ArticleBMJ evidence-based medicine2020
Make quotations great again: a proposal to reduce false-knowledge.
Article in BMJ evidence-based medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Systematic review and meta-analysis of quotation inaccuracy in medicine.Research integrity and peer review · 2025Article
- Revisiting the 'nuclear species' concept: do we really know what we think we know?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- How to Reduce Errors and Improve Transparency by Using More Precise Citations.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The last decades saw remarkable change in the way healthcare professionals generate and consume medical knowledge. Information management technologies have evolved considerably, yet medical publications continue to use a referencing system that has changed very little since the turn of the 20th century. Research suggests that up to one in five referenced claims quotes the original text inaccurately. Many authors, perhaps inadvertently, contribute to this process by citing non-primary data and amplifying the errors of their predecessors. Erroneous claims are propagated, accumulate into false belief systems and generate inaccurate knowledge. Updating the referencing system to provide additional information to support each referenced claim (eg, the location of the referenced statement in the original text and the nature of that text) could, perhaps, address this cycle of inaccuracy. We believe such changes in the referencing system would prompt authors to rigorously verify referenced claims and provide readers with context to inform a critical evaluation of the text. We detail our proposal for changes in the notations used for referencing, as well as in the information provided within reference lists. We also discuss some barriers and solutions to the adoption of our proposal.
Indexed as
Identifiers
30804021What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.