Transparency of COVID-19 vaccine trials: decisions without data
Abstract
ICF, informed consent form; IPD, individual participant data; n, number enrolled in trial; N/A, not applicable; Pub, journal publication ; SAP, statistical analysis plan.
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These study limitations all stem from the fact that the raw data from COVID-19 vaccine clinical trials are not publicly available.
“These study limitations all stem from the fact that the raw data from COVID-19 vaccine clinical trials are not publicly available. [45,46].”
From Serious adverse events of special interest following mRNA COVID-19 vaccination in randomized trials in adults (2022) · cites this paper as [45]
As we approach 2 years after release of COVID-19 vaccines, participant-level data remain inaccessible.
“Unfortunately, as we approach 2 years after release of COVID-19 vaccines, participant level data remain inaccessible. [45,46].”
From Serious adverse events of special interest following mRNA COVID-19 vaccination in randomized trials in adults (2022) · cites this paper as [45]
Cites
Neuraminidase inhibitors for preventing and treating influenza in adults and children
Jefferson, T., Jones, M. A., Doshi, P., Del Mar, C. B., Hama, R., Thompson, M. J., Spencer, E. A., Onakpoya, I. J., Mahtani, K. R., Nunan, D., et al. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008965.pub4 · Cited by 382 · see citing works
Self-citation
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Cited by
Sorted by citations
Fraiman, J., Erviti, J., Jones, M., Greenland, S., Whelan, P., Kaplan, R. M., & Doshi, P. (2022) · Vaccine · doi:10.1016/j.vaccine.2022.08.036 · Cited by 228 · see citing works
“[45,46].”
Self-citation
- Authors
- Tanveer, S., Rowhani-Farid, A., Hong, K., Jefferson, T., & Doshi, P.
- Affiliations
- University of Maryland, Baltimore (US)
- University of Oxford (GB)
- Corresponding author
- Doshi, Peter
- Venue
- BMJ Evidence-Based Medicine
- Publisher
- BMJ
- Published
- 2021-08-09
- Volume
- 27
- Issue
- 4
- Pages
- 199-205
- ISSN
- 1356-5524 (ISSN-L)
- 2515-446X
- 2515-4478
- OpenAlex
- W3192795865
- Cited by
- 57
- References
- 1
- Citations by year
- 2025: 4 · 2024: 8 · 2023: 11 · 2022: 31 · 2021: 3
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- BMJ Evidence-Based Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Laura and John Arnold Foundation (No grant number)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Keywords
- COVID-19 vaccine trials, clinical trial transparency, informed consent forms, individual patient data, statistical analysis plan, clinical trial reporting
- MeSH terms
- COVID-19, COVID-19 Vaccines, Humans
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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