Sharing of Individual Patient-Level Data by Trialists of Randomized Clinical Trials of Pharmacological Treatments for COVID-19
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This study describes access to individual patient-level data from randomized clinical trials during the COVID-19 pandemic to determine whether the intent to share what was reported in the registry, publication, or preprint was consistent with actual data access.
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Among 224 randomised trials of interventions for covid-19, 68 (30%) reported in a trial registry the intention to share data, but only 50 (22%) actually shared individual patient data upon request or in a repository.
“For example, among 224 randomised trials of interventions for covid-19, 68 (30%) reported in a trial registry the intention to share data, but only 50 (22%) actually shared individual patient data upon request or in a repository.96”
From SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials (2025) · cites this paper as [96]
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Cites
The COVID-NMA Project: Building an Evidence Ecosystem for the COVID-19 Pandemic
Boutron, I., Chaimani, A., Meerpohl, J. J., Hróbjartsson, A., Devane, D., Gabriel Rada, G., Tovey, D. I., Grasselli, G., & Ravaud, P. (2020) · Annals of Internal Medicine · doi:10.7326/m20-5261 · Cited by 95 · see citing works
Self-citationTime for NIH to lead on data sharing
Sim, I., Stebbins, M., Bierer, B. E., Butte, A. J., Drazen, J. M., Dzau, V. J., Hernandez, A. F., Krumholz, H. M., Lo, B., Munos, B. H., et al. (2020) · Science · doi:10.1126/science.aba4456 · Cited by 63 · see citing works
Tan, A. C., Askie, L. M., Hunter, K. E., Barba, A., Simes, R. J., & Seidler, A. L. (2021) · Research Synthesis Methods · doi:10.1002/jrsm.1500 · Cited by 48 · see citing works
Medical journal requirements for clinical trial data sharing: Ripe for improvement
Naudet, F., Siebert, M., Pellen, C., Gaba, J., Axfors, C., Cristea, I., Danchev, V., Mansmann, U., Ohmann, C., Wallach, J. D., et al. (2021) · PLOS Medicine · doi:10.1371/journal.pmed.1003844 · Cited by 43 · see citing works
Boutron, I., Chaimani, A., Devane, D., Meerpohl, J. J., Rada, G., Hróbjartsson, A., Tovey, D., Grasselli, G., & Ravaud, P. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013769 · Cited by 41 · see citing works
Self-citationTrials and Tribulations—11 Reasons Why We Need to Promote Clinical Trials Data Sharing
Butte, A. J. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.35043 · Cited by 13 · see citing works
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CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials
Hopewell, S., Chan, A.-W., Collins, G. S., Hróbjartsson, A., Moher, D., Schulz, K. F., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · BMJ · doi:10.1136/bmj-2024-081124 · Cited by 205 · see citing works
Self-citationSPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials
Hróbjartsson, A., Boutron, I., Hopewell, S., Moher, D., Schulz, K. F., Collins, G. S., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · BMJ · doi:10.1136/bmj-2024-081660 · Cited by 171 · see citing works
Self-citationManyara, A. M., Davies, P. A., Stewart, D., Weir, C. J., Young, A. E., Blazeby, J. M., Butcher, N. J., Bujkiewicz, S., Chan, A., Dawoud, D., et al. (2024) · BMJ · doi:10.1136/bmj-2023-078524 · Cited by 53 · see citing works
Diabetes Mellitus, Energy Metabolism, and COVID-19
Conte, C., Cipponeri, E., & Roden, M. (2023) · Endocrine Reviews · doi:10.1210/endrev/bnad032 · Cited by 50 · see citing works
Manyara, A. M., Davies, P. A., Stewart, D., Weir, C. J., Young, A. E., Blazeby, J. M., Butcher, N. J., Bujkiewicz, S., Chan, A., Dawoud, D., et al. (2024) · BMJ · doi:10.1136/bmj-2023-078525 · Cited by 33 · see citing works
Ethnic representation in interventional clinical trials run in India
Mendiratta, J., Pillamarapu, M., Chakraborty, I., Vaswani, R., Kapoor, M., Vadlamani, S., & Saberwal, G. (2023) · The Lancet Regional Health - Southeast Asia · doi:10.1016/j.lansea.2023.100230 · Cited by 6 · see citing works
Guedes, M. N. P., Bazan, A. D. L. S., Rubio-Martín, E., Pulido, L. B., Palomo, V., Piljić, A., Leclerc, Q. J., Aris, E., Vella, V., Dambrauskienė, A., et al. (2025) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2025.01.024 · Cited by 3 · see citing works
Dal‐Ré, R. (2023) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2023.07.024 · Cited by 2 · see citing works
Is full transparency in clinical trials an achievable goal?
Dal‐Ré, R. (2024) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2024.03.006 · Cited by 1 · see citing works
Medina, E., Sánchez-Sandoval, A. L., Barrón-Palma, E. V., Espinosa-García, A. M., Villalobos-Osnaya, A., León-Hernández, M., Hernández-Medel, M. L., Hernández-Ruiz, J., Medeiros-Domingo, M., Cedro‐Tanda, A., et al. (2024) · F1000Research · doi:10.12688/f1000research.143776.2 · Cited by 1 · see citing works
Dal‐Ré, R., & Hemkens, L. G. (2025) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2025.111692 · Cited by 1 · see citing works
King, A. J., Higgins, L., Au, C., Malakouti, S., Music, E., Kalchthaler, K., Clermont, G., Garrard, W., Huang, D. T., McVerry, B. J., et al. (2023) · medRxiv · doi:10.1101/2023.09.19.23295797
Tovey, D. I., Pieper, D., & Tricco, A. C. (2024) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2024.111324
Dal‐Ré, R. (2024) · Archivos de Bronconeumología · doi:10.1016/j.arbres.2024.07.016
Completeness and changes in data reporting pharmacological interventions to treat COVID-19
Strikić, M., & Pranić, S. M. (2025) · Scientific Reports · doi:10.1038/s41598-025-06308-y
- Authors
- Esmail, L. C., Kapp, P., Assi, R., Wood, J., Regan, G., Ravaud, P., & Boutron, I.
- Affiliations
- Université Paris Cité (FR)
- University of Freiburg (DE)
- Vivli (US)
- Corresponding author
- Esmail, Laura C.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2023-05-16
- Volume
- 329
- Issue
- 19
- Pages
- 1695
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC10071396
- OpenAlex
- W4362507243
- Cited by
- 16
- References
- 6
- Citations by year
- 2025: 6 · 2024: 6 · 2023: 4
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- World Health Organization
- Agence Nationale de la Recherche
- Institut National de la Santé et de la Recherche Médicale
- Assistance Publique - Hôpitaux de Paris
- Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche
- Assistance publique-Hôpitaux de Paris
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmaceutical industry and healthcare
- Keywords
- individual patient data, data sharing, COVID-19 pandemic, randomized controlled trials, pharmacotherapy, data access, clinical trial registries, preprints
- MeSH terms
- COVID-19, Humans, Randomized Controlled Trials as Topic, Information Dissemination
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