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Background: Severe posttraumatic stress disorder (PTSD) is a prevalent and debilitating condition in the United States. and globally. Using pooled efficacy data from six phase 2 trials, therapy using 3,4-methylenedioxymethamphetamine (MDMA) appeared cost-saving from a payer's perspective. This study updates the cost-effectiveness analysis of this novel therapy using data from a new phase 3 trial, including the incremental cost-effectiveness of the more intensive phase 3 regimen compared with the shorter phase 2 regimen., Methods: We adapted a previously-published Markov model to portray the costs and health benefits of providing MDMA-assisted therapy (MDMA-AT) to patients with chronic, severe, or extreme PTSD in a recent phase 3 trial, compared with standard care. Inputs were based on trial results and published literature. The trial treated 90 patients with a clinician administered PTSD scale (CAPS-5) total severity score of 35 or greater at baseline, and duration of PTSD symptoms of 6 months or longer. The primary outcome was assessed 8 weeks after the final experimental session. Patients received three 90-minute preparatory psychotherapy sessions, three 8-hour active MDMA or placebo sessions, and nine 90-minute integrative psychotherapy sessions. Our model calculates the per-patient cost of MDMA-AT, net all-cause medical costs, mortality, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). We reported results from the U.S. health care payer's perspective for multiple analytic time horizons, (base-case is 30 years), and conducted extensive sensitivity analyses. Costs and QALYs were discounted by 3% annually. Costs were adjusted to 2020 U.S. dollars according to the medical component of the U.S. Bureau of Labor Statistics' Consumer Price Index (CPI)., Results: MDMA-AT as conducted in the phase 3 trial costs $11,537 per patient. Compared to standard of care for 1,000 patients, MDMA-AT generates discounted net health care savings of $132.9 million over 30 years, accruing 4,856 QALYs, and averting 61.4 premature deaths. MDMA-AT breaks even on cost at 3.8 years while delivering 887 QALYs. A third MDMA session generates additional medical savings and health benefits compared with a two-session regimen. Hypothetically assuming no savings in health care costs, MDMA-AT has an ICER of $2,384 per QALY gained., Conclusions: MDMA-AT provided to patients with severe or extreme chronic PTSD is cost-saving from a payer's perspective, while delivering substantial clinical benefit., Competing Interests: The authors have declared that no competing interests exist.

Acquired thrombotic thrombocytopenic purpura (TTP) is a life-threatening disease characterized by thrombotic microangiopathy leading to end-organ damage. The standard of care (SOC) treatment is therapeutic plasma exchange (TPE) alongside immunomodulation with steroids, with increasing use of rituximab ± other immunomodulatory agents. The addition of caplacizumab, a nanobody targeting von Willebrand factor, was shown to accelerate platelet count recovery and reduce TPE treatments and hospital length of stay in TTP patients treated in 2 major randomized clinical trials. The addition of caplacizumab to SOC also led to increased bleeding from transient reductions in von Willebrand factor and increased relapse rates. Using data from the 2 clinical trials of caplacizumab, we performed the first-ever cost-effectiveness analysis in TTP. Over a 5-year period, the projected incremental cost-effectiveness ratio (ICER) in our Markov model was $1 482 260, significantly above the accepted 2019 US willingness-to-pay threshold of $195 300. One-way sensitivity analyses showed the utility of the well state and the cost of caplacizumab to have the largest effects on ICER, with a reduction in caplacizumab cost demonstrating the single greatest impact on lowering the ICER. In a probabilistic sensitivity analysis, SOC was favored over caplacizumab in 100% of 10 000 iterations. Our data indicate that the addition of caplacizumab to SOC in treatment of acquired TTP is not cost effective because of the high cost of the medication and its failure to improve relapse rates. The potential impact of caplacizumab on health system cost using longer term follow-up data merits further study., (© 2021 by The American Society of Hematology.)

Objectives: Amid a rapid increase in cancer care costs, we examined the extent to which economic evaluations (EEs) were conducted for new treatments evaluated in clinical trials at SWOG, a large National Cancer Institute-sponsored cancer research network., Methods: We investigated phase III cancer treatment clinical trials activated from 1980 onward with primary articles reporting the protocol-designated endpoints published in scientific journals by 2017. Using PubMed, Web of Science, and EconLit, we searched for EEs using trial name, cancer type, information on the comparison arms, and refined keywords for EE designs. We reported the overall proportion of trials with associated EEs and trends of this proportion over time. We synthesized and analyzed information on funding sources, health outcomes, and sources of quality-of-life and cost data from the EEs., Results: Among 182 examined trials, 15 EEs were associated with 13 (7.1%) trials. Among the EEs, almost half (7 of 15) were either unfunded or did not report funding information, whereas nearly half (7 of 15) were funded by pharmaceutical companies and 2 (2 of 15, 13.3%) were supported by federal funding. All EEs reported a healthcare payer perspective. The proportion of trials with an associated EE increased from 1980 to 1989 and 2000 to 2009, but never exceeded 11%. Sources for cost and quality-of-life data for the EEs primarily came from outside the clinical trials., Conclusions: Few economic studies of treatments evaluated in National Cancer Institute-sponsored clinical trials have been conducted. Policymakers, payers, and patients lack economic evidence to consider newly evaluated cancer treatments, despite an urgent need to control healthcare costs., (Copyright © 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.)

The number of people in the United States living with Alzheimer disease (AD) is growing, resulting in significant clinical and economic impact. Substantial research investment has led to drug development in stages of AD before symptomatic dementia, such as preclinical AD. Although there are no treatments approved for preclinical AD, there are currently 6 phase 3 clinical trials for preclinical AD treatments. In this article, we review these clinical trials and highlight considerations for future coverage decisions. In line with the definition of preclinical AD, enrollment in these trials focuses on cognitively unimpaired patients that are at high risk of AD because of family history and then genetic testing or brain imaging. Enrollment in most of these trials also allows for younger patients, including those aged under 65 years. Primary clinical trial endpoints focus on cognition often 4 or more years after treatment. Secondary endpoints include other measures of cognition and function, as well as biomarkers. Review of these trials brings to light a few potential considerations when covering these new medications in the future. First, novel and potentially costly approaches involving genetic testing and/or positron emission tomography imaging may be needed to identify appropriate patients and should be developed efficiently. Second, the long duration of these clinical trials suggest that there may be a need for alternative payment approaches in the United States that encourage early payers to pay for a medication for which the long-term benefits may not be realized until after the beneficiary is no longer with the health plan. Third, the value of AD treatments may differ across populations, creating a potential role for indication-based or population-based contracting. Finally, considering the potentially high budgetary impact and little real-world evidence for a new drug class, payers and manufacturers may want to consider outcomes-based payment approaches and coverage with evidence development to mitigate uncertainty about the value of the treatment demonstrated in well-defined populations in clinical trials versus more heterogeneous real-world settings. DISCLOSURES: This work was funded through a generous gift from the Global CEO Initiative on Alzheimer Disease. Hung reports grants from Agency for Healthcare Research and Quality and Pharmaceutical Research and Manufacturers of America outside the submitted work and past employment at CVS Health and BlueCross BlueShield Association. McClellan is an independent board member on the boards of Johnson & Johnson, Cigna, Alignment Healthcare, and Seer; co-chairs the Accountable Care Learning Collaborative and the Guiding Committee for the Health Care Payment Learning and Action Network; and receives fees for serving as an advisor for Cota and MITRE. Hamilton Lopez and Schneider have nothing to disclose. Part of this work was presented at the 2019 AMCP Nexus Meeting, October 29-November 1, 2019, in National Harbor, MD.

