Objective To systematically review the effect of different nutrient interventions on the physical function of elderly people with frailty through network meta-analysis. Methods The PubMed, Cochrane Library, EMbase and Web of Science were electronically searched to collect randomized controlled trials of different nutrient interventions on physical function of the elderly with frailty, from database inception to June 30, 2022. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Network meta-analysis was then performed using ADDIS 1.16.8, GeMTC 14.3, and Stata 15.0 software. Results A total of 13 studies involving 1 144 patients were included. There was no statistically significant difference in handgrip strength, time up to go test, gait speed, and short physical performance battery (SPPB) among different nutrient interventions. Significant differences were not found in vitamin D+ whey protein (VDWP) vs. placebo and Leu vs. placebo in handgrip strength, or VDWP vs. placebo in SPPB. The probability ranking diagram showed that the most effective of handgrip strength, time up to go test, gait speed, and SPPB were milk protein concentrate (MPC80), L-carnitime (L-Car), leucine (Leu), and MPC80, respectively. Conclusion The current evidence suggests that nutritional intervention did not significantly improve physical function in the frail elderly. MPC80, Leu, L-Car, and VDVEWP may play a role in improving the physical function of frail elderly people. Nutritional support programs that increase the above nutrients, combined with exercise training may become a better way to improve the physical function of frail elderly.
ObjectiveTo evaluate the diagnostic value of artificial intelligence (AI)-assisted diagnostic system for pulmonary cancer based on CT images.MethodsDatabases including PubMed, The Cochrane Library, EMbase, CNKI, WanFang Data and Chinese BioMedical Literature Database (CBM) were electronically searched to collect relevant studies on AI-assisted diagnostic system in the diagnosis of pulmonary cancer from 2010 to 2019. The eligible studies were selected according to inclusion and exclusion criteria, and the quality of included studies was assessed and the special information was identified. Then, meta-analysis was performed using RevMan 5.3, Stata 12.0 and SAS 9.4 softwares. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio were pooled and the summary receiver operating characteristic (SROC) curve was drawn. Meta-regression analysis was used to explore the sources of heterogeneity.ResultsTotally 18 studies were included with 4 771 patients. Random effect model was used for the analysis due to the heterogeneity among studies. The results of meta-analysis showed that the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnosis odds ratio and area under the SROC curve were 0.87 [95%CI (0.84, 0.90)], 0.89 [95%CI (0.84, 0.92)], 7.70 [95%CI (5.32, 11.15)], 0.14 [95%CI (0.11, 0.19)], 53.54 [95%CI (30.68, 93.42)] and 0.94 [95%CI (0.91, 0.95)], respectively.ConclusionAI-assisted diagnostic system based on CT images has high diagnostic value for pulmonary cancer, and thus it is worthy of clinical application. However, due to the limited quality and quantity of included studies, above results should be validated by more studies.
ObjectiveTo evaluate the diagnostic performance of different screening tools for sarcopenia in the community for the elderly with sarcopenia, and to provide evidence-based support for the accurate screening of elderly patients with sarcopenia. MethodsThe PubMed, Web of Science, Cochrane Library, Embase, CINAHL, VIP, CBM, and WanFang Data databases were searched by computer, and the relevant research on the diagnosis of sarcopenia in the elderly by publicly published risk screening tools was found. The retrieval time was from inception to June 2023. Two researchers independently screened the literature, extracted data, and evaluated the quality of the included studies, and then data analysis was performed by using Stata 15.1 and Meta Disc 1.4 software. ResultsA total of 24 studies were included, including 10 961 patients, involving 8 risk screening tools for sarcopenia in the elderly: leg circumference, MSRA-5, MSRA-7, upper arm circumference, ring test, Ishii score, SARC-CalF and SARC-F. Meta-analysis showed that the combined sensitivities of eight screening tools were 0.84 (95% CI 0.61 to 1.15), 0.82 (95% CI 0.48 to 1.38), 0.80 (95% CI 0.47 to 1.36) and 0.72 (95%CI 0.33 to 1.55), 0.67 (95%CI 0.37 to 1.21), 0.63 (95%CI 0.33 to 1.19), 0.49 (95%CI 0.38 to 0.63), 0.24 (95%CI 0.18 to 0.30), and the combined specificities were 0.39 (95%CI 0.18 to 0.82)、0.52 (95%CI 0.29 to 0.93)、0.54 (95%CI 0.29 to 1.03)、0.62 (95%CI 0.49 to 0.79)、0.63 (95%CI 0.50 to 0.78).The results of reticular meta-analysis showed that the surface under the cumulative ranking curve (SUCRA) of the eight screening tools ranked from high to low according to the cumulative sensitivity: calf circumference (67.4%) > MSRA-5 (65.3%) > MSRA-7 (64.1%) > upper arm circumference (54.5%) > ring test (46.5%) > Ishii score. The values of specificity SUCRA from highest to lowest were as follows: SARC-F (72.2%) > SARC-CALF (71.3%) > Ishii score (60.2%) > ring test (57.1%) > upper arm circumference (40.1%) > lower leg circumference (36.2%) > MSRA-5. ConclusionThe simple screening tool for common sarcopenia has high sensitivity and high specificity, so medical staff can give priority to the combination of the two screening tools, namely SARC-CalF. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
Objective
To explore relationship between body mass index and all-cause mortality or cancer-specific mortality of colorectal cancer.
