Cited by 250Meta-analysis and systematic reviewsClinical practice guidelines implementationDelphi Technique in Research

The strengths and limitations of meta-analyses based on aggregate data

Open access
Lyman, Gary H, Kuderer, Nicole M·2005·BMC Medical Research Methodology

Abstract

BACKGROUND: Properly performed systematic reviews and meta-analyses are thought by many to represent among the highest level of evidence addressing important clinical issues. Few would disagree that meta-analyses based on individual patient data (IPD) offer several advantages and represent the standard to which all other systematic reviews should be compared. METHODS: All cancer-related meta-analyses cited in Medline were classified as based on aggregate or individual patient data. A review was then undertaken of all reports comparing the comparative strengths and limitations of meta-analyses using either aggregate or individual patient data. RESULTS: The majority of published meta-analyses are based on summary or aggregate patient data (APD). Reasons suggested for this include the considerable resources, years of study and often, broad international cooperation required for IPD meta-analyses. Many of the most important features of systematic reviews including formal meta-analyses are addressed by both IPD and APD meta-analyses. The need for defining an explicit and relevant clinical question, exhaustively searching for the totality of evidence, meticulous and unbiased data transfer or extraction, assessment of between study heterogeneity and the use of appropriate statistical methods for estimating summary effect measures are essentially the same for the two approaches. CONCLUSION: IPD offers advantages and, when feasible, should be considered the best opportunity to summarize the results of multiple studies. However, the resources, time and cooperation required for such studies will continue to limit their use in many important areas of clinical medicine which can be meaningfully and cost-effectively approached by properly performed APD meta-analyses. APD meta-analyses continue to be the mainstay of systematic reviews utilized by the US Preventive Services Task Force, the Cochrane Collaboration and many professional societies to support clinical practice guidelines.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1471-2288-5-14

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 19

  1. Tierney JF Clarke M Stewart LA Is there bias in the publication of individual patient data meta-analyses? Int J Technol Assess Health Care 2000 16 657 667 10932430 10.1017/S0266462300101217 · DOI
  2. Khan KS Bachmann LM Gerben ter Riet Systematic reviews with individual patient data meta-analysis to evaluate diagnostic tests Eur J Obstet Gynecol Repro Biol 2003 108 121 125 12781397
  3. Stewart LA Tierney JF To IPD or Not to IPD? Advantages and Disadvantages of Systematic Reviews Using Individual Patient Data Eval Health Prof 2002 25 76 97 11868447 10.1177/0163278702025001006 · DOI
  4. Sylvester R Collette L Duchateau L The role of meta-analyses in assessing cancer treatments Eur J Cancer 2000 36 1351 1358 10899647 10.1016/S0959-8049(00)00125-8 · DOI
  5. Piedbois P Buyce M Meta-analyses based on abstracted data: a step in the right direction, but only a first step J Clin Oncol 2004 22 3839 3841 15326196 10.1200/JCO.2004.06.924 · DOI
  6. Burdett S Stewart LA A Comparison of the Results of Checked Versus Unchecked Individual Patient Data Meta-Analyses Int J Technol Assess Health Care 2002 18 619 624 12391954
  7. Steinberg KK Smith SJ Stroup DF Olkin I Lee NC Williamson GD Thacker SB A comparison of effect estimates from a meta-analysis using individual patient data for ovarian cancer studies Am J Epidemiology 1997 145 917 925 9149663
  8. Olkin I Sampson A Comparison of Meta-Analysis Versus Analysis of Variance of Individual Patient Data Biometrics 1998 54 317 322 9544524
  9. Ioannidis JPA Contopoulos-Ioannidis DG Lau J Recursive Cumulative Meta-analysis: A Diagnostic for the Evolution of Total Randomized Evidence from Group and Individual Patient Data J Clin Epidemiol 1999 52 281 291 10235168 10.1016/S0895-4356(98)00159-0 · DOI
  10. Trikalinos TA Ioannidis JP Predictive modeling and heterogeneity of baseline risk in meta-analysis of individual patient data J Clin Epidemiol 2001 54 245 52 11223322 10.1016/S0895-4356(00)00311-5 · DOI
  11. Stewart LA Parmar MKB Meta-analysis of the literature or of individual patient data: is there a difference? The Lancet 1993 341 418 422 8094183 10.1016/0140-6736(93)93004-K · DOI
  12. Jeng GT Scott JR Burmeister LF A comparison of meta-analytic results using literature versus individual patient data JAMA 1995 274 830 836 7650808 10.1001/jama.274.10.830 · DOI
  13. Oxman AD Clarke MJ Stewart LA From Science to Practice: Meta-Analyses Using Individual Patient Data are Needed JAMA 1995 274 845 846 7650811 10.1001/jama.274.10.845 · DOI
  14. Duchateau L Pignon JP Bijnens L Bertin S Bourhis J Sylvester R Individual Patient-versus Literature-Based Meta-analysis of Survival Data: Time to Event and Event Rate at a Particular Time Can Make a Difference, an Example Based on Head and Neck Cancer Controlled Clinical Trials 2001 22 538 547 11578787 10.1016/S0197-2456(01)00152-0 · DOI
  15. Parmar MKB Torri V Stewart L Extracting Summary Statistics to Perform Meta-Analyses of the Published Literature for Survival Endpoints Stat Med 1998 17 2815 2834 9921604 10.1002/(SICI)1097-0258(19981230)17:24<2815::AID-SIM110>3.0.CO;2-8 · DOI
  16. Earle CC Wells GA An Assessment of Methods to Combine Published Survival Curves Med Decis Making 2000 20 104 111 10638543
  17. Berlin JA Santanna J Schmid CH Szczech LA Feldman HI Individual patient-versus group-level data meta-regressions for the investigation of treatment effect modifiers: economical bias rears its ugly head Stat Med 2002 21 371 387 11813224 10.1002/sim.1023 · DOI
  18. Mathew T Nordstrom K On the Equivalence of Meta-Analysis Using Literature and Using Individual Patient Data Biometrics 1999 55 1221 1223 11315071 10.1111/j.0006-341X.1999.01221.x · DOI
  19. Angelillo IF Villari P Meta-analysis of published studies or meta-analysis of individual patient data? Caesarean section in HIV-Positive women as a study case Public Health 2003 117 323 328 12909421 10.1016/S0033-3506(03)00105-7 · DOI

Cited by

Sorted by citations

Authors
Lyman, G. H., & Kuderer, N. M.
Affiliations
University of Rochester Medicine (US)
Corresponding author
Lyman, Gary H
Venue
BMC Medical Research Methodology
Published
2005-04-25
Volume
5
Issue
1
Pages
14-14
ISSN
1471-2288 (ISSN-L)
OpenAlex
W2133940850
Cited by
250
References
0
Citations by year
2026: 4 · 2025: 9 · 2024: 13 · 2023: 18 · 2022: 14 · 2021: 29 · 2020: 13 · 2019: 8 · 2018: 9 · 2017: 8 · 2016: 11 · 2015: 19 · 2014: 7 · 2013: 20 · 2012: 8
FWCI
8.86
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Research Methodology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
  • Social Sciences › Sociology and Political Science › Delphi Technique in Research
Keywords
individual patient data meta-analysis, systematic reviews, strengths and weaknesses, data extraction, study heterogeneity
MeSH terms
Clinical Trials as Topic, Humans, Neoplasms, Research Design, Meta-Analysis as Topic, Bias, Survival Analysis, MEDLINE, Outcome Assessment, Health Care, Patient Selection

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review