ArticleInternational journal of epidemiology2010
Commentary: like it and lump it? Meta-analysis using individual participant data.
Article in International journal of epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 11 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
15 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Application of causal inference methods in individual-participant data meta-analyses in medicine: addressing data handling and reporting gaps with new proposed reporting guidelines.BMC medical research methodology · 2024Pooled it
- Meta-analysis of continuous outcomes: Using pseudo IPD created from aggregate data to adjust for baseline imbalance and assess treatment-by-baseline modification.Research synthesis methods · 2020Pooled it
- Pooled it
- Association of longitudinal alcohol consumption trajectories with coronary heart disease: a meta-analysis of six cohort studies using individual participant data.BMC medicine · 2018Pooled it
- Quantifying heterogeneity in individual participant data meta-analysis with binary outcomes.Systematic reviews · 2017Pooled it
- Excess Weight as a Risk Factor Common to Many Cancer Sites: Words of Caution when Interpreting Meta-analytic Evidence.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017Pooled it
- Pooled it
- Systematic review of methods for individual patient data meta- analysis with binary outcomes.BMC medical research methodology · 2014Pooled it
- Individual participant data meta-analysis of prognostic factor studies: state of the art?BMC medical research methodology · 2012Pooled it
- Job strain and alcohol intake: a collaborative meta-analysis of individual-participant data from 140,000 men and women.PloS one · 2012Pooled it
- Job strain and tobacco smoking: an individual-participant data meta-analysis of 166,130 adults in 15 European studies.PloS one · 2012Pooled it
- Evaluation of biomarkers for treatment selection using individual participant data from multiