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Korean Journal of Anesthesiology Oct 2021Most diseases have more than two interventions or treatment methods, and the application of network meta-analysis (NMA) studies to compare and evaluate the superiority... (Meta-Analysis)
Meta-Analysis Review
Most diseases have more than two interventions or treatment methods, and the application of network meta-analysis (NMA) studies to compare and evaluate the superiority of each intervention or treatment method is increasing. Understanding the concepts and processes of systematic reviews and meta-analyses is essential to understanding NMA. As with systematic reviews and meta-analyses, NMA involves specifying the topic, searching for and selecting all related studies, and extracting data from the selected studies. To evaluate the effects of each treatment, NMA compares and analyzes three or more interventions or treatment methods using both direct and indirect evidence. There is a possibility of several biases when performing NMA. Therefore, key assumptions like similarity, transitivity, and consistency should be satisfied when performing NMA. Among these key assumptions, consistency can be evaluated and quantified by statistical tests. This review aims to introduce the concepts of NMA, analysis methods, and interpretation and presentation of the results of NMA. It also briefly introduces the emerging issues in NMA, including methods for evaluation of consistency.
Topics: Bias; Humans; Network Meta-Analysis; Systematic Reviews as Topic
PubMed: 34551467
DOI: 10.4097/kja.21358 -
Briefings in Bioinformatics Nov 2021Over the past few years, meta-analysis has become popular among biomedical researchers for detecting biomarkers across multiple cohort studies with increased predictive... (Meta-Analysis)
Meta-Analysis Review
Over the past few years, meta-analysis has become popular among biomedical researchers for detecting biomarkers across multiple cohort studies with increased predictive power. Combining datasets from different sources increases sample size, thus overcoming the issue related to limited sample size from each individual study and boosting the predictive power. This leads to an increased likelihood of more accurately predicting differentially expressed genes/proteins or significant biomarkers underlying the biological condition of interest. Currently, several meta-analysis methods and tools exist, each having its own strengths and limitations. In this paper, we survey existing meta-analysis methods, and assess the performance of different methods based on results from different datasets as well as assessment from prior knowledge of each method. This provides a reference summary of meta-analysis models and tools, which helps to guide end-users on the choice of appropriate models or tools for given types of datasets and enables developers to consider current advances when planning the development of new meta-analysis models and more practical integrative tools.
Topics: Algorithms; Data Analysis; Decision Trees; Humans; Meta-Analysis as Topic; Software; Workflow
PubMed: 34415019
DOI: 10.1093/bib/bbab324 -
Research Synthesis Methods Nov 2021Meta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments...
Meta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments simultaneously in a systematic review of multiple clinical trials. Although the practical utility of meta-analysis is apparent, it is not always straightforward to implement, especially for those interested in a Bayesian approach. This paper demonstrates that the recently-developed SAS procedure BGLIMM provides an intuitive and computationally efficient means for conducting Bayesian meta-analysis in SAS, using a worked example of a smoking cessation NMA data set. BGLIMM gives practitioners an effective and simple way to implement Bayesian meta-analysis (pairwise and network, either contrast-based or arm-based) without requiring significant background in coding or statistical modeling. Those familiar with generalized linear mixed models, and especially the SAS procedure GLIMMIX, will find this tutorial a useful introduction to Bayesian meta-analysis in SAS.
Topics: Bayes Theorem; Linear Models; Meta-Analysis as Topic; Models, Statistical; Network Meta-Analysis; Smoking Cessation
PubMed: 34245227
DOI: 10.1002/jrsm.1513 -
Ultrasound in Obstetrics & Gynecology :... Jun 2020
Topics: Data Accuracy; Humans; Meta-Analysis as Topic
PubMed: 32478980
DOI: 10.1002/uog.22060 -
Journal of Anesthesia Aug 2022We aimed to provide clinicians with introductory guidance for interpreting and assessing confidence in on Network meta-analysis (NMA) results. (Meta-Analysis)
Meta-Analysis Review
PURPOSE
We aimed to provide clinicians with introductory guidance for interpreting and assessing confidence in on Network meta-analysis (NMA) results.
METHODS
We reviewed current literature on NMA and summarized key points.
RESULTS
Network meta-analysis (NMA) is a statistical method for comparing the efficacy of three or more interventions simultaneously in a single analysis by synthesizing both direct and indirect evidence across a network of randomized clinical trials. It has become increasingly popular in healthcare, since direct evidence (head-to-head randomized clinical trials) are not always available. NMA methods are categorized as either Bayesian or frequentist, and while the two mostly provide similar results, the two approaches are theoretically different and require different interpretations of the results.
CONCLUSIONS
We recommend a careful approach to interpreting NMA results and the validity of an NMA depends on its underlying statistical assumptions and the quality of the evidence used in the NMA.
Topics: Bayes Theorem; Network Meta-Analysis
PubMed: 35641661
DOI: 10.1007/s00540-022-03072-5 -
Medicine Dec 2020As a common symptom of perimenopausal period, perimenopausal insomnia brings great pain to many women and families. Acupuncture has been accepted by people as the...
BACKGROUND
As a common symptom of perimenopausal period, perimenopausal insomnia brings great pain to many women and families. Acupuncture has been accepted by people as the incidence rate of this disease increases. The purpose of this study is to systematically compare the safety and efficacy of various acupuncture treatments for perimenopausal insomnia through network meta-analysis.
METHODS
We will search Web of Science, PubMed, The Cochrane Library, Embase, Chinese National Knowledge Infrastructure (CNKI), Wan Fang Date, VIP database, conference papers and grey literature. All relevant Randomized controlled trial (RCT) using acupuncture for perimenopausal insomnia will be included. Two reviewers will independently search and screen date. Network meta-analysis will be completed by Stata and WinBUGS software.
RESULTS
This study will compare the efficacy and safety of different acupuncture treatments for perimenopausal insomnia.
CONCLUSION
The result of this study will provide reliable evidence for evaluating the efficacy and safety of acupuncture in the treatment of perimenpausal insomnia.
INPLASY REGISTRATION NUMBER
INPLASY2020110047.
Topics: Female; Humans; Acupuncture Therapy; Network Meta-Analysis; Perimenopause; Sleep Initiation and Maintenance Disorders; Meta-Analysis as Topic
PubMed: 33350757
DOI: 10.1097/MD.0000000000023741 -
British Journal of Anaesthesia Oct 2016
Topics: Humans; Meta-Analysis as Topic; Review Literature as Topic
PubMed: 28077528
DOI: 10.1093/bja/aew264 -
The Journal of Clinical Pediatric... 2017Systematic reviews and meta-analysis seek to answer a pre-framed research question to lead to a valid answer through a systematic, explicit and reproducible method of...
Systematic reviews and meta-analysis seek to answer a pre-framed research question to lead to a valid answer through a systematic, explicit and reproducible method of locating; identifying, including and appraising appropriate trials. The results are synthesized considering the methodological rigor of included trials. While the meta-analysis quantitatively pools the results from individual included studies, the systematic review summarizes the findings as qualitative conclusions. These reviews are crux of evidence based dentistry for various stake-holders, i.e., clinicians, researchers and policy-makers. Although the meticulous methodology of systematic review and meta-analysis minimizes the elements of bias, yet the validity and reliability of their findings should be explored prior to translating their conclusions to practice. The goal of this paper is to familiarize readers with rationale, conduct and appraisal of systematic review and meta-analysis. Further, guidance is provided on tracing potential elements of bias in the review to enable readers to judge the quality of evidence generated from the review.
Topics: Evidence-Based Dentistry; Humans; Meta-Analysis as Topic; Review Literature as Topic
PubMed: 28872991
DOI: 10.17796/1053-4628-41.5.317 -
JAMA Network Open Aug 2022
Topics: Humans; Meta-Analysis as Topic
PubMed: 36001322
DOI: 10.1001/jamanetworkopen.2022.28541 -
Journal of Cachexia, Sarcopenia and... Jun 2018
Topics: Humans; Meta-Analysis as Topic; Systematic Reviews as Topic
PubMed: 29873945
DOI: 10.1002/jcsm.12312