The large number of failures in phase III clinical trials, which occur at a rate of approximately 45%, is studied herein relative to possible countermeasures. First, the phenomenon of failures is numerically described. Second, the main reasons for failures are reported, together with some generic improvements suggested in the related literature. This study shows how statistics explain, but do not justify, the high failure rate observed. The rate of failures due to a lack of efficacy that are not expected, is considered to be at least 10%. Expanding phase II is the simplest and most intuitive way to reduce phase III failures since it can reduce phase III false negative findings and launches of phase III trials when the treatment is positive but suboptimal. Moreover, phase II enlargement is discussed using an economic profile. As resources for research are often limited, enlarging phase II should be evaluated on a case-by-case basis. Alternative strategies, such as biomarker-based enrichments and adaptive designs, may aid in reducing failures. However, these strategies also have very low application rates with little likelihood of rapid growth., (© 2019 John Wiley & Sons, Ltd.)

Background: Recently, patients who received induction chemotherapy plus concurrent chemoradiotherapy for locoregionally advanced nasopharyngeal carcinoma were found to have survival advantages compared with those receiving concurrent chemoradiotherapy alone in two large randomized trials. Based on these two trials, we present a cost-effectiveness analysis to compare gemcitabine and cisplatin (GP) versus cisplatin, fluorouracil, and docetaxel (TPF) for induction chemotherapy to treat locoregionally advanced nasopharyngeal carcinoma., Methods: We constructed a Markov model to compare the cost and effectiveness of GP versus TPF. Clinical data including the frequency of adverse events, recurrence and death obtained from two randomized phase III trials were used to calculate transition probabilities and costs. Health utilities were estimated from the literature. Incremental cost-effectiveness ratios, expressed as dollars per quality-adjusted life-year (QALY), were calculated, and incremental cost-effectiveness ratios less than $27,534.25/QALY (3 × the per capita GDP of China, 2018) were considered cost-effective. One-way sensitivity and probabilistic sensitivity analyses explored the robustness of the model., Results: Our base case model found that the total cost was $53,082.68 in the GP group and $45,482.66 in the TPF group. The QALYs were 6.82 and 4.11, respectively. The incremental cost-effectiveness ratio favoured the GP regimen, at an incremental cost of $2,804.44 per QALY. The probabilistic sensitivity analysis found that treatment with the GP regimen was cost-effective 100% of the time at a willingness-to-pay threshold of $27,534.25‬/QALY., Conclusion: In this model, GP was estimated to be cost-effective compared with cisplatin, fluorouracil, and docetaxel for patients with locoregionally advanced nasopharyngeal carcinoma from the payer's perspectives in the China., Competing Interests: Declaration of Competing Interest All the authors declare no conflicts of interest., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Christian Lienhardt and co-authors discuss the conclusions of the PLOS Medicine Collection on advances in clinical trial design for development of new tuberculosis treatments., Competing Interests: The authors have declared that no competing interests exist.

Background: Value of information (VOI) analysis often requires modeling to characterize and propagate uncertainty. In collaboration with a cancer clinical trial group, we integrated a VOI approach to assessing trial proposals., Objective: This paper aims to explore the impact of modeling choices on VOI results and to share lessons learned from the experience., Methods: After selecting two proposals (A: phase III, breast cancer; B: phase II, pancreatic cancer) for in-depth evaluations, we categorized key modeling choices relevant to trial decision makers (characterizing uncertainty of efficacy, evidence thresholds to change clinical practice, and sample size) and modelers (cycle length, survival distribution, simulation runs, and other choices). Using a $150,000 per quality-adjusted life-year (QALY) threshold, we calculated the patient-level expected value of sample information (EVSI) for each proposal and examined whether each modeling choice led to relative change of more than 10% from the averaged base-case estimate. We separately analyzed the impact of the effective time horizon., Results: The base-case EVSI was $118,300 for Proposal A and $22,200 for Proposal B per patient. Characterizing uncertainty of efficacy was the most important choice in both proposals (e.g. Proposal A: $118,300 using historical data vs. $348,300 using expert survey), followed by the sample size and the choice of survival distribution. The assumed effective time horizon also had a substantial impact on the population-level EVSI., Conclusions: Modeling choices can have a substantial impact on VOI. Therefore, it is important for groups working to incorporate VOI into research prioritization to adhere to best practices, be clear in their reporting and justification for modeling choices, and to work closely with the relevant decision makers, with particular attention to modeling choices.

Importance: Seminal investigation 2 decades ago alerted the oncology community to age disparities in participation in cooperative group trials; less is known about whether these disparities persist in industry-funded research., Objective: To characterize the age disparities among trial enrollees on randomized clinical trials (RCTs) of common cancers in clinical oncology and identify factors associated with wider age imbalances., Data Sources: Phase 3 clinical oncology RCTs were identified through ClinicalTrials.gov., Study Selection: Multiarm RCTs assessing a therapeutic intervention for patients with breast, prostate, colorectal, or lung cancer (the 4 most common cancer disease sites) were included., Data Extraction and Synthesis: Trial data were extracted from ClinicalTrials.gov. Trial screening and parameter identification were independently performed by 2 individuals. Data were analyzed in 2018., Main Outcomes and Measures: The difference in median age (DMA) between the trial participant median age and the population-based disease-site-specific median age was determined for each trial., Results: Three hundred two trials met inclusion criteria. The trials collectively enrolled 262 354 participants; 249 trials (82.5%) were industry-funded. For all trials, the trial median age of trial participants was a mean of 6.49 years younger than the population median age (95% CI, -7.17 to -5.81 years; P < .001). Age disparities were heightened among industry-funded trials compared with non-industry-funded trials (mean DMA, -6.84 vs -4.72 years; P = .002). Enrollment criteria restrictions based on performance status or age cutoffs were associated with age disparities; however, industry-funded trials were not more likely to use these enrollment restrictions than non-industry-funded trials. Age disparities were also larger among trials that evaluated a targeted systemic therapy and among lung cancer trials. Linear regression modeling revealed a widening gap between trial and population median ages over time at a rate of -0.19 years annually (95% CI, -0.37 to -0.01 years; P = .04)., Conclusions and Relevance: Age disparities between trial participants and the incident disease population are pervasive across trials and appear to be increasing over time. Industry sponsorship of trials is associated with heightened age imbalances among trial participants. With an increasing role of industry funding among cancer trials, efforts to understand and address age disparities are necessary to ensure generalizability of trial results as well as equity in trial access.

Importance: Only 3.4% of cancer drugs evaluated in phase 1 trials are approved by the US Food and Drug Administration, with most failing in phase 3 trials., Objective: To investigate whether an association exists between the sponsorship and conduct of a negative phase 3 randomized clinical trial (RCT) investigating a cancer drug that lacked supporting phase 2 trial evidence for that drug, and to evaluate the association with overall survival among patients randomized to the experimental arm of such phase 3 trials., Data Sources: Articles in the Lancet, Lancet Oncology, JAMA, JAMA Oncology, and Journal of Clinical Oncology published between January 2016 and June 2018 were searched., Study Selection: Phase 3 RCTs of cancer drugs that failed to improve the primary end point were selected and any prior phase 2 trial of the same drug that supported the phase 3 trial was selected without any date or journal restrictions., Data Extraction and Synthesis: Percentages of negative phase 3 RCTs of cancer drugs that lacked any phase 2 evidence, had a negative phase 2 trial, or had a positive phase 2 study were extracted. Associations were assessed using the Fisher exact test. Pooled hazard ratios and 95% CIs for the overall survival of patients enrolled in these negative phase 3 RCTs were estimated using a random-effects model., Main Outcomes and Measures: Negative phase 3 RCTs with a lack of a phase 2 trial or the presence of a negative phase 2 trial and overall survival of enrolled patients in the phase 3 RCTs., Results: In this meta-epidemiological study, 67 negative phase 3 RCTs on cancer drugs, which included 64 600 patients, met the criteria of being sponsored by industry or academic groups, of which 42 RCTs (63%) were industry sponsored and the remaining 25 RCTs (37%) were academic. A phase 2 trial was not available for 28 of these trials (42%). Of 29 trials (43%) with a phase 2 trial available, 8 trials (28%) failed to meet their primary end points and 5 of those were industry sponsored. There was no association with overall survival for patients participating in these negative phase 3 RCTs (pooled hazard ratio, 0.99; 95% CI, 0.96-1.02). When the pooled analysis was limited to the 27 RCTs with a hazard ratio above 1.00, the overall pooled hazard ratio for overall survival was 1.11 (95% CI, 1.06-1.16). No association between having a negative or undefined phase 2 trial and trial sponsorship was found using the Fisher exact test., Conclusions and Relevance: More than 40% of the negative phase 3 RCTs in oncology published in these 5 journals were conducted without a supporting phase 2 trial and were sponsored by both academia and industry. Running such trials not only may risk loss of resources owing to a failed trial but also may be associated with decreased patient survival. Further research and regulations in this area appear warranted.