Methods
The published articles relevant body mass index and colorectal cancer mortality were retrieved according to the inclusion and exclusion criteria from PubMed, Elsevier-Science Direct, and Web of Science databases. The meta-analysis was performed with RevMan 5.3 software.
Results
A total of 14 articles were eligible for the meta-analysis, involved 53 804 patients (colorectal cancer patients with underweight 1 853 cases, colorectal cancer patients with overweight 9 088 cases, colorectal cancer patients with obesity 4 463 cases). The results of meta-analysis showed that the colorectal cancer patients with obesity and underweight had the higher all-cause mortalities 〔RR=1.11, 95% CI (1.06, 1.16), P<0.000 01; RR=1.34, 95% CI (1.11, 1.61), P=0.002〕 and colorectal cancer-specific mortalities 〔RR=1.15, 95% CI (1.05, 1.24), P=0.001; RR=1.33, 95% CI (1.09, 1.62), P=0.005〕 as compared with the colorectal cancer patients with normal weight. The all-cause mortality and colorectal cancer-specific mortality had no significant differences between the colorectal cancer patients with overweight and the colorectal cancer patients with normal weight 〔RR=0.96, 95% CI (0.89, 1.04), P=0.31; RR=1.00, 95% CI (0.90, 1.12), P=0.98〕 .
Conclusion
Colorectal cancer patients with obesity and underweight might have a higher mortality rate.
The R software bmeta package is a package that implements Bayesian meta-analysis and meta-regression by invoking JAGS software. The program is based on the Markov Chain Monte Carlo (MCMC) algorithm to combine various effect quantities (OR, MD and IRR) of different types of data (dichotomies, continuities and counts). The package has the advantages of fewer command function parameters, rich models, powerful drawing function, easy of understanding and mastering. In this paper, an example is presented to demonstrate the complete operation flow of bmeta package to implement bayesian meta-analysis and meta-regression.
ObjectiveTo systematically review the efficacy of Chinese medicine injection (CMI) for treating heart failure (HF).MethodsCNKI, WanFang Data, VIP, The Cochrane Library, PubMed, and EMbase databases were electronically searched from inception to January 2021 to identify randomized controlled trials (RCTs) on CMI for treating HF. Two reviewers independently screened literature, extracted data, and evaluated the risk of bias of included studies. Network meta-analysis was then performed by RevMan 5.2 software and Stata 16.0 software.ResultsA total of 47 studies were included involving 4 902 patients and 5 types of CMIs, including Shenmai, Shenfu, Yiqi Fumai (lyophilized), Shengmai, and Danhong injections. The results of network meta-analysis showed that the efficacy of combined CMIs was superior to conventional Western medicine alone. For the main efficacy, Shenmai, Shengmai, and Shenfu injections had significant advantages in improving the total clinical effectiveness. Shengmai, Shenmai, and Yiqi Fumai (lyophilized) injections were significantly more effective for reducing NT pro-BNP levels than other injections. Shenfu and Shengmai injections were significantly more effective for reducing BNP levels than other injections. Shenmai, Danhong and Shengmai injections were significantly more effective for improving the left ventricular ejection fraction than the other injections. These CMIs showed similar advantages for secondary efficacy indicators as for main efficacy indicators.ConclusionsThe combined 5 types of CMIs for treating HF can improve the clinical efficacy when compared with conventional Western medicine treatment. Shenmai injection, Yiqi Fumai injection (lyophilized), and Shengmai injection, which is part of Sheng Mai San, have clear advantages in terms of the overall curative effect or on individual indices.
Dose-response meta-analysis serves an important role in investigating the dose-response relationship between independent variables (e.g. dosage) and disease outcomes. Traditional dose-response meta-analysis model is based on one independent variable to consider its own dose-specific effect on the outcome. However, for drug clinical trials, it generally involves two-dimensions of the treatment, such as dosage and course of treatment. These two-dimensions tend to be associated with each other. When neglecting their correlations, the results may be at risk of bias. Moreover, taking account of the "combined effect” of dosage and time on outcome has more clinical value. Therefore, in this article, based on traditional dose-response meta-analysis model, we propose a three-dimension model for dose-response meta-analysis which considers both the effect of dosage and time, to provide a solution for the above-mentioned problems in a traditional model.
