Original Title: 체계적 문헌고찰에서 수행된 메타분석에서의 소규모 연구영향과 출판비뚤림

Authors' recommendations: While a systematic review is one of the logical methods used frequently in health technology assessment, it is subjected to reporting bias as it fundamentally uses primary studies. In this study, the current status of meta-analysis studies reporting small study effect and publication bias was investigated. The biases were explored by Contour-enhanced funnel plot, Egger's test, and Begg's test, and adjusted through Egger's variance regression model to examine how the effect estimates in meta-analyses could change. Small study effect and publication bias have not been investigated often in the studies published even in some high profile major journals and there were indications for possible alterations of conclusions. More attention to exploring such a bias should be paid when reporting results of systematic reviews.

Project Status: Completed

Year Published: 2012

URL for published report: https://www.neca.re.kr/lay1/program/S1T11C145/report/view.do?seq=89

English language abstract: An English language summary is available

Publication Type: Not Assigned

Country: South Korea

Organisation Name: National Evidence-based healthcare Collaborating Agency

Contact Address: National Evidence-based Healthcare Collaborating Agency (NECA), 3~5F Health and Welfare Social Administration B/D, 400 Neungdong-ro, Gwangjin-gu, Seoul, Korea.

Contact Name: int@neca.re.kr

Contact Email: int@neca.re.kr

Copyright: National Evidence-based Healthcare Collaborating Agency (NECA)