In the United States, the population aged 65 and older is rapidly growing, and this group uses more healthcare resources and has unique healthcare needs that do not exist in younger populations. However, it was reported that older adults are excluded or underrepresented in clinical trials for several diseases. We examined phase III clinical trials funded by the National Institutes of Health found in www.clinicaltrials.gov from 1965 to 2015 that addressed top causes for hospitalization and/or disability-adjusted life years in older adults: congestive heart failure (n = 45), cardiac dysrhythmias (n = 24), coronary atherosclerosis (n = 106), heart attack (n = 76), stroke (n = 113), chronic obstructive pulmonary disease (n = 14), pneumonia (n = 48), lung cancer (n = 117), prostate cancer (n = 65), and osteoarthritis (n = 15). We then analyzed the representation of older adults in these studies. We found that 33% of studies had arbitrary upper age limits, and 67% of studies reported mean and/or median ages that skewed younger than expected for the disease or condition of interest. Beyond explicit exclusion by age, older adults were often implicitly excluded based on various comorbid conditions such as polypharmacy/concomitant medication (37%) or cardiac issues (30%). We conclude that outcomes of these trials may not be fully generalizable to the general population of older adults. J Am Geriatr Soc 67:218-222, 2019., (Published 2019. This article is a U.S. Government work and is in the public domain in the USA.)

Background: Clinical trials are important but extremely costly. Utilization of routinely collected administrative data may simplify and enhance clinical trial data collection., Purpose: The aim of this study was to test the feasibility of use of administrative databases in Ontario, Canada, for long-term clinical trial follow-up, specifically (a) to determine whether limited patient identifiers held by the Canadian Cancer Trials Group can be used to probabilistically link with individuals in the Institute for Clinical Evaluative Sciences databases and if so, (b) the level of concordance between the two data sets., Methods: This retrospective study was conducted through collaboration of established health service (Institute for Clinical Evaluative Sciences) and clinical trial (Canadian Cancer Trials Group) research groups in the province of Ontario, Canada, where healthcare is predominantly funded by the government. Adults with pre-treated metastatic colorectal cancer previously enrolled in the Canadian Cancer Trials Group CO.17 and CO.20 randomized phase III trials were included, limited to those in Ontario. The main outcomes were rate of successful probabilistic linkage and concordance of survival data, stated a priori., Results: Probabilistic linkage was successful in 266/293 (90.8%) participants. In those patients for whom linkage was successful, the Canadian Cancer Trials Group (trial) and the Institute for Clinical Evaluative Sciences (administrative) data sets were concordant with regard to the occurrence of death during the period of clinical trial follow-up in 206/209 (98.6%). Death was recorded in the Institute for Clinical Evaluative Sciences, but not the Canadian Cancer Trials Group, for 57 cases, where the event occurred after the clinical trial cut-off dates. The recorded date of death matched closely between both databases. During the period of clinical trial conduct, administrative databases contained details of hospitalizations and emergency room visits not captured in the clinical trial electronic database., Conclusion: Prospective use of administrative data could enhance clinical trial data collection, both for long-term follow-up and resource utilization for economic analyses and do so less expensively than current primary data collection. Recording a unique identifier (e.g. health insurance number) in trial databases would allow deterministic linkage for all participants.

Aim: The aim of the present study was to assess the estimated "per patient" total cost for a single Oncologic Italian Cancer Center participating in a multicenter clinical trial with new anticancer biological agents using the activity-based costing (ABC) methodology., Methodology: Nine randomized phase 3 clinical trials employing biological agents at the National Cancer Institute of Napoli, Italy, were analyzed to indentify "per patient" costs of each trial, according to the ABC methodology. The average consumption of resources for a patient completing the entire planned treatment was estimated for each trial. Through interviews of the personnel (doctors, nurses and technicians) and by analyses of the clinical trials protocols, the main activities of the 9 clinical trials were identified and, for each trial, the complete health care pathway of the patients and the treatment programmes were minutely reconstructed. Drug costs were not included because provided by Sponsors., Principal Findings: The average costs of the pre-study, treatment, monitoring, follow-up, audit, and administrative activities accounted for 2.357, 4.783, 700, 372, 1.263, and 9 Euro, respectively. The average total cost estimated for all "per patient" activities, including overhead costs, was 11.379 Euro. Staff costs accounted for € 5.988, while costs of diagnostic test accounted for 3.494 Euro. Clinical trials with immunotherapeutic drugs accounted for higher costs (+601 Euro as oncological staff costs, +1.318 Euro as intermediate services cost and +384 Euro as overheads)., Conclusions: The average total cost estimated for all "per patient" activities of a clinical trial with new anticancer biological agents was 11.379 Euro using the ABC methodology., Competing Interests: The authors have declared that no competing interests exist.

Most patients still have limited or no access to life-changing therapeutic proteins in the treatment of their cancer or autoimmune disorders. The current clinical development model of biosimilars is expensive, and in most cases, large, phase 3 trials do not provide meaningful information on the clinical equivalence of biosimilars and reference compounds. At the same time, the development of state-of-the-art orthogonal analytical methods has enabled a better understanding of the structure and structure-function relationship of biotherapeutics. Hence, we suggest here that a solid chemistry, manufacturing, and controls (CMC) package and meaningful phase 1 studies will leave limited uncertainty on biosimilarity, which can be addressed-if needed-by post-approval, long-term follow-up studies (post-approval studies, pharmacovigilance, real world evidence data and registries, and possibly new post-approval models to be developed). We believe that this new approach may be more appropriate than 600- to 1000-patient, phase 3 trials in assessing biosimilarity and therapeutic equivalence, under the condition that the administered biosimilar given to individual patients can be clearly identified. Obviously, there will probably never be a "one size fits all" development model, and an individualized, risk-based approach to biosimilar development will always have to be considered and discussed early with regulators.

Objective: The aim was to determine the cost effectiveness of secukinumab, a fully human interleukin-17A inhibitor, for adults in the UK with active psoriatic arthritis (PsA) who are tumour necrosis factor inhibitor (TNFi) naïve and without concomitant moderate-to-severe psoriasis, and who have responded inadequately to conventional systemic disease-modifying anti-rheumatic drugs (csDMARDs)., Perspective and Setting: The study took the perspective and setting of the UK National Health Service (NHS)., Methods: The model structure was a 3-month decision tree leading into a Markov model. Separate analyses based on the number of prior csDMARDs (one and  two or more) were conducted, with secukinumab 150 mg compared to standard of care (SoC) and TNFis, respectively, for each subpopulation. Clinical parameters, including response at 3 months, were from the FUTURE 2 trial and a network meta-analysis. Outcomes included total costs and quality-adjusted life years (QALYs) over the 40-year time horizon (3.5% annual discount for both outcomes; cost year 2017), and incremental cost effectiveness ratios (ICERs)., Results: The ICER for secukinumab 150 mg versus SoC was £28,748 per QALY gained (one prior csDMARD). Secukinumab 150 mg dominated golimumab, certolizumab pegol and etanercept, and had an ICER of £5680 per QALY gained versus adalimumab and > £1 million saved per QALY foregone versus infliximab (two or more prior csDMARDs). Valuing one QALY at between £20,000 and £30,000, the probability of secukinumab having the highest net monetary benefit was 48.9% (one prior csDMARD) and 88.9% (two or more prior csDMARDs). Parameters related to Health Assessment Questionnaire scores were most influential., Conclusions: Secukinumab 150 mg at list price appears to represent a cost-effective use of NHS resources for adults with PsA who have responded inadequately to one or two or more prior csDMARDs.

