Evidence map›Paper›PMID 40524309›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2025

Exploration of influential factors about deficiency constitution of Traditional Chinese Medicine based on multi-methods.

Luo Yue, Cheng Xiaoen, Jiang Luxia, S U Biliang, Zhao Yuxin, O U Jintao, Wen Chuanbiao

Abstract read
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2025. 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

7 authors.

Luo YueSchool of basic medical sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Cheng XiaoenCollege of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Jiang LuxiaCollege of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
S U BiliangDepartment of Rehabilitation Medicine, Xi 'an Road Community Health Service Center of Jinniu District, Chengdu 610031, China.
Zhao YuxinCollege of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
O U JintaoDepartment of Traditional Chinese Medicine Management, Yilong County Traditional Chinese Medicine Hospital, Yilong 637600, China.
Wen ChuanbiaoCollege of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

Funding

National Natural Science Foundation: Discovery and Algorithm Research of "Hierarchical Feature Association Network" for Subjective and Objective Symptoms of Diseases and Bioinformatics based on Data Lake Technology - Taking Diabetes as an Example 82174236National Natural Science Foundation Project: Grey Correlation Analysis based on Dynamic Data to Construct A Knowledge Map of the Dynamic Change Law of Chinese Medicine Constitution 81904324
6 · The paper itself

Abstract

objectiveTo find more influencing factors

methodsBecause grey relational analysis (GRA) is good at processing incomplete information and has no special requirements for sample size and distribution. We acquired 2122 pieces of valid

resultsFor the calculation results of GRA, there were 10 (62.5%) aspects whose grey correlation degrees were greater than 0.6. The results of

conclusionsIt is necessary to pay attention to these innate and acquired information of individuals which may lead to

Indexed as

Medicine, Chinese TraditionalAdolescentAdultFemaleHumansLogistic ModelsMaleMiddle AgedQiYoung Adultdeficiency constitutiongrey relational analysisinfluencing factorsmultivariate analysisunivariate analysis

Identifiers

PMID40524309
PMCPMC12134329

What OpenQuestion holds

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Registered trials

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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.