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Traumatic spinal cord injury (SCI) is a devastating and complex condition to treat with no curative options. In the past few decades, rapid advancements in our understanding of SCI pathophysiology as well as the mergence of new treatments has created more optimism. Focusing on clinical translation, this paper provides a comprehensive overview of SCI through its epidemiology, pathophysiology, currently employed management strategies, and emerging therapeutic approaches. Additionally, it emphasizes the importance of addressing the heavy quality of life (QoL) challenges faced by SCI patients and their desires, providing a basis to tailor patient-centric forms of care. Furthermore, this paper discusses the frequently encountered barriers in translation from preclinical models to clinical settings. It also seeks to summarize significant completed and ongoing SCI clinical trials focused on neuroprotective and neuroregenerative strategies. While developing a cohesive regenerative treatment strategy remains challenging, even modest improvements in sensory and motor function can offer meaningful benefits and motivation for patients coping with this highly debilitating condition.

Izabela Gudewicz, Justyna Hajtuch, Renata Zaucha Department of Oncology and Radiotherapy, Medical University of Gdansk, Gdansk, PolandCorrespondence: Izabela Gudewicz, Medical University of Gdansk, Marii Skłodowskiej-Curie 3a Street, Gdansk, Poland, Tel +48 797 377 893, Email izabelagudewicz@gumed.edu.plAbstract: The entire clinical trial process is a perfectly orchestrated team. It took many years before centers started hiring clinical trial coordinators. The centers that decided to do so noted not only positive aspects from the technical side of the study, but also from the side of the participants - which are the patients. The aim of the publication was to collect literature data showing the work of the coordinator in the centers and its impact on increasing the effectiveness of the study. The comparison additionally included the importance of the coordinator’s role on patient recruitment and perceptions. The centers analyzed, showed the impact of the coordinator on their center’s research at approximately: 99.1% in China (knowledge of patient rights), 80% in Italy (increasing the quality of the clinical trial conducted) and 70% in South Korea (impact on reducing patient withdrawal of consent). Those teams that worked without the support of a coordinator gained less trust among patients, which affected recruitment and retention of participants. The coordinator’s influence on study management resulted in better organization of the study. Conclusions reached can support the development of centers and thus clinical trials around the world. Hiring a coordinator not only has an impact on improving the management of the study, but also on increasing the number of patients included, and thus increasing the therapeutic options in medicine. This paper aims to compile existing literature concerning the responsibilities of clinical trial coordinators and subsequently advocate for the value they bring to enhancing the efficacy and efficiency of clinical trials.Keywords: study coordinator, clinical research, clinical trials, management, patients

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In the past decade, with the implementation of policies to promote the research and development of rare disease drugs, the increase in the number of clinical trials for rare disease drugs has posed new challenges to ethical review. Clinical trials of rare disease drugs involve vulnerable populations with a small number of patients, scattered populations, and relative concentration in certain disease areas. The trials are mainly conducted in the early stages, often requiring small sample sizes, single arm designs, and more new technologies such as cellular and gene therapy. In addition to meeting the general requirements of clinical trials for common diseases, ethical review should also give special attention to the special characteristics of rare diseases in risk benefit assessment, research design, informed consent, trial operation, etc. Ethical review of clinical trials for rare diseases should effectively promote the development of new drugs for rare diseases and protect the rights and interests of participants.By analyzing the characteristics of clinical trials for rare diseases drugs, this paper presents the points of special concern during the review, aiming to improve the level of ethical review for clinical trials of drugs related to rare diseases.

Background Participants in clinical trials often do not reflect the populations that could benefit from the treatments being investigated. There are known barriers to trial participation for under-served groups, but limited evidence on strategies to alleviate these barriers to improve representation. This scoping review aimed to identify effective interventions and design features that improve the representation `of under-served groups in trials, focusing on the UK and Ireland. Methods We included methodological research studies that reported interventions to improve representation of ethnic minority groups, socioeconomically disadvantaged groups, older people, or those with impaired capacity to consent to randomised controlled trials, conducted in the UK and Ireland, published between 2000–2021. Systematic searches were conducted in November 2021 and data were independently extracted by two authors and narratively synthesised. Results Seven studies were included: one randomised controlled study embedded in five trials, one mixed-methods study, and five studies reporting ‘lessons learnt’ from one trial. We categorised the 47 reported interventions or strategies into nine broad themes: Recruitment sites, recruitment settings, community engagement, and communication with participants, incentives, inclusion criteria, flexibility, patient documentation, and the consent process. Only 28/47 interventions were evaluated, 23 of which were comparison of recruitment pathways. The randomised study found that a £100 incentive mentioned in the invitation letter increased positive responses overall across drug trials in cardiovascular disease and hypertension, but not for older people or those living in the most deprived areas. Invitation letters via GPs and working with communities were reported as successful recruitment pathways in recruiting different under-served populations. Conclusions Interventions aiming to improve the recruitment of under-served groups in the UK and Ireland were reported across seven papers, but their effectiveness was rarely rigorously evaluated. Included studies were context specific. Using a variety of recruitment methods is likely to help achieve a more diverse cohort.

Abstract Background: Bayesian statistical approaches are extensively used in new statistical methods but have not been adopted at the same rate in clinical and translational (C&T) research. The goal of this paper is to accelerate the transition of new methods into practice by improving the C&T researcher’s ability to gain confidence in interpreting and implementing Bayesian analyses. Methods: We developed a Bayesian data analysis plan and implemented that plan for a two-arm clinical trial comparing the effectiveness of a new opioid in reducing time to discharge from the post-operative anesthesia unit and nerve block usage in surgery. Through this application, we offer a brief tutorial on Bayesian methods and exhibit how to apply four Bayesian statistical packages from STATA, SAS, and RStan to conduct linear and logistic regression analyses in clinical research. Results: The analysis results in our application were robust to statistical package and consistent across a wide range of prior distributions. STATA was the most approachable package for linear regression but was more limited in the models that could be fitted and easily summarized. SAS and R offered more straightforward documentation and data management for the posteriors. They also offered direct programming of the likelihood making them more easily extendable to complex problems. Conclusion: Bayesian analysis is now accessible to a broad range of data analysts and should be considered in more C&T research analyses. This will allow C&T research teams the ability to adopt and interpret Bayesian methodology in more complex problems where Bayesian approaches are often needed.