There are many difficulties in undertaking independent clinical research without support from the pharmaceutical industry. In this retrospective observational study, some design characteristics, the clinical trial public register and the publication rate of noncommercial clinical trials were compared to those of commercial clinical trials. A total of 809 applications of drug-evaluation clinical trials were submitted from May 2004 to May 2009 to the research ethics committee of a tertiary hospital, and 16.3% of trials were noncommercial. They were mainly phase IV, multicentre national, and unmasked controlled trials, compared to the commercial trials that were mainly phase II or III, multicentre international, and double-blind masked trials. The commercial trials were registered and published more often than noncommercial trials. More funding for noncommercial research is still needed. The results of the research, commercial or noncommercial, should be disseminated in order not to compromise either its scientific or its social value., (© 2018 The British Pharmacological Society.)

Actinic keratosis (AK) is a clinical condition characterized by keratinocytic dysplastic lesions of the epidermis, affecting individuals chronically exposed to sunlight. Topical therapies allow the treatment of a whole area of affected skin and currently include diclofenac sodium gel, 5-fluorouracil cream, 5-fluorouracil and acetylsalicylic acid solution, imiquimod cream, and ingenol mebutate gel. Due to the comparable efficacy of 3% diclofenac, ingenol mebutate, and 3.75% imiquimod in treating AK multiple lesions, a pharmacoeconomic evaluation of cost-effectiveness of the three treatments was needed. A cost-efficacy analysis comparing 3% diclofenac sodium with ingenol mebutate and 3.75% imiquimod was performed. In this analysis, efficacy data were combined with quality-of-life measurement derived from previous studies as well as the costs associated with the management of these lesions in Italy. Patients' demographics and clinical characteristics were assumed to reflect those from the clinical studies considered.

Introduction: In ovarian cancer, it is uncertain which chemotherapy regimen is more clinically effective and cost-effective for the treatment of recurrence; therefore, it might be interesting to make a balance between the cost of the drugs administered and the difference in progression-free survival (PFS) and overall survival (OS)., Methods: The present evaluation was restricted to pivotal phase 3 randomized controlled trials. We calculated the pharmacological costs necessary to get the benefit in PFS and OS. The costs of drugs are at the pharmacy of our hospital and are expressed in Euros (&OV0556;). We have subsequently applied the European Society for Medical Oncology Magnitude of Clinical Benefit Scale., Results: Our study evaluated 3 phase 3 randomized controlled trials, including 2004 patients. The most relevant increase of costs was associated with the combination chemotherapy including trabectedin, with the highest costs for month of PFS gained (15,836 &OV0556;) and for month of OS gained (7198 &OV0556;), but it substantially differs considering the data of partially platinum-sensitive populations (platinum-free interval of 6-12 months), with 3959 &OV0556; for month of OS gained., Conclusions: The addition of trabectedin to pegylated liposomal doxorubicin for the treatment of recurrent ovarian cancer can lead to an increase of pharmacological costs. Differently, considering OS in patients with platinum-free interval of 6 to 12 months, there is a halving of pharmacological costs with the addition of trabectedin to pegylated liposomal doxorubicin. These costs are in line with the spending suggested as sustainable (thresholds of <$61,500 per life-year gained).

Harmonized regulation of research with human stem cells in Europe has shaped innovation in regenerative medicine. Findings from a Phase III academic clinical trial of an autologous cell procedure illustrate the obstacles that a multinational trial faces. A typology of the obstacles encountered, may help other teams embarking upon trials. The findings throw light on the situation of clinician-scientists in clinical innovation, as the expertise to run scientific trials is very complex. The innovation route of clinical translation takes insufficient account of the interdependencies between multiple social and cultural factors from outside the laboratory and the clinic. For ethical reasons, however, academic and business routes to stem cell treatments ought to be enabled by the regulators. Suggestions arise, how academics can prepare for trials, that academic research needs better institutional support and that new models of medical innovation may need to be developed for regenerative medicine.

Objectives: Given the limited resources available to conduct clinical trials, it is important to understand how trial sponsorship differs among different therapeutic modalities and cancer types and to consider the ramifications of these differences., Methods: We searched clinicaltrials.gov for a cross-sectional register of active, phase III, randomized controlled trials (RCTs) studying treatment-related endpoints such as survival and recurrence for the 24 most prevalent malignancies. We classified the RCTs into 7 categories of therapeutic modality: (1) chemotherapy/other cancer-directed drugs, (2) targeted therapy, (3) surgery, (4) radiation therapy (RT), (5) RT with other modalities, (6) multimodality therapy without RT, and (7) other. RCTs were categorized as being funded by one or more of the following groups: (1) government, (2) hospital/university, (3) industry, and (4) other. χ analysis was performed to detect differences in funding source distribution between modalities and cancer types., Results: The percentage of multimodality trials (5%) and radiation RCTs (4%) funded by industry was less than that for chemotherapy (32%, P<0.01) or targeted therapy (48%, P<0.01). Trials studying targeted therapy were less likely to have hospital/university funding than any of the other modalities (P<0.01 in each comparison). Trials of chemotherapy were more likely to be funded by industry if they also studied targeted therapy (P<0.01)., Conclusion: RCTs studying targeted therapies are more likely to be funded by industry than trials studying multimodality therapy or radiation. The impact of industry funding versus institutional or governmental sources of funding for cancer research is unclear and requires further study.

The multicenter phase III preclinical trial concept is currently discussed to enhance the predictive value of preclinical stroke research. After public announcement, we collected a community feedback on the concept with emphasis on potential design features and guidelines by an anonymous survey. Response analysis was conducted after plausibility checks by applying qualitative and quantitative measures. Most respondents supported the concept, including the implementation of a centralized steering committee. Based on received feedback, we suggest careful, stepwise implementation and to leave selected competencies and endpoint analysis at the discretion of participating centers. Strict application of quality assurance methods is accepted, but should be harmonized. However, received responses also indicate that the application of particular quality assurance models may require more attention throughout the community. Interestingly, clear and pragmatic preferences were given regarding publication and financing, suggesting the establishing of writing committees similar to large-scale clinical trials and global funding resources for financial support. The broad acceptance among research community encourages phase III preclinical trial implementation.

