PMID- 35815272 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220716 IS - 1741-427X (Print) IS - 1741-4288 (Electronic) IS - 1741-427X (Linking) VI - 2022 DP - 2022 TI - Interpretation of a Quantitative Diagnosis Model of Traditional Chinese Medicine Syndromes Based on Computer Adaptive Testing. PG - 3203158 LID - 10.1155/2022/3203158 [doi] LID - 3203158 AB - 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 P < 0.05). There was a correlation between changes in the CAT model syndrome domain scores and the patients' clinical outcomes. Different syndrome elements had different effects on various Chin-FDDQL domains, which was consistent with the theory of TCM. 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. CI - Copyright (c) 2022 Simeng Yao et al. FAU - Yao, Simeng AU - Yao S AUID- ORCID: 0000-0001-8282-4801 AD - Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. FAU - Huang, Zhongyu AU - Huang Z AUID- ORCID: 0000-0001-5990-2103 AD - Integrated Chinese and Western Medicine Postdoctoral Research Station, Jinan University, Guangzhou, Guangdong, China. AD - The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. AD - Laboratory for Neuroscience in Health and Disease, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China. FAU - Liu, Xianhua AU - Liu X AD - Shenzhen Baoan Traditional Chinese Medicine Hospital Group, Shenzhen, Guangdong, China. FAU - Yan, Qiaofeng AU - Yan Q AD - No. 1 Traditional Chinese Medicine Hospital Changde, Changde, Hunan, China. FAU - Tang, Jing AU - Tang J AD - Department of Traditional Chinese Medicine, General Hospital of the Western Theater Command, Chengdu, Sichuan, China. FAU - Liu, Fengbin AU - Liu F AUID- ORCID: 0000-0003-2641-7499 AD - The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. FAU - Hou, Zhengkun AU - Hou Z AUID- ORCID: 0000-0001-7491-441X AD - The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. LA - eng PT - Journal Article DEP - 20220630 PL - United States TA - Evid Based Complement Alternat Med JT - Evidence-based complementary and alternative medicine : eCAM JID - 101215021 PMC - PMC9262526 COIS- The authors declare that there are no conflicts of interest regarding the publication of this article. EDAT- 2022/07/12 06:00 MHDA- 2022/07/12 06:01 PMCR- 2022/06/30 CRDT- 2022/07/11 04:30 PHST- 2021/07/23 00:00 [received] PHST- 2022/03/06 00:00 [revised] PHST- 2022/06/09 00:00 [accepted] PHST- 2022/07/11 04:30 [entrez] PHST- 2022/07/12 06:00 [pubmed] PHST- 2022/07/12 06:01 [medline] PHST- 2022/06/30 00:00 [pmc-release] AID - 10.1155/2022/3203158 [doi] PST - epublish SO - Evid Based Complement Alternat Med. 2022 Jun 30;2022:3203158. doi: 10.1155/2022/3203158. eCollection 2022.