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SRC-1aabb83f632f Lima DP 2025

Evidence source and scope

Assessment of sarcopenia tools as predictors of falls in patients with mild to moderate Parkinson's Disease: A cohort study.

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DOI: 10.1016/j.clinsp.2025.100776

Bibliographic record from the original reports

Access labels embedded in these original reference strings are historical. Current access and exact checked components are stated separately below.

Lima DP, Gomes VC, Luna JRG, Santos LTR, Almeida SB, Viana-Júnior AB, et al. Assessment of sarcopenia tools as predictors of falls in patients with mild to moderate Parkinson's Disease: A cohort study. Clinics (Sao Paulo). 2025;80:100776. DOI 10.1016/j.clinsp.2025.100776

Conditions: COND-PD Parkinson’s disease

Scoped audit evidence

These are source- and component-level audit summaries as of 3 October 2026. Access and comparison scope can differ by report; none certifies every result or the underlying raw data.

Parkinson’s disease — strength

STR-59-02

STR-59-01

Limitations: Only current scoped checks; archived captures not authenticated against live originals.

Parkinson’s disease strength

Parkinson’s disease strength component — Prospective grip values and modeling caveats

Methods/Tables match 103 participants, 48 fallers, 23 recurrent fallers, 159 falls, monthly calls, ON-state SAEHAN best-of-six protocol and all grip comparisons. Methods says logistic while Table 2 says HR. Adjusted grip is omitted; AUC.843 concerns SARC-F plus duration.

Source locator: Methods, Tables 1–4, Fig 2

Limitations: AI-assisted source comparison; no raw-data verification.

Parkinson’s disease strength component — Recurrent-class majority baseline accuracy

Non-recurrent count 103−23=80 gives 77.6699%, correctly rounded 77.67%, versus maximum reported accuracy 78.64%. This is a majority-class baseline comparison, not a replacement validated model.

Source locator: Table 1; audit evidence record

Limitations: AI-assisted source comparison; no raw-data verification.

Reports citing this source

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