Introduction: The widespread adoption of electronic health records (EHR) provides a new opportunity to improve the efficiency of clinical research. The European EHR4CR (Electronic Health Records for Clinical Research) 4-year project has developed an innovative technological platform to enable the re-use of EHR data for clinical research. The objective of this cost-benefit assessment (CBA) is to assess the value of EHR4CR solutions compared to current practices, from the perspective of sponsors of clinical trials., Materials and Methods: A CBA model was developed using an advanced modeling approach. The costs of performing three clinical research scenarios (S) applied to a hypothetical Phase II or III oncology clinical trial workflow (reference case) were estimated under current and EHR4CR conditions, namely protocol feasibility assessment (S1), patient identification for recruitment (S2), and clinical study execution (S3). The potential benefits were calculated considering that the estimated reduction in actual person-time and costs for performing EHR4CR S1, S2, and S3 would accelerate time to market (TTM). Probabilistic sensitivity analyses using Monte Carlo simulations were conducted to manage uncertainty., Results: Should the estimated efficiency gains achieved with the EHR4CR platform translate into faster TTM, the expected benefits for the global pharmaceutical oncology sector were estimated at €161.5m (S1), €45.7m (S2), €204.5m (S1+S2), €1906m (S3), and up to €2121.8m (S1+S2+S3) when the scenarios were used sequentially., Conclusions: The results suggest that optimizing clinical trial design and execution with the EHR4CR platform would generate substantial added value for pharmaceutical industry, as main sponsors of clinical trials in Europe, and beyond., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Background: The extent to which trial-level factors differentially influence accrual to trials has not been comprehensively studied. Our objective was to evaluate the empirical relationship and predictive properties of putative risk factors for low accrual in the National Cancer Institute's (NCI's) Cooperative Group Program, now the National Clinical Trials Network (NCTN)., Methods: Data from 787 phase II/III adult NCTN-sponsored trials launched between 2000 and 2011 were used to develop a logistic regression model to predict low accrual, defined as trials that closed with or were accruing at less than 50% of target; 46 trials opened between 2012 and 2013 were used for prospective validation. Candidate predictors were identified from a literature review and expert interviews; final predictors were selected using stepwise regression. Model performance was evaluated by calibration and discrimination via the area under the curve (AUC). All statistical tests were two-sided., Results: Eighteen percent (n = 145) of NCTN-sponsored trials closed with low accrual or were accruing at less than 50% of target three years or more after initiation. A multivariable model of twelve trial-level risk factors had good calibration and discrimination for predicting trials with low accrual (AUC in trials launched 2000-2011 = 0.739, 95% confidence interval [CI] = 0.696 to 0.783]; 2012-2013: AUC = 0.732, 95% CI = 0.547 to 0.917). Results were robust to different definitions of low accrual and predictor selection strategies., Conclusions: We identified multiple characteristics of NCTN-sponsored trials associated with low accrual, several of which have not been previously empirically described, and developed a prediction model that can provide a useful estimate of accrual risk based on these factors. Future work should assess the role of such prediction tools in trial design and prioritization decisions., (© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.)

Spark Therapeutics recently reported positive phase III results for SPK-RPE65 targeting the treatment of visual impairment caused by RPE65 gene mutations (often referred to as Leber congenital amaurosis type 2, or LCA2, but may include other retinal disorders), marking an important inflection point for the field of gene therapy. The results highlight the ability to successfully design and execute a randomized trial of a gene therapy and also reinforce the potentially predictive nature of early preclinical and clinical data. The results are expected to pave the way for the first approved gene therapy product in the United States and should sustain investor interest and confidence in gene therapy for many approaches, including retina targeting and beyond.

Purpose: Correct interpretation of subgroup analyses (SGA) is important as it influences selection of therapeutic interventions for patient subsets. The primary aim of our study was to compare reporting of SGA between industry and non-industry sponsored trials., Methods: We performed a systematic literature review and extracted data from journal articles (JA) and conference abstracts (CA) published over a decade reporting SGA results of phase III randomised controlled gastrointestinal (GI) oncology trials with patient participants of ≥150., Results: In JA, SGA was reported in 100/145 (69%) trials: 41/54 industry sponsored (76%; 95% confidence interval [CI]: 63-86%) and 59/91 non-industry sponsored (65%; 95% CI: 55-74%) trials (p = 0.16). In CA, SGA was reported in 86/204 (42%) trials: 43/83 industry sponsored (52%; 95% CI: 41-62%) and 43/121 non-industry sponsored (36%; 95% CI: 28-44%) trials (p = 0.02). Number of SGA performed per trial was significantly larger for industry compared to non-industry sponsored trials in both JA (median 6 versus 2, p = 0.003) and CA (median 1 versus 0, p = 0.023). Claims of subgroup effect were made in 52% of trials in JA and 50% in CA, with significant test of interaction evident in only 25% of JA and 16% of CA, with no difference between industry and non-industry trials. Industry sponsored trials with a significant primary end-point reported more SGA (p < 0.001 JA; p = 0.046 CA)., Conclusions: Industry sponsored trials reported more SGA. Claimed subgroup effects were often not accompanied by significant interaction test; thus circumspection should be adopted when using SGA to deviate from standard therapeutic decision-making in GI oncology., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

Background: Few randomised controlled trials (RCTs) recruit centres representatively, which may limit the external validity of trial results., Objective: The aim of this study was to propose a proof-of-concept method of assessing the generalisability of the clinical and cost-effectiveness findings of a given RCT., Methods: We developed a generalisability index (Gix), informed by centre-level characteristics, as a measure of centre and trial representativeness. The centre-level Gix quantifies how representative a centre is in relation to its jurisdiction, e.g. a country or health authority. The trial-level Gix quantifies how representative trial recruitment is in relation to clinical practice in the jurisdiction. Taking a real-world RCT as a case study and assuming trial-wide results to represent 'true jurisdiction values', we used simulation methods to recreate 5000 RCTs and investigate the relationship between trial representativeness, reflected by the standardised trial-Gix, and the deviation of simulated trial results from the 'true values'., Results: The simulation study provides evidence that trial results (odds ratio for the primary outcome and incremental quality-adjusted life-years) were influenced by the representativeness of the sample of recruiting centres. Simulated RCTs with the closest results to the 'true values' were those whose recruitment closely mirrored the jurisdiction-wide context. Results appeared robust to six alternative specifications of the Gix., Conclusions: Our findings suggest that an unrepresentative selection of centres limits the external validity of trial results. The Gix may be a valuable tool to help facilitate rational selection of trial centres and ensure the generalisability of results at the jurisdiction level.

Background: Despite the promising benefits of adaptive designs (ADs), their routine use, especially in confirmatory trials, is lagging behind the prominence given to them in the statistical literature. Much of the previous research to understand barriers and potential facilitators to the use of ADs has been driven from a pharmaceutical drug development perspective, with little focus on trials in the public sector. In this paper, we explore key stakeholders' experiences, perceptions and views on barriers and facilitators to the use of ADs in publicly funded confirmatory trials., Methods: Semi-structured, in-depth interviews of key stakeholders in clinical trials research (CTU directors, funding board and panel members, statisticians, regulators, chief investigators, data monitoring committee members and health economists) were conducted through telephone or face-to-face sessions, predominantly in the UK. We purposively selected participants sequentially to optimise maximum variation in views and experiences. We employed the framework approach to analyse the qualitative data., Results: We interviewed 27 participants. We found some of the perceived barriers to be: lack of knowledge and experience coupled with paucity of case studies, lack of applied training, degree of reluctance to use ADs, lack of bridge funding and time to support design work, lack of statistical expertise, some anxiety about the impact of early trial stopping on researchers' employment contracts, lack of understanding of acceptable scope of ADs and when ADs are appropriate, and statistical and practical complexities. Reluctance to use ADs seemed to be influenced by: therapeutic area, unfamiliarity, concerns about their robustness in decision-making and acceptability of findings to change practice, perceived complexities and proposed type of AD, among others., Conclusions: There are still considerable multifaceted, individual and organisational obstacles to be addressed to improve uptake, and successful implementation of ADs when appropriate. Nevertheless, inferred positive change in attitudes and receptiveness towards the appropriate use of ADs by public funders are supportive and are a stepping stone for the future utilisation of ADs by researchers.

