Evidence map›Paper›PMID 40963422›Full record

ArticlePain management2025

Pain-relieving effect of dynamic orthosis for lateral epicondylitis: a pilot crossover study.

Kazuhiro Ikeda, Akira Ikumi, Shinzo Onishi, Takeshi Ogawa, Sho Kohyama, Yuichi Yoshii

Abstract read
In one paragraph

Article in Pain management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Kazuhiro IkedaInstitute of Clinical Medicine, Department of Orthopedic Surgery, University of Tsukuba, Ibaraki, Japan.ORCID 0000-0002-7112-6511
Akira IkumiInstitute of Clinical Medicine, Department of Orthopedic Surgery, University of Tsukuba, Ibaraki, Japan.
Shinzo OnishiInstitute of Clinical Medicine, Department of Orthopedic Surgery, University of Tsukuba, Ibaraki, Japan.
Takeshi OgawaDepartment of Orthopedic Surgery, NHO Mito Medical Center, Ibaraki, Japan.
Sho KohyamaDepartment of Orthopedic Surgery, Kikkoman General Hospital, Chiba, Japan.
Yuichi YoshiiDepartment of Orthopedic Surgery, Tokyo Medical University Ibaraki Medical Center, Ibaraki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWe developed a simple dynamic orthosis for lateral epicondylitis (DOLE) assisting wrist extensors. This study aimed to compare the pain-relieving effects of DOLE and the counterforce brace in patients with lateral epicondylitis during pickup motion. PATIENTS &

methodsEighteen patients with lateral epicondylitis performed a pickup test using a 1 kg sandbag under three conditions: without a brace, with a counterforce brace, and with DOLE. Pain during the task was assessed using a visual analogue scale (VAS). The pain-relieving effect was calculated as the percentage reduction in VAS compared to baseline (without an orthosis).

resultsThe VAS in the pickup test was 63.2±18.8 mm without orthosis, 53.9±21.0 mm with the counterforce brace, and 38.9±17.0 mm with DOLE. The pain-relieving effect was 0.11 (0-0.20) for the counterforce brace and 0.38 (0.24-0.52) for DOLE, which was greater in DOLE than in the counterforce brace (p = 0.001).

conclusionDOLE significantly reduced lateral elbow pain during pickup motion, outperforming the counterforce brace; however, given the relatively small sample size, these findings should be interpreted as preliminary evidence requiring confirmation in larger longitudinal studies. Its simple, worker-friendly design and strong pain-relief effect suggest its potential utility in treating lateral epicondylitis.

Indexed as

Orthotic DevicesPain ManagementTennis ElbowAdultBracesCross-Over StudiesFemaleHumansMaleMiddle AgedPain MeasurementPilot ProjectsTreatment Outcomeconservative treatmentcounterforce braceorthosisTennis elbowtennis elbow band

Identifiers

PMID40963422
PMCPMC12562740

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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 OpenQuestion graph.