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Introduction The COVID-19 pandemic caused by SARS-CoV-2 threatens global public health, and there is an urgent public health need to assess acquired immunity to SARS-CoV-2. Serological tests might provide results that can be complementary to or confirm suspected COVID-19 cases and reveal previous infection. The performance of serological assays (sensitivity and specificity) has to be evaluated before their use in the general population. The neutralisation capacity of the produced antibodies also has to be evaluated.Methods and analysis We set up a prospective, multicentric clinical study to evaluate the performance of serological kits among a population of healthcare workers presenting mild symptoms suggestive of SARS-CoV-2 infection. Four hundred symptomatic healthcare workers will be included in the COVID-SER study. The values obtained from a control cohort included during the prepandemic time will be used as reference. A workflow was set up to study serological response to SARS-CoV-2 infection and to evaluate antibody neutralisation capacity in patients with a confirmed SARS-CoV-2 infection. The sensitivity and specificity of the tests will be assessed using molecular detection of the virus as a reference. The measurement of IgM and IgG antibodies will be performed once per week for 6 consecutive weeks and then at 6, 12, 18, 24 and 36 months after the diagnosis. The kinetics of IgM and IgG will determine the optimal period to perform serological testing. The proportion of false negative PCR tests in symptomatic subjects will be determined on the basis of subsequent seroconversions.Ethics and dissemination Ethical approval has been obtained from the national review board for biomedical research in April 2020 (Comité de Protection des Personnes Sud Méditerranée I, Marseille, France) (ID RCB 2020-A00932-37). Results will be disseminated through presentations at scientific meetings and publications in peer-reviewed journals.Trial registration number NCT04341142.

Objective: To assess whether the relative and absolute benefit of hypertension treatment in women varies with age or race.Design: Systematic review of studies from 1966 to 1998 using MEDLINE, reviews, and consultation with experts. Eleven randomized controlled trials of pharmacologic treatment of prJgiary hypertension with cardiovascular morbidity and mortality outcomes were selected, with a pooled population of 23,000 women. Relative risks were combined for each end point to form a summary risk ratio using meta-analytic techniques based on a random-effects model. Summary risk ratios were converted to numbers needed to treat (NNTs). Data were dichotomized by age to approxJgiate menopausal status (30 to 54 years, and 55 years and older), and by race (white and African American).Main Results: In women aged 55 years or older (90% white), hypertension treatment resulted in a 38% risk reduction in fatal and nonfatal cerebrovascular events (95% confidence interval [CI] 27%, 47%; 5-year NNT 78), a 25% reduction in fatal and nonfatal cardiovascular events (95% CI 17%, 33%; 5-year NNT 58), and a 17% reduction in cardiovascular mortality (95% CI 3%, 29%; 5-year NNT 282). In women aged 30 to 54 years (79% white), hypertension treatment resulted in a 41% risk reduction in fatal and nonfatal cerebrovascular events (95% CI 8%, 63%; 5-year NNT 264), and a 27% risk reduction in fatal and nonfatal cardiovascular events (95% CI 4%, 44%; 5-year NNT 259). Hypertension treatment in African-American women (mean age, 52 years) reduced the risk of fatal and nonfatal cerebrovascular events by 53% (95% CI 29%, 69%; 5-year NNT 39), fatal and nonfatal cardiovascular events by 45% (95% CI 18%, 63%; 5-year NNT 21), fatal and nonfatal coronary events by 33% (95% CI 6%, 52%; 5-year NNT 48), and all-cause mortality by 34% (95% CI 14%, 49%; 5-year NNT 32). Analyses in white women aged 30 to 54 years did not show any statistically significant treatment benefit or harm.Conclusions: Hypertension treatment lowers the relative and absolute risk of cardiovascular morbidity and mortality in women aged 55 years and older and in African-American women of all ages. A greater effort should be made to increase awareness and treatment in these groups of women. Although relative risk reductions for cerebrovascular and cardiovascular events are sJgiilar for younger and older women, the NNT of younger women is at least 4 tJgies higher. Decisions about treatment of hypertension in younger white women should be influenced by the individual patient's absolute risk of cardiovascular disease. [ABSTRACT FROM AUTHOR]

Abstract Background Using reduced doses of Cyclosporine A immediately after heart transplantation in clinical trials may suggest benefits for renal function by reducing serum creatinine levels without a significant change in clinical endpoints. However, these trials were not sufficiently powered to prove clinical outcomes. Methods In a prospective, multicentre, open-label, parallel-group controlled trial, 95 patients aged 18 to 65 years old, undergoing de novo heart transplantation were centrally randomised to receive either a low (130 Results At 12 months, the mean (± SD) creatinine value was 120.7 μmol/L (± 35.8) in the low-dose group and 132.3 μmol/L (± 49.1) in the standard-dose group (P = 0.162). Post hoc analyses suggested that patients with higher creatinine levels at baseline benefited significantly from the lower Cyclosporine A target. The number of patients with at least one rejection episode was not significantly different but one patient in the low-dose group and six in the standard-dose group required dialysis. Conclusions In patients with de novo cardiac transplantation, early Cyclosporine A dose reduction was not associated with renal benefit at 12 months. However, the strategy may benefit patients with high creatinine levels before transplantation. Trial registration ClinicalTrials.gov NCT00159159

Abstract Background An Individual Patient Data (IPD) meta-analysis is often considered the gold-standard for synthesising survival data from clinical trials. An IPD meta-analysis can be achieved by either a two-stage or a one-stage approach, depending on whether the trials are analysed separately or simultaneously. A range of one-stage hierarchical Cox models have been previously proposed, but these are known to be computationally intensive and are not currently available in all standard statistical software. We describe an alternative approach using Poisson based Generalised Linear Models (GLMs). Methods We illustrate, through application and simulation, the Poisson approach both classically and in a Bayesian framework, in two-stage and one-stage approaches. We outline the benefits of our one-stage approach through extension to modelling treatment-covariate interactions and non-proportional hazards. Ten trials of hypertension treatment, with all-cause death the outcome of interest, are used to apply and assess the approach. Results We show that the Poisson approach obtains almost identical estimates to the Cox model, is additionally computationally efficient and directly estimates the baseline hazard. Some downward bias is observed in classical estimates of the heterogeneity in the treatment effect, with improved performance from the Bayesian approach. Conclusion Our approach provides a highly flexible and computationally efficient framework, available in all standard statistical software, to the investigation of not only heterogeneity, but the presence of non-proportional hazards and treatment effect modifiers.

Abstract Background A recent survey has shown that data management in clinical trials performed by academic trial units still faces many difficulties (e.g. heterogeneity of software products, deficits in quality management, limited human and financial resources and the complexity of running a local computer centre). Unfortunately, no specific, practical and open standard for both GCP-compliant data management and the underlying IT-infrastructure is available to improve the situation. For that reason the "Working Group on Data Centres" of the European Clinical Research Infrastructures Network (ECRIN) has developed a standard specifying the requirements for high quality GCP-compliant data management in multinational clinical trials. Methods International, European and national regulations and guidelines relevant to GCP, data security and IT infrastructures, as well as ECRIN documents produced previously, were evaluated to provide a starting point for the development of standard requirements. The requirements were produced by expert consensus of the ECRIN Working group on Data Centres, using a structured and standardised process. The requirements were divided into two main parts: an IT part covering standards for the underlying IT infrastructure and computer systems in general, and a Data Management (DM) part covering requirements for data management applications in clinical trials. Results The standard developed includes 115 IT requirements, split into 15 separate sections, 107 DM requirements (in 12 sections) and 13 other requirements (2 sections). Sections IT01 to IT05 deal with the basic IT infrastructure while IT06 and IT07 cover validation and local software development. IT08 to IT015 concern the aspects of IT systems that directly support clinical trial management. Sections DM01 to DM03 cover the implementation of a specific clinical data management application, i.e. for a specific trial, whilst DM04 to DM12 address the data management of trials across the unit. Section IN01 is dedicated to international aspects and ST01 to the competence of a trials unit's staff. Conclusions The standard is intended to provide an open and widely used set of requirements for GCP-compliant data management, particularly in academic trial units. It is the intention that ECRIN will use these requirements as the basis for the certification of ECRIN data centres.

Abstract Background The use of Clinical Data Management Systems (CDMS) has become essential in clinical trials to handle the increasing amount of data that must be collected and analyzed. With a CDMS trial data are captured at investigator sites with "electronic Case Report Forms". Although more and more of these electronic data management systems are used in academic research centres an overview of CDMS products and of available data management and quality management resources for academic clinical trials in Europe is missing. Methods The ECRIN (European Clinical Research Infrastructure Network) data management working group conducted a two-part standardized survey on data management, software tools, and quality management for clinical trials. The questionnaires were answered by nearly 80 centres/units (with an overall response rate of 47% and 43%) from 12 European countries and EORTC. Results Our survey shows that about 90% of centres have a CDMS in routine use. Of these CDMS nearly 50% are commercial systems; Open Source solutions don't play a major role. In general, solutions used for clinical data management are very heterogeneous: 20 different commercial CDMS products (7 Open Source solutions) in addition to 17/18 proprietary systems are in use. The most widely employed CDMS products are MACRO™ and Capture System™, followed by solutions that are used in at least 3 centres: eResearch Network™, CleanWeb™, GCP Base™ and SAS™. Although quality management systems for data management are in place in most centres/units, there exist some deficits in the area of system validation. Conclusions Because the considerable heterogeneity of data management software solutions may be a hindrance to cooperation based on trial data exchange, standards like CDISC (Clinical Data Interchange Standard Consortium) should be implemented more widely. In a heterogeneous environment the use of data standards can simplify data exchange, increase the quality of data and prepare centres for new developments (e.g. the use of EHR for clinical research). Because data management and the use of electronic data capture systems in clinical trials are characterized by the impact of regulations and guidelines, ethical concerns are discussed. In this context quality management becomes an important part of compliant data management. To address these issues ECRIN will establish certified data centres to support electronic data management and associated compliance needs of clinical trial centres in Europe.

Background: The use of Clinical Data Management Systems (CDMS) has become essential in clinical trials to handle the increasing amount of data that must be collected and analyzed. With a CDMS trial data are captured at investigator sites with "electronic Case Report Forms". Although more and more of these electronic data management systems are used in academic research centres an overview of CDMS products and of available data management and quality management resources for academic clinical trials in Europe is missing.Methods: The ECRIN (European Clinical Research Infrastructure Network) data management working group conducted a two-part standardized survey on data management, software tools, and quality management for clinical trials. The questionnaires were answered by nearly 80 centres/units (with an overall response rate of 47% and 43%) from 12 European countries and EORTC.Results: Our survey shows that about 90% of centres have a CDMS in routine use. Of these CDMS nearly 50% are commercial systems; Open Source solutions don't play a major role. In general, solutions used for clinical data management are very heterogeneous: 20 different commercial CDMS products (7 Open Source solutions) in addition to 17/18 proprietary systems are in use. The most widely employed CDMS products are MACRO and Capture System, followed by solutions that are used in at least 3 centres: eResearch Network, CleanWeb, GCP Base and SAS. Although quality management systems for data management are in place in most centres/units, there exist some deficits in the area of system validation.Conclusions: Because the considerable heterogeneity of data management software solutions may be a hindrance to cooperation based on trial data exchange, standards like CDISC (Clinical Data Interchange Standard Consortium) should be implemented more widely. In a heterogeneous environment the use of data standards can simplify data exchange, increase the quality of data and prepare centres for new developments (e.g. the use of EHR for clinical research). Because data management and the use of electronic data capture systems in clinical trials are characterized by the impact of regulations and guidelines, ethical concerns are discussed. In this context quality management becomes an important part of compliant data management. To address these issues ECRIN will establish certified data centres to support electronic data management and associated compliance needs of clinical trial centres in Europe. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To review the effectiveness of diuretic or beta-blocker-based treatment of hypertension in diabetic patients. RESEARCH DESIGN AND METHODS: A meta-analysis on individual patient data was performed on four trials of the treatment of hxpertension in which diabetic patients were included and treated with first-line diuretics or beta-blockers. The main outcomes were the relative risk of death, fatal or nonfatal stroke, fatal or nonfatal coronary events, and major cardiovascular events. RESULTS: There were 92 diabetic patients who received first-line beta-blockers and 1,008 who received diuretics. In the control groups, diabetic patients had nearly twice the risk of any outcome when compared with nondiabetic patients. The same blood pressure reduction was achieved under treatment in the diabetic and nondiabetic patients, except for systolic pressure, which decreased more in the nondiabetic patients at 1 year. In the 15,843 nondiabetic patients, the risk of all four outcomes was reduced significantly in the treated group. In the 2,254 diabetic patients, the risk reduction was significant only for fatal and nonfatal stroke (36%, P = 0.011) and major cardiovascular events (20%, P = 0.032), but not for death (5%, P = 0.65) and fatal or nonfatal coronary events (15%, P = 0.23). However, no heterogeneity was detected between diabetic patients and nondiabetic patients for any outcome. The numbers of outcomes avoided for 1,000 patients treated for 5 years were higher in diabetic patients (e.g., 38 major cardiovascular events) than with nondiabetic patients (e.g., 28 major cardiovascular events). CONCLUSIONS: These results show that hypertensive diabetic patients benefit from first-line treatment with diuretics. No conclusion can be drawn for beta-blockers, owing to the small sample size. [ABSTRACT FROM AUTHOR]

Oligodendrocytes are critical for CNS myelin formation and are involved in preterm-birth brain injury (PBI) and multiple sclerosis (MS), both of which lack effective treatments. We present a pharmacogenomic approach that identifies compounds with potent pro-oligodendrogenic activity, selected through a scoring strategy (OligoScore) based on their modulation of oligodendrogenic and (re)myelination-related transcriptional programs. Through in vitro neural and oligodendrocyte progenitor cell (OPC) cultures, ex vivo cerebellar explants, and in vivo mouse models of PBI and MS, we identify FDA-approved leucovorin and dyclonine as promising candidates. In a neonatal chronic hypoxia mouse model mimicking PBI, both compounds promote neural progenitor cell proliferation and oligodendroglial fate acquisition, with leucovorin further enhancing differentiation. In an adult MS model of focal de/remyelination, they improve lesion repair by promoting OPC differentiation while preserving the OPC pool. Additionally, they shift microglia from a pro-inflammatory to a pro-regenerative profile and enhance myelin debris clearance. These findings support the repurposing of leucovorin and dyclonine for clinical trials targeting myelin disorders, offering potential therapeutic avenues for PBI and MS., Competing Interests: Competing interests Jean-Baptiste Hure, Carlos Parras, Olivier Raineateau, and Louis Foucault are inventors in the patent entitled ‘Organic molecules for 1312 treating myelin pathologies’, published on September 28th, 2023 (WO2023180474) that is based on most of the data published in this study. Patent applicants: ICM - Paris Brain Institute, INSERM, CNRS, AAPHP, Sorbonne Université, Université Claude Bernard Lyon 1. The other authors declare no competing interests., (© 2024. The Author(s).)

Background: Based on preclinical studies showing that IDH-mutant (IDHm) gliomas could be vulnerable to PARP inhibition we launched a multicenter phase 2 study to test the efficacy of olaparib monotherapy in this population., Methods: Adults with recurrent IDHm high-grade gliomas (HGGs) after radiotherapy and at least one line of alkylating chemotherapy were enrolled. The primary endpoint was a 6-month progression-free survival rate (PFS-6) according to response assessment in neuro-oncology criteria. Pre-defined threshold for study success was a PFS-6 of at least 50%., Results: Thirty-five patients with recurrent IDHm HGGs were enrolled, 77% at ≥ 2nd recurrence. Median time since diagnosis and radiotherapy were 7.5 years and 33 months, respectively. PFS-6 was 31.4% (95% CI [16.9; 49.3%]). Two patients (6%) had an objective response and 14 patients (40%) had a stable disease as their best response. Median PFS and median overall survival were 2.05 and 15.9 months, respectively. Oligodendrogliomas (1p/19q codeleted) had a higher PFS-6 (53.4% vs. 15.7%, P  = .05) than astrocytomas while an initial diagnosis of grade 4 astrocytoma tended to be associated with a lower PFS-6 compared to grade 2/3 gliomas (0% vs 31.4%, P  = .16). A grade 2 or 3 treatment-related adverse event was observed in 15 patients (43%) and 5 patients (14%), respectively. No patient definitively discontinued treatment due to side effects., Conclusions: Although it did not meet its primary endpoint, the present study shows that in this heavily pretreated population, olaparib monotherapy was well tolerated and resulted in some activity, supporting further PARP inhibitors evaluation in IDHm HGGs, especially in oligodendrogliomas., Competing Interests: I.E.: none. M.S.: none. O.C.: none. M.F.: research purposes from Servier company, benefits for interventions from Seagen and Novocure, and payment of congress fees from Gilead and Pfizer. R.R.: Advisory board (Daiichi Sankyo, Lilly), travel grants (Amgen, Astra Zeneca, Bayer HealthCare SAS, Daiichi Sankyo, Lilly, MSD France, Novartis Pharma SAS, Pfizer, Roche). S.C.: MSD (travel grant). E.T.: Gliocure, Leo Pharma (advisory board), Leo Pharma (research grant), Novocure, Servier (symposium. A.B-L.: none. A. D.: Servier, Novocure (advisory board), Servier (travel grants). D.M.: none. M.B.: none. F.G.: none. L.R.: none. D.M-B.: none. J.H.: Novocure (travel grants, advisory board). C.D.: none. F.D.: Servier, Novocure (advisory board, symposium)., (© The Author(s) 2024. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

Background: One key aspect of personalized medicine is to identify individuals who benefit from an intervention. Some approaches have been developed to estimate individualized treatment effects (ITE) with a single randomized control trial (RCT) or observational data, but they are often underpowered for the ITE estimation. Using individual participant data meta-analyses (IPD-MA) might solve this problem. Few studies have investigated how to develop risk prediction models with IPD-MA, and it remains unclear how to combine those methods with approaches used for ITE estimation. In this article, we compared different approaches using both simulated and real data with binary and time-to-event outcomes to estimate the individualized treatment effects from an IPD-MA in a one-stage approach., Methods: We compared five one-stage models: naive model (NA), random intercept (RI), stratified intercept (SI), rank-1 (R1), and fully stratified (FS), built with two different strategies, the S-learner and the T-learner constructed with a Monte Carlo simulation study in which we explored different scenarios with a binary or a time-to-event outcome. To evaluate the performance of the models, we used the c-statistic for benefit, the calibration of predictions, and the mean squared error. The different models were also used on the INDANA IPD-MA, comparing an anti-hypertensive treatment to no treatment or placebo ( N = 40 237 , 836 events)., Results: Simulation results showed that using the S-learner led to better ITE estimation performances for both binary and time-to-event outcomes. None of the risk models stand out and had significantly better results. For the INDANA dataset with a binary outcome, the naive and the random intercept models had the best performances., Conclusions: For the choice of the strategy, using interactions with treatment (the S-learner) is preferable. For the choice of the method, no approach is better than the other., (© 2024. The Author(s).)

Type 2 diabetes and its associated cardiovascular risk is an escalating epidemic that represents a significant public health burden due to increased morbidity and mortality, disproportionately affecting disadvantaged communities. Poor glycaemic control exacerbates this burden by increasing retinal, renal, and cardiac damage and raising healthcare costs. This predicament underscores the urgent need for research into cost-effective approaches to preventing diabetes complications. An important but often overlooked strategy to improve metabolic control in diabetic patients is the treatment of periodontitis. Our aim is to assess whether the inclusion of periodontitis treatment in diabetes management strategies can effectively improve metabolic control, and to advocate for its inclusion from an equity perspective. We conducted a comprehensive review of the literature from 2000 to 2023. We analyzed the pathophysiological links between periodontitis, diabetes, and atherosclerotic cardiovascular disease, all of which have inflammation as a central component. We also examined the inequalities in health care spending in this context. Our findings suggest that incorporating routine screening and treatment of periodontitis into national health programs, with coordinated efforts between physicians and dentists, is a cost-effective measure to improve metabolic control, reduce complications and improve the overall quality of life of people with diabetes., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Serón, Olivero, Flores, Cruzat, Ahumada, Gueyffier and Marchant.)

Purpose: To identify and quantify the barriers and facilitators to the use of clinical decision support systems (CDSSs) by primary care professionals (PCPs)., Methods: A mixed-methods systematic review was conducted using a sequential synthesis design. PubMed/MEDLINE, PsycInfo, Embase, CINAHL, and the Cochrane library were searched in July 2021. Studies that evaluated CDSSs providing recommendations to PCPs and intended for use during a consultation were included. We excluded CDSSs used only by patients, described as concepts or prototypes, used with simulated cases, and decision supports not considered as CDSSs. A framework synthesis was performed according to the HOT-fit framework (Human, Organizational, Technology, Net Benefits), then a quantitative synthesis evaluated the impact of the HOT-fit categories on CDSS use., Results: A total of 48 studies evaluating 45 CDSSs were included, and 186 main barriers or facilitators were identified. Qualitatively, barriers and facilitators were classified as human (eg, perceived usefulness), organizational (eg, disruption of usual workflow), and technological (eg, CDSS user-friendliness), with explanatory elements. The greatest barrier to using CDSSs was an increased workload. Quantitatively, the human and organizational factors had negative impacts on CDSS use, whereas the technological factor had a neutral impact and the net benefits dimension a positive impact., Conclusions: Our findings emphasize the need for CDSS developers to better address human and organizational issues, in addition to technological challenges. We inferred core CDSS features covering these 3 factors, expected to improve their usability in primary care., (© 2023 Annals of Family Medicine, Inc.)

Aims/hypothesis: Cardiovascular outcome trials (CVOTs) have demonstrated the benefits of sodium-glucose cotransporter 2 inhibitors (SGLT2i). However, serious adverse drug reactions have been reported. The risk/benefit ratio of SGLT2i remains unquantified. We aimed to provide an estimation of their risk/benefit ratio in individuals with type 2 diabetes., Methods: We conducted a systematic review (MEDLINE, up to 14 September 2021) and meta-analysis. We included randomised CVOTs assessing SGLT2i in individuals with type 2 diabetes with or without other diseases. We used the Cochrane 'Risk of bias' assessment tool. The primary outcomes were overall mortality, major adverse cardiovascular events (MACE), hospitalisation for heart failure (HHF), end-stage renal disease (ESRD), amputation, diabetic ketoacidosis (DKA) and reported genital infections. For each outcome, we estimated the incidence rate ratio (IRR) with a 95% CI; we then computed the number of events expected spontaneously and with SGLT2i., Results: A total of 46,969 participants from five double-blind, placebo-controlled international trials (weighted mean follow-up 3.5 years) were included. The prevalence of previous CVD ranged from 40.6% to 99.2%. The definition of reported genital infections ranged from 'genital mycotic infection' to 'genital infections that led to discontinuation of the trial regimen or were considered to be serious adverse events'. The number of included studies for each outcomes was five. The use of SGLT2i decreased the risk of all-cause death (IRR 0.86 [95% CI 0.78, 0.95]), MACE (IRR 0.91 [95% CI 0.86, 0.96]), HHF (IRR 0.69 [95% CI 0.62, 0.76]) and ESRD (IRR 0.67 [95% CI 0.53, 0.84]), and increased the risk of DKA (IRR 2.59 [95% CI 1.57, 4.27]) and genital infection (IRR 3.50 [95% CI 3.09, 3.95]) but not of amputation (IRR 1.23 [95% CI 1.00, 1.51]). For 1000 individuals treated over 3.5 years, SGLT2i are expected, on average, to decrease the number of deaths from 70 to 61, to prevent nine MACE, 11 HHF and two cases of ESRD, while inducing two DKA occurrences and 36 genital infections; 778 individuals are expected to avoid all the following outcomes: MACE, HHF, ESRD, amputation, DKA and genital infection., Conclusions/interpretation: Our study is limited to aggregate data. In a population of individuals with type 2 diabetes and a high CVD risk, the cardiovascular and renal benefits of SGLT2i remain substantial despite the risk of DKA and even the hypothetical risk of amputation., Trial Registration: OSF Registries: https://doi.org/10.17605/OSF.IO/J3R7Y FUNDING: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The major economic and health consequences of COVID-19 called for various protective measures and mass vaccination campaigns. A previsional model was used to predict the future impacts of various measure combinations on COVID-19 mortality over a 400-day period in France. Calibrated on previous national hospitalization and mortality data, an agent-based epidemiological model was used to predict individual and combined effects of booster doses, vaccination of refractory adults, and vaccination of children, according to infection severity, immunity waning, and graded non-pharmaceutical interventions (NPIs). Assuming a 1.5 hospitalization hazard ratio and rapid immunity waning, booster doses would reduce COVID-19-related deaths by 50-70% with intensive NPIs and 93% with moderate NPIs. Vaccination of initially-refractory adults or children ≥5 years would half the number of deaths whatever the infection severity or degree of immunity waning. Assuming a 1.5 hospitalization hazard ratio, rapid immunity waning, moderate NPIs and booster doses, vaccinating children ≥12 years, ≥5 years, and ≥6 months would result in 6212, 3084, and 3018 deaths, respectively (vs. 87,552, 64,002, and 48,954 deaths without booster, respectively). In the same conditions, deaths would be 2696 if all adults and children ≥12 years were vaccinated and 2606 if all adults and children ≥6 months were vaccinated (vs. 11,404 and 3624 without booster, respectively). The model dealt successfully with single measures or complex combinations. It can help choosing them according to future epidemic features, vaccination extensions, and population immune status.

Objective: To compare and rank the effect of glucocorticoid-sparing agents in giant cell arteritis (GCA), for which several drugs have been evaluated but with a benefit-risk balance that remains uncertain., Methods: The MEDLINE and Clinical Trials databases were searched up to November 2021; all randomized controlled trials investigating glucocorticoids in GCA were included. The glucocorticoid regimen was dichotomized into short (≤6 months) or prolonged (>6 months) use. Risk of relapse and safety were estimated using network meta-analysis with frequentist random effects models., Results: Of the 96 records screened, 8 trials were included (572 patients). The trials compared glucocorticoids and a sparing agent: tocilizumab (2 trials), oral methotrexate (3 trials), infliximab (1 trial), etanercept (1 trial), and adalimumab (1 trial). The pooled prevalence of GCA relapse was 52.6% (95% CI, 38.1 to 66.9). The risk of relapse was significantly lower with tocilizumab compared with methotrexate (relative risk [RR], 0.41; 95% CI, 0.17 to 0.97) and prolonged (RR, 0.41; 95% CI, 0.20 to 0.83) and short (RR, 0.32; 95% CI, 0.16 to 0.66) glucocorticoid use. The risk of relapse was not significantly different with methotrexate compared with short (RR, 0.79; 95% CI, 0.48 to 1.31) and prolonged (RR, 0.95; 95% CI, 0.31 to 2.89) glucocorticoid use. The frequency of serious adverse events and serious infection was comparable between the different drugs. The certainty of the evidence was low to very low., Conclusion: This meta-analysis suggests that tocilizumab may be superior to other sparing agents to prevent GCA relapse, but with a low to very low certainty of evidence, and that safety is comparable to the other drugs., Registration: The protocol of the meta-analysis is registered in the international prospective register of systematic reviews PROSPERO (https://www.crd.york.ac.uk/prospero/; registration CRD42020112387)., (Copyright © 2022 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Aim: The placebo effect and the specific effect are often thought to add up (additive model). Whether additivity holds can dramatically influence the external validity of a trial. This assumption of additivity was tested by Kleijnen et al in 1994 but the data produced since then have not been synthetized. In this review, we aimed to systematically review the literature to determine whether additivity held., Methods: We searched Medline and PsychInfo up to 10 January 2019. Studies using the balanced placebo design (BPD), testing two different strengths of placebos, were included. The presence of interaction was evaluated by comparing each group in the BPD with analysis of variance or covariance., Results: Thirty studies were included and the overall risk of bias was high: four found evidence of additivity and 16 studies found evidence of interaction (seven had evidence of positive additivity)., Conclusion: Evidence of additivity between placebo and specific features of treatments was rare in included studies. We suggest interventions for placebo-sensitive ailments should be tested in trials designed to take interactions seriously once an exploratory RCTs has proven their efficacy with sufficient internal validity., (© 2022 British Pharmacological Society.)

