Objective To analyze the substitution mechanism of surrogate endpoints for traditional Chinese medicine (TCM) clinical efficacy evaluation of chronic heart failure (CHF). Methods To obtain data from the occurrence of surrogate endpoints and cardiogenic death of patients with CHF in 7 hospitals. The causal relationship between surrogate endpoints and cardiogenic mortality was inferred by the Bayesian network model, and the interaction among surrogate endpoints was analyzed by non-conditional logistic regression model. Results A total of 2 961 patients with CHF were included. The results of Bayesian network causal inference showed that cardiogenic mortality had a causal relationship with the surrogate endpoints including NYHA classification (P=0.46), amino-terminal pro-B-type natriuretic peptide (NT-proBNP) (P=0.24), left ventricular ejaculation fraction (LVEF) (P=0.19), and hemoglobin (HB) (P=0.11); non-conditional logistic regression analysis showed that NYHA classification had interaction with NT-proBNP, LVEF, and HB prior to and after adjusting confounders. Conclusions The substitution capability of surrogate endpoints for TCM clinical efficacy evaluation of CHF for cardiogenic mortality are NYHA classification, NT-proBNP, LVEF, and HB in turn, and there is a multiplicative interaction between the main surrogate endpoint NYHA classification and the secondary surrogate endpoints including NT-proBNP, LVEF, and HB, suggesting that when the two surrogate endpoints with interaction exist at the same time, it can enhance the substitution capability of surrogate endpoints for cardiogenic mortality.
ObjectiveTo overview of systematic reviews (SRs) of Yiqi Fumai (YQFM) injection in the treatment of chronic heart failure (CHF). MethodsThe PubMed, Cochrane Library, EMbase, Web of Science, CNKI, CBM and WanFang Data databases were electronically searched to collect SRs of YQFM injection in the treatment of CHF from January 1, 2007 to October 31, 2022. Two reviewers independently screened literature, extracted data and assessed methodological quality, risk of bias, report quality and evidence quality by using AMSTAR-2, ROBIS scale, PRISMA, and GRADE system. ResultsA total of 7 SRs were included. The evaluation results showed that the quality of all SRs was low, a few SRs were assessed as having a low risk of bias, and all SRs were relatively completely reported. A total of 46 results were extracted from the included SRs, including 3 with moderate quality evidence, 12 with low quality evidence and 31 with very low quality evidence. ConclusionYQFM may be an effective and safe treatment, but current evidence quality is low.
ObjectiveTo systematically review the application status of Delphi method in clinical research of traditional Chinese medicine (TCM).MethodsPubMed, EMbase, CNKI, WanFang Data and VIP databases were electronically searched to collect original research and methodological research on Delphi method in TCM from inception to August 30th, 2020. Two reviewers independently screened literature, extracted data, and then, descriptive analysis was performed by using qualitative methods.ResultsA total of 612 articles involving 573 original studies and 39 methodological studies were included, which involved 167 types of diseases. The primary research purposes were disease diagnosis and treatment, syndrome research, scale development, evaluation research, index research, clinical investigation, methodology research, and other 8 categories. 487 papers reported the implementation process and results of Delphi method in varying degrees.ConclusionsDelphi method is widely used in clinical research of TCM, however, there are deficiencies in the specific implementation process.
[Abstract]Automatic and accurate segmentation of lung parenchyma is essential for assisted diagnosis of lung cancer. In recent years, researchers in the field of deep learning have proposed a number of improved lung parenchyma segmentation methods based on U-Net. However, the existing segmentation methods ignore the complementary fusion of semantic information in the feature map between different layers and fail to distinguish the importance of different spaces and channels in the feature map. To solve this problem, this paper proposes the double scale parallel attention (DSPA) network (DSPA-Net) architecture, and introduces the DSPA module and the atrous spatial pyramid pooling (ASPP) module in the “encoder-decoder” structure. Among them, the DSPA module aggregates the semantic information of feature maps of different levels while obtaining accurate space and channel information of feature map with the help of cooperative attention (CA). The ASPP module uses multiple parallel convolution kernels with different void rates to obtain feature maps containing multi-scale information under different receptive fields. The two modules address multi-scale information processing in feature maps of different levels and in feature maps of the same level, respectively. We conducted experimental verification on the Kaggle competition dataset. The experimental results prove that the network architecture has obvious advantages compared with the current mainstream segmentation network. The values of dice similarity coefficient (DSC) and intersection on union (IoU) reached 0.972 ± 0.002 and 0.945 ± 0.004, respectively. This paper achieves automatic and accurate segmentation of lung parenchyma and provides a reference for the application of attentional mechanisms and multi-scale information in the field of lung parenchyma segmentation.