Objective To systematically evaluate the effect of vitamin C supplementation on the mortality of patients with sepsis and septic shock. Methods The Cochrane Library, PubMed, EMbase, Wanfang Data Knowledge Service Platform, China National Knowledge Infrastructure Database and Chinese Science and Technology Periodical Database were searched by computer for randomized controlled trials (RCTs) on the effect of vitamin C on the mortality of patients with sepsis. The retrieval time of each database was from the establishment of the database to January 20, 2022. Two researchers independently screened the literature, extracted data, and evaluated the quality, and then used STATA 16.0 software for meta-analysis. Results A total of 15 RCTs were included, with a total of 2077 patients, including 1041 in the experimental group and 1036 in the control group. The results of literature quality showed that 7 studieswere grade A and 8 studies were grade B, indicating that the overall quality of the included literature was good. The results of meta-analysis showed that compared with the control group, the mortality of patients with sepsis and septic shock in the experimental group were effectively reduced [odds ratio (OR)=0.81, 95% confidential interval (CI) 0.67 - 0.98, P=0.027]. The results of subgroup analysis showed that vitamin C supplementation therapy for more than 4 days could significantly reduce the mortality of the patients with sepsis (OR=0.67, 95%CI 0.49 - 0.90, P=0.008); single treatment could significantly reduce the mortality rate of patients with sepsis (OR=0.50, 95%CI 0.34 - 0.74, P=0.001); vitamin C supplementation can effectively reduce the short-term (≤30 days) mortality of patients with sepsis (OR=0.77, 95%CI 0.63 - 0.96, P=0.017). The funnel plot showed that the included literature was basically symmetrical, and publication bias could not be considered. Conclusions Vitamin C supplementation can effectively reduce the mortality rate of patients with sepsis and septic shock. Vitamin C supplementation treatment course of 4 days or less and single treatment can reduce the mortality rate of patients with sepsis and septic shock, but cannot reduce the long-term (90 days) mortality rate of patients.
Objective To evaluate the efficiency of prevention and control strategies of carbapenem-resistant organism (CRO) in medical institutions in China using meta-analysis method. Methods PubMed, Embase, Medline (Ovid), Web of Science, China National Knowledge Infrastructure, Chongqing VIP and Wanfang Database were systematically searched for studies on CRO prevention and control in Chinese medical institutions from the establishment of databases to 2023 for meta-analysis. Results A total of 21 studies were included, consisting of 3 randomized controlled studies and 18 non-randomized controlled studies. The meta-analysis results showed that compared with standard prevention and control measures, strengthened intervention measures (including active screening, information-based transparent supervision mode, comprehensive intervention, and bundled prevention and control strategies) could effectively reduce the CRO infection rate [relative risk (RR)=0.40, 95% confidence interval (CI) (0.25, 0.65), P<0.05]. Proactive screening could effectively reduce the CRO infection rate [RR=0.52, 95%CI (0.30, 0.91), P<0.05] and carbapenem-resistant Enterobacteriaceae (CRE) infection rate [RR=0.47, 95%CI (0.24, 0.93), P<0.05]. Information-based transparent supervision could reduce the CRE infection rate by improving compliance with standard prevention and control measures [RR=0.42, 95%CI (0.28, 0.62), P<0.05]. Conclusions Compared with standard prevention and control measures, strengthened intervention measures can effectively reduce the risk of in-hospital transmission and infection of CRO. In clinical practice, bundled comprehensive intervention can be combined with information-based transparent supervision, and if necessary, proactive screening of CRO in high-risk populations should be carried out.
ObjectiveTo evaluate the changes of left ventricular morphology and contractile function of patients with mitral stenosis and small left ventricle after mitral valve replacement.
MethodsStudies on the changes of left ventricular morphology and contractile function of patients with mitral stenosis and small left ventricle after mitral valve replacement were searched from the databases of Wangfang, VIP, CNKI, PubMed, Elsevier Science Direct, and Cochrane Library from establishment to January 2015. Quality of articles was evaluated. Relevant data were extracted from eligible studies to conduct meta-analysis. Mean differences (MD) of left ventricle end-diastolic volume index (LVEDVI), left ventricle end-diastolic diameter (LVEDD), left ventricular ejection fraction (LVEF) and left ventricular fraction shortening (LVFS) between the preoperative and the postoperative value from eligible studies were analyzed and pooled, and their 95% confidence intervals (CI) were calculated. R2.15.3 software was applied for statistical analysis.
ResultsEight eligible studies involving 446 patients were analyzed in the study. The quality of included literature was high. The results of meta-analysis showed that LVEDVI and LVEDD increased by 14.51 ml/m2 with 95%CI -22.78 to -6.25 (P<0.01) and 4.88 mm with 95%CI -10.85 to 1.09 (P=0.11) respectively at 2 weeks postoperatively compared with preoperative value. LVEF decreased by 3.05% with 95%CI -3.02% to 9.12% (P=0.32) while LVFS increased by 1.16% with 95%CI -4.83% to 2.50% (P=0.53) at 2 weeks postoperatively. Compared with preoperative value, LVEDVI and LVEDD markedly increased by 16.11 ml/m2 with 95%CI -20.32 to -11.90 (P<0.01) and 10.56 mm with 95%CI -11.52 to -9.60 (P<0.01) respectively at 6 months postoperatively. LVEF and LVFS increased by 7.69% with 95%CI -17.18% to 1.8% (P=0.11) and 6.21% with 95%CI -10.07% to -2.36% (P<0.01) respectively at 6 months postoperatively compared with preoperative value.
ConclusionLeft ventricular morphology and contractile function of patients with mitral stenosis and small left ventricle recovers well after mitral valve replacement.
