Your browser doesn't support javascript.
loading
Evaluation of adherence to STARD for abstracts in a diverse sample of diagnostic accuracy abstracts published in 2012 and 2019 reveals suboptimal reporting practices.
Dubois, Constance; Dawit, Haben; Korevaar, Daniël A; Vali, Yasaman; Al Sibaaie, Alma; Frank, Robert A; McInnes, Matthew D F; Hyde, Chris; Bossuyt, Patrick M; Cohen, Jérémie F.
Afiliación
  • Dubois C; Center of Research in Epidemiology and Statistics (CRESS), INSERM, Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Université Paris Cité, Paris, France.
  • Dawit H; Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada.
  • Korevaar DA; Department of Respiratory Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
  • Vali Y; Department of Epidemiology and Data Science, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
  • Al Sibaaie A; Department of General Pediatrics and Pediatric Infectious Diseases, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France.
  • Frank RA; Division of Abdominal Imaging and Intervention, Department of Radiology, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
  • McInnes MDF; Clinical Epidemiology Program, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Canada.
  • Hyde C; Exeter Test Group, College House, University of Exeter, Exeter, UK.
  • Bossuyt PM; Department of Epidemiology and Data Science, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
  • Cohen JF; Center of Research in Epidemiology and Statistics (CRESS), INSERM, Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Université Paris Cité, Paris, France; Department of General Pediatrics and Pediatric Infectious Diseases, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux
J Clin Epidemiol ; 173: 111459, 2024 Jul 14.
Article en En | MEDLINE | ID: mdl-39004321
ABSTRACT

OBJECTIVES:

To evaluate the completeness of reporting in a sample of abstracts on diagnostic accuracy studies before and after the release of Standards for Reporting of Diagnostic Accuracy Studies (STARD) for abstracts in 2017.

METHODS:

We included 278 diagnostic accuracy abstracts published in 2012 (N = 138) and 2019 (N = 140) and indexed in EMBASE. We analyzed their adherence to 10 items of the 11-item STARD for abstracts checklist, and we explored variability in reporting across abstract characteristics using multivariable Poisson modeling.

RESULTS:

Most of the 278 abstracts (75%) were published in discipline-specific journals, with a median impact factor of 2.9 (IQR 1.9-3.7). The majority (41%) of abstracts reported on imaging tests. Overall, a mean of 5.4/10 (SD 1.4) STARD for abstracts items was reported (range 1.2-9.7). Items reported in less than one-third of abstracts included 'eligible patient demographics' (24%), 'setting of recruitment' (30%), 'method of enrollment' (18%), 'estimates of precision for accuracy measures' (26%), and 'protocol registration details' (4%). We observed substantial variability in reporting across several abstract characteristics, with higher adherence associated with the use of a structured abstract, no journal limit for abstract word count, abstract word count above the median, one-gate enrollment design, and prospective data collection. There was no evidence of increase in the number of reported items between 2012 and 2019 (5.2 vs 5.5 items; adjusted reporting ratio 1.04 [95% CI 0.98-1.10]).

CONCLUSION:

This sample of diagnostic accuracy abstracts revealed suboptimal reporting practices without improvement between 2012 and 2019. The test evaluation field could benefit from targeted knowledge translation strategies to improve completeness of reporting in abstracts.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Estados Unidos