Reporting characteristics and quality of randomized controlled trial protocols in traditional Chinese medicine: a cross-sectional study.

Objectives: The impact of the Standard Protocol Items: Recommendations for Interventional Trials of Traditional Chinese Medicine (SPIRIT-TCM) Extension 2018 statement on the reporting quality of randomized controlled trial (RCT) protocols in traditional Chinese medicine (TCM) is not clear. This review aimed to assess the reporting characteristics and quality of RCT protocols involving interventions such as Chinese herbal medicine formulas (CHMF), acupuncture, and moxibustion published in the last 3 years. Methods: We conducted an extensive search among multiple databases, including All EBM Reviews, Allied and Complementary Medicine (AMED), Embase, Ovid MEDLINE(R), PubMed, Web of Science, Google Scholar, and ClinicalTrials.gov for publications in English from 1 January 2020 to 10 August 2023. Two reviewers independently assessed the eligibility of the publications, extracted predetermined information, and evaluated the reporting based on the SPIRIT-TCM Extension 2018 checklist. Results: Of the 420 eligible protocols (comprising 163 studies on CHMF, 239 on acupuncture, and 18 on moxibustion), the average reporting compliance rate was only 35.4%. Approximately half of the assessed items fell into the category of poorly reported, demonstrating a compliance rate below 65%. Notably, reporting compliance in acupuncture and moxibustion interventional studies exhibited higher scores than compliance in CHMF studies. Conclusion: Continued, concerted, and coordinated efforts are required by journals, editors, reviewers, and investigators to improve the application and promotion of the SPIRIT-TCM Extension 2018 reporting guideline.

Integration of machine learning to identify diagnostic genes in leukocytes for acute myocardial infarction patients.

BACKGROUND: Acute myocardial infarction (AMI) has two clinical characteristics: high missed diagnosis and dysfunction of leukocytes. Transcriptional RNA on leukocytes is closely related to the course evolution of AMI patients. We hypothesized that transcriptional RNA in leukocytes might provide potential diagnostic value for AMI. Integration machine learning (IML) was first used to explore AMI discrimination genes. The following clinical study was performed to validate the results. METHODS: A total of four AMI microarrays (derived from the Gene Expression Omnibus) were included in bioanalysis (220 sample size). Then, the clinical validation was finished with 20 AMI and 20 stable coronary artery disease patients (SCAD). At a ratio of 5:2, GSE59867 was included in the training set, while GSE60993, GSE62646, and GSE48060 were included in the testing set. IML was explicitly proposed in this research, which is composed of six machine learning algorithms, including support vector machine (SVM), neural network (NN), random forest (RF), gradient boosting machine (GBM), decision trees (DT), and least absolute shrinkage and selection operator (LASSO). IML had two functions in this research: filtered optimized variables and predicted the categorized value. Finally, The RNA of the recruited patients was analyzed to verify the results of IML. RESULTS: Thirty-nine differentially expressed genes (DEGs) were identified between controls and AMI individuals from the training sets. Among the thirty-nine DEGs, IML was used to process the predicted classification model and identify potential candidate genes with overall normalized weights > 1. Finally, two genes (AQP9 and SOCS3) show their diagnosis value with the area under the curve (AUC) > 0.9 in both the training and testing sets. The clinical study verified the significance of AQP9 and SOCS3. Notably, more stenotic coronary arteries or severe Killip classification indicated higher levels of these two genes, especially SOCS3. These two genes correlated with two immune cell types, monocytes and neutrophils. CONCLUSION: AQP9 and SOCS3 in leukocytes may be conducive to identifying AMI patients with SCAD patients. AQP9 and SOCS3 are closely associated with monocytes and neutrophils, which might contribute to advancing AMI diagnosis and shed light on novel genetic markers. Multiple clinical characteristics, multicenter, and large-sample relevant trials are still needed to confirm its clinical value.

[Establishment and application of Chinese Pediatric Evaluation of Disability Inventory norms in Chongqing, China].

OBJECTIVE: To establish the Chinese Pediatric Evaluation of Disability Inventory (PEDI) norms in Chongqing, China. METHODS: PEDI (English version) was translated into Chinese and proof read by back-translation. A total of 1 140 children stratified by age were randomly selected from Chongqing and evaluated by the Chinese version of the PEDI. The obtained data were statistically analyzed. RESULTS: Of 1 140 questionnaires, 1 075 (94.3%) were valid. The data showed that the raw and scale scores of PEDI increased with age, but the standard scores did not increase with age. The raw, scale, and standard scores on self-care and social function scales were significantly lower than American PEDI norms in some age periods (P<0.05), but the raw, scale, and standard scores on mobility scale were not significantly different from American norms (P>0.05). CONCLUSIONS: The PEDI norms in Chongqing have been successfully established, and can be used to assess the daily function in children, judge the degree of daily function impairment, evaluate the effect of rehabilitation training, and make the rehabilitation plan for disabled children.