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Cited by 579

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Determining Optimal Therapy — Randomized Trials in Individual Patients

Guyatt, Gordon, Sackett, David, Taylor, D. Wayne, Ghong, John, Roberts, Robin, Pugsley, Stewart·1986·New England Journal of Medicine

Abstract

Although the treatment of an individual patient in routine clinical practice has been likened to an experiment, the method is so susceptible to bias that we have come to demand multi-patient, double-blind, randomized controlled trials on matters of efficacy. Unfortunately, such trials have not or cannot be carried out for many clinical disorders; even when they have been executed their results may be difficult to extrapolate to individual patients. To resolve this problem, we have begun to use double-blind randomized trials in which a single patient undergoes a series of pairs of treatments, consisting of one active and one placebo or alternative treatment per pair, with the order determined by random allocation. Appropriate treatment targets (signs, symptoms, or laboratory tests) are used as the measure of efficacy, and the trial is continued until efficacy is established or disproved. We describe such a trial, which resulted in a dramatically beneficial modification of treatment in a patient with partially reversible airflow limitation. We have established a clinical service that facilitates the widespread use of the method in our community.

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Metadata

Authors
Guyatt, G., Sackett, D., Taylor, D. W., Ghong, J., Roberts, R., & Pugsley, S.
Venue
New England Journal of Medicine
Published
1986-04-03
Volume
314
Issue
14
Pages
889-892
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2400374725
Cited by
579
References
0
FWCI
29.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Determining Optimal Therapy — Randomized Trials in Individual Patients. https://app.cochat.ai/papers/10.1056/nejm198604033141406
The paper
Guyatt, G., Sackett, D., Taylor, D. W., Ghong, J., Roberts, R., & Pugsley, S. (1986). Determining Optimal Therapy — Randomized Trials in Individual Patients. New England Journal of Medicine. https://doi.org/10.1056/nejm198604033141406

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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.