Systematic reviews with study-level and individual patient-level data

Joseph Lau, Sally C. Morton, Thomas A. Trikalinos, Christopher H. Schmid

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Systematic review and meta-analysis are the fundamental tools of evidence-based healthcare. Combining information from multiple studies can provide insights that individual studies cannot offer. In this chapter we explain these methods and show how they are applied by AHRQ (a US-based healthcare agency) in its comparative effectiveness research program. We illustrate the challenges of conducting comparative effectiveness reviews using study level data in three examples of reports produced by the AHRQ evidence-based practice centers. In the second half of this chapter, we provide a detailed discussion of the statistical methods used in individual patient data meta-analysis. The approach to combine patient level data has the ability to answer questions that are directly applicable to individual patients, whereas study level meta-analysis can only offer conclusions for a population. We anticipate that individual patient data will likely be more readily available for future meta-analyses. The increasing demand for comparative effectiveness reviews will need more efficient methods to produce them. We offer some suggestions to modernize systematic review and meta-analyses methods.

Original languageEnglish (US)
Title of host publicationMethods in Comparative Effectiveness Research
PublisherCRC Press
Pages301-339
Number of pages39
ISBN (Electronic)9781466511972
ISBN (Print)9781466511965
DOIs
StatePublished - Jan 1 2017
Externally publishedYes

ASJC Scopus subject areas

  • Mathematics(all)
  • Medicine(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)

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