Promotion of data sharing needs more than an emergency: An analysis of trends across clinical trials registered on the International Clinical Trials Registry Platform

Poor registration and publication practices in clinical trials of targeted therapeutics for endocrine and metabolic diseases: an observational study

OBJECTIVES

To assess the completeness and concordance of reporting in registries and corresponding publications of interventional trials on targeted therapeutics for endocrine and metabolic disorders.

STUDY DESIGN AND SETTING

We searched clinical trial registries in September 2022 for completed interventional trials of target therapeutics for endocrine and metabolic disorders registered from 2005 onwards. We used ClinicalTrials.gov and the World Health Organization International Clinical Trial Registration Platform registration requirements to extract data and assess the completeness of initial entry and final updates to trial registration and concordance with their published journal articles.

RESULTS

Among 149 clinical trials included, 121 (81%) had corresponding publications. Missing mandatory registration data items were identified in 89 (67%) trials at the initial registration entry, 17 (13%) at the final registration update, and in 85 (77%) corresponding publications. All trials showed changes between initial registration entry and final registration update, and 98% showed changes from the initial registration entry to publication. Changes between initial registration entry and final registration update were most common in the categories 'Completion date' (92%), 'Key secondary outcomes' (82%), and 'Date of first enrolment' (70%). Changes between initial registration entry and publication were most common in categories 'Sample size' (91%), 'Key inclusion and exclusion criteria' (81%), 'Key secondary outcomes' (84%), and 'Completion date' (83%).

CONCLUSION

Despite the legal and journal registration requirements, the completeness and consistency of reporting mandatory data items in registries and corresponding publications regarding targeted therapeutics for endocrine and metabolic disorders are inadequate. Our findings raise questions about the integrity and reliability of clinical trials focusing on targeted therapeutics.

PLAIN LANGUAGE SUMMARY

This study evaluated the completeness of reporting of mandatory information about clinical trials of targeted therapies for endocrine and metabolic diseases in trial registries and published articles. Furthermore, we examined whether the information in trial registries aligns with what is reported in scientific journals. Our analysis focused on completed interventional trials registered from 2005 onwards using trial registries. We found that 67% of the included trials were missing mandatory information at the time of initial entry into registry, while 77% of the matching publications also lacked mandatory information. The most common discrepancies between the entry into registry and published data occurred in the mandatory categories of sample sizes and key inclusion and exclusion criteria for participants. Our findings highlight major gaps in how clinical trials for targeted therapies in endocrine and metabolic diseases are conducted. Despite established requirements for accurate registration and publication of mandatory trial information, substantial discrepancies persist between the data in registries and published results. These inconsistencies raise concerns about the reliability of reported findings and underscore the urgent need for improved practices in trial registration and reporting.

Registration and characteristics of clinical trials on traditional Chinese medicine and natural medicines for endometriosis: a comprehensive analysis

Objective

To investigate the characteristics of clinical trials on traditional Chinese medicine (TCM) or natural medicines for treating endometriosis, aiming to inform future clinical practice and the development of new effective drugs.

Method

The global clinical trial registration platform was searched to identify clinical trials investigating the efficacy of TCM/natural medicine in treating endometriosis. Relevant trials were selected based on stringent inclusion and exclusion criteria. Data entry was performed using Microsoft Excel, while data analysis was conducted using SPSS version 23.

Results

The study encompassed 57 trials, of which ClinicalTrials.gov accounted for 18, ChiCTR for 3, ICRP for 15, and ChiDTR for 21 trials. The number of registrations showed a significant positive correlation with the years. Of the 57 clinical trials, 87.7% were randomized, 63.2% were blinded, 78.9% followed a parallel intervention model, and 56.1% had a sample size below 100. Regarding trial phases, 45.6% of clinical trials did not specify a phase, while Phase 3 and Phase 4 clinical trials accounted for 17.5%. Nine clinical trials involved drugs that are already on the market, including six Chinese patent medicines: Sanjie Zhentong Capsules, Honghua Ruyi Pills, Huayu Sanjie Enema Liquid, Kuntai Capsules, Wenjing Tang, and Xuefu Zhuyu Capsules. Outside China, Iran has the highest number of registrations for natural medicine treatments for endometriosis, with curcumin being the most registered natural medicine.

Conclusion

The analysis reveals that clinical trials on TCM and natural remedies for endometriosis often utilize randomization; however, substantial deficiencies remain in blinding and sample size adequacy. These findings suggest that, despite growing interest in TCM and natural remedies, further methodological improvements are necessary to enhance the credibility of future studies. This research highlights the importance of rigorously designed clinical trials in verifying the safety and efficacy of these alternative therapies, which may influence future therapeutic approaches for managing endometriosis.

An assessment of the informative value of data sharing statements in clinical trial registries

BACKGROUND

The provision of data sharing statements (DSS) for clinical trials has been made mandatory by different stakeholders. DSS are a device to clarify whether there is intention to share individual participant data (IPD). What is missing is a detailed assessment of whether DSS are providing clear and understandable information about the conditions for data sharing of IPD for secondary use.