In 2008, Brazil's Federal Council of Medicine [Conselho Federal de Medicina] (CFM)--regulatory and supervisory agency on the ethical practice of medicine--banned the participation of Brazilian doctors in studies using placebos for diseases with efficient and effective treatment. This position differs with the Helsinki Declaration, which allows the use of placebos in methodologically justified conditions. To ascertain whether the CMF's ethical regulation modified the use of placebos in phase III clinical trials in Brazil, characteristics of the records in ClinicalTrials.gov were researched in the periods from 2003 to 2007 and from 2009 to 2013. The conclusions reached were: a) the regulations issued by the CFM in 2008 were ineffective and the position adopted by the Helsinki Declaration prevails; b) there was significant sponsorship by the multinational pharmaceutical industry of trials with placebos; c) the research was predominantly on new drugs for chronic diseases, with little study done of the neglected diseases which are of great importance to Brazil.

Although most research professionals believe that protocol designs contain a growing number of unnecessary and redundant procedures generating unused data, incurring high cost, and jeopardizing study success, there are no published studies systematically examining this issue. Between November 2011 and May 2012, Tufts Center for the Study of Drug Development conducted a study among a working group of 15 pharmaceutical companies in which a total of 25,103 individual protocol procedures were evaluated and classified using clinical study reports and analysis plans. The results show that the typical later-stage protocol had an average of 7 objectives and 13 end points of which 53.8% are supplementary. One (24.7%) of every 4 procedures performed per phase-III protocol and 17.7% of all phase-II procedures per protocol were classified as "Noncore" in that they supported supplemental secondary, tertiary, and exploratory end points. For phase-III protocols, 23.6% of all procedures supported regulatory compliance requirements and 15.9% supported those for phase-II protocols. The study also found that on average, $1.7 million (18.5% of the total) is spent in direct costs to administer Noncore procedures per phase-III protocol and $0.3 million (13.1% of the total) in direct costs are spent on Noncore procedures for each phase-II protocol. Based on the results of this study, the total direct cost to perform Noncore procedures for all active annual phase-II and phase-III protocols is conservatively estimated at $3.7 billion annually, not including the indirect costs associated with collecting and managing Noncore procedure data and the ethical costs of exposing study volunteers to unnecessary risks associated with conducting extraneous procedures.

Developing sophisticated statistical methods for go/no-go decisions is crucial for clinical trials, as planning phase III or phase IV trials is costly and time consuming. In this paper, we develop a novel Bayesian methodology for determining the probability of success of a treatment regimen on the basis of the current data of a given trial. We introduce a new criterion for calculating the probability of success that allows for inclusion of covariates as well as allowing for historical data based on the treatment regimen, and patient characteristics. A new class of prior distributions and covariate distributions is developed to achieve this goal. The methodology is quite general and can be used with univariate or multivariate continuous or discrete data, and it generalizes Chuang-Stein's work. This methodology will be invaluable for informing the scientist on the likelihood of success of the compound, while including the information of covariates for patient characteristics in the trial population for planning future pre-market or post-market trials., (Copyright © 2014 John Wiley & Sons, Ltd.)

Prior to the 1980s, most vaccines were licensed based upon safety and effectiveness studies in several hundred individuals. Beginning with the evaluation of Haemophilus influenzae type b conjugate vaccines, much larger pre-licensure trials became common. The pre-licensure trial for Haemophilus influenzae oligosaccharide conjugate vaccine had more than 60,000 children and that of the seven-valent pneumococcal conjugate vaccine included almost 38,000 children. Although trial sizes for both of these studies were driven by the sample size required to demonstrate efficacy, the sample size requirements for safety evaluations of other vaccines have subsequently increased. With the demonstration of an increased risk of intussusception following the Rotashield brand rotavirus vaccine, this trend has continued. However, routinely requiring safety studies of 20,000-50,000 or more participants has two major downsides. First, the cost of performing large safety trials routinely prior to licensure of a vaccine is very large, with some estimates as high at US$200 million euros for one vaccine. This high financial cost engenders an opportunity cost whereby the number of vaccines that a company is willing or able to develop to meet public health needs becomes limited by this financial barrier. The second downside is that in the pre-licensure setting, such studies are very time consuming and delay the availability of a beneficial vaccine substantially. One might argue that in some situations, this financial commitment is warranted such as for evaluations of the risk of intussusception following newer rotavirus vaccines. However, it must be noted that while an increased risk of intussusception was not identified in large pre-licensure studies, in post marketing evaluations an increased risk of this outcome has been identified. Thus, even the extensive pre-licensure evaluations conducted did not identify an associated risk. The limitations of large Phase III trials have also been demonstrated in efficacy trials. Notably, pre-licensure trials of pneumococcal conjugate severely underestimated their true effect and cost-effectiveness. In fact, in discussions prior to vaccine introduction in the USA for PCV7, the vaccine was said to be not cost-effective and some counseled against its introduction. In reality, following introduction, PCV7 has been shown to be highly cost-effective. In the last decade, new methods have been identified using large linked databases such as the Vaccine Safety Datalink in the USA that allow identification of an increased risk of an event within a few months of vaccine introduction and that can screen for unanticipated very rare events as well. In addition, the availability of electronic medical records and hospital discharge data in many settings allows for accurate assessment of vaccine effectiveness. Given the high financial and opportunity cost of requiring large pre-licensure safety studies, consideration could be given to 'conditional licensure' of vaccines whose delivery system is well characterized in a setting where sophisticated pharmacovigilance systems exist on the condition that such licensure would incorporate a requirement for rapid cycle and other real-time evaluations of safety and effectiveness following introduction. This would actually allow for a more complete and timely evaluation of vaccines, lower the financial barrier to development of new vaccines and thus allow a broader portfolio of vaccines to be developed and successfully introduced.

In phase 3 clinical trials, ethical and financial concerns motivate sequential analyses in which the data are analyzed prior to completion of the entire planned study. Existing group sequential software accounts for the effects of these interim analyses on the sampling density by assuming that the contribution of subsequent increments is independent of the contribution from previous data. This independent increment assumption is satisfied in many common circumstances, including when using the efficient estimator. However, certain circumstances may dictate using an inefficient estimator, and the independent increment assumption may then be violated. Consequences of assuming independent increments in a setting where the assumption does not hold have not been previously explored. One important setting in which independent increments may not hold is the setting of longitudinal clinical trials. This paper considers dependent increments that arise because of heteroscedastic and correlated data in the context of longitudinal clinical trials that use a generalized estimating equation (GEE) approach. Both heteroscedasticity over time and correlation of observations within subjects may lead to departures from the independent increment assumption when using GEE. We characterize situations leading to greater departures in this paper. Despite violations of the independent increment assumption, simulation results suggest that operating characteristics of sequential designs are largely maintained for typically observed patterns of accrual, correlation, and heteroscedasticity even when using analyses that use standard software that depends on an independent increment structure. More extreme scenarios may require greater care to avoid departures from the nominal type I error rate and power., (Copyright © 2014 John Wiley & Sons, Ltd.)

Background: The hepatitis C virus may lead to cirrhosis, liver cancer, liver transplant, and increased mortality. With standard treatment peginterferon-alpha and ribavirin (PR), sustained viral response (SVR) was less than 50 %. SVR rates improve greatly when PR is combined with telaprevir or boceprevir., Objectives: The aim of this study was to assess the cost utility of telaprevir-peginterferon-ribavirin (TPR) versus PR and boceprevir-peginterferon-ribavirin (BPR) in treatment-naïve (TN) and treatment-experienced (TE) adults with chronic hepatitis C in the Netherlands., Methods: A Markov model with a lifelong time horizon and annual cycles was developed. Clinical data stemmed from phase III trials (TPR vs PR, BPR vs PR). A mixed treatment comparison (MTC) was developed to compare TPR and BPR indirectly. Unit costs and utilities based on EQ-5D were established in a Dutch cross-sectional study. Cost per quality-adjusted life-years (QALYs) was calculated according to the societal perspective., Results: Treating TN patients with TPR generates 1.12 additional QALYs with €333 additional cost compared with PR, resulting in an incremental cost-utility ratio of €299/QALY. In TE patients, TPR dominates PR with cost savings (-€7,819) and 1.63 additional QALYs. TPR dominates BPR yielding additional QALYs (0.26 in TN; 0.71 in TE) and cost savings (-€7,296, -€18,144, respectively)., Conclusions: TPR seems a cost-effective alternative to PR in TN patients and dominant in TE patients. TPR was a dominant, more effective and less costly alternative to BPR in both patient types. The cost effectiveness of both TPR and BPR is well below generally accepted willingness-to-pay thresholds and may be considered cost effective.

