Literature DB >> 19446966

Effects of bias on the results of diagnostic studies of carpal tunnel syndrome.

Kevin Boyer1, Janet Wies, Charles M Turkelson.   

Abstract

PURPOSE: Design weaknesses in studies of diagnostic tests can lead to biases that produce misleading results. The extent to which such biases exist in studies of diagnostic tests for carpal tunnel syndrome (CTS) is unknown, and no studies address whether these biases influence published estimates of the performance of CTS diagnostic tests. The present study investigates these issues.
METHODS: We conducted a systematic review of studies of tests used to diagnose CTS in adults. Whether a study had design-related biases was determined using the Quality Assessment of Diagnostic Accuracy Studies instrument, by determining whether a study had a case control design, and by considering each study's level of evidence. We used meta-regression to determine whether any of these factors influenced estimates of the sensitivity, specificity, and diagnostic odds ratio of diagnostic tests.
RESULTS: A total of 23 studies of 129 diagnostic test evaluations met our inclusion criteria. Of those, 87% (20 of 23 studies) contained at least 1 bias and, on average, each study contained 2 biases. The most common design-related bias was spectrum bias (61% of studies [14 of 23 studies]), which was perfectly correlated with use of a case control design. Spectrum bias was associated with a statistically significant overestimation of sensitivity, specificity, and the diagnostic odds ratio. Test review bias (which was clearly present in 35% of studies [8 of 23 studies]) was associated with statistically significant overestimation of sensitivity and the diagnostic odds ratio. These results were not influenced by whether the diagnostic test under study was a clinical or an electrodiagnostic test.
CONCLUSIONS: Well-designed studies of diagnostics for CTS are uncommon, and shortcomings in the design of studies of clinical and electrodiagnostic tests are associated with overestimates of the performance of these tests. Consequently, most articles on diagnostic tests for CTS are unlikely to report results that are applicable to actual clinical practice.

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Year:  2009        PMID: 19446966     DOI: 10.1016/j.jhsa.2009.02.018

Source DB:  PubMed          Journal:  J Hand Surg Am        ISSN: 0363-5023            Impact factor:   2.230


  4 in total

1.  Ultrasound of Median Nerve in the Diagnosis of Carpal Tunnel Syndrome-Correlation with Electrophysiological Studies.

Authors:  K Kanagasabai
Journal:  Indian J Radiol Imaging       Date:  2022-04-06

2.  Accuracy of Provocative Tests for Carpal Tunnel Syndrome.

Authors:  Dafang Zhang; Cassandra M Chruscielski; Philip Blazar; Brandon E Earp
Journal:  J Hand Surg Glob Online       Date:  2020-04-21

3.  Deep-Learning for the Diagnosis of Esophageal Cancers and Precursor Lesions in Endoscopic Images: A Model Establishment and Nationwide Multicenter Performance Verification Study.

Authors:  Eun Jeong Gong; Chang Seok Bang; Kyoungwon Jung; Su Jin Kim; Jong Wook Kim; Seung In Seo; Uhmyung Lee; You Bin Maeng; Ye Ji Lee; Jae Ick Lee; Gwang Ho Baik; Jae Jun Lee
Journal:  J Pers Med       Date:  2022-06-27

4.  Effectiveness of ultrasonography and nerve conduction studies in the diagnosing of carpal tunnel syndrome: clinical trial on accuracy.

Authors:  Benedito Felipe Rabay Pimentel; Flávio Faloppa; Marcel Jun Sugawara Tamaoki; João Carlos Belloti
Journal:  BMC Musculoskelet Disord       Date:  2018-04-12       Impact factor: 2.362

  4 in total

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