Literature DB >> 16488361

New methods give better estimates of changes in diagnostic accuracy when prior information is provided.

Les Irwig1, Petra Macaskill, Stephen D Walter, Nehmat Houssami.   

Abstract

OBJECTIVE: Whether tests such as imaging should be read with or without access to prior clinical information is controversial. Naïve comparisons may suggest that the provision of prior information improves test accuracy, whereas in fact the opposite may be true. This is because provision of clinical background may actually bias test readers to over- or underinterpret relevant test findings, and they may suboptimally integrate the previous and current evidence. We propose comparing the combined accuracy of prior information and a test read (i) with or (ii) without knowledge of prior information. Analysis methods include simple decision rules and logistic regression. STUDY DESIGN AND
SETTING: A study of cancer detection in women presenting with breast symptoms, in whom ultrasound could be read with or without reviewing prior mammography.
RESULTS: Naïve analysis gave an area under the receiver operating characteristics curve (AUC) for ultrasound read with mammography on view that was 4.6% higher (P < .01) than without mammography on view. Our approach, comparing the combined accuracy of mammography and ultrasound read i) with and ii) without knowledge of mammographic findings, showed much smaller differences.
CONCLUSION: Our approach is more appropriate than naïve analyses. The particular choice of analytic method depends on the study size and the diagnostic accuracy of combinations of the prior information and the test reading.

Entities:  

Mesh:

Year:  2006        PMID: 16488361     DOI: 10.1016/j.jclinepi.2005.08.013

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


  6 in total

Review 1.  Systematic review: bias in imaging studies - the effect of manipulating clinical context, recall bias and reporting intensity.

Authors:  Darren Boone; Steve Halligan; Susan Mallett; Stuart A Taylor; Douglas G Altman
Journal:  Eur Radiol       Date:  2011-09-30       Impact factor: 5.315

2.  Inter-observer agreement for abdominal CT in unselected patients with acute abdominal pain.

Authors:  Adrienne van Randen; Wytze Laméris; C Yung Nio; Anje M Spijkerboer; Mark A Meier; Charlotte Tutein Nolthenius; Frank Smithuis; Patrick M Bossuyt; Marja A Boermeester; Jaap Stoker
Journal:  Eur Radiol       Date:  2009-02-21       Impact factor: 5.315

3.  Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings.

Authors:  Elizabeth S Burnside; Jesse Davis; Jagpreet Chhatwal; Oguzhan Alagoz; Mary J Lindstrom; Berta M Geller; Benjamin Littenberg; Katherine A Shaffer; Charles E Kahn; C David Page
Journal:  Radiology       Date:  2009-04-14       Impact factor: 11.105

4.  The impact of clinical data on the evaluation of tibial fracture healing.

Authors:  Bernadette G Dijkman; Jason W Busse; Stephen D Walter; Mohit Bhandari
Journal:  Trials       Date:  2011-11-03       Impact factor: 2.279

5.  Comparison of Breast Cancer Screening Results in Korean Middle-Aged Women: A Hospital-based Prospective Cohort Study.

Authors:  Taebum Lee
Journal:  Osong Public Health Res Perspect       Date:  2013-06-27

6.  Diagnostics in Patients Suspect for Breast Cancer in The Netherlands.

Authors:  Madelon M Voets; Catharina G M Groothuis-Oudshoorn; Liset H J Veneklaas; Srirang Manohar; Mariël Brinkhuis; Jeroen Veltman; Linda de Munck; Lioe-Fee de Geus-Oei; Mireille J M Broeders; Sabine Siesling
Journal:  Curr Oncol       Date:  2021-11-29       Impact factor: 3.677

  6 in total

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