TY - JOUR
T1 - We need to do better
T2 - A systematic review and meta-analysis of diagnostic test accuracy of restless legs syndrome screening instruments
AU - Fulda, Stephany
AU - Allen, Richard P.
AU - Earley, Christopher J.
AU - Högl, Birgit
AU - Garcia-Borreguero, Diego
AU - Inoue, Yuichi
AU - Ondo, William
AU - Walters, Arthur S.
AU - Williams, Anne Marie
AU - Winkelman, John W.
N1 - Funding Information:
Dr. Fulda is supported by Swiss National Science Foundation grants No. 320030-160009 and 320030-179194 .
Funding Information:
The IRLSSG funded the research reported in this manuscript. No additional funding was received or requested.Professor Richard Allen, at the center of most of the advances in RLS research over the last 25 years, inspired this project and contributed greatly to this publication, and sadly passed away on 12/09/2020. All the authors are honored to have been able to work alongside him. The authors would like to thank Ronald W. Barrett for his helpful contributions to the discussion and the data extraction and Allan O'Bryan for tirelessly organizing even the most unorganized. Anne-Marie Williams received an honorarium for medical writing services from the IRLSSG for work including this publication. Dr. Fulda is supported by Swiss National Science Foundation grants No. 320030-160009 and 320030-179194.
Publisher Copyright:
© 2021 Elsevier Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/8
Y1 - 2021/8
N2 - This systematic review and meta-analysis evaluated the diagnostic accuracy of screening instruments for restless legs syndrome (RLS) and reports sensitivity, specificity, positive (PPV) and negative predictive values (NPV). Searches for primary studies were conducted in electronic databases. Of the 1541 citations identified, 52 were included in the meta-analysis. The methodological quality of each study was evaluated using QUADAS-2. Only 14 studies assessed the reference standard in all participants or in all screen-positives and a selection of screen-negatives. Bivariate meta-analysis of these 14 studies estimated median sensitivity to be 0.88 (0.72–0.96) and specificity 0.90 (0.84–0.93); based on a population prevalence of 5%, the calculated PPV was 0.31 (0.27–0.34). For all 52 studies, with either full or partial verification of RLS status, we constructed best-case scenario sensitivities and specificities at pre-defined levels of prevalence: across all samples, when prevalence is 5%, the median best-case scenario PPV is 0.48 with significant between-study heterogeneity. No RLS screening instruments can currently be recommended for use without an expert clinical interview in epidemiological studies. For conditions with statistically low prevalence such as RLS, the specificity, not the sensitivity, of a screening instrument determines true prevalence. Therefore, future instruments should maximize specificity. We provide guidelines on RLS ascertainment in epidemiological studies that requires a two-step process with clinical interview following a screening test, and given the poor reporting quality of many RLS epidemiological studies, we include an RLS reporting checklist.
AB - This systematic review and meta-analysis evaluated the diagnostic accuracy of screening instruments for restless legs syndrome (RLS) and reports sensitivity, specificity, positive (PPV) and negative predictive values (NPV). Searches for primary studies were conducted in electronic databases. Of the 1541 citations identified, 52 were included in the meta-analysis. The methodological quality of each study was evaluated using QUADAS-2. Only 14 studies assessed the reference standard in all participants or in all screen-positives and a selection of screen-negatives. Bivariate meta-analysis of these 14 studies estimated median sensitivity to be 0.88 (0.72–0.96) and specificity 0.90 (0.84–0.93); based on a population prevalence of 5%, the calculated PPV was 0.31 (0.27–0.34). For all 52 studies, with either full or partial verification of RLS status, we constructed best-case scenario sensitivities and specificities at pre-defined levels of prevalence: across all samples, when prevalence is 5%, the median best-case scenario PPV is 0.48 with significant between-study heterogeneity. No RLS screening instruments can currently be recommended for use without an expert clinical interview in epidemiological studies. For conditions with statistically low prevalence such as RLS, the specificity, not the sensitivity, of a screening instrument determines true prevalence. Therefore, future instruments should maximize specificity. We provide guidelines on RLS ascertainment in epidemiological studies that requires a two-step process with clinical interview following a screening test, and given the poor reporting quality of many RLS epidemiological studies, we include an RLS reporting checklist.
KW - Diagnostic accuracy
KW - Restless legs syndrome
KW - Scale
KW - Sensitivity
KW - Specificity
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U2 - 10.1016/j.smrv.2021.101461
DO - 10.1016/j.smrv.2021.101461
M3 - Review article
C2 - 33838561
AN - SCOPUS:85103729878
VL - 58
JO - Sleep Medicine Reviews
JF - Sleep Medicine Reviews
SN - 1087-0792
M1 - 101461
ER -