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Users' Guides to the Medical Literature
Abstract
Medical practice is constantly changing. The rate of change is accelerating, and physicians can be forgiven if they often find it dizzying. How can physicians learn about new information and innovations, and decide how (if at all) they should modify their practice? Possible sources include summaries from the medical literature (review articles, practice guidelines, consensus statements, editorials, and summary articles in "throwaway" journals); consultation with colleagues who have special expertise; lectures; seminars; advertisements in medical journals; conversations with representatives from pharmaceutical companies; and original articles in journals and journal supplements. Each of these sources of information might be valuable, though each is subject to its own particular biases.1,2Problems arise when, as is often the case, these sources of information provide different suggestions about patient care. See also p 2093. Without a way of critically appraising the information they receive, clinicians are relatively helpless in deciding what new information
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Bennett, J. W., & Glasziou, P. P. (2003) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2003.tb05166.x · Cited by 146
Chidiac, R. M., & Aron, D. C. (1997) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/s0889-8529(05)70242-5 · Cited by 140
Metadata
- Authors
- Guyatt, G. H.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 1993-11-03
- Volume
- 270
- Issue
- 17
- Pages
- 2096
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2161566871
- Cited by
- 2,970
- References
- 2
- FWCI
- 59.73
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.