Meta-Analyses of Randomized Controlled Trials

  • Henry S. Sacks
  • , Jayne Berrier
  • , Dinah Reitman
  • , V. A. Ancona-Berk
  • , Thomas C. Chalmers

Research output: Contribution to journalArticlepeer-review

1079 Scopus citations

Abstract

A new type of research, termed meta-analysis, attempts to analyze and combine the results of previous reports. We found 86 meta-analyses of reports of randomized controlled trials in the English-language literature. We evaluated the quality of these meta-analyses, using a scoring method that considered 23 items in six major areas — study design, combinability, control of bias, statistical analysis, sensitivity analysis, and application of results. Only 24 meta-analyses (28 percent) addressed all six areas, 31 (36 percent) addressed five, 25 (29 percent) addressed four, 5 (6 percent) addressed three, and 1 (1 percent) addressed two. Of the 23 individual items, between 1 and 14 were addressed satisfactorily (mean ±SD, 7.7±2.7). We conclude that an urgent need exists for improved methods in literature searching, quality evaluation of trials, and synthesizing of the results. (N Engl J Med 1987; 316:450–5.), RECENTLY, a number of papers have appeared in the medical literature that attempt to evaluate and combine the results of previous studies. Light and Smith1 were among the first to propose pooling original data from various research studies. Glass was the first to refer to this type of research as “meta-analysis.”2 A dictionary defines “meta” as “more comprehensive: transcending… — used with the name of a discipline to designate a new but related discipline designed to deal critically with the original one.”3 Thus, meta-analysis is a new discipline that critically reviews and statistically combines the results of…

Original languageEnglish
Pages (from-to)450-455
Number of pages6
JournalNew England Journal of Medicine
Volume316
Issue number8
DOIs
StatePublished - 19 Feb 1987

Fingerprint

Dive into the research topics of 'Meta-Analyses of Randomized Controlled Trials'. Together they form a unique fingerprint.

Cite this