ArticlePloS one2016
Meta-Analysis of Effect Sizes Reported at Multiple Time Points Using General Linear Mixed Model.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Effects of Pharmacological and Psychological Treatments on Depressive Symptoms in Body Dysmorphic Disorder: A Systematic Review and Meta-Analysis.Current psychiatry reports · 2026Pooled it
- Effect of driving pressure-limiting strategies on outcomes of patients with ARDS: a meta-analysis of randomized controlled trials.Critical care (London, England) · 2026Pooled it
- Long-Term Pulmonary Function and Radiologic Abnormalities Up to 3 Years After COVID-19: A Systematic Review and Meta-Analysis.Korean journal of radiology · 2026Pooled it
- The efficacy and adverse effects of favipiravir on patients with COVID-19: A systematic review and meta-analysis of published clinical trials and observational studies.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Pooled it
- A Complex Meta-Regression Model to Identify Effective Features of Interventions From Multi-Arm, Multi-Follow-Up Trials.Statistics in medicine · 2024Article
- Classifying information-sharing methods.BMC medical research methodology · 2021Article
- Modelling time-course relationships with multiple treatments: Model-based network meta-analysis for continuous summary outcomes.Research synthesis methods · 2019Article
- Influence of own mother's milk and different proportions of formula on intestinal microbiota of very preterm newborns.PloS one · 2019Article
- Many Flavors of Model-Based Meta-Analysis: Part II - Modeling Summary Level Longitudinal Responses.CPT: pharmacometrics & systems pharmacology · 2018Review
- Response Time Reduction Due to Retesting in Mental Speed Tests: A Meta-Analysis.Journal of Intelligence · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Meta-analysis of longitudinal studies combines effect sizes measured at pre-determined time points. The most common approach involves performing separate univariate meta-analyses at individual time points. This simplistic approach ignores dependence between longitudinal effect sizes, which might result in less precise parameter estimates. In this paper, we show how to conduct a meta-analysis of longitudinal effect sizes where we contrast different covariance structures for dependence between effect sizes, both within and between studies. We propose new combinations of covariance structures for the dependence between effect size and utilize a practical example involving meta-analysis of 17 trials comparing postoperative treatments for a type of cancer, where survival is measured at 6, 12, 18 and 24 months post randomization. Although the results from this particular data set show the benefit of accounting for within-study serial correlation between effect sizes, simulations are required to confirm these results.
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Identifiers
What OpenQuestion holds
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.