Evidence map›Paper›PMID 35815272›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Interpretation of a Quantitative Diagnosis Model of Traditional Chinese Medicine Syndromes Based on Computer Adaptive Testing.

Simeng Yao, Zhongyu Huang, Xianhua Liu, Qiaofeng Yan, Jing Tang, Fengbin Liu, Zhengkun Hou

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact, top 92% of its field
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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, 0 citations in OpenAlex.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Simeng YaoGuangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-8282-4801
Zhongyu HuangIntegrated Chinese and Western Medicine Postdoctoral Research Station, Jinan University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-5990-2103
Xianhua LiuShenzhen Baoan Traditional Chinese Medicine Hospital Group, Shenzhen, Guangdong, China.
Qiaofeng YanNo. 1 Traditional Chinese Medicine Hospital Changde, Changde, Hunan, China.
Jing TangDepartment of Traditional Chinese Medicine, General Hospital of the Western Theater Command, Chengdu, Sichuan, China.
Fengbin LiuThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-2641-7499
Zhengkun HouThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-7491-441X
First Affiliated Hospital of Guangzhou University of Chinese Medicine · CNGuangzhou University of Chinese Medicine · CNJinan University · CNThe First People's Hospital of Changde · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The aim of this study is to interpret a quantitative diagnosis model of traditional Chinese medicine (TCM) syndromes based on computer adaptive testing (CAT), from the perspective of both patients and clinicians. Methods: In this cross-sectional study, patients with postprandial distress syndrome completed the CAT model of TCM syndromes and the Chinese version of the Quality of Life Questionnaire for Functional Digestive Disorders (Chin-FDDQL); the clinicians' diagnosis was concurrently recorded. The patients completed this questionnaire again after 14 ± 2 days. The kappa test and paired chi-square test were used to evaluate the consistency between the CAT model and clinical diagnosis. Minimal clinically important differences (MCID) of the Chin-FDDQL scores were used to assess clinical efficacy from the patients' perspective. Logistic regression was used to examine the association between changes in the CAT model syndrome domain scores and changes in clinical outcomes. Results: Changes in the CAT model syndrome domain scores may affect the clinical outcomes of patients with the total scores of Chin-FDDQL (all Conclusions: This study proposes a method for the clinical interpretation of the CAT model of TCM syndromes, including evidence derived from the application. It may provide a reference for future interpretation of other CAT models.

Identifiers

PMID35815272
PMCPMC9262526
OpenAlexW4283747474

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