Evidence map›Paper›PMID 41177154›Full record

ArticleAnnals of rehabilitation medicine2025

The Advantage of Gait Pattern Assessment in Patients With Osteoarthritis Using Pearson Correlation Coefficient and SMAPE: A Case Series.

Wiha Choi, Jaeho Jang, Sehoon Oh, Tae-Du Jung

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Article in Annals of rehabilitation medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wiha ChoiAI-based Neurodevelopmental Disease Digital Therapeutics Group, Korea Brain Research Institute (KBRI), Daegu, Korea.
Jaeho JangAI-based Neurodevelopmental Disease Digital Therapeutics Group, Korea Brain Research Institute (KBRI), Daegu, Korea.
Sehoon OhDepartment of Robotics and Mechatronics Engineering, DGIST, Daegu, Korea.
Tae-Du JungDepartment of Rehabilitation Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.

Funding

Kyungpook National University
6 · The paper itself

Abstract

Objective: To assess patient gait ability by capturing both trend and scale aspects, this study proposes a method using the Pearson correlation coefficient and symmetric mean absolute percentage error (SMAPE).

methodsGait patterns from three patients with hip osteoarthritis (OA) were analyzed using kinematic and kinetic data. In each case, using MAPE or Pearson correlation alone failed to provide a reliable assessment, revealing limitations in capturing the full characteristics of gait patterns.

resultsThe combined use of Pearson and SMAPE effectively identified gait abnormalities across all cases. This integrated approach offered a more accurate and comprehensive evaluation than single-metric methods. Conclusion: The findings highlight the importance of considering both trend and scale in gait analysis. The proposed dual-metric methodology overcomes the limitations of conventional and single-metric approaches, enabling a clearer understanding of gait characteristics in patients with hip OA.

Indexed as

Correlation of dataGait analysisHip jointHip osteoarthritisLocomotion

Identifiers

PMID41177154
PMCPMC12579991

What Socratic holds

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.