ObjectiveTo systematically summarize and evaluate the existing evidence of Qishen Yiqi dropping pill (QSYQ) in the treatment of chronic heart failure (CHF), and to evaluate its quality. MethodsThe PubMed, Cochrane Library, EMbase, Web of Science, CNKI, CBM, WanFang Data databases were electronically searched to collect systematic reviews/meta-analyses(SRs/MAs) related to objectives from inception to December 31, 2022. Two researchers independently screened the literature and extracted data, and assessed the methodological quality, risk of bias, reporting quality, and quality of evidence of included SRs/MAs by using Assessment of Multiple Systematic Reviews 2 (AMSTAR-2), the Risk of Bias in Systematic(ROBIS) scale, the list of Preferred Reporting Items for Systematic Reviews and Meta-Analysis(PRISMA), and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. ResultsThis overview included 17 SRs/MAs. The methodological quality, reporting quality, risk of bias, and quality of evidence for outcome measures of SRs/MAs were all unsatisfactory. All SRs/MAs were of low quality according to the results of the AMSTAR-2 assessment. And only a small number of SRs/MAs were assessed as low risk of bias based on the results of the ROBIS assessment. The evaluation results of the PRISMA checklist showed that the report quality of the 24 studies included was relatively complete. According to the GRADE system evaluation results, 94% of the 84 outcome indicators were low-quality and very low-quality evidence. Limitations were the main factors leading to their degradation, followed by publication bias, inconsistency, imprecision and indirectness. ConclusionAt present, QSYQ has good clinical efficacy in the treatment of CHF, but the standardization and scientificity of clinical research and secondary research reports are insufficient, resulting in low quality of clinical recommendations evidence. In the future, it is necessary to further standardize and improve the quality of clinical and secondary research.
Objective To explore the clinical characteristics of patients who were infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) of different genotypes. Methods A retrospective study was conducted on 111 SARS-CoV-2 infected cases at home and abroad admitted to Chengdu Public Health Clinical Medical Center between January and September 2020. The basic information, gene sequencing results (Pangolin typing method), clinical typing, first laboratory examinations 24 hours after admission, and whether repositive after discharge were collected. According to Pangolin typing, patients were divided into five groups: A, B, B.X, B.1.X and B.1.1.X. The basic information (age, sex, and origin), laboratory test results (lymphocyte count, C-reactive protein, serum amyloid A, CD3+ T lymphocytes, CD4+ T lymphocytes, and CD8+ T lymphocytes), clinical classification and whether repositive were compared among different genotype infected patients. Results Among the 111 infected patients, 54 (48.6%) were males and 57 (51.4%) were females. Their ages ranged from 16 to 87 years, with a median age of 49 years. In terms of clinical classification, there were 10 asymptomatic cases (9.0%), 10 mild cases (9.0%), 64 ordinary cases (57.7%), 13 severe cases (11.7%), and 14 critical cases (12.6%). There were 75 domestic cases (67.6%) and 36 imported cases (32.4%). Eighty cases (72.1%) did not return to positive, and 31 cases (27.9%) returned to positive. There were 8 cases infected by type A virus, 18 cases infected by type B virus, 26 cases infected by type B.X virus, 5 cases infected by type B.1.X virus, and 54 cases infected by type B.1.1.X virus. Among patients infected by different genotype viruses, no statistically significant difference was found in sex, age, clinical type, laboratory examination, or whether repositive (P>0.05), but there was statistically significant difference in the distribution of domestic and imported cases (P=0.016). Type B virus infected patients were mostly domestic cases, while type B.X virus infected patients were mostly imported cases. Conclusion The distribution of domestic and imported cases is different among SARS-CoV-2 of different genotypes.