Literature DB >> 19340091

Diagnostic methods I: sensitivity, specificity, and other measures of accuracy.

Karlijn J van Stralen1, Vianda S Stel1, Johannes B Reitsma2, Friedo W Dekker3, Carmine Zoccali4, Kitty J Jager5.   

Abstract

For most physicians, use of diagnostic tests is part of daily routine. This paper focuses on their usefulness by explaining the different measures of accuracy, the interpretation of test results, and the implementation of a diagnostic strategy. Measures of accuracy include sensitivity and specificity. Although these measures are often considered fixed properties of a diagnostic test, in reality they are subject to multiple sources of variation such as the population case mix and the severity of the disease under study. Furthermore, when evaluating a new diagnostic test, it must be compared to a reference standard, although the latter is usually not perfect. In daily practice diagnostic tests are not used in isolation. Several issues will influence the interpretation of their results. First, clinicians have a prior assumption about the patient's chances of having the disease under investigation, based on the patient's characteristics, symptoms, and the disease prevalence in similar populations. Second, diagnostic tests are usually part of a diagnostic strategy. Therefore, it is not sufficient to determine the accuracy of a single test; one also needs to determine its additional value to the patient's diagnosis, treatment, or outcome as part of a diagnostic strategy.

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Year:  2009        PMID: 19340091     DOI: 10.1038/ki.2009.92

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  56 in total

1.  Age-stratified Bayesian analysis to estimate sensitivity and specificity of four diagnostic tests for detection of Cryptosporidium oocysts in neonatal calves.

Authors:  Valerie De Waele; Marco Berzano; Dirk Berkvens; Niko Speybroeck; Colm Lowery; Grace M Mulcahy; Thomas M Murphy
Journal:  J Clin Microbiol       Date:  2010-11-03       Impact factor: 5.948

2.  QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY.

Authors:  Minhaj Alam; Yue Zhang; Jennifer I Lim; Robison V P Chan; Min Yang; Xincheng Yao
Journal:  Retina       Date:  2018-10-31       Impact factor: 4.256

Review 3.  Biomarkers of acute kidney injury in children: discovery, evaluation, and clinical application.

Authors:  Zubaida Al-Ismaili; Ana Palijan; Michael Zappitelli
Journal:  Pediatr Nephrol       Date:  2010-07-10       Impact factor: 3.714

Review 4.  The precision, accuracy and validity of detecting posterior ligamentous complex injuries of the thoracic and lumbar spine: a critical appraisal of the literature.

Authors:  Joost J van Middendorp; Alpesh A Patel; Michael Schuetz; Andrei F Joaquim
Journal:  Eur Spine J       Date:  2012-12-01       Impact factor: 3.134

5.  Bedside screening for fistula stenosis should be tailored to the site of the arteriovenous anastomosis.

Authors:  Nicola Tessitore; Valeria Bedogna; Giovanni Lipari; Edoardo Melilli; William Mantovani; Elda Baggio; Antonio Lupo; Giancarlo Mansueto; Albino Poli
Journal:  Clin J Am Soc Nephrol       Date:  2011-03-24       Impact factor: 8.237

6.  Extraction of large-scale structural covariance networks from grey matter volume for Parkinson's disease classification.

Authors:  Pei-Lin Lee; Kun-Hsien Chou; Cheng-Hsien Lu; Hsiu-Ling Chen; Nai-Wen Tsai; Ai-Ling Hsu; Meng-Hsiang Chen; Wei-Che Lin; Ching-Po Lin
Journal:  Eur Radiol       Date:  2018-03-12       Impact factor: 5.315

7.  Predictive value of selected biomarkers related to metabolism and oxidative stress in children with autism spectrum disorder.

Authors:  Afaf El-Ansary; Geir Bjørklund; Salvatore Chirumbolo; Osima M Alnakhli
Journal:  Metab Brain Dis       Date:  2017-05-11       Impact factor: 3.584

8.  In search of an optimal bedside screening program for arteriovenous fistula stenosis.

Authors:  Nicola Tessitore; Valeria Bedogna; Edoardo Melilli; Deborah Millardi; Giancarlo Mansueto; Giovanni Lipari; William Mantovani; Elda Baggio; Albino Poli; Antonio Lupo
Journal:  Clin J Am Soc Nephrol       Date:  2011-03-31       Impact factor: 8.237

9.  Can the response to iron therapy be predicted in anemic nondialysis patients with chronic kidney disease?

Authors:  Simona Stancu; Liliana Bârsan; Ana Stanciu; Gabriel Mircescu
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-17       Impact factor: 8.237

10.  Diagnostic accuracy of regadenoson stress echocardiography: concordance with gated-spect myocardial perfusion imaging.

Authors:  Ignacio Iglesias-Garriz; Javier Vara-Manso; Ana Sevilla; Felix Corral; Jose A Lastra; Eladio Rodríguez; Carmen Garrote; Samuel Del Castillo; Carmen de la Fuente; Felipe Fernandez-Vazquez
Journal:  Int J Cardiovasc Imaging       Date:  2020-09-21       Impact factor: 2.357

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