Evidence map›Paper›PMID 41767387›Full record

ArticleFrontiers in endocrinology2026

Development and validation of a nomogram model integrating noninvasive detection of radial pulse wave for predicting diabetic foot risk in type 2 diabetes mellitus.

Yuting Huo, Wen Li, Ai Xu, Siman Wang, Yuqing Wang, Jin Xu, Rui Guo, Cheng Zhao, Haixia Yan

Abstract readValidation Study
In one paragraph

Article in Frontiers in endocrinology, 2026. 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

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

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

9 authors.

Yuting Huo *School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.
Wen Li *School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.
Ai XuSchool of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.
Siman WangSchool of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.
Yuqing WangDepartment of Vascular Disease, Shanghai Traditional Chinese Medicine (TCM)- Integrated Hospital, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.
Jin XuSchool of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.
Rui GuoSchool of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.
Cheng ZhaoDepartment of Vascular Disease, Shanghai Traditional Chinese Medicine (TCM)- Integrated Hospital, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.
Haixia YanSchool of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (TCM), Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to develop and evaluate a nomogram model based on Traditional Chinese Medicine (TCM) pulse mapping parameters to predict the risk of diabetic foot (DF) in patients with type 2 diabetes mellitus (T2DM). Methods: A retrospective analysis was performed on clinical data and pulse mapping parameters from 485 T2DM patients hospitalized in the Departments of Vascular Diseases and Endocrinology at Shanghai TCM-Integrated Hospital between July 26, 2023, and April 9, 2025. Patients were divided into a DF group ( Results: Gender (OR = 0.501, Conclusion: This nomogram model provides an individualized and visualized tool for predicting DF risk in T2DM patients, offering TCM-based reference indicators for early DF risk assessment.

Indexed as

Diabetes Mellitus, Type 2Diabetic FootNomogramsPulse Wave AnalysisAgedFemaleHumansMaleMedicine, Chinese TraditionalMiddle AgedRetrospective StudiesRisk FactorsROC Curvediabetic footnomogrampredictive modelpulse mapping parameterstype 2 diabetes mellitus

Identifiers

PMID41767387
PMCPMC12935602

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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.