Evidence map›Paper›PMID 41797765›Full record

ArticleFrontiers in medicine2026

Construction and internal cohort verification of clinical-imaging-based nomogram for early diagnosis in Takayasu arteritis.

Jing Chen, Hongsheng Sun

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 authors.

Jing ChenDepartment of Rheumatology and Immunology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Hongsheng SunDepartment of Rheumatology and Immunology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Takayasu arteritis (TAK) is a chronic large-vessel vasculitis. This study aimed to develop and internally validate a nomogram model integrating clinical indicators, conventional imaging features, and radiomics features for the early diagnosis of TAK. Methods: A total of 356 patients suspected of having TAK in our hospital were retrospectively included. They were randomly divided into a training set ( Results: In the training set, 75 cases (30.12%) were diagnosed with early-stage TAK, and in the validation set, 32 cases (29.91%) were diagnosed. There were no statistically significant differences in the incidence of TAK and clinical characteristics between the two groups ( Conclusion: This study successfully constructed and validated a comprehensive nomogram model, which can provide individualized and non-invasive risk assessment for the early diagnosis of TAK and contribute to clinical decision-making.

Indexed as

computed tomographyearly diagnosisnomogramradiomicsTakayasu arteritis

Identifiers

PMID41797765
PMCPMC12960647

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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.