Literature DB >> 15467063

Accuracy of diagnostic tests read with and without clinical information: a systematic review.

Clement T Loy1, Les Irwig.   

Abstract

CONTEXT: Although it is common practice to read tests with clinical information, whether this improves or decreases the accuracy of test reading is uncertain.
OBJECTIVE: To determine whether diagnostic tests are more accurate when read with clinical information or without it. DATA SOURCES: MEDLINE search (1966-December 2003) extended by search of reference lists and articles citing the articles retrieved (Web of Science, 1985-December 2003). STUDY SELECTION: All articles comparing the accuracy of tests read twice by the same readers, once without and once with clinical information, but otherwise under identical conditions. Only articles that reported sensitivity and specificity or receiver operating characteristic (ROC) curves were included. DATA EXTRACTION: Data were extracted by one author and reviewed independently by the other. When the data were difficult to interpret, differences were resolved by discussion. DATA SYNTHESIS: Sixteen articles met the inclusion criteria. Eleven articles compared areas under ROC curves for tests read with and without clinical information, and 5 compared only sensitivity and specificity. Ten articles used actual clinical information; 6 used constructed clinical information that was plausible. Overall, clinical information improved test reading accuracy although the effect was smaller in the articles using actual clinical information when compared with those using constructed clinical information. There were no instances in which clinical information resulted in significant reduction in test reading accuracy. In some instances, improved test reading accuracy came from improved sensitivity without loss of specificity.
CONCLUSIONS: At least for the tests examined, the common practice of reading diagnostic tests with clinical information seems justified. Future studies should be designed to investigate the best way of providing clinical information. These studies should also give an estimate of the accuracy of clinical information used, display ROC curves with identified data points, and include a wider range of diagnostic tests.

Mesh:

Year:  2004        PMID: 15467063     DOI: 10.1001/jama.292.13.1602

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  42 in total

1.  Quality control in neuroradiology: discrepancies in image interpretation among academic neuroradiologists.

Authors:  L S Babiarz; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-27       Impact factor: 3.825

Review 2.  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

3.  Quality control in neuroradiology: impact of trainees on discrepancy rates.

Authors:  V G Viertel; L S Babiarz; M Carone; J S Lewin; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-02       Impact factor: 3.825

4.  How complicated is complicated diverticulitis?--phlegmonous diverticulitis revisited.

Authors:  Christian F Jurowich; Stefanie Jellouschek; Ralf Adamus; Reinhard Loose; Annette Kaiser; Christoph Isbert; Christoph-Thomas Germer; Burkhard H A von Rahden
Journal:  Int J Colorectal Dis       Date:  2011-07-21       Impact factor: 2.571

5.  Accuracy of abdominal auscultation for bowel obstruction.

Authors:  Birger Michael Breum; Bo Rud; Thomas Kirkegaard; Tyge Nordentoft
Journal:  World J Gastroenterol       Date:  2015-09-14       Impact factor: 5.742

6.  A pragmatic comparative study of palliative care clinician's reports of the degree of shadowing visible on plain abdominal radiographs.

Authors:  Katherine Clark; L Lam; N J Talley; G Watts; J L Phillips; N J Byfieldt; D C Currow
Journal:  Support Care Cancer       Date:  2018-05-07       Impact factor: 3.603

7.  Effect of diagnostic predictions combined with clinical information on avoiding perceptual errors of computed tomography.

Authors:  Shingo Suzuki; Masatomi Ikusaka; Yoshiyuki Ohira; Masahito Miyahara; Kazutaka Noda; Hideki Kajiwara; Kiyoshi Shikino; Takeshi Kondo
Journal:  Jpn J Radiol       Date:  2013-09-14       Impact factor: 2.374

Review 8.  Academic radiology in the new health care delivery environment.

Authors:  Aliya Qayyum; John-Paul J Yu; Akash P Kansagra; Nathaniel von Fischer; Daniel Costa; Matthew Heller; Stamatis Kantartzis; R Scooter Plowman; Jason Itri
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

Review 9.  Errors in multidetector row computed tomography.

Authors:  M A Mazzei; L Volterrani
Journal:  Radiol Med       Date:  2015-06-25       Impact factor: 3.469

10.  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

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