Literature DB >> 12809421

Toward 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

RATIONALE AND
OBJECTIVES: To comprehend the results of diagnostic accuracy studies, readers must understand the design, conduct, and analysis of such studies. The authors sought to develop guidelines for improving the accuracy and completeness of reporting of studies of diagnostic accuracy in order to allow readers better to assess the validity and generalizability of study results.
MATERIALS AND METHODS: The Standards for Reporting of Diagnostic Accuracy group steering committee searched the literature to identify publications on the appropriate conduct and reporting of diagnostic studies and to extract potential guidelines for authors and editors. An extensive list of items was prepared. Members of the steering committee then met for 2 days with other researchers, editors, methodologists, statisticians, and members of professional organizations to develop a checklist and a prototypical flowchart to guide authors and editors of studies of diagnostic accuracy.
RESULTS: The search for published guidelines on diagnostic research yielded 33 previously published checklists, from which the group produced an initial list of 75 items. This list was honed to 25 key items by group consensus and on the basis of published research on bias. A prototypical flowchart was developed as a tool for conveying information about the method of patient recruitment, the order of test execution, and the numbers of patients undergoing the test under evaluation, the reference test, or both. Potential users reviewed the conference version of the checklist and flowchart and provided additional suggestions, which were then incorporated.
CONCLUSION: Use of these carefully developed, consensus-based guidelines should enable clearer and more complete reporting of studies of diagnostic accuracy, as well as better reader understanding of the validity and generalizability of study results.

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Mesh:

Year:  2003        PMID: 12809421     DOI: 10.1016/s1076-6332(03)80086-7

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  15 in total

1.  Diagnostic accuracy and association to disability of clinical test findings associated with patellofemoral pain syndrome.

Authors:  Chad Cook; Eric Hegedus; Richard Hawkins; Field Scovell; Doug Wyland
Journal:  Physiother Can       Date:  2010-02-22       Impact factor: 1.037

2.  Case finding of lifestyle and mental health disorders in primary care: validation of the 'CHAT' tool.

Authors:  Felicity Goodyear-Smith; Nicole M Coupe; Bruce Arroll; C Raina Elley; Sean Sullivan; Anne-Thea McGill
Journal:  Br J Gen Pract       Date:  2008-01       Impact factor: 5.386

3.  Diagnostic Efficiency of the Child and Adolescent Symptom Inventory (CASI-4R) Depression Subscale for Identifying Youth Mood Disorders.

Authors:  Stephanie Salcedo; Yen-Ling Chen; Eric A Youngstrom; Mary A Fristad; Kenneth D Gadow; Sarah M Horwitz; Thomas W Frazier; L Eugene Arnold; Mary L Phillips; Boris Birmaher; Robert A Kowatch; Robert L Findling
Journal:  J Clin Child Adolesc Psychol       Date:  2017-03-02

4.  Dynamic contrast-enhanced MRI improves accuracy for detecting focal splenic involvement in children and adolescents with Hodgkin disease.

Authors:  Shonit Punwani; King Kenneth Cheung; Nicholas Skipper; Nichola Bell; Alan Bainbridge; Stuart A Taylor; Ashley M Groves; Sharon F Hain; Simona Ben-Haim; Ananth Shankar; Stephen Daw; Steve Halligan; Paul D Humphries
Journal:  Pediatr Radiol       Date:  2013-02-03

Review 5.  Methylated circulating tumor DNA as a biomarker for colorectal cancer diagnosis, prognosis, and prediction.

Authors:  Farah J Nassar; Zahraa S Msheik; Rihab R Nasr; Sally N Temraz
Journal:  Clin Epigenetics       Date:  2021-05-17       Impact factor: 6.551

6.  A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients.

Authors:  Jianchao Ma; Yujun Deng; Haiyan Lao; Xin Ouyang; Silin Liang; Yifan Wang; Fen Yao; Yiyu Deng; Chunbo Chen
Journal:  BMC Nephrol       Date:  2021-05-13       Impact factor: 2.388

7.  Urinary Tissue Inhibitor of Metalloproteinase-2 and Insulin-Like Growth Factor-Binding Protein 7 for Risk Stratification of Acute Kidney Injury in Patients With Sepsis.

Authors:  Patrick M Honore; H Bryant Nguyen; Michelle Gong; Lakhmir S Chawla; Sean M Bagshaw; Antonio Artigas; Jing Shi; Olivier Joannes-Boyau; Jean-Louis Vincent; John A Kellum
Journal:  Crit Care Med       Date:  2016-10       Impact factor: 7.598

8.  Evaluation of clinically available renal biomarkers in critically ill adults: a prospective multicenter observational study.

Authors:  Yujun Deng; Ruibin Chi; Shenglong Chen; Heng Ye; Jie Yuan; Lin Wang; Yiling Zhai; Lu Gao; Danqing Zhang; Linhui Hu; Bo Lv; Yi Long; Cheng Sun; Xiaobing Yang; Xia Zou; Chunbo Chen
Journal:  Crit Care       Date:  2017-03-07       Impact factor: 9.097

9.  How to evaluate a manuscript for publication?

Authors:  Kamran Rostami; Kayvan Khadjooi; Randa Abasaeed-Elhag; Sauid Ishaq
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2011

10.  TIMP2•IGFBP7 biomarker panel accurately predicts acute kidney injury in high-risk surgical patients.

Authors:  Kyle J Gunnerson; Andrew D Shaw; Lakhmir S Chawla; Azra Bihorac; Ali Al-Khafaji; Kianoush Kashani; Matthew Lissauer; Jing Shi; Michael G Walker; John A Kellum
Journal:  J Trauma Acute Care Surg       Date:  2016-02       Impact factor: 3.313

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