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© 2015 Hanyang University College of Medicine 1 http://www.e-hmr.org

The increase in medical research published recently demands methods to convey information. Even though traditional narra- tive reviews provide summary information, biases associated with this type of review raised questions about the possibility of wide- spread application of narrative review as a guide practice.

Iain Chalmers cited an example of crib death or sudden infantile death syndrome (SIDS) in a lecture [1]. The main topic was that we were in a world where the application of any treatment would be evaluated repeatedly. He suggested that we should take a look at the basic of evidence rather than looking at any investigation alone.

Gilbert et al. suggested that systematic review and meta-analysis of risk factors for infantile crib death from 1970 would have led to ear- ly recognition of the risks of sleeping face down and might have pre- vented many of infantile deaths during the several decades since the 1950s [2]. For these reasons, clinicians in several areas have been moved away from the traditional narrative review and adopt- ed systematic reviews and meta-analysis.

The main purpose of the narrative review prior to the 1990s was to combine data from various studies. However, this review has some serious limitations of inherent subjectivity coupled with lack of transparency. The second limitation of this review is that review- ers have difficulty in understanding how the effect size varies as a study level covariates if the number of studies increases. A clear and

transparent set of rules is used to search and include studies for sys- tematic review and meta-analysis. Meta-analysis is an important process in most systematic reviews and refers to the statistical syn- thesis of a data from a series of a study. Statistical procedure will be significant only if the data have been compiled systematically.

The aim of the systematic review and meta-analysis has signifi- cant implication for when it should be performed, what kind of model should be used to analyze and interpret the results. System- atic review and meta-analysis can be used to integrate the retrieved data for a certain question to convey information in the field of medicine, pharmacy, social science, criminology, ecology, and busi- ness. It may play a crucial role in other parts of the research area such as designing a new research. If researchers find required in- formation by pooling data from several studies, he can make a de- cision whether a following study is necessary or not. Meta-analysis can be helpful in designing a study if a new study is needed. Sys- tematic review can help to take a position for the new study in con- text by describing what is known before, and what we anticipated to learn from the new study. A Systematic review can provide not only the knowledge of a new study but the evidence as clarified by a new study with a clear and transparent manner.

Because meta-analysis is not a familiar research field, most cli- nicians do not have the chance to learn about systematic review Hanyang Med Rev 2015;35:1-2

http://dx.doi.org/10.7599/hmr.2015.35.1.1 pISSN 1738-429X eISSN 2234-4446

Why Perform Meta-Analysis?

Woo Jong Shin

Department of Anesthesiology and Pain Medicine, Hanyang University College of Medicine, Seoul, Korea

왜 메타분석을 하는가?

신우종

한양대학교 의과대학 마취통증의학교실

Editorial

Correspondence to: Woo Jong Shin

우471-701, 경기도 구리시 경춘로 153, 한양대학교 구리병원 마취통증의학과

Department of Anesthesia and Pain Medicine, Hanyang University Guri Hospital, 153 Kyungchoon-ro, Guri 471-701, Korea Tel: +82-31-560-2390, Fax: +82-31-563-1731, E-mail: swj0208@hanyang.ac.kr

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecom mons.org/licenses/by-nc/3.0) which permits un restricted non-commercial use, distribution, and reproduction in any medium, provided the origi nal work is properly cited.

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http://www.e-hmr.org PB

신우종 • 왜 메타분석을 하는가?

HMR

<DOI> 2 http://www.e-hmr.org

Woo Jong Shin • Why Perform Meta-Analysis?

HMR

Hanyang Med Rev 2015;35:1-2 and meta-analysis, topics entitled with “Systematic Review and

Meta-Analysis” in this volume of Hanyang Medical Review will provide an outline that allows clinicians to take a look at the logic and basic of meta-analysis, as well as how to interpret the study.

This review deals with mainly the basic logic of meta-analysis. Sta- tistical formula and methods used to integrate data from a large study will be discussed partly in this review.

This volume consists of Systematic Reviews and Meta-Analysis [3], Academic strategies based on evidence-practice gaps [4], An Introduction of the systematic review and meta-analysis [5], Search- ing medical literature effectively [6], Statistical issues in meta-anal- ysis [7], Meta-analysis and quality assessment of randomized con- trolled trials [8], Understanding effect sizes [9], Measurement of inter-rater reliability in systematic review [10], and finally Meta- analysis of diagnostic test accuracy [11].

REFERENCES

1. Chalmers I. The scandalous failure of scientists to cumulate scientifically.

Abstract to paper presented at 9th World Congress on Health Informa- tion and Libraries 2005:20-3.

2. Gilbert R, Salanti G, Harden M, See S. Infant sleeping position and the sudden infant death syndrome: systematic review of observational stud- ies and historical review of recommendations from 1940 to 2002. Int J Epidemiol 2005;34:874-87.

3. Shin WJ. Why perform meta-analysis? Hanyang Med Rev 2015;35:1-2.

4. Bae JM. Academic strategies based on evidence-practice gaps. Hanyang Med Rev 2015;35:3-8.

5. Shin WJ. An introduction of the systematic review and meta-analysis.

Hanyang Med Rev 2015;35:9-17.

6. Kim HJ, Ahn HS. Searching medical literature effectively. Hanyang Med Rev 2015;35:18-22.

7. Kang H. Statistical issues in meta-analysis. Hanyang Med Rev 2015;35:

23-32.

8. Lee SW. Quality analysis for the journals in the systematic review and me- ta-analysis. Hanyang Med Rev 2015;35:33-9.

9. Nahm FS. Understanding effect sizes. Hanyang Med Rev 2015;35:40-3.

10. Park CU, Kim HJ. Measurement of inter-rater reliability in systematic re- view. Hanyang Med Rev 2015;35:44-9.

11. Lee YH. Meta-analysis of diagnostic test accuracy. Hanyang Med Rev 2015;

35:50-3.

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