Diagnostic accuracy of point-of-care tests for detecting albuminuria: a systematic review and meta-analysis.

BACKGROUND: Experts recommend screening for albuminuria in patients at risk for kidney disease. PURPOSE: To systematically review evidence about the diagnostic accuracy of point-of-care (POC) tests for detecting albuminuria in individuals for whom guidelines recommend such detection. DATA SOURCES: C...

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Váldodahkkit: McTaggart, M, Newall, R, Hirst, J, Bankhead, C, Lamb, E, Roberts, N, Price, C
Materiálatiipa: Journal article
Giella:English
Almmustuhtton: American College of Physicians 2014
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author McTaggart, M
Newall, R
Hirst, J
Bankhead, C
Lamb, E
Roberts, N
Price, C
author_facet McTaggart, M
Newall, R
Hirst, J
Bankhead, C
Lamb, E
Roberts, N
Price, C
author_sort McTaggart, M
collection OXFORD
description BACKGROUND: Experts recommend screening for albuminuria in patients at risk for kidney disease. PURPOSE: To systematically review evidence about the diagnostic accuracy of point-of-care (POC) tests for detecting albuminuria in individuals for whom guidelines recommend such detection. DATA SOURCES: Cochrane Library, EMBASE, Medion database, MEDLINE, and Science Citation Index from 1963 through 5 December 2013; hand searches of other relevant journals; and reference lists. STUDY SELECTION: Cross-sectional studies, published in any language, that compared the accuracy of machine-read POC tests of urinary albumin-creatinine ratio with that of laboratory measurement. DATA EXTRACTION: Two independent reviewers extracted study data and assessed study quality using the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) tool. DATA SYNTHESIS: Sixteen studies (n = 3356 patients) that evaluated semiquantitative or quantitative POC tests and used random urine samples collected in primary or secondary ambulatory care settings met inclusion criteria. Pooling results from a bivariate random-effects model gave sensitivity and specificity estimates of 76% (95% CI, 63% to 86%) and 93% (CI, 84% to 97%), respectively, for the semiquantitative test. Sensitivity and specificity estimates for the quantitative test were 96% (CI, 78% to 99%) and 98% (CI, 93% to 99%), respectively. The negative likelihood ratios for the semiquantitative and quantitative tests were 0.26 (CI, 0.16 to 0.40) and 0.04 (CI, 0.01 to 0.25), respectively. LIMITATION: Accuracy estimates were based on data from single-sample urine measurement, but guidelines require that diagnosis of albuminuria be based on at least 2 of 3 samples collected in a 6-month period. CONCLUSION: A negative semiquantitative POC test result does not rule out albuminuria, whereas quantitative POC testing meets required performance standards and can be used to rule out albuminuria. PRIMARY FUNDING SOURCE: None.
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spelling oxford-uuid:3e55ab60-06ef-4886-8c5e-e57af65fcbdc2022-03-26T14:24:55ZDiagnostic accuracy of point-of-care tests for detecting albuminuria: a systematic review and meta-analysis.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3e55ab60-06ef-4886-8c5e-e57af65fcbdcEnglishSymplectic Elements at OxfordAmerican College of Physicians2014McTaggart, MNewall, RHirst, JBankhead, CLamb, ERoberts, NPrice, CBACKGROUND: Experts recommend screening for albuminuria in patients at risk for kidney disease. PURPOSE: To systematically review evidence about the diagnostic accuracy of point-of-care (POC) tests for detecting albuminuria in individuals for whom guidelines recommend such detection. DATA SOURCES: Cochrane Library, EMBASE, Medion database, MEDLINE, and Science Citation Index from 1963 through 5 December 2013; hand searches of other relevant journals; and reference lists. STUDY SELECTION: Cross-sectional studies, published in any language, that compared the accuracy of machine-read POC tests of urinary albumin-creatinine ratio with that of laboratory measurement. DATA EXTRACTION: Two independent reviewers extracted study data and assessed study quality using the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) tool. DATA SYNTHESIS: Sixteen studies (n = 3356 patients) that evaluated semiquantitative or quantitative POC tests and used random urine samples collected in primary or secondary ambulatory care settings met inclusion criteria. Pooling results from a bivariate random-effects model gave sensitivity and specificity estimates of 76% (95% CI, 63% to 86%) and 93% (CI, 84% to 97%), respectively, for the semiquantitative test. Sensitivity and specificity estimates for the quantitative test were 96% (CI, 78% to 99%) and 98% (CI, 93% to 99%), respectively. The negative likelihood ratios for the semiquantitative and quantitative tests were 0.26 (CI, 0.16 to 0.40) and 0.04 (CI, 0.01 to 0.25), respectively. LIMITATION: Accuracy estimates were based on data from single-sample urine measurement, but guidelines require that diagnosis of albuminuria be based on at least 2 of 3 samples collected in a 6-month period. CONCLUSION: A negative semiquantitative POC test result does not rule out albuminuria, whereas quantitative POC testing meets required performance standards and can be used to rule out albuminuria. PRIMARY FUNDING SOURCE: None.
spellingShingle McTaggart, M
Newall, R
Hirst, J
Bankhead, C
Lamb, E
Roberts, N
Price, C
Diagnostic accuracy of point-of-care tests for detecting albuminuria: a systematic review and meta-analysis.
title Diagnostic accuracy of point-of-care tests for detecting albuminuria: a systematic review and meta-analysis.
title_full Diagnostic accuracy of point-of-care tests for detecting albuminuria: a systematic review and meta-analysis.
title_fullStr Diagnostic accuracy of point-of-care tests for detecting albuminuria: a systematic review and meta-analysis.
title_full_unstemmed Diagnostic accuracy of point-of-care tests for detecting albuminuria: a systematic review and meta-analysis.
title_short Diagnostic accuracy of point-of-care tests for detecting albuminuria: a systematic review and meta-analysis.
title_sort diagnostic accuracy of point of care tests for detecting albuminuria a systematic review and meta analysis
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