It is well known that competing demands exist between the control of important covariate imbalance and protection of treatment allocation randomness in confirmative clinical trials. When implementing a response-adaptive randomization algorithm in confirmative clinical trials designed under a frequentist framework, additional competing demands emerge between the shift of the treatment allocation ratio and the preservation of the power. Based on a large multicenter phase III stroke trial, we present a patient randomization scheme that manages these competing demands by applying a newly developed minimal sufficient balancing design for baseline covariates and a cap on the treatment allocation ratio shift in order to protect the allocation randomness and the power. Statistical properties of this randomization plan are studied by computer simulation. Trial operation characteristics, such as patient enrollment rate and primary outcome response delay, are also incorporated into the randomization plan., (Copyright © 2014 John Wiley & Sons, Ltd.)

Background: Discussions regarding disclosure of funding sources and conflicts of interest (COI) in published peer-reviewed journal articles are becoming increasingly more common and intense. The aim of the present study was to examine whether randomized controlled trials (RCTs) published in leading surgery journals report funding sources and COI., Methods: All articles reporting randomized controlled phase III trials published January 2005 through December 2010 were chosen for review from ten international journals. We evaluated the number of disclosed funding sources and COI, and the factors associated with such disclosures., Results: From a review of 657 RCT from the ten journals, we discovered that presence or absence of a funding source and COI was disclosed by 47 % (309) and 25.1 % (165), respectively. Most articles in "International Committee of Medical Journal Editors (ICMJE)-affiliated journals" did not disclose COI. Disclosure of funding was associated with a journal impact factor >3 (51.7 vs 41.6 %; p < 0.01), statistician/epidemiologist involvement (64.2 vs 43.7 %; p < 0.001), publication after 2008 (52.9 vs 41.1 %; p < 0.01), and the journal being ICMJE-affiliated (49.3 vs 40 %; p < 0.05). Conflict of interest disclosure was associated with publication after 2008 (38.7 vs 11.3 %; p < 0.001), and with the journal not being affiliated with ICMJE (36.9 vs 21.3 %; p < 0.001)., Conclusions: Of the published studies we investigated, over half did not disclose funding sources (i.e., whether or not there was a funding source), and almost three quarters did not disclose whether COI existed. Our findings suggest the need to adopt best current practices regarding disclosure of competing interests to fulfill responsibilities to readers and, ultimately, to patients.

Background: Offering patients in oncology trials the opportunity to cross over to active treatment at disease progression is a common strategy to address ethical issues associated with placebo controls but may lead to statistical challenges in the analysis of overall survival and cost-effectiveness because crossover leads to information loss and dilution of comparative clinical efficacy., Objectives: We provide an overview of how to address crossover, implications for risk-effect estimates of survival (hazard ratios) and cost-effectiveness, and how this influences decisions of reimbursement agencies. Two case studies using data from two phase III sunitinib oncology trials are used as illustration., Methods: We reviewed the literature on statistical methods for adjusting for crossover and recent health technology assessment decisions in oncology., Results: We show that for a trial with a high proportion of crossover from the control arm to the investigational arm, the choice of the statistical method greatly affects treatment-effect estimates and cost-effectiveness because the range of relative mortality risk for active treatment versus control is broad. With relatively frequent crossover, one should consider either the inverse probability of censoring weighting or the rank-preserving structural failure time model to minimize potential bias, with choice dependent on crossover characteristics, trial size, and available data. A large proportion of crossover favors the rank-preserving structural failure time model, while large sample size and abundant information about confounding factors favors the inverse probability of censoring weighting model. When crossover is very infrequent, methods yield similar results., Conclusions: Failure to correct for crossover may lead to suboptimal decisions by pricing and reimbursement authorities, thereby limiting an effective drug's potential., (Copyright © 2014 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.)

Background: Clinical trials require great effort, time, expertise, and money. For clinicians at university hospitals with their full work load of teaching and medical care, the planning of an investigator-initiated clinical trial seems almost unthinkable. Despite their expertise in distinct diseases, university clinicians lack the time necessary to organize the funding and to initiate and conduct Phase III clinical trials in adults or in children., Objective: We sought to determine whether the difficulties faced by a clinician conducting a pediatric clinical trial can be overcome by passionate motivation and external support., Methods: Critical aspects of the application process of the world's first clinical trial in children with the rare hereditary kidney disease Alport syndrome treated with an angiotensin-converting enzyme inhibitor (Early Prospective Therapy Trial to Delay Renal Failure in Children With Alport Syndrome [EARLY PRO-TECT Alport]; http://www.clinicaltrials.gov NCT01485978; EudraCT 2010-024300-10) are described., Results: The following crucial factors enabled the investigator to complete this trial: (1) support through clinical trial, biometrician, and regulatory experts (Institute for Applied Research and Clinical Studies [IFS], Göttingen, Germany); (2) advice from the university's ethics committee (University Medicine Göttingen, Göttingen, Germany); (3) public funding (€1 million from the German Federal Ministry of Education and Research); (4) support from the respective medical society, aiming at the resolution of an important clinical problem (German Society of Pediatric Nephrology); and (5) support from the investigator's university as the official sponsor of the trial, providing long-term commitment and covering financial risks (University Medical Center Göttingen, Göttingen, Germany)., Conclusions: The study could pave the way for approval of ramipril as a drug to treat children with Alport syndrome. Even though the study might not result in label changes, the EARLY PRO-TECT Alport trial provides the basis of an educational campaign to sensitize physicians, especially pediatricians, general practitioners, and nephrologists, to pay special attention to the early detection of kidney diseases in children, which could improve medical care for all children with kidney diseases., (Copyright © 2014 Elsevier HS Journals, Inc. All rights reserved.)

Background: The conduct of clinical trials should be an integral part of routine patient care. Treating patients in trials incurs additional costs over and above standard of care (SOC), but the extent of the cost burden is not known. We undertook a retrospective cost attribution analysis to quantitate the treatment costs associated with cancer clinical trial protocols conducted over a 2 year period., Methods: All patients entered into oncology (non-haematology) clinical trials involving investigational medicinal products in 2009 and 2010 in a single UK institution were identified. The trial protocols on which they were treated were analysed to identify the treatment costs for the experimental arm(s) of the trial and the equivalent SOC had the patient not been entered in the trial. The treatment cost difference was calculated by subtracting the experimental treatment cost from SOC cost. For randomised trials, an average treatment cost was estimated by taking into account the number of arms and randomisation ratio. An estimate of the annual treatment costs was calculated., Results: A total of 357 adult oncology patients were treated on 53 different trial protocols: 40 phase III, 2 randomised II/III and 11 phase II design. A total of 27 trials were academic, non-commercial sponsored trials and 26 were commercial sponsored trials. When compared with SOC, the average treatment cost per patient was an excess of £431 for a non-commercial trial (range £6393 excess to £6005 saving) and a saving of £9294 for a commercial trial (range £0 to £71,480). There was an overall treatment cost saving of £388,719 in 2009 and £496,556 in 2010, largely attributable to pharmaceutical company provision of free drug supplies., Conclusion: On an average, non-commercial trial protocols were associated with a small per patient excess treatment cost, whereas commercial trials were associated with a substantially higher cost saving. Taking into account the total number of patients recruited annually, treatment of patients on clinical trial protocols was associated with considerable cost savings across both the non-commercial and commercial portfolio.