Background: Some cancers such as sarcomas (bone and soft tissue sarcomas) and adenoid cystic carcinomas are considered as radioresistant to low linear energy transfer radiation (including photons and protons) and may therefore beneficiate from a carbon ion therapy. Despite encouraging results obtained in phase I/II trials compared to historical data with photons, the spread of carbon ions has been limited mainly because of the absence of randomized medical data. The French health authorities stressed the importance of having randomized data for carbon ion therapy., Methods: The ETOILE study is a multicenter prospective randomized phase III trial comparing carbon ion therapy to either advanced photon or proton radiotherapy for inoperable or macroscopically incompletely resected (R2) radioresistant cancers including sarcomas and adenoid cystic carcinomas. In the experimental arm, carbon ion therapy will be performed at the National Center for Oncological Hadrontherapy (CNAO) in Pavia, Italy. In the control arm, photon or proton radiotherapy will be carried out in referent centers in France. The primary endpoint is progression-free survival (PFS). Secondary endpoints are overall survival and local control, toxicity profile, and quality of life. In addition, a prospective health-economic study and a radiobiological analysis will be conducted. To demonstrate an absolute improvement in the 5-year PFS rate of 20% in favor of carbon ion therapy, 250 patients have to be included in the study., Discussion: So far, no clinical study of phase III has demonstrated the superiority of carbon ion therapy compared to conventional radiotherapy, including proton therapy, for the treatment of radioresistant tumors., Trial Registration: ClinicalTrials.gov identifier: NCT02838602 . Date of registration: July 20, 2016. The posted information will be updated as needed to reflect protocol amendments and study progress., (© 2022. The Author(s).)

The outbreak of the SARS-CoV-2 virus, enhanced by rapid spreads of variants, has caused a major international health crisis, with serious public health and economic consequences. An agent-based model was designed to simulate the evolution of the epidemic in France over 2021 and the first six months of 2022. The study compares the efficiencies of four theoretical vaccination campaigns (over 6, 9, 12, and 18 months), combined with various non-pharmaceutical interventions. In France, with the emergence of the Alpha variant, without vaccination and despite strict barrier measures, more than 600,000 deaths would be observed. An efficient vaccination campaign (i.e., total coverage of the French population) over six months would divide the death toll by 10. A vaccination campaign of 12, instead of 6, months would slightly increase the disease-related mortality (+6%) but require a 77% increase in ICU bed-days. A campaign over 18 months would increase the disease-related mortality by 17% and require a 244% increase in ICU bed-days. Thus, it seems mandatory to vaccinate the highest possible percentage of the population within 12, or better yet, 9 months. The race against the epidemic and virus variants is really a matter of vaccination strategy.