Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 229

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

How to read a paper: The Medline database

Open access
Greenhalgh, Trisha·1997·BMJ

Abstract

In 1928, in his introduction to Sceptical Essays, Bertrand Russell wrote: "The extent to which beliefs are based on evidence is very much less than believers suppose."Medical beliefs, and the clinical practices that are based on them, are a case in point.Debate continues as to whether scientific evidence alone is sufficient to guide medical decision making, but few doctors would dispute that finding and understanding relevant research based evidence is increasingly necessary in clinical practice.This article is the first in a series that introduces the non-expert to searching the medical literature and assessing the value of medical articles. The Medline databaseOver 10 million medical articles exist on library shelves.About a third are indexed in the huge Medline database, compiled by the National Library of Medicine of the United States.The Medline database is exactly the same, whichever company is selling it, but the commands differ according to the software.Vendors of Medline online and on CD ROM include Ovid Technologies (ovid) and Silver Platter Information (WinSPIRS).Articles can be traced in two ways: by any word listed on the database, including words in the title, abstract, authors' names, and the institution where the research was done; and by a restricted thesaurus of medical titles, known as medical subject heading (MeSH) terms.To illustrate how Medline works, I have worked through some common problems in searching.The scenarios have been drawn up using ovid software.Problem 1: You are trying to find a known paper Solution: Search the database by field suffix (title, author, journal, institution, etc) or by textwords.First, get into the part of the database which covers the approximate year of the paper's publication.If you are already in the main Medline menu, select "database" (Alt-B).If you know the approximate title of the paper and perhaps the journal where it was published, you can use the title and journal search keys or (this is quicker) the .tiand .jnfield suffixes.The box shows some other useful field suffixes.Thus, to find a paper called something like "Confidentiality and patients' casenotes," which you remember seeing in the British Journal of General Practice a couple of years ago, 1 type the following sequence:1 confidentiality.ti 2 british journal of general practice.jn3 1 and 2 You could do all this in one step:1 confidentiality.tiand british journal of general practice.jnThis step illustrates the use of the boolean operator "and"; it will give you articles common to both sets.Using "or" will simply add the two sets together.Note that since 1988 the British Medical Journal is abbreviated BMJ in ovid software, and Journal of the American Medical Association is JAMA.Other useful field suffixes to try when searching for a known article are author (using the syntax haines-ap.au),institution (for example, manchester.in), or title (for example, evidence-based medicine.ti). Summary pointsNot all medical articles are indexed on Medline, and many that are have been misclassified Searching by textword can supplement a search by MeSH headingsTo increase the sensitivity of a search, use the "explode" command and avoid using subheadings Scan titles on screen rather than relying on the software to find the most valid or relevant ones Useful search field suffixes (ovid)

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bmj.315.7101.180

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 1 references

Cited by

See all 229

Metadata

Authors
Greenhalgh, T.
Venue
BMJ
Publisher
BMJ
Published
1997-07-19
Volume
315
Issue
7101
Pages
180-183
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
OpenAlex
W2023172750
Cited by
229
References
1
FWCI
38.91
Type
journal article
Language
en
Open access
green

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 Medline database. https://app.cochat.ai/papers/10.1136/bmj.315.7101.180
The paper
Greenhalgh, T. (1997). How to read a paper: The Medline database. BMJ. https://doi.org/10.1136/bmj.315.7101.180

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.