Evidence map›Paper›PMID 42368505›Full record

ArticleJournal of pharmacopuncture2026

Protocol for a Radial Pulse-Based Vascular Age Index Integrated with Traditional Korean Medicine Pulse Diagnosis.

Hyun-Joo Oh, Jun-Sang Yu

Abstract read
In one paragraph

Article in Journal of pharmacopuncture, 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

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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.

Hyun-Joo OhDepartment of Sasang Constitutional Medicine, College of Korean Medicine, Sangji University, Wonju, Republic of Korea.ORCID https://orcid.org/0000-0003-4757-7512
Jun-Sang YuDepartment of Sasang Constitutional Medicine, College of Korean Medicine, Sangji University, Wonju, Republic of Korea.ORCID https://orcid.org/0000-0003-0190-0193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Vascular aging, a central determinant of cardiovascular risk, is commonly assessed by pulse wave velocity (PWV)-based indices such as carotid-femoral PWV (cfPWV). However, these methods are not always feasible in routine or integrative clinical settings, requiring specialized equipment. Radial artery pulse wave analysis has emerged as a non-invasive alternative for estimating vascular age, while traditional Korean medicine (TKM) pulse diagnosis provides a qualitative assessment of vascular and systemic conditions. Despite the conceptual overlap, integration of modern vascular metrics with TKM pulse diagnosis remains limited. This study aims to develop and validate a radial pulse-based vascular age index (RP-VAI) and investigate its association with conventional vascular aging markers and TKM pulse characteristics. Methods: A prospective observational study will be conducted, with all measurements performed in an examination room at a Korean medicine hospital. Radial pulse signals will be acquired bilaterally at the wrist, including traditional palpation sites (chon, gwan, and cheok). Signal processing will extract time-domain, morphological, and spectral features. A vascular age prediction model will be developed using multiple linear regression and machine learning. TKM pulse diagnosis will be independently assessed by trained practitioners. The associations between RP-VAI, PWV-based indices, and TKM pulse features will be analyzed. Expected Outcomes: The study is expected to establish a novel integrative vascular aging index that bridges biomedical signal analysis and traditional pulse diagnosis, enabling a more comprehensive assessment of aging-related vascular changes. Conclusion: This study will establish and validate the RP-VAI, an integrative index, which may serve as an accessible tool for assessing vascular aging by bridging traditional pulse diagnosis with modern biomedical analysis.

Indexed as

arterial stiffnessbiomarkerspulse diagnosispulse waveradial pulsetraditional Korean medicine

Identifiers

PMID42368505
PMCPMC13303343

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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.