Evidence map›Paper›PMID 41731918›Full record

ArticleInternational wound journal2026

Proton Nuclear Magnetic Resonance With Time-Frequency Analysis: A Potential Diagnostic Approach for Keloids.

Guangpeng Xia, Teruyuki Dohi, Keiko Hirakawa, Kaori Okihara, Ei Hiruma, Shun Minagawa, Mohamed Abdelhakim, Tomoko Konta, Nikki Terashi, Yoshimasa Kanawaku and 1 more

Abstract read
In one paragraph

Article in International wound journal, 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

11 authors.

Guangpeng XiaDepartment of Plastic, Reconstructive, and Aesthetic Surgery, Nippon Medical School, Tokyo, Japan.ORCID https://orcid.org/0009-0006-3284-9115
Teruyuki DohiDepartment of Plastic, Reconstructive, and Aesthetic Surgery, Nippon Medical School, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7316-8961
Keiko HirakawaDepartment of Forensic Medicine, Graduate School of Medicine, Nippon Medical School, Chiba, Japan.
Kaori OkiharaResearch Laboratory of Magnetic Resonance, Collaborative Research Center, Nippon Medical School, Tokyo, Japan.
Ei HirumaDepartment of Plastic, Reconstructive, and Aesthetic Surgery, Nippon Medical School, Tokyo, Japan.
Shun MinagawaDepartment of Plastic, Reconstructive, and Aesthetic Surgery, Nippon Medical School, Tokyo, Japan.
Mohamed AbdelhakimDepartment of Plastic, Reconstructive, and Aesthetic Surgery, Nippon Medical School, Tokyo, Japan.
Tomoko KontaDepartment of Forensic Medicine, Graduate School of Medicine, Nippon Medical School, Chiba, Japan.
Nikki TerashiDepartment of Plastic, Reconstructive, and Aesthetic Surgery, Nippon Medical School, Tokyo, Japan.
Yoshimasa KanawakuDepartment of Forensic Medicine, Graduate School of Medicine, Nippon Medical School, Chiba, Japan.
Rei OgawaDepartment of Plastic, Reconstructive, and Aesthetic Surgery, Nippon Medical School, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3658-555X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keloids are chronic fibroproliferative skin disorders with high recurrence rates and limited treatment options, yet reliable diagnostic biomarkers are lacking. Current classification systems rely heavily on clinical observation, underscoring the need for objective, noninvasive tools. In this exploratory study, serum-based

Indexed as

KeloidProton Magnetic Resonance SpectroscopyAdolescentAdultBiomarkersFemaleFourier AnalysisHumansMagnetic Resonance SpectroscopyMaleMiddle AgedRetrospective StudiesYoung AdultBiomarkersdiagnosiskeloidnuclear magnetic resonancepathological scartime‐frequency analysis

Identifiers

PMID41731918
PMCPMC12929634

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.