Literature DB >> 7496291

An evidence based approach to individualising treatment.

P P Glasziou1, L M Irwig.   

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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Year:  1995        PMID: 7496291      PMCID: PMC2551234          DOI: 10.1136/bmj.311.7016.1356

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  13 in total

1.  An effect model for the assessment of drug benefit: example of antiarrhythmic drugs in postmyocardial infarction patients.

Authors:  J P Boissel; J P Collet; M Lievre; P Girard
Journal:  J Cardiovasc Pharmacol       Date:  1993-09       Impact factor: 3.105

2.  Quantitative methods in the review of epidemiologic literature.

Authors:  S Greenland
Journal:  Epidemiol Rev       Date:  1987       Impact factor: 6.222

3.  An assessment of clinically useful measures of the consequences of treatment.

Authors:  A Laupacis; D L Sackett; R S Roberts
Journal:  N Engl J Med       Date:  1988-06-30       Impact factor: 91.245

4.  Who benefits from medical interventions?

Authors:  G D Smith; M Egger
Journal:  BMJ       Date:  1994-01-08

5.  Demonstration of deductive meta-analysis: ethanol intake and risk of myocardial infarction.

Authors:  M Maclure
Journal:  Epidemiol Rev       Date:  1993       Impact factor: 6.222

6.  Users' guides to the medical literature. V. How to use an article about prognosis. Evidence-Based Medicine Working Group.

Authors:  A Laupacis; G Wells; W S Richardson; P Tugwell
Journal:  JAMA       Date:  1994-07-20       Impact factor: 56.272

7.  The toss-up.

Authors:  J P Kassirer; S G Pauker
Journal:  N Engl J Med       Date:  1981-12-10       Impact factor: 91.245

8.  Quality of life six months after myocardial infarction treated with thrombolytic therapy. AUS-TASK Group. Australian arm of International tPA/SK Mortality Trial.

Authors:  P P Glasziou; S Bromwich; R J Simes
Journal:  Med J Aust       Date:  1994-11-07       Impact factor: 7.738

9.  Overview of the randomized trials to prevent stroke in atrial fibrillation.

Authors:  D E Singer
Journal:  Ann Epidemiol       Date:  1993-09       Impact factor: 3.797

Review 10.  Anticoagulant-related bleeding: clinical epidemiology, prediction, and prevention.

Authors:  C S Landefeld; R J Beyth
Journal:  Am J Med       Date:  1993-09       Impact factor: 4.965

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  89 in total

Review 1.  Methods in health services research. Interpreting the evidence: choosing between randomised and non-randomised studies.

Authors:  M McKee; A Britton; N Black; K McPherson; C Sanderson; C Bain
Journal:  BMJ       Date:  1999-07-31

2.  How to assess new treatments.

Authors:  R Slinger; D Moher
Journal:  West J Med       Date:  2001-03

3.  Using clinical evidence.

Authors:  S Barton
Journal:  BMJ       Date:  2001-03-03

Review 4.  Systematic reviews in health care: Investigating and dealing with publication and other biases in meta-analysis.

Authors:  J A Sterne; M Egger; G D Smith
Journal:  BMJ       Date:  2001-07-14

Review 5.  Improving safety reporting from randomised trials.

Authors:  John P A Ioannidis; Joseph Lau
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

6.  Reduction of postoperative mortality and morbidity. Little information was given on inclusion criteria.

Authors:  T J McCulloch; J A Loadsman
Journal:  BMJ       Date:  2001-05-12

7.  Generalisability of randomised controlled trials: a matter of discussion.

Authors:  Nicola Petrucci
Journal:  Intensive Care Med       Date:  2003-03-27       Impact factor: 17.440

8.  Impact numbers in health policy decisions.

Authors:  J Attia; J Page; R F Heller; A J Dobson
Journal:  J Epidemiol Community Health       Date:  2002-08       Impact factor: 3.710

Review 9.  Cardiovascular and coronary risk estimation in hypertension management.

Authors:  Erica J Wallis; Lawrence E Ramsay; Peter R Jackson
Journal:  Heart       Date:  2002-09       Impact factor: 5.994

Review 10.  Assessing the quality of research.

Authors:  Paul Glasziou; Jan P Vandenbroucke; Iain Chalmers
Journal:  BMJ       Date:  2004-01-03
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