Evidence map›Paper›PMID 41296839›Full record

ArticleThe Journal of bone and joint surgery. American volume2026

Preoperative Gait Speed as a Predictor of Patient-Reported Outcomes After Total Hip Arthroplasty: Insights from Patient Acceptable Symptom State and K-Means Clustering Analyses.

Yuki Nakao, Satoshi Hamai, Satoshi Yamate, Toshiki Konishi, Shinya Kawahara, Goro Motomura, Takeshi Utsunomiya, Yasuharu Nakashima

Abstract read
In one paragraph

Article in The Journal of bone and joint surgery. American volume, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yuki NakaoDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0009-0007-3852-2604
Satoshi HamaiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0001-6302-2539
Satoshi YamateDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-2378-1917
Toshiki KonishiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-6990-5276
Shinya KawaharaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0001-9229-6205
Goro MotomuraDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0001-7470-8202
Takeshi UtsunomiyaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-9770-9803
Yasuharu NakashimaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-6692-982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTotal hip arthroplasty (THA) is a well-established procedure for hip osteoarthritis (OA); however, its clinical outcomes are variable, and the optimal timing for surgery remains unclear. Identifying the preoperative predictors that influence midterm patient-reported outcome measures (PROMs) could improve patient outcomes.

methodsThis retrospective cohort study included 274 Asian patients who underwent primary THA for OA between 2012 and 2018, who completed preoperative physical assessments, and who responded to a postoperative mail survey. Preoperative variables included symptom duration, pain intensity, hip range of motion, lower-limb muscle strength, and 10-m free gait speed. PROMs were assessed using the Oxford Hip Score (OHS) and the Forgotten Joint Score-12 (FJS-12). Clinically meaningful outcomes were assessed using the Patient Acceptable Symptom State (PASS), defined as a score of ≥42 for the OHS and a score of ≥50 for the FJS-12. Additionally, K-means clustering was applied to categorize patients into an excellent outcome group and a control group on the basis of their PROMs.

resultsMultivariable regression analysis revealed that preoperative gait speed significantly predicted both the OHS and FJS-12 outcomes (p < 0.01). Furthermore, hip flexion range of motion and hip flexion strength were significantly associated with preoperative gait speed (p < 0.01). A receiver operating characteristic (ROC) curve analysis identified a gait speed cutoff value of 0.7 m/s for achieving the PASS for the OHS (area under the curve [AUC]: 0.69; p < 0.01) and a cutoff value of 1.0 m/s for achieving the PASS for the FJS-12 (AUC: 0.60; p = 0.01). K-means clustering identified preoperative gait speed as the sole significant predictor of classification into the excellent outcome group (odds ratio, 5.85; p < 0.01). The ROC curve analysis revealed a gait speed cutoff value of 1.0 m/s for classification into the excellent group (AUC: 0.64; p < 0.01).

conclusionsPreoperative gait speed, which reflects decreased mobility due to hip joint dysfunction, was a significant predictor of midterm PROMs after THA. Maintaining a preoperative gait speed of 1.0 m/s could serve as a critical threshold for achieving favorable postoperative outcomes, regardless of patient age. LEVEL OF EVIDENCE: Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Indexed as

Arthroplasty, Replacement, HipOsteoarthritis, HipPatient Reported Outcome MeasuresWalking SpeedAgedCluster AnalysisFemaleHumansMaleMiddle AgedPreoperative PeriodRange of Motion, ArticularRetrospective Studies

Identifiers

PMID41296839
PMCPMC12931852

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.