Evidence map›Paper›PMID 41900501›Full record

ArticleJournal of functional morphology and kinesiology2026

Machine Learning-Based Prognostic Prediction for Knee Osteoarthritis After High Tibial Osteotomy Using Wavelet-Derived Gait Features.

Koji Iwasaki, Kento Sabashi, Hidenori Koyano, Yuji Kodama, Shigeyuki Sakurai, Kengo Ukishiro, Ryusuke Ito, Hisashi Matsumoto, Yuichiro Abe, Noriaki Mori and 5 more

Abstract read
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In one paragraph

Article in Journal of functional morphology and kinesiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Koji IwasakiDepartment of Functional Reconstruction for the Knee Joint, Faculty of Medicine, Hokkaido University, Sapporo 060-8638, Japan.
Kento SabashiDepartment of Rehabilitation, Hokkaido University Hospital, Sapporo 060-8648, Japan.
Hidenori KoyanoFaculty of Medicine of Biomedical Science and Engineering, Hokkaido University, Sapporo 060-0815, Japan.
Yuji KodamaDepartment of Rehabilitation, Wajokai Eniwa Hospital, Eniwa 061-1449, Japan.
Shigeyuki SakuraiDepartment of Rehabilitation, Hakodate Orthopedics Clinic, Hakodate 041-0802, Japan.
Kengo UkishiroDepartment of Rehabilitation, Hakodate Orthopedics Clinic, Hakodate 041-0802, Japan.ORCID 0000-0001-6236-6516
Ryusuke ItoDepartment of Rehabilitation, Hokushin Orthopaedic Hospital, Sapporo 060-0908, Japan.
Hisashi MatsumotoDepartment of Rehabilitation, Hokushin Orthopaedic Hospital, Sapporo 060-0908, Japan.
Yuichiro AbeSapporo Medical Research LLC, Sapporo 065-0013, Japan.
Noriaki MoriDepartment of Orthopedic Surgery, Wajokai Eniwa Hospital, Eniwa 061-1449, Japan.
Chiharu InoueDepartment of Orthopedic Surgery, Hokushin Orthopaedic Hospital, Sapporo 060-0908, Japan.
Yasumitsu OhkoshiDepartment of Orthopedic Surgery, Hakodate Orthopedics Clinic, Hakodate 041-0802, Japan.
Tomohiro OnoderaDepartment of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo 060-8638, Japan.ORCID 0000-0002-4308-174X
Eiji KondoCenter for Sports Medicine, Hokkaido University, Sapporo 060-8648, Japan.
Norimasa IwasakiDepartment of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo 060-8638, Japan.ORCID 0000-0002-5496-4046

Funding

AMED Grant JP21zf0127004Japan Society for the Promotion of Science 24K12344
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

clinical outcome predictiongait analysishigh tibial osteotomyinertial measurement unitknee osteoarthritismachine learningwavelet analysis

Identifiers

PMID41900501
PMCPMC13027576

What OpenQuestion holds

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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 OpenQuestion graph.