Reporting Clinical Studies Affected by the COVID-19 Pandemic: Guidelines for Authors
Open accessAbstract
The coronavirus disease 2019 (COVID-19) pandemic has affected every area of society, and clinical investigation is no exception.1 The unprecedented speed and volume of scientific reports related to COVID-19, while challenging for editors and reviewers, is a testament to investigators' determination to continue their work.2 On the other hand, the pandemic has also necessitated substantial changes in the conduct of medical research, particularly clinical trials and prospective observational studies.Maintaining participant and study staff safety has often required modifications to the design and conduct of studies, impacting everything from recruitment to follow-up and sometimes delaying analysis and reporting of results.In this Editorial we provide guidance to authors on how to acknowledge any COVID-19 pandemic-related changes to their studies in submitted manuscripts.Our goal is to make authors aware of expectations regarding transparent communication of study results that may have been affected by the pandemic.Specifically, for studies that have been affected by the pandemic, the Methods section should include a subsection titled "Changes in Response to the COVID-19Pandemic" and incorporate the following information, as applicable. Change in Study ProtocolPandemic research conditions may require a range of revisions to study protocols.These may include modifications to the eligibility criteria, the intervention, the outcome measure, and the analysis.As expected with any clinical trial, the editors expect that any significant modifications to the protocol will be clearly indicated in an amendment to the protocol and will be reflected in an updated study registration (eg, at ClinicalTrials.gov or equivalent).If the primary outcome is modified, this will need to be justified, and the original primary outcome must still be presented even if only available for a subset of patients.Such modifications to the protocol may require review by an ethics oversight board or data safety monitoring board, which should also be noted (even if such review was formally waived or exempted).Changes to the study population or intervention, even those the investigators believe are minimal, may lead to heterogeneous effects within the trial.Supplemental analyses should be presented to investigate this possibility by exploring treatment effect interactions by subpopulations or changes in interventions, including intervention delivery, necessitated by COVID-19. Trial Delays and InterruptionsWe recognize that the pandemic may lead to a delay in reporting results, which will not preclude consideration for publication in JAMA Network Open, if reasonable and justified in the manuscript.Any interruptions in study recruitment or follow-up should be stated with start and stop dates.
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Other reports have provided analyses on the management of missing data in trials due to COVID-19, the ethical dimensions of conducting trials during public health emergencies, and the challenges of trial sponsorship during a pandemic.
“Other reports have provided analyses on the management of missing data in trials due to COVID-19, 41 ethical dimensions of conducting trials during public health emergencies, 33,42,43 and the challenges of trial sponsorship during a pandemic.”
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Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,384 · see citing works
Missing Data in Longitudinal Studies
Daniels, M. J., & Hogan, J. W. (2008) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420011180 · Cited by 357 · see citing works
Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis
Daniels, M. J., & Hogan, J. W. (2008) · Thammasat University Digital Collections · Cited by 278 · see citing works
Statistical Analysis with Missing Data
Mislevy, R. J., Little, R. J. A., & Rubin, D. B. (1991) · Journal of Educational Statistics · doi:10.2307/1165119 · Cited by 249 · see citing works
Preserving Clinical Trial Integrity During the Coronavirus Pandemic
McDermott, M. M., & Newman, A. B. (2020) · JAMA · doi:10.1001/jama.2020.4689 · Cited by 193 · see citing works
JAMA Network Open and COVID-19
Rivara, F. P., Fihn, S. D., & Perencevich, E. N. (2020) · JAMA · doi:10.1001/jama.2020.15194 · Cited by 2 · see citing works
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- JAMA Network Open. Instructions for authors: statistical methods and data presentation. Accessed December 7, 2020. https://jamanetwork.com/journals/jamanetworkopen/pages/instructions-for- authors#SecStatisticalMethodsandDataPresentation
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Orkin, A. M., Gill, P. J., Ghersi, D., Campbell, L., Sugarman, J., Emsley, R., Steg, P. G., Weijer, C., Simes, J., Rombey, T., et al. (2021) · JAMA · doi:10.1001/jama.2021.9941 · Cited by 299 · see citing works
- Authors
- Perlis, R. H., Haneuse, S. J. P. A., Rubenfeld, G. D., Fihn, S. D., & Rivara, F. P.
- Affiliations
- Harvard University (US)
- Sunnybrook Health Science Centre (CA)
- University of Washington (US)
- Corresponding author
- Perlis, Roy H.
- Venue
- JAMA Network Open
- Publisher
- American Medical Association (AMA)
- Published
- 2021-01-14
- Volume
- 4
- Issue
- 1
- Pages
- e2036155
- ISSN
- 2574-3805 (ISSN-L)
- OpenAlex
- W3118736010
- Cited by
- 38
- References
- 6
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 9 · 2023: 8 · 2022: 7 · 2021: 6
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JAMA Network Open (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- COVID-19 pandemic, clinical trial reporting, protocol modification, study delay, data safety monitoring board, participant safety
- MeSH terms
- Clinical Studies as Topic, COVID-19, SARS-CoV-2, Clinical Trials as Topic, Humans, Statistics as Topic, Time Factors, Guidelines as Topic, Editorial Policies, Research Report
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