Literature DB >> 22862884

How to generalize efficacy results of randomized trials: recommendations based on a systematic review of possible approaches.

Piet N Post1, Hans de Beer, Gordon H Guyatt.   

Abstract

RATIONALE, AIMS AND
OBJECTIVES: Randomized controlled trials (RCTs) are the preferred source for evidence for the effect of treatment. However, patients participating in RCTs often manifest important differences from patients seen in practice. Therefore, guideline developers have to decide whether the results are generalizable to the target population not represented in RCTs.
METHOD: A systematic review of the literature was undertaken to identify methods to decide whether to generalize the results from RCTs to patients who were not represented in these trials.
RESULTS: One approach is to examine the in- and exclusion criteria of trials and infer from these whether the trial population was sufficiently representative. Other authors suggest, because of the inclusion of a broader range of patients, reliance on observational studies if no direct evidence for the target population is available. Another approach is to apply the relative effect of treatment found in trials to patients in practice unless there is a compelling reason to believe the results would differ substantially as a function of particular characteristics of those patients. Although there are exceptions, this approach is supported by empirical evidence that, in general, relative effect of treatment on benefit outcomes seldom differs to an important extent across subgroups of patients.
CONCLUSION: We propose this last approach: focusing on RCTs unless there is a compelling reason not to do so. Compelling reasons will most often be found with respect to issues of rare adverse effects, for which observational studies are likely to provide the best estimates.
© 2012 John Wiley & Sons Ltd.

Entities:  

Keywords:  applicability; external validity; generalizability; guidelines; randomized controlled trials

Mesh:

Year:  2012        PMID: 22862884     DOI: 10.1111/j.1365-2753.2012.01888.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  5 in total

1.  Self-matched learning to construct treatment decision rules from electronic health records.

Authors:  Tianchen Xu; Yuan Chen; Donglin Zeng; Yuanjia Wang
Journal:  Stat Med       Date:  2022-05-05       Impact factor: 2.497

2.  Medication monitoring in a nurse-led respiratory outpatient clinic: pragmatic randomised trial of the West Wales Adverse Drug Reaction Profile.

Authors:  Marie E Gabe; Fiona Murphy; Gwyneth A Davies; Ian T Russell; Susan Jordan
Journal:  PLoS One       Date:  2014-05-05       Impact factor: 3.240

3.  Radical Gastrectomy: Still the Cornerstone of Curative Treatment for Gastric Cancer in the Perioperative Chemotherapy Era-A Single Institute Experience over a Decade.

Authors:  Harsh Kanhere; Raghav Goel; Ben Finlay; Markus Trochsler; Guy Maddern
Journal:  Int J Surg Oncol       Date:  2018-01-14

4.  Esketamine for treatment resistant depression: a trick of smoke and mirrors?

Authors:  C Gastaldon; D Papola; G Ostuzzi; C Barbui
Journal:  Epidemiol Psychiatr Sci       Date:  2019-12-16       Impact factor: 6.892

5.  What's more general than a whole population?

Authors:  Neal Alexander
Journal:  Emerg Themes Epidemiol       Date:  2015-08-25
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.