matching recombination indirect comparisons and network meta-analysis between syndrome differentiation-based acupuncture or not for primary insomnia
Description
To evaluate the importance of point selection based on syndrome differentiation by re-analyzing the trials' results in treating primary insomnia with acupuncture. We systematically searched 9 databases for eligible trials. Two authors extracted data independently from citations, interventions, and outcomes. Since the "treatment acupuncture" and "control acupuncture" data compared in this study were from different trials, we matched the data in a 1:1 ratio and minimized heterogeneity between the paired groups. Matching factors included age, sex ratio, and the baseline Pittsburgh Sleep Quality Index (PSQI) score. Meta-analyses were performed using Revman 5.4 software. Effect estimation presented continuous data with a standard mean difference (SMD) with a 95% confidence interval (CI). Besides the recombination indirect comparison, STATA 15.0 was used for network meta-analysis of all included trials. In this dataset, we summarized all the information from 172 included trials, including the main data needed for our meta analysis.
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Steps to reproduce
Review Manager (version 5.4.1, Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration) was used for meta-analysis of the paired data. The PSQI score was reported using standardized mean difference (SMD) and 95% confidence interval (CI). Considering the potential significant heterogeneity (I2＞50%) among the matched groups, the random effects model was used for meta-analysis. The I2 value was used to test whether each group had good homogeneity. STATA (version 15.0; STATA Corporation, College Station, TX, USA) was used for network meta-analysis of all included trials. The PSQI score was reported using MD and 95% CI. An inconsistency check was conducted if a closed loop was present in the network plot. The test level was set at ɑ=0.05. Inconsistency was deemed to exist if P<0.05. In cases where inconsistency was detected, the network meta-analysis was conducted using the inconsistency model. The network meta-analysis was performed using the consistency model if there were no closed loops in the network graph or if the closed loops showed consistency. STATA software was utilized to generate the network relationship plot, a line graph of the surface under the cumulative ranking (SUCRA), and to perform probability ranking.
Institutions
- Beijing University of Chinese Medicine