Literature DB >> 14760036

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

Patrick M Bossuyt1, 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.   

Abstract

OBJECTIVE: Our aim was to improve the accuracy and completeness of reporting of studies of diagnostic accuracy in order to allow readers to assess the potential for bias in a study and to evaluate the generalizability of its results.
METHODS: The Standards for Reporting of Diagnostic Accuracy (STARD) steering committee searched the literature to identify publications on the appropriate conduct and reporting of diagnostic studies and extracted potential items into an extensive list. Researchers, editors and members of professional organizations shortened this list during a 2-day consensus meeting with the goal of developing a checklist and a generic flow diagram for studies of diagnostic accuracy.
RESULTS: The search for published guidelines about diagnostic research yielded 33 previously published checklists, from which we extracted a list of 75 potential items. At the consensus meeting, participants shortened the list to a 25-item checklist, by using evidence whenever available. A prototype of a flow diagram provides information about the method of recruitment of patients, the order of test execution and the numbers of patients undergoing the test under evaluation and/or the reference standard.
CONCLUSIONS: Evaluation of research depends on complete and accurate reporting. If medical journals adopt the checklist and the flow diagram, the quality of reporting of studies of diagnostic accuracy should improve, to the advantage of clinicians, researchers, reviewers, journals and the public.

Entities:  

Mesh:

Year:  2004        PMID: 14760036     DOI: 10.1093/fampra/cmh103

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  71 in total

1.  Achieving high research reporting quality through the use of computational ontologies.

Authors:  Amrapali Zaveri; Luciana Cofiel; Jatin Shah; Shreyasee Pradhan; Edwin Chan; Olivier Dameron; Ricardo Pietrobon; Beng Ti Ang
Journal:  Neuroinformatics       Date:  2010-12

2.  Measuring Estrogen Exposure and Metabolism: Workshop Recommendations on Clinical Issues.

Authors:  L M Demers; S E Hankinson; S Haymond; T Key; W Rosner; R J Santen; F Z Stanczyk; H W Vesper; R G Ziegler
Journal:  J Clin Endocrinol Metab       Date:  2015-04-07       Impact factor: 5.958

Review 3.  Evidence based diagnostics.

Authors:  Christian Gluud; Lise Lotte Gluud
Journal:  BMJ       Date:  2005-03-26

4.  Creation and Critique of Studies of Diagnostic Accuracy: Use of the STARD and QUADAS Methodological Quality Assessment Tools.

Authors:  Chad Cook; Joshua Cleland; Peter Huijbregts
Journal:  J Man Manip Ther       Date:  2007

5.  Quality of reporting of diagnostic accuracy studies: no change since STARD statement publication--before-and-after study.

Authors:  Nancy L Wilczynski
Journal:  Radiology       Date:  2008-09       Impact factor: 11.105

6.  Diagnosing depression.

Authors:  Kaj Sparle Christensen; Per Fink
Journal:  Br J Gen Pract       Date:  2007-10       Impact factor: 5.386

7.  [Original scientific articles: conception, accomplishment and publication].

Authors:  R Rossaint; B Zwissler
Journal:  Anaesthesist       Date:  2011-01       Impact factor: 1.041

8.  Aspergillus PCR: one step closer to standardization.

Authors:  P Lewis White; Stéphane Bretagne; Lena Klingspor; Willem J G Melchers; Elaine McCulloch; Bettina Schulz; Niklas Finnstrom; Carlo Mengoli; Rosemary A Barnes; J Peter Donnelly; Juergen Loeffler
Journal:  J Clin Microbiol       Date:  2010-02-10       Impact factor: 5.948

9.  A candidate molecular biomarker panel for the detection of bladder cancer.

Authors:  Virginia Urquidi; Steve Goodison; Yunpeng Cai; Yijun Sun; Charles J Rosser
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-24       Impact factor: 4.254

10.  The diagnostic value of macrophage migration inhibitory factor (MIF) in gastric cancer.

Authors:  Hakan Camlica; Derya Duranyildiz; Hilal Oguz; Ethem Nezih Oral; Vildan Yasasever
Journal:  Pathol Oncol Res       Date:  2008-03-18       Impact factor: 3.201

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