Harms reported by patients in rheumatology drug trials: a systematic review of randomized trials in the cochrane library from an OMERACT working group
Harms reported by patients in rheumatology drug trials: a systematic review of randomized trials in the cochrane library from an OMERACT working group is a research paper published in Seminars in Arthritis and Rheumatism (2021). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
Abstract
BackgroundUnderreporting of harms in randomized controlled trials (RCTs) may lead to incomplete or erroneous assessments of the perceived benefit-to-harm profile of an intervention. To compare benefit with harm in clinical practice and future clinical studies, adverse event (AE) profiles including severity need to be understood. Even though patients report harm symptoms earlier and more frequently than clinicians, rheumatology RCTs currently do not provide a reporting framework from the patient's perspective regarding harms. Our objective for this meta-research project was to identify AEs in order to determine harm clusters and whether these could be self-reported by patients. Our other objective was to examine reported severity grading of the reported harms.MethodsWe considered primary publications of RCTs eligible if they were published between 2008 and 2018 evaluating pharmacological interventions in patients with a rheumatic or musculoskeletal condition and if they were included in Cochrane reviews. We extracted data on harms such as reported AE terms together with severity (if described), and categorized AE- and severity-terms into overall groups. We deemed all AEs with felt components appropriate for patient self-reporting.ResultsThe literature search identified 187 possible Cochrane reviews, of which 94 were eligible for evaluation, comprising 1,297 articles on individual RCTs. Of these RCTs, 93 pharmacological trials met our inclusion criteria (including 31,023 patients; representing 20,844 accumulated patient years), which reported a total of 21,498 AEs, corresponding to 693 unique reported terms for AEs. We further sub-categorized these terms into 280 harm clusters (i.e., themes). AEs appropriate for patient self-reporting accounted for 58% of the AEs reported. Among the reported AEs, we identified medical terms for all of the 117 harm clusters appropriate for patient reporting and lay language terms for 86%. We intended to include severity grades of the reported AEs, but there was no evidence for systematic reporting of clinician- or patient-reported severity in the primary articles of the 93 trials. However, we identified 33 terms suggesting severity, but severity grading was discernible in only 9%, precluding a breakdown by severity in this systematic review.ConclusionsOur results support the need for a standardized framework for patients' reporting of harms in rheumatology trials. Reporting of AEs with severity should be included in future reporting of harms, both from the patients' and investigators' perspectives.RegistrationPROSPERO: CRD42018108393.
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FAIR Checklist
Context only (not used in score)- Has DOI
- Open Access
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DataRank Breakdown
Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
0
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This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Why this DataRank?
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
- Base score B(p)
- log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
- Network N(p)
- Σ over citers of log1p(Cq) ÷ max(outdegreeq, 1). Being cited by a highly-cited paper with few references counts most.
- Damping factor d = 0.85
- DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
- Self-citations excluded
- Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.