The DOI matches its Crossref record; 223 of the 223 references it cites were found in a registry or an index.
Reporting bias in medical research - a narrative review
Open accessAbstract
Reporting bias represents a major problem in the assessment of health care interventions. Several prominent cases have been described in the literature, for example, in the reporting of trials of antidepressants, Class I anti-arrhythmic drugs, and selective COX-2 inhibitors. The aim of this narrative review is to gain an overview of reporting bias in the medical literature, focussing on publication bias and selective outcome reporting. We explore whether these types of bias have been shown in areas beyond the well-known cases noted above, in order to gain an impression of how widespread the problem is. For this purpose, we screened relevant articles on reporting bias that had previously been obtained by the German Institute for Quality and Efficiency in Health Care in the context of its health technology assessment reports and other research work, together with the reference lists of these articles.We identified reporting bias in 40 indications comprising around 50 different pharmacological, surgical (e.g. vacuum-assisted closure therapy), diagnostic (e.g. ultrasound), and preventive (e.g. cancer vaccines) interventions. Regarding pharmacological interventions, cases of reporting bias were, for example, identified in the treatment of the following conditions: depression, bipolar disorder, schizophrenia, anxiety disorder, attention-deficit hyperactivity disorder, Alzheimer's disease, pain, migraine, cardiovascular disease, gastric ulcers, irritable bowel syndrome, urinary incontinence, atopic dermatitis, diabetes mellitus type 2, hypercholesterolaemia, thyroid disorders, menopausal symptoms, various types of cancer (e.g. ovarian cancer and melanoma), various types of infections (e.g. HIV, influenza and Hepatitis B), and acute trauma. Many cases involved the withholding of study data by manufacturers and regulatory agencies or the active attempt by manufacturers to suppress publication. The ascertained effects of reporting bias included the overestimation of efficacy and the underestimation of safety risks of interventions.In conclusion, reporting bias is a widespread phenomenon in the medical literature. Mandatory prospective registration of trials and public access to study data via results databases need to be introduced on a worldwide scale. This will allow for an independent review of research data, help fulfil ethical obligations towards patients, and ensure a basis for fully-informed decision making in the health care system.
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“Overall, the medical literature represents a biased subset of existing data, potentially leading to overestimation of benefits, underestimation of harms, and a detrimental impact on patient care and research.112 117 118”
From SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials (2025) · cites this paper as [117]
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Metadata
- Authors
- McGauran, N., Wieseler, B., Kreis, J., Schüler, Y.-B., Kölsch, H., & Kaiser, T.
- Affiliations
- Institute for Quality and Efficiency in Health Care (DE)
- Corresponding author
- McGauran, Natalie
- Venue
- Trials
- Published
- 2010-04-13
- Volume
- 11
- Issue
- 1
- Pages
- 37-37
- ISSN
- 1745-6215 (ISSN-L)
- PMC
- PMC2867979
- OpenAlex
- W2130998313
- Cited by
- 452
- References
- 223
- Citations by year
- 2026: 13 · 2025: 18 · 2024: 15 · 2023: 29 · 2022: 23 · 2021: 31 · 2020: 40 · 2019: 28 · 2018: 38 · 2017: 26 · 2016: 26 · 2015: 33 · 2014: 24 · 2013: 35 · 2012: 35
- FWCI
- 9.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Trials (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Nursing › Issues, ethics and legal aspects › Pharmaceutical industry and healthcare
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- reporting bias, publication bias, selective outcome reporting
- MeSH terms
- Animals, Consumer Product Safety, Humans, Periodicals as Topic, Registries, Truth Disclosure, Reproducibility of Results, Treatment Outcome, Publication Bias, Evidence-Based Medicine, Databases as Topic, Access to Information, Biomedical Research
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