Literature DB >> 11446150

The application of methods to quantify attributable risk in medical practice.

W Uter1, A Pfahlberg.   

Abstract

Several epidemiological parameters have been introduced for quantifying the population impact of a certain exposure on morbidity on a population level, termed 'attributable risk' (AR). Of these definitions, the AR as suggested by Levin in 1953 or some algebraic transformations of it are most commonly used. A structured literature search, based on the Medline database, identified 334 original epidemiological studies dealing with this AR published between 1966 and 1996 (mostly case-control studies). A considerable increase in the number of published studies incorporating some quantification of the exposure impact on the population level in terms of the AR was observed in the last decade. However, in 64.5% of these studies no exact definition of the AR used was given. Adjustment procedures necessary in multifactorial situations were performed by only 37.5%, confidence intervals for the AR were given by only 19.3% of authors. Thus, although the increasing popularity of this important epidemiological measure is encouraging, its correct application and comprehensive reporting in medical practice should be promoted further.

Mesh:

Year:  2001        PMID: 11446150     DOI: 10.1177/096228020101000305

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  6 in total

1.  Explanation and Elaboration Document for the STROBE-Vet Statement: Strengthening the Reporting of Observational Studies in Epidemiology-Veterinary Extension.

Authors:  A M O'Connor; J M Sargeant; I R Dohoo; H N Erb; M Cevallos; M Egger; A K Ersbøll; S W Martin; L R Nielsen; D L Pearl; D U Pfeiffer; J Sanchez; M E Torrence; H Vigre; C Waldner; M P Ward
Journal:  J Vet Intern Med       Date:  2016-11-07       Impact factor: 3.333

2.  Reducing health disparity in Taiwan: quantifying the role of smoking.

Authors:  T Y Cheng; C P Wen; S P Tsai; W S I Chung; C C Hsu
Journal:  Tob Control       Date:  2005-06       Impact factor: 7.552

Review 3.  Estimating population attributable fractions to quantify the health burden of obesity.

Authors:  Katherine M Flegal; Orestis A Panagiotou; Barry I Graubard
Journal:  Ann Epidemiol       Date:  2014-11-13       Impact factor: 3.797

4.  Survival attributable to an exposure.

Authors:  Christopher Cox; Haitao Chu; Alvaro Muñoz
Journal:  Stat Med       Date:  2009-11-20       Impact factor: 2.373

Review 5.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration.

Authors:  Jan P Vandenbroucke; Erik von Elm; Douglas G Altman; Peter C Gøtzsche; Cynthia D Mulrow; Stuart J Pocock; Charles Poole; James J Schlesselman; Matthias Egger
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

6.  Comparative quantification of health risks conceptual framework and methodological issues.

Authors:  Christopher JL Murray; Majid Ezzati; Alan D Lopez; Anthony Rodgers; Stephen Vander Hoorn
Journal:  Popul Health Metr       Date:  2003-04-14
  6 in total

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