Development of a nomogram prediction model for gait speed trajectories in persons with knee osteoarthritis.
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DOI: 10.1038/s41598-023-37193-y
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.
Liu P, Wang C, Chen H, Shang S. Development of a nomogram prediction model for gait speed trajectories in persons with knee osteoarthritis. Scientific reports. 2023;13(1):11291. DOI 10.1038/s41598-023-37193-y Source examined: Article body including tables complete.
Conditions: COND-KOA Knee osteoarthritis
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.
Knee osteoarthritis
- access: fulltext_xml
Knee osteoarthritis — gait
- current access: fulltext_xml
- verification depth: tables
Sample sizes, AUCs, imputation and predictor coding match. Validation is an internal random split. The published 80:20 split is nominal; the reported counts are 80.61:19.39. This does not change the report’s main inference.
Source locator: Methods; Results; Tables1-3
Limitations: Source-group appraisal. A supported source group does not turn every generic clinical recommendation into a validated decision rule.
Reports citing this source
- Gait assessment and prognosis in knee osteoarthritis · reference 24 · original reference
Update record
- 2026-10-03: Created from the supplied reports and final scoped audit. New evidence should be appended with source version, access date, exact locator and affected report links.
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