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A scoping review of indirect comparison methods and applications using individual patient data
- Source :
- BMC Medical Research Methodology, Vol 16, Iss 1, Pp 1-14 (2016), BMC Medical Research Methodology
- Publication Year :
- 2016
- Publisher :
- BMC, 2016.
-
Abstract
- Background Several indirect comparison methods, including network meta-analyses (NMAs), using individual patient data (IPD) have been developed to synthesize evidence from a network of trials. Although IPD indirect comparisons are published with increasing frequency in health care literature, there is no guidance on selecting the appropriate methodology and on reporting the methods and results. Methods In this paper we examine the methods and reporting of indirect comparison methods using IPD. We searched MEDLINE, Embase, the Cochrane Library, and CINAHL from inception until October 2014. We included published and unpublished studies reporting a method, application, or review of indirect comparisons using IPD and at least three interventions. Results We identified 37 papers, including a total of 33 empirical networks. Of these, only 9 (27 %) IPD-NMAs reported the existence of a study protocol, whereas 3 (9 %) studies mentioned that protocols existed without providing a reference. The 33 empirical networks included 24 (73 %) IPD-NMAs and 9 (27 %) matching adjusted indirect comparisons (MAICs). Of the 21 (64 %) networks with at least one closed loop, 19 (90 %) were IPD-NMAs, 13 (68 %) of which evaluated the prerequisite consistency assumption, and only 5 (38 %) of the 13 IPD-NMAs used statistical approaches. The median number of trials included per network was 10 (IQR 4–19) (IPD-NMA: 15 [IQR 8–20]; MAIC: 2 [IQR 3–5]), and the median number of IPD trials included in a network was 3 (IQR 1–9) (IPD-NMA: 6 [IQR 2–11]; MAIC: 2 [IQR 1–2]). Half of the networks (17; 52 %) applied Bayesian hierarchical models (14 one-stage, 1 two-stage, 1 used IPD as an informative prior, 1 unclear-stage), including either IPD alone or with aggregated data (AD). Models for dichotomous and continuous outcomes were available (IPD alone or combined with AD), as were models for time-to-event data (IPD combined with AD). Conclusions One in three indirect comparison methods modeling IPD adjusted results from different trials to estimate effects as if they had come from the same, randomized, population. Key methodological and reporting elements (e.g., evaluation of consistency, existence of study protocol) were often missing from an indirect comparison paper. Electronic supplementary material The online version of this article (doi:10.1186/s12874-016-0146-y) contains supplementary material, which is available to authorized users.
- Subjects :
- Research Report
Biomedical Research
Epidemiology
NETWORK METAANALYSIS
Cochrane Library
computer.software_genre
GUANFACINE EXTENDED-RELEASE
0302 clinical medicine
Statistics
Medicine
Multiple treatments meta-analysis
030212 general & internal medicine
Network meta-analysis
education.field_of_study
lcsh:R5-920
ATTENTION-DEFICIT/HYPERACTIVITY DISORDER
030503 health policy & services
Individual participant data
TREATMENT COMPARISON METAANALYSIS
Hospital Records
3. Good health
MULTIPLE TREATMENT COMPARISONS
1117 Public Health And Health Services
Research Design
PUBLISHED SYSTEMATIC REVIEWS
Data mining
0305 other medical science
lcsh:Medicine (General)
Life Sciences & Biomedicine
Research Article
Scoping review
Patient Identification Systems
Matching (statistics)
Population
MEDLINE
Health Informatics
CINAHL
03 medical and health sciences
Meta-Analysis as Topic
General & Internal Medicine
Humans
MIXED TREATMENT COMPARISONS
education
Protocol (science)
Science & Technology
Information Dissemination
business.industry
Reproducibility of Results
Patient-level data
Patient data
RANDOMIZED-TRIALS
PARTICIPANT DATA
Indirect comparison
Knowledge synthesis
Health Care Sciences & Services
ADJUSTED INDIRECT COMPARISONS
business
computer
Research methods
Subjects
Details
- Language :
- English
- ISSN :
- 14712288
- Volume :
- 16
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Medical Research Methodology
- Accession number :
- edsair.doi.dedup.....99e053757a46ca93180ca611f74c35fc
- Full Text :
- https://doi.org/10.1186/s12874-016-0146-y