The DOI matches its Crossref record.
How to Read a Paper, the Basics of Evidence-Based Medicine:
Abstract
This is the fifth edition of this book written by Prof. Greenhalgh, OBE, FRCGP, FRCP, Professor of Primary Health Care, and Dean for Research Impact, Barts and the London School of Medicine and Dentistry, London, UK. Prof. Greenhalgh is also a non-principal general practitioner in North London. The first edition was written in 1996. The intended target audience is medical and nursing schools, but it will be of interest to any medical practitioners, allied professionals or indeed any interested person who wants to teach or learn the basics of evidence-based medicine. The book is comprehensive and is organized into 17 chapters. They cover everything from why read papers at all, through assessing methodological quality and statistics for the non-statistician. Further chapters report on drug treatments and simple interventions, diagnostic and screening tests, systematic reviews and meta-analysis before moving on to guidelines, economic analysis, questionnaire research and finally quality improvement case studies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
How to Write a Systematic Review of the Literature
Pati, D., & Lorusso, L. N. (2018) · HERD: Health Environments Research & Design Journal · doi:10.1177/1937586717747384 · Cited by 601
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing
Kohavi, R., Tang, D., & Xu, Y. (2020) · doi:10.1017/9781108653985 · Cited by 297
Interventions for compassionate nursing care: A systematic review
Blomberg, K., Griffiths, P., Wengström, Y., May, C., & Bridges, J. (2016) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2016.07.009 · Cited by 111
Bach‐Mortensen, A. M., & Verboom, B. (2020) · Research Synthesis Methods · doi:10.1002/jrsm.1447 · Cited by 69
Metadata
- Authors
- Thompson, J.
- Venue
- Occupational Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-02-17
- Volume
- 65
- Issue
- 2
- Pages
- 169.1-169
- ISSN
- 0962-7480 (ISSN-L)
- 1471-8405
- OpenAlex
- W2320989000
- Cited by
- 176
- References
- 0
- FWCI
- 31.55
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: How to Read a Paper, the Basics of Evidence-Based Medicine:. https://app.cochat.ai/papers/10.1093/occmed/kqu187
- The paper
- Thompson, J. (2015). How to Read a Paper, the Basics of Evidence-Based Medicine:. Occupational Medicine. https://doi.org/10.1093/occmed/kqu187
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.