We describe a value-driven approach to optimizing pharmaceutical portfolios. Our approach incorporates inputs from research and development and commercial functions by simultaneously addressing internal and external factors. This approach differentiates itself from current practices in that it recognizes the impact of study design parameters, sample size in particular, on the portfolio value. We develop an integer programming (IP) model as the basis for Bayesian decision analysis to optimize phase 3 development portfolios using expected net present value as the criterion. We show how this framework can be used to determine optimal sample sizes and trial schedules to maximize the value of a portfolio under budget constraints. We then illustrate the remarkable flexibility of the IP model to answer a variety of 'what-if' questions that reflect situations that arise in practice. We extend the IP model to a stochastic IP model to incorporate uncertainty in the availability of drugs from earlier development phases for phase 3 development in the future. We show how to use stochastic IP to re-optimize the portfolio development strategy over time as new information accumulates and budget changes occur., (Copyright © 2013 John Wiley & Sons, Ltd.)

Background: Cost-effectiveness/cost-utility analyses are increasingly needed to inform decisions about care. Algorithms have been developed using the Functional Assessment of Cancer Therapy (FACT) quality of life instrument to estimate utility weights for cost analyses. This study was designed to compare these algorithms in the setting of ovarian cancer., Methods: GOG-0152 was a 550-patient randomized phase III trial of interval cytoreduction, and GOG-0172 was a 415-patient randomized phase III trial comparing intravenous versus intraperitoneal therapy among women with advanced ovarian cancer. QOL data were collected via the FACT at four time points in each study. Two published mapping algorithms (Cheung and Dobrez) and a linear transformation method were applied to these data. The agreement between measures was assessed by the concordance correlation coefficient (r(CCC)), and paired t-tests were used to compare means., Results: While agreement between the estimation algorithms was good (ranged from 0.72 to 0.81), there were statistically significant (p<0.001) and clinically meaningful differences between the scores: mean scores were higher with Dobrez than with Cheung or the linear transformation method. Scores were also statistically significantly different (p<0.001) between studies., Conclusions: In the absence of prospectively collected utility data, the use of mapping algorithms is feasible, however, the optimal algorithm is not clear. There were significant differences between studies, which highlight the need for validation of these algorithms in specific settings. If cost analyses incorporate mapping algorithms to obtain utility estimates, investigators should take the variability into account., (Copyright © 2012 Elsevier Inc. All rights reserved.)

A recent phase III trial demonstrated that maintenance rituximab® therapy after response to first-line treatment with rituximab plus chemotherapy (R-chemo) increases progression-free survival (PFS) for follicular non-Hodgkin lymphoma (f-NHL). A cost-effectiveness analysis of R-maintenance versus observation was conducted from a US payer perspective to estimate PFS and overall survival (OS) over a representative patient's lifetime. Primary outcomes were cost per life-year gained (LYG) and cost per quality-adjusted life-year (QALY) gained. Compared with observation, R-maintenance increased mean PFS by 1.50 years, OS by 1.21 years and QALYs gained by 1.11 years. The incremental cost of maintenance therapy was $38,545. The costs per LYG and QALY gained were $31,934 and $34,842, respectively. Within the limitations of modeling long-term outcomes, R-maintenance therapy in patients who received R-chemo for previously untreated f-NHL compared with observation alone after R-chemo for first-line treatment for f-NHL is cost-effective from the US payer perspective.

Purpose: To determine the cost-effectiveness of fulvestrant 250 mg compared to 500 mg in postmenopausal women with estrogen receptor-positive metastatic breast cancer and disease progression after antiestrogen therapy., Methods: A Markov model was constructed to find the incremental cost-effectiveness of fulvestrant 250 mg monthly when compared with the 500 mg monthly in patients with progression after antiestrogen therapy. The model duration was 24 months. Clinical efficacy data inputs were derived from a phase III clinical trial demonstrating a statistically significant increase in progression-free survival in patients receiving 500 mg versus 250 mg. Cost data utilized were all relevant Ambulatory Payment Classification payment rates from the 2011 Medicare Outpatient Prospective Payment System. A Monte Carlo simulation was performed to test the model at various willingness to pay thresholds., Results: The incremental cost-effectiveness ratio as determined by the Markov model was US$10,972 per month of progression-free survival for the 500 mg dose compared with the 250 mg dose. Using a Monte Carlo simulation, it was found that 500 mg monthly was cost-effective at and above the willingness to pay threshold of US$15,000 per month. A series of one-way sensitivity analyses showed this result is robust to geographical practice variations in costs of drug administration and physician examination., Conclusion: From a third party payer perspective, the value of fulvestrant 500 mg monthly is dependent on the willingness to pay threshold. Despite a labeling change for fulvestrant in September 2010, fulvestrant 250 mg monthly appears to be a viable option in the target population.

Despite the inclusion of investigator-industry pecuniary and non-pecuniary associations in published clinical trials, the benefit of such disclosures may be limited. Two recent pivotal phase III drug studies that raised conflict of interest issues are discussed. It is recommended that in the future, a firewall should be erected between industry and investigators., (© 2012 The Author; Internal Medicine Journal © 2012 Royal Australasian College of Physicians.)

In a phase III multi-center cancer clinical trial or a large public health study, sample size is predetermined to achieve desired power, and study participants are enrolled from tens or hundreds of participating institutions. As the accrual is closing to the target size, the coordinating data center needs to project the accrual closure date on the basis of the observed accrual pattern and notify the participating sites several weeks in advance. In the past, projections were simply based on some crude assessment, and conservative measures were incorporated in order to achieve the target accrual size. This approach often resulted in excessive accrual size and subsequently unnecessary financial burden on the study sponsors. Here we proposed a discrete-time Poisson process-based method to estimate the accrual rate at time of projection and subsequently the trial closure date. To ensure that target size would be reached with high confidence, we also proposed a conservative method for the closure date projection. The proposed method was illustrated through the analysis of the accrual data of the National Surgical Adjuvant Breast and Bowel Project trial B-38. The results showed that application of the proposed method could help to save considerable amount of expenditure in patient management without compromising the accrual goal in multi-center clinical trials., (Copyright © 2012 John Wiley & Sons, Ltd.)

Purpose: The National Cancer Institute-funded cooperative oncology group trials have improved overall survival for children with cancer from 10% to 85% and have set standards of care for adults with malignancies. Despite these successes, cooperative oncology groups currently face substantial challenges. We are working to develop methods to improve the efficiency and effectiveness of these trials. Specifically, we merged data from the Children's Oncology Group (COG) and the Pediatric Health Information Systems (PHIS) to improve toxicity monitoring, to estimate treatment-associated resource utilization and costs, and to address important clinical epidemiology questions., Methods: COG and PHIS data on patients enrolled on a phase III COG trial for de novo acute myeloid leukemia at 43 PHIS hospitals were merged using a probabilistic algorithm. Resource utilization summary statistics were then tabulated for the first chemotherapy course based on PHIS data., Results: Of 416 patients enrolled on the phase III COG trial at PHIS centers, 392 (94%) were successfully matched. Of these, 378 (96%) had inpatient PHIS data available beginning at the date of study enrollment. For these, daily blood product usage and anti-infective exposures were tabulated and standardized costs were described., Conclusions: These data demonstrate that patients enrolled in a cooperative group oncology trial can be successfully identified in an administrative data set and that supportive care resource utilization can be described. Further work is required to optimize the merging algorithm, map resource utilization metrics to the National Cancer Institute Common Toxicity Criteria for monitoring toxicity, to perform comparative effectiveness studies, and to estimate the costs associated with protocol therapy., (Copyright © 2012 John Wiley & Sons, Ltd.)