Evidence map›Paper›PMID 42780407›Full record

ArticleFrontiers in immunology2026

Serum protein biomarkers for polymyalgia rheumatica: a case-control study.

Hiroshi Furukawa, Yuichi Hikichi, Kohei Kunieda, Shomi Oka, Takashi Higuchi, Shigeto Tohma, Kenji Itoh

Abstract read
In one paragraph

Article in Frontiers in immunology, 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
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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

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

7 authors.

Hiroshi FurukawaDepartment of Rheumatology, NHO Tokyo National Hospital, Kiyose, Japan.
Yuichi HikichiTuning Fork Bio Japan, MITSUI LINK-Lab SHINKIBA 2, Tokyo, Japan.
Kohei KuniedaTuning Fork Bio Japan, MITSUI LINK-Lab SHINKIBA 2, Tokyo, Japan.
Shomi OkaDepartment of Rheumatology, NHO Tokyo National Hospital, Kiyose, Japan.
Takashi HiguchiDepartment of Rheumatology, NHO Tokyo National Hospital, Kiyose, Japan.
Shigeto TohmaDepartment of Rheumatology, NHO Tokyo National Hospital, Kiyose, Japan.
Kenji ItohDepartment of Rheumatology, NHO Tokyo National Hospital, Kiyose, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Polymyalgia rheumatica (PMR), a chronic inflammatory disease that affects older people, is characterized by musculoskeletal pain in the shoulder, neck, and pelvic girdle. It can be challenging to discriminate PMR from older age onset rheumatoid arthritis (RA). Systematic investigations of serum proteins have been conducted to identify new biomarkers. However, few proteomic analyses have been conducted for PMR. We analyzed serum protein profiles to identify biomarkers of PMR in the comparison between PMR patients before corticosteroid treatment [PMR Tx(-)] and healthy controls (HCs). Methods: Systematic proteome analyses of serum samples from 16 PMR Tx(-) and 18 HCs were performed and candidate proteins were selected with statistical/cluster and outlier analyses. Validation of the results was performed by the multiplex bead-based immunoassay of 10 candidate proteins in serum from 16 PMR Tx(-), 30 PMR after corticosteroid treatment [PMR Tx(+)], 26 RA, and 16 HCs. Results: C-C motif chemokine ligand (CCL)7, C-X-C motif chemokine ligand (CXCL)9, interleukin (IL)-6, matrix metalloproteinase (MMP)-8, interferon (IFN)-alpha, and MMP-3 levels were increased in PMR Tx(-) compared with HC. Area under the curve values of receiver operating characteristic curves of CXCL9, IL-6, and IL-1 receptor antagonist were 0.94, 0.97, and 0.94, respectively. Conclusions: Serum biomarker profiles could represent diagnostic biomarkers for PMR.

Indexed as

BiomarkersBlood ProteinsPolymyalgia RheumaticaAgedAged, 80 and overArthritis, RheumatoidCase-Control StudiesFemaleHumansMaleMiddle AgedProteomicsBiomarkersBlood Proteinscase-control studypolymyalgia rheumaticaprotein biomarkerproteomic analysesrheumatoid arthritis

Identifiers

PMID42780407
PMCPMC13597238

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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.