2.Why Perform Meta-Analysis?.
Hanyang Medical Reviews 2015;35(1):1-2
No abstract available.
Meta-Analysis as Topic
4.Applications of meta-analysis in multi-omics.
Chinese Journal of Biotechnology 2014;30(7):1094-1104
As a statistical method integrating multi-features and multi-data, meta-analysis was introduced to the field of life science in the 1990s. With the rapid advances in high-throughput technologies, life omics, the core of which are genomics, transcriptomics and proteomics, is becoming the new hot spot of life science. Although the fast output of massive data has promoted the development of omics study, it results in excessive data that are difficult to integrate systematically. In this case, meta-analysis is frequently applied to analyze different types of data and is improved continuously. Here, we first summarize the representative meta-analysis methods systematically, and then study the current applications of meta-analysis in various omics fields, finally we discuss the still-existing problems and the future development of meta-analysis.
Genomics
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Meta-Analysis as Topic
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Proteomics
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Statistics as Topic
7.Tools for Quality Evaluation of Clinical Research Reports.
Cheolmin SHIN ; Changsu HAN ; Chi Un PAE ; Ashwin A PATKAR
Korean Journal of Psychopharmacology 2011;22(2):67-72
Quality of medical research reports should be evaluated before they are applied to clinical practice. Since 1990s, several guidelines on research reports were suggested. Most recently published Consolidated Standards of Reporting Trials statement 2010 consists of 25 checklists and flow diagram for reporting an randomized controlled trial. Strengthening the reporting of observational studies in epidemiology statement is a checklist of items that should be addressed in articles reporting on the observational studies in epidemiology. TREND statement for the reporting of nonrandomized designs consists of 22 checklists. The Quality of Reporting of Meta-analyses checklist proposes to provide checklist and flow diagram for reporting of meta-analyses. The Meta-analysis of Observational Studies in Epidemiology statement proposes a checklist for compensating the study errors about observational studies in epidemiology. After development of reporting guidelines, improvements in the quality of reports are continuously reported, so using guidelines in the medical research will be expected to be more generalized.
Checklist
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Meta-Analysis as Topic
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Research Report
8.Evaluation of immune persistence of vaccine.
Ying CHEN ; Hong Lu ZHOU ; Yu Liang ZHAO ; Xuan Yi WANG
Chinese Journal of Preventive Medicine 2022;56(2):212-217
The evaluation methods of immune persistence include direct evaluation, indirect evaluation, model prediction, and meta-analysis and so on. Direct evaluation is the gold standard for evaluating the immune persistence of vaccines by quantifying the protective effect of vaccines on the onset and (or) infection of preventable diseases. Indirect evaluation of immune persistence by immunological surrogate indicators is more widely used in practice. In addition, mathematical models and meta-analysis can also be used to evaluate the immune persistence of vaccines. It is of great significance to select the appropriate evaluation method to analyze the immune persistence of the vaccine according to the specific situation.
Humans
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Immunity
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Meta-Analysis as Topic
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Vaccines/immunology*
9.Assessment for Risk of Bias in Systematic Reviews and Meta-Analyses in the Field of Hepatology.
Gaeun KIM ; Youn Zoo CHO ; Soon Koo BAIK
Gut and Liver 2015;9(6):701-706
A systematic review (SR) provides the best and most objective analysis of the existing evidence in a particular field. SRs and derived conclusions are essential for evidence-based strategies in medicine and evidence-based guidelines in clinical practice. The popularity of SRs has also increased markedly in the field of hepatology. However, although SRs are considered to provide a higher level of evidence with greater confidence than original articles, there have been no reports on the quality of SRs and meta-analyses (MAs) in the field of hepatology. Therefore, we performed a quality assessment of 225 SRs and MAs that were recently published in the field of hepatology (January 2011 to September 2014) using A MeaSurement Tool to Assess systematic Reviews (AMSTAR). Using AMSTAR, we revealed both a shortage of assessments of the scientific quality of individual studies and a publication bias in many SRs and MAs. This review addresses the concern that SRs and MAs need to be conducted in a stricter and more objective manner to minimize bias and random errors. Thus, SRs and MAs should be supported by a multi-disciplinary approach that includes clinical experts, methodologists, and statisticians.
*Gastroenterology
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Humans
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*Meta-Analysis as Topic
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*Publication Bias
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*Review Literature as Topic
10.Meta-epidemiology.
Epidemiology and Health 2014;36(1):e2014019-
The concept of meta-epidemiology has been introduced with considering the methodological limitations of systematic review for intervention trials. The paradigm of meta-epidemiology has shifted from a statistical method into a new methodology to close gaps between evidence and practice. Main interest of meta-epidemiology is to control potential biases in previous quantitative systematic reviews and draw appropriate evidences for establishing evidence-base guidelines. Nowadays, the network meta-epidemiology was suggested in order to overcome some limitations of meta-epidemiology. To activate meta-epidemiologic studies, implementation of tools for risk of bias and reporting guidelines such as the Consolidated Standards for Reporting Trials (CONSORT) should be done.
Bias (Epidemiology)
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Epidemiology
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Meta-Analysis as Topic
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Review Literature as Topic