METHODS

A random sample of 200 COVID-19 clinical trials with explicit DSS was drawn from the ECRIN clinical research metadata repository. The DSS were assessed and classified, by two experienced experts and one assessor with less experience in data sharing (DS), into different categories (unclear, no sharing, no plans, yes but vague, yes on request, yes with specified storage location, yes but with complex conditions).

RESULTS

Between the two experts the agreement was moderate to substantial (kappa=0.62, 95% CI [0.55, 0.70]). Agreement considerably decreased when these experts were compared with a third person who was less experienced and trained in data sharing ("assessor") (kappa=0.33, 95% CI [0.25, 0.41]; 0.35, 95% CI [0.27, 0.43]). Between the two experts and under supervision of an independent moderator, a consensus was achieved for those cases, where both experts had disagreed, and the result was used as "gold standard" for further analysis. At least some degree of willingness of DS (data sharing) was expressed in 63.5% (127/200) cases. Of these cases, around one quarter (31/127) were vague statements of support for data sharing but without useful detail. In around half of the cases (60/127) it was stated that IPD could be obtained by request. Only in in slightly more than 10% of the cases (15/127) it was stated that the IPD would be transferred to a specific data repository. In the remaining cases (21/127), a more complex regime was described or referenced, which could not be allocated to one of the three previous groups. As a result of the consensus meetings, the classification system was updated.

CONCLUSION

The study showed that the current DSS that imply possible data sharing are often not easy to interpret, even by relatively experienced staff. Machine based interpretation, which would be necessary for any practical application, is currently not possible. Machine learning and / or natural language processing techniques might improve machine actionability, but would represent a very substantial investment of research effort. The cheaper and easier option would be for data providers, data requestors, funders and platforms to adopt a clearer, more structured and more standardised approach to specifying, providing and collecting DSS.

TRIAL REGISTRATION

The protocol for the study was pre-registered on ZENODO ( https://zenodo.org/record/7064624#.Y4DIAHbMJD8 ).

Rising pharmaceutical innovation in the Global South: a landscape study

BACKGROUND

There is growing interest in pharmaceutical innovation in low- and middle-income countries (LMICs), but information on existing activities, capacities, and outcomes is scarce. We mapped available data at the global level, and studied the national pharmaceutical innovation systems of Bangladesh and Colombia to shed light on pharmaceutical research and development (R&D) in the Global South, including challenges and prospects, to help fill existing knowledge gaps.

METHODS

We gathered and analyzed data from three types of sources: literature, semi-structured interviews with key informants, and publicly available data on R&D funding, R&D scientific capacity measured by human resources, and clinical trial activities.

RESULTS

Pharmaceutical R&D activities are occurring in many LMICs, but 16 countries have emerged as frontrunners. Investment in R&D in LMICs has increased in the past decade, particularly from middle-income countries (MICs). Capacity is also growing, with an increase in the number of research organizations and the amount of funding available from external sources. The total number of clinical trials and the proportion of trials in LMICs increased markedly, and there is also growing activity in the earlier, more innovative and riskier Phase 1 and 2 trials. Non-commercial entities comprise the majority of clinical trial funders and sponsors in LMICs. Finally, investments have borne fruit, as indicated by a number of innovative medicines developed in LMICs. The Bangladesh and Colombia country studies showed that there is still a need for both targeted R&D policies to strengthen capacities in the pharmaceutical sector, and more government support to overcome the challenges of a lack of funding and coordination among different actors.

CONCLUSIONS

By triangulating between the data sources, it was possible to paint a broad picture of who was involved in pharmaceutical R&D in LMICs, in which particular countries, for which diseases, in which R&D phases, and with what results-as well as how these trends have changed over time. Prioritizing pharmaceutical R&D is an important strategy for better meeting health needs. The trendlines are promising, but focused attention is still needed to realize the potential for greater innovation in the Global South.

History and current status of clinical studies using human pluripotent stem cells

The Human Pluripotent Stem Cell Registry established a database of clinical studies using human pluripotent stem cells (PSCs) as starting material for cell therapies. Since 2018, we have observed a switch toward human induced pluripotent stem cells (iPSCs) from human embryonic stem cells. However, rather than using iPSCs for personalized medicines, allogeneic approaches dominate. Most treatments target ophthalmopathies, and genetically modified iPSCs are used to generate tailored cells. We observe a lack of standardization and transparency about the PSCs lines used, characterization of the PSC-derived cells, and the preclinical models and assays applied to show efficacy and safety.

COVID-19 trials were not more likely to report intent to share individual data than non-COVID-19 trials in ClinicalTrials.gov

OBJECTIVES

To compare intent to share individual participant data (IPD) between COVID-19 and non-COVID-19 trials registered at ClinicalTrials.gov between 01/09/2020, and 01/03/2021. We also evaluated factors independently associated with intent to share IPD and whether intent to share IPD has improved as compared with the prepandemic period.

METHODS

We searched ClinicalTrials.gov for all interventional phase 3 studies registered between 01/09/2020, and 01/03/2021. Then, we identified COVID-19 trials and selected a random sample of non-COVID-19 trials with a ratio 2:1. We compared the intent to share IPD between these trials and with 292 trials registered between 01/12/2019, and 01/03/2020 (prepandemic period).

RESULTS

We included 148 COVID-19 trials and 296 non-COVID-19 trials. Intent to share IPD did not significantly differ between COVID-19 and non-COVID-19 trials (22.3% vs. 27.0%, P = 0.3). Intent to share IPD was independently associated with industry-sponsorship (odds ratio [OR] = 2.92; 95% confidence interval [CI]: 1.65-5.27) and location in the United States (OR = 2.93; 95% CI: 1.64-5.41) or the European Union (OR = 2.06; 95% CI: 1.03-4.19). The intent to share IPD has not significantly improved compared with the prepandemic period (P = 0.16).

CONCLUSION

Data-sharing intent at registration does not seem better for COVID-19 trials.

Data capture and sharing in the COVID-19 pandemic: a cause for concern

Routine health care and research have been profoundly influenced by digital-health technologies. These technologies range from primary data collection in electronic health records (EHRs) and administrative claims to web-based artificial-intelligence-driven analyses. There has been increased use of such health technologies during the COVID-19 pandemic, driven in part by the availability of these data. In some cases, this has resulted in profound and potentially long-lasting positive effects on medical research and routine health-care delivery. In other cases, high profile shortcomings have been evident, potentially attenuating the effect of-or representing a decreased appetite for-digital-health transformation. In this Series paper, we provide an overview of how facets of health technologies in routinely collected medical data (including EHRs and digital data sharing) have been used for COVID-19 research and tracking, and how these technologies might influence future pandemics and health-care research. We explore the strengths and weaknesses of digital-health research during the COVID-19 pandemic and discuss how learnings from COVID-19 might translate into new approaches in a post-pandemic era.

Clinical trial registration during COVID-19 and beyond in the African context: what have we learned?

Since the outbreak of COVID-19, many lives have been impacted especially on the African continent which is already fighting the burden of multiple diseases of poverty. However, clinical research has offered hope for treatment and prevention options for this infectious disease. Despite many COVID-19 clinical trials conducted globally, three countries in Africa account for more than 80% of all trials from the continent registered trials in clinical trial registries. This indicates geographic disparity among COVID-19 research in Africa. From the perspective of clinical trial registration, transparency in clinical research and the availability of data became important for making informed decisions to manage the pandemic. Registries serve as a source of planned, ongoing, and completed trials while allowing efficient funding allocation for research that would not duplicate efforts. Additionally, research gaps can be identified, which provide opportunities for collaboration among researchers. Therefore, a critical lesson learnt during this pandemic is that clinical trial registration is important in facilitating the process of tracking changes made to protocols and minimizing publication bias, thereby promoting and advocating for clinical research transparency. Moreover, registration in a clinical trial registry is a condition for publication and allows for trial summary results to be publicly available. Adhering to the principle of results sharing is especially important for the rapidly growing clinical research activities racing to find evidence-based interventions to end the COVID-19 pandemic.

Randomised trials of COVID-19 vaccines in Africa – charting the path forward

Vaccines have played a critical role in controlling disease outbreaks, hence the proliferation of the development and testing of multiple vaccine candidates during the COVID-19 pandemic. Randomised trials are gold standards for evaluating the safety and efficacy of pharmaceutical interventions such as COVID-19 vaccines. However, contextual differences may attenuate effects of COVID-19 vaccines. Thus, the need to conduct COVID-19 vaccine trials in all settings, including in Africa. We conducted a cross-sectional analysis of planned, ongoing, and completed COVID-19 vaccine trials in Africa. We searched the South African National Clinical Trials Register, Pan African Clinical Trials Registry, and International Clinical Trials Registry Platform (ICTRP) on 12 January and 30 April 2022; and complemented this with a search of ClinicalTrials.gov on 17 May 2022. We screened the search output and included randomised trials with at least one recruitment site in Africa. We identified only 108 eligible trials: 90 (83%) evaluating candidate COVID-19 vaccines, 11 (10%) assessing if existing vaccines could prevent SARS-CoV-2 infection, and 7 (7%) evaluating interventions for improving COVID-19 vaccination coverage. South Africa had the highest number of trials at 58 (54%). Beyond South Africa, countries with more than 10 trial sites include Kenya, Ghana, Egypt, Uganda, and Zimbabwe. Among the trials, 14 (13%) do not have principal investigators based in Africa, 39 (30%) are funded by industry, and 91 (84%) are funded by institutions based outside the host country. COVID-19 vaccine trials with recruitment sites in Africa represented only 7% of the 1453 COVID-19 vaccine trials in the ICTRP. The paucity of COVID-19 vaccine trials conducted on the African continent is a cause for concern. This has implications for the role that Africa may play in future pandemics.