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Cited by 391

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

An evidence based approach to individualising treatment

Open access
Glasziou, Paul P, Irwig, Les M·1995·BMJ
DOI 10.1136/bmj.311.7016.1356
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Abstract

To which groups of patients can the results of clinical trials be applied? This question is often inappropriately answered by reference to the trial entry criteria. Instead, the benefit and harm (adverse events, discomfort of treatment, etc) of treatment could be assessed separately for individual patients. Patients at greatest risk of a disease will have the greatest net benefit as benefit to patients usually increases with risk while harm remains comparatively fixed. To assess net benefit, the relative risks should come from (a meta-analysis of) randomised trials; the risk in individual patients should come from multivariate risk equations derived from cohort studies. However, before making firm conclusions, the assumptions of fixed adverse effects and constant reduction in relative risk need to be checked.

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Metadata

Authors
Glasziou, P. P., & Irwig, L. M.
Venue
BMJ
Publisher
BMJ
Published
1995-11-18
Volume
311
Issue
7016
Pages
1356-1359
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
DOI
10.1136/bmj.311.7016.1356
OpenAlex
W2007689247
Cited by
391
References
4
FWCI
19.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An evidence based approach to individualising treatment. https://app.cochat.ai/papers/10.1136/bmj.311.7016.1356
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Glasziou, P. P., & Irwig, L. M. (1995). An evidence based approach to individualising treatment. BMJ. https://doi.org/10.1136/bmj.311.7016.1356

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.