Literature DB >> 22151233

The assessment of the quality of reporting of meta-analyses in diagnostic research: a systematic review.

Brian H Willis1, Muireann Quigley.   

Abstract

BACKGROUND: Over the last decade there have been a number of guidelines published, aimed at improving the quality of reporting in published studies and reviews. In systematic reviews this may be measured by their compliance with the PRISMA statement. This review aims to evaluate the quality of reporting in published meta-analyses of diagnostic tests, using the PRISMA statement and establish whether there has been a measurable improvement over time.
METHODS: Eight databases were searched for reviews published prior to 31(st) December 2008. Studies were selected if they evaluated a diagnostic test, measured performance, searched two or more databases, stated the search terms and inclusion criteria, and used a statistical method to summarise a test's performance. Data were extracted on the review characteristics and items of the PRISMA statement. To measure the change in the quality of reporting over time, PRISMA items for two periods of equal duration were compared.
RESULTS: Compliance with the PRISMA statement was generally poor: none of the reviews completely adhered to all 27 checklist items. Of the 236 meta-analyses included following selection: only 2(1%) reported the study protocol; 59(25%) reported the searches used; 76(32%) reported the results of a risk of bias assessment; and 82(35%) reported the abstract as a structured summary. Only 11 studies were published before 2000. Thus, the impact of QUOROM on the quality of reporting was not evaluated. However, the periods 2001-2004 and 2005-2008 (covering 93% of studies) were compared using relative risks (RR). There was an increase in the proportion of reviews reporting on five PRISMA items: eligibility criteria (RR 1.13, 95% CI 1.00 - 1.27); risk of bias across studies (methods) (RR 1.81, 95% CI 1.34 - 2.44); study selection results (RR 1.48, 95% CI 1.05 - 2.09); results of individual studies (RR 1.37, 95% CI 1.09 - 1.72); risk of bias across studies (results) (RR 1.65, 95% CI 1.20 - 2.25).
CONCLUSION: Although there has been an improvement in the quality of meta-analyses in diagnostic research, there are still many deficiencies in the reporting which future reviewers need to address if readers are to trust the validity of the reported findings.

Entities:  

Mesh:

Year:  2011        PMID: 22151233      PMCID: PMC3258221          DOI: 10.1186/1471-2288-11-163

Source DB:  PubMed          Journal:  BMC Med Res Methodol        ISSN: 1471-2288            Impact factor:   4.615


  24 in total

Review 1.  Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement. Quality of Reporting of Meta-analyses.

Authors:  D Moher; D J Cook; S Eastwood; I Olkin; D Rennie; D F Stroup
Journal:  Lancet       Date:  1999-11-27       Impact factor: 79.321

2.  A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations.

Authors:  C M Rutter; C A Gatsonis
Journal:  Stat Med       Date:  2001-10-15       Impact factor: 2.373

3.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

4.  Bad reporting does not mean bad methods for randomised trials: observational study of randomised controlled trials performed by the Radiation Therapy Oncology Group.

Authors:  Heloisa P Soares; Stephanie Daniels; Ambuj Kumar; Mike Clarke; Charles Scott; Suzanne Swann; Benjamin Djulbegovic
Journal:  BMJ       Date:  2004-01-03

5.  Health technology assessment: history and demand.

Authors:  Andrew Stevens; Ruairidh Milne; Amanda Burls
Journal:  J Public Health Med       Date:  2003-06

Review 6.  Development and validation of methods for assessing the quality of diagnostic accuracy studies.

Authors:  P Whiting; A W S Rutjes; J Dinnes; J Reitsma; P M M Bossuyt; J Kleijnen
Journal:  Health Technol Assess       Date:  2004-06       Impact factor: 4.014

7.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

Review 8.  Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les M Irwig; Jeroen G Lijmer; David Moher; Drummond Rennie; Henrica C W de Vet
Journal:  BMJ       Date:  2003-01-04

Review 9.  Uptake of newer methodological developments and the deployment of meta-analysis in diagnostic test research: a systematic review.

Authors:  Brian H Willis; Muireann Quigley
Journal:  BMC Med Res Methodol       Date:  2011-03-14       Impact factor: 4.615

10.  Conducting systematic reviews of diagnostic studies: didactic guidelines.

Authors:  Walter L Devillé; Frank Buntinx; Lex M Bouter; Victor M Montori; Henrica C W de Vet; Danielle A W M van der Windt; P Dick Bezemer
Journal:  BMC Med Res Methodol       Date:  2002-07-03       Impact factor: 4.615

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  21 in total

1.  Impact of librarians on reporting of the literature searching component of pediatric systematic reviews.

Authors:  Deborah Meert; Nazi Torabi; John Costella
Journal:  J Med Libr Assoc       Date:  2016-10

2.  The Aarhus statement: improving design and reporting of studies on early cancer diagnosis.

Authors:  D Weller; P Vedsted; G Rubin; F M Walter; J Emery; S Scott; C Campbell; R S Andersen; W Hamilton; F Olesen; P Rose; S Nafees; E van Rijswijk; S Hiom; C Muth; M Beyer; R D Neal
Journal:  Br J Cancer       Date:  2012-03-13       Impact factor: 7.640

3.  Quality assessment and factor analysis of systematic reviews and meta-analyses of endoscopic ultrasound diagnosis.

Authors:  Danlu Liu; Jiaxin Jin; Jinhui Tian; Kehu Yang
Journal:  PLoS One       Date:  2015-04-23       Impact factor: 3.240

4.  Quality of reporting of systematic reviews published in "evidence-based" Chinese journals.

Authors:  Jin-Long Li; Long Ge; Ji-Chun Ma; Qiao-Ling Zeng; Lu Yao; Ni An; Jie-Xian Ding; Yu-Hong Gan; Jin-Hui Tian
Journal:  Syst Rev       Date:  2014-06-07

5.  Blinded by PRISMA: are systematic reviewers focusing on PRISMA and ignoring other guidelines?

Authors:  Padhraig S Fleming; Despina Koletsi; Nikolaos Pandis
Journal:  PLoS One       Date:  2014-05-01       Impact factor: 3.240

Review 6.  Reporting quality of systematic reviews/meta-analyses of acupuncture.

Authors:  Yali Liu; Rui Zhang; Jiao Huang; Xu Zhao; Danlu Liu; Wanting Sun; Yuefen Mai; Peng Zhang; Yajun Wang; Hua Cao; Ke hu Yang
Journal:  PLoS One       Date:  2014-11-14       Impact factor: 3.240

7.  A systematic scoping review of adherence to reporting guidelines in health care literature.

Authors:  Zainab Samaan; Lawrence Mbuagbaw; Daisy Kosa; Victoria Borg Debono; Rejane Dillenburg; Shiyuan Zhang; Vincent Fruci; Brittany Dennis; Monica Bawor; Lehana Thabane
Journal:  J Multidiscip Healthc       Date:  2013-05-06

Review 8.  Incomplete reporting of baseline characteristics in clinical trials: an analysis of randomized controlled trials and systematic reviews involving patients with chronic low back pain.

Authors:  Maria M Wertli; Manuela Schöb; Florian Brunner; Johann Steurer
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

9.  The assessment of the quality of reporting of systematic reviews/meta-analyses in diagnostic tests published by authors in China.

Authors:  Long Ge; Jian-Cheng Wang; Jin-Long Li; Li Liang; Ni An; Xin-Tong Shi; Yin-Chun Liu; Jin-Hui Tian
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

Review 10.  The Diagnostic Value of Gastrin-17 Detection in Atrophic Gastritis: A Meta-Analysis.

Authors:  Xu Wang; Li Ling; Shanshan Li; Guiping Qin; Wei Cui; Xiang Li; Hong Ni
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

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