ArticleBMC medical research methodology2016
Methods for network meta-analysis of continuous outcomes using individual patient data: a case study in acupuncture for chronic pain.
Article in BMC medical research methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02976558 (Prospective Open Randomized Monocentric Two-armed Controlled Clinical Trial in Parallel Groups to Investigate the Influence of Complementary Medicine), which is not on this map. Cited by 5 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Prospective Open Randomized Monocentric Two-armed Controlled Clinical Trial in Parallel Groups to Investigate the Influence of Complementary Medicine (CAM) Interventions on Quality of Life and The Treatment Process of Patients Undergoing Allogenic Stem Cell Transplantation
Who cites it
5 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Starting position during colonoscopy: a systematic review and meta-analysis of randomized controlled trials.Techniques in coloproctology · 2024Pooled it
- Digital interventions in mental health: evidence syntheses and economic modelling.Health technology assessment (Winchester, England) · 2022Pooled it
- Critical Appraisal of Published Indirect Comparisons and Network Meta-Analyses of Competing Interventions for Multiple Myeloma.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020Pooled it
- Cost-effectiveness of adjunct non-pharmacological interventions for osteoarthritis of the knee.PloS one · 2017Pooled it
- Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples.BMJ (Clinical research ed.) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundNetwork meta-analysis methods, which are an extension of the standard pair-wise synthesis framework, allow for the simultaneous comparison of multiple interventions and consideration of the entire body of evidence in a single statistical model. There are well-established advantages to using individual patient data to perform network meta-analysis and methods for network meta-analysis of individual patient data have already been developed for dichotomous and time-to-event data. This paper describes appropriate methods for the network meta-analysis of individual patient data on continuous outcomes.
methodsThis paper introduces and describes network meta-analysis of individual patient data models for continuous outcomes using the analysis of covariance framework. Comparisons are made between this approach and change score and final score only approaches, which are frequently used and have been proposed in the methodological literature. A motivating example on the effectiveness of acupuncture for chronic pain is used to demonstrate the methods. Individual patient data on 28 randomised controlled trials were synthesised. Consistency of endpoints across the evidence base was obtained through standardisation and mapping exercises.
resultsIndividual patient data availability avoided the use of non-baseline-adjusted models, allowing instead for analysis of covariance models to be applied and thus improving the precision of treatment effect estimates while adjusting for baseline imbalance.
conclusionsThe network meta-analysis of individual patient data using the analysis of covariance approach is advocated to be the most appropriate modelling approach for network meta-analysis of continuous outcomes, particularly in the presence of baseline imbalance. Further methods developments are required to address the challenge of analysing aggregate level data in the presence of baseline imbalance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.