Evidence map›Paper›PMID 27340421›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2016

Study on Yang-Xu Using Body Constitution Questionnaire and Blood Variables in Healthy Volunteers.

Hong-Jhang Chen, Yii-Jeng Lin, Pei-Chen Wu, Wei-Hsiang Hsu, Wan-Chung Hu, Trong-Neng Wu, Fang-Pey Chen, Yun-Lian Lin

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.5field-weighted citation impact, top 7% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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  5. Decision Tree-Based Body Constitution Diagnosis System for Traditional Chinese Medicine.Evidence-based complementary and alternative medicine : eCAM · 2022
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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

8 authors at 3 institutions in 1 country.

Hong-Jhang ChenNational Research Institute of Chinese Medicine, Taipei 112, Taiwan.
Yii-Jeng LinTaipei Veterans General Hospital, Center for Traditional Medicine, Taipei 112, Taiwan.
Pei-Chen WuBiostatistics Center, Taipei Medical University, Taipei 110, Taiwan.
Wei-Hsiang HsuDepartment of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung 404, Taiwan.
Wan-Chung HuNational Research Institute of Chinese Medicine, Taipei 112, Taiwan.
Trong-Neng WuDepartment of Nursing, Hung Kuang University, Taichung 433, Taiwan.
Fang-Pey ChenTaipei Veterans General Hospital, Center for Traditional Medicine, Taipei 112, Taiwan; Institute of Traditional Medicine, School of Medicine, National Yang-Ming University, Taipei 112, Taiwan.
Yun-Lian LinDepartment of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, Taichung 404, Taiwan; School of Pharmacy, National Taiwan University, Taipei 100, Taiwan.
China Medical University · TWNational Research Institute of Chinese Medicine · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM) formulates treatment according to body constitution (BC) differentiation. Different constitutions have specific metabolic characteristics and different susceptibility to certain diseases. This study aimed to assess the Yang-Xu constitution using a body constitution questionnaire (BCQ) and clinical blood variables. A BCQ was employed to assess the clinical manifestation of Yang-Xu. The logistic regression model was conducted to explore the relationship between BC scores and biomarkers. Leave-one-out cross-validation (LOOCV) and K-fold cross-validation were performed to evaluate the accuracy of a predictive model in practice. Decision trees (DTs) were conducted to determine the possible relationships between blood biomarkers and BC scores. According to the BCQ analysis, 49% participants without any BC were classified as healthy subjects. Among them, 130 samples were selected for further analysis and divided into two groups. One group comprised healthy subjects without any BC (68%), while subjects of the other group, named as the sub-healthy group, had three BCs (32%). Six biomarkers, CRE, TSH, HB, MONO, RBC, and LH, were found to have the greatest impact on BCQ outcomes in Yang-Xu subjects. This study indicated significant biochemical differences in Yang-Xu subjects, which may provide a connection between blood variables and the Yang-Xu BC.

Identifiers

PMID27340421
PMCPMC4906219
OpenAlexW2416825949

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.