{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T17:51:17Z","timestamp":1792086677836,"version":"4.4.0"},"reference-count":60,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T00:00:00Z","timestamp":1792022400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>\n                    The purpose of this study was to use the meta-analytic approach to investigate the ability of Inertial Measurement Unit-based commercial system measured gait variability and asymmetry in distinguishing individuals with Parkinson\u2019s disease (PD) from healthy controls (HC). Cross-sectional studies included using commercial IMU-based systems measuring gait variability or asymmetry at any stage of PD patients and healthy adults were included. Studies were determined by searching for four electronic databases and cross-referencing. Dual selection and data abstraction of studies were conducted. Hedges\u2019 g standardized mean difference was calculated for each variable and pooled using inverse heterogeneity mode. Statistically significant was determined by two tailed z-alpha values \u22640.05 and non-overlapping 95% CI. Heterogeneity was estimated using Q and I\n                    <jats:sup>2<\/jats:sup>\n                    with alpha values \u22640.10 for Q considered statistically significant. Small-study effects were examined using doi plots and LFK index. A total of 1,725 studies were screened. Eventually, 9 studies representing up to 571 PD patients and 470 HC met the inclusion criteria. Overall gait variability was significantly greater in individuals with PD than in HC (Hedges\u2019 g\u2009=\u20090.368, 95% CI 0.139\u20130.597). The multi-IMU subgroup also showed significantly greater gait variability (Hedges\u2019 g\u2009=\u20090.397, 95% CI 0.221\u20130.574), whereas the one-IMU subgroup did not. However, the between-subgroup difference was not statistically significant, and the multi-IMU prediction interval included null. The primary analysis detected no statistically significant overall difference in gait asymmetry (Hedges\u2019 g\u2009=\u20090.180, 95% CI \u22120.012\u20130.373). These findings provide preliminary evidence of an average group-level difference in gait variability but hard to establish individual-level discrimination, clinical utility, or the superiority of multi-IMU systems.\n                  <\/jats:p>","DOI":"10.1371\/journal.pone.0360793","type":"journal-article","created":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T17:34:06Z","timestamp":1792085646000},"page":"e0360793","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["The ability of the commercial inertial measurement unit-based gait system in determining Parkinson\u2019s disease: A systematic review with meta-analysis of cross-sectional studies"],"prefix":"10.1371","volume":"21","author":[{"given":"Jiahao","family":"Pan","sequence":"first","affiliation":[{"name":"Xinjiang Normal University","place":["Urumqi, Xinjiang, China"],"department":["Biomechanics & Neurorehabilitation Lab, Department of 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