Literature DB >> 15939227

High prevalence but low impact of data extraction and reporting errors were found in Cochrane systematic reviews.

Ashley P Jones1, Tracey Remmington, Paula R Williamson, Deborah Ashby, Rosalind L Smyth.   

Abstract

BACKGROUND AND
OBJECTIVE: Extracting data from primary articles is an essential component in conducting systematic reviews. Incorrect data extraction can lead to false conclusions. The objective of this study was to retrospectively repeat the data extraction in all systematic reviews conducted by the Cochrane Cystic Fibrosis and Genetic Disorders Group. STUDY DESIGN AND
SETTING: For each review, data extraction was conducted, by an experienced statistician, for the same publications used by the reviewers. Results were compared with those obtained by the reviewers.
RESULTS: Errors were found in 20 of 34 reviews, including incorrect calculations made when converting data in primary articles into data required for the review (2 reviews) and misinterpretation of data that were reported in the primary article (7 reviews). All data-handling errors led to changes in the summary results, but none of these affected the review conclusions.
CONCLUSIONS: Important errors were identified in a high proportion of reviews. A variety of problems relating to the reporting of results within a review were identified, but these did not lead to substantial changes in any conclusion.

Entities:  

Mesh:

Year:  2005        PMID: 15939227     DOI: 10.1016/j.jclinepi.2004.11.024

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  29 in total

1.  What comparative effectiveness research is needed? A framework for using guidelines and systematic reviews to identify evidence gaps and research priorities.

Authors:  Tianjing Li; S Swaroop Vedula; Roberta Scherer; Kay Dickersin
Journal:  Ann Intern Med       Date:  2012-03-06       Impact factor: 25.391

2.  Extractive text summarization system to aid data extraction from full text in systematic review development.

Authors:  Duy Duc An Bui; Guilherme Del Fiol; John F Hurdle; Siddhartha Jonnalagadda
Journal:  J Biomed Inform       Date:  2016-10-27       Impact factor: 6.317

Review 3.  Rehabilitation following rotator cuff repair: a systematic review.

Authors:  Chris Littlewood; Marcus Bateman; David Clark; James Selfe; Duncan Watkinson; Mike Walton; Lennard Funk
Journal:  Shoulder Elbow       Date:  2015-01-29

4.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  BMJ       Date:  2009-07-21

5.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

6.  Automatic extraction of quantitative data from ClinicalTrials.gov to conduct meta-analyses.

Authors:  Richeek Pradhan; David C Hoaglin; Matthew Cornell; Weisong Liu; Victoria Wang; Hong Yu
Journal:  J Clin Epidemiol       Date:  2018-09-23       Impact factor: 6.437

7.  PDF text classification to leverage information extraction from publication reports.

Authors:  Duy Duc An Bui; Guilherme Del Fiol; Siddhartha Jonnalagadda
Journal:  J Biomed Inform       Date:  2016-04-01       Impact factor: 6.317

8.  Features and functioning of Data Abstraction Assistant, a software application for data abstraction during systematic reviews.

Authors:  Jens Jap; Ian J Saldanha; Bryant T Smith; Joseph Lau; Christopher H Schmid; Tianjing Li
Journal:  Res Synth Methods       Date:  2018-11-19       Impact factor: 5.273

9.  Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study.

Authors:  Dena Zeraatkar; Arrti Bhasin; Rita E Morassut; Isabella Churchill; Arnav Gupta; Daeria O Lawson; Anna Miroshnychenko; Emily Sirotich; Komal Aryal; David Mikhail; Tauseef A Khan; Vanessa Ha; John L Sievenpiper; Steven E Hanna; Joseph Beyene; Russell J de Souza
Journal:  Am J Clin Nutr       Date:  2021-06-01       Impact factor: 7.045

10.  Disagreements in meta-analyses using outcomes measured on continuous or rating scales: observer agreement study.

Authors:  Britta Tendal; Julian P T Higgins; Peter Jüni; Asbjørn Hróbjartsson; Sven Trelle; Eveline Nüesch; Simon Wandel; Anders W Jørgensen; Katarina Gesser; Søren Ilsøe-Kristensen; Peter C Gøtzsche
Journal:  BMJ       Date:  2009-08-13
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