Literature DB >> 15613512

Understanding measures of treatment effect in clinical trials.

A K Akobeng1.   

Abstract

Evidence based medicine implies that healthcare professionals are expected to base their practice on the best available evidence. This means that we should acquire the necessary skills for appraising the medical literature, including the ability to understand and interpret the results of published articles. This article discusses in a simple, practical, 'non-statistician' fashion some of the important outcome measures used to report clinical trials comparing different treatments or interventions. Absolute and relative risk measures are explained, and their merits and demerits discussed. The article aims to encourage healthcare professionals to appreciate the use and misuse of these outcome measures and to empower them to calculate these measures themselves when, as is frequently the case, the authors of some original articles fail to present their results in a more clinically friendly format.

Mesh:

Year:  2005        PMID: 15613512      PMCID: PMC1720064          DOI: 10.1136/adc.2004.052233

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  2 in total

Review 1.  Confidence intervals for the number needed to treat.

Authors:  D G Altman
Journal:  BMJ       Date:  1998-11-07

2.  A randomized comparison of patients' understanding of number needed to treat and other common risk reduction formats.

Authors:  Stacey L Sheridan; Michael P Pignone; Carmen L Lewis
Journal:  J Gen Intern Med       Date:  2003-11       Impact factor: 5.128

  2 in total
  13 in total

Review 1.  Randomized controlled trials and neuro-oncology: should alternative designs be considered?

Authors:  Alireza Mansouri; Samuel Shin; Benjamin Cooper; Archita Srivastava; Mohit Bhandari; Douglas Kondziolka
Journal:  J Neurooncol       Date:  2015-08-22       Impact factor: 4.130

2.  Evidence in practice.

Authors:  A K Akobeng
Journal:  Arch Dis Child       Date:  2005-08       Impact factor: 3.791

3.  THE GAP BETWEEN RESEARCH AND CLINICAL PRACTICE FOR INJURY PREVENTION IN ELITE SPORT: A CLINICAL COMMENTARY.

Authors:  Steven Short; Matthew Tuttle
Journal:  Int J Sports Phys Ther       Date:  2020-12

4.  Alternatives to Logistic Regression Models when Analyzing Cluster Randomized Trials with Binary Outcomes.

Authors:  Francis L Huang
Journal:  Prev Sci       Date:  2021-04-06

5.  Does vitamin D improve osteoarthritis of the knee: a randomized controlled pilot trial.

Authors:  Divya Sanghi; Abhishek Mishra; Amar Chandra Sharma; Ajai Singh; S M Natu; Sarita Agarwal; Rajeshwar Nath Srivastava
Journal:  Clin Orthop Relat Res       Date:  2013-08-01       Impact factor: 4.176

Review 6.  Perspectives on the 2 × 2 Matrix: Solving Semantically Distinct Problems Based on a Shared Structure of Binary Contingencies.

Authors:  Hansjörg Neth; Nico Gradwohl; Dirk Streeb; Daniel A Keim; Wolfgang Gaissmaier
Journal:  Front Psychol       Date:  2021-02-09

Review 7.  Does the Naked Emperor Parable Apply to Current Perceptions of the Contribution of Renin Angiotensin System Inhibition in Hypertension?

Authors:  Carlos M Ferrario; Amit Saha; Jessica L VonCannon; Wayne J Meredith; Sarfaraz Ahmad
Journal:  Curr Hypertens Rep       Date:  2022-10-22       Impact factor: 4.592

8.  Alignment between outcomes and minimal clinically important differences in the Dutch type 2 diabetes mellitus guideline and healthcare professionals' preferences.

Authors:  Marloes Dankers; Marjorie H J M G Nelissen-Vrancken; Bertien H Hart; Anke C Lambooij; Liset van Dijk; Aukje K Mantel-Teeuwisse
Journal:  Pharmacol Res Perspect       Date:  2021-05

9.  Developing evidence-based dentistry skills: how to interpret randomized clinical trials and systematic reviews.

Authors:  Juliana Kiriakou; Nikolaos Pandis; Phoebus Madianos; Argy Polychronopoulou
Journal:  Prog Orthod       Date:  2014-10-30       Impact factor: 2.750

10.  Common pitfalls in statistical analysis: Absolute risk reduction, relative risk reduction, and number needed to treat.

Authors:  Priya Ranganathan; C S Pramesh; Rakesh Aggarwal
Journal:  Perspect Clin Res       Date:  2016 Jan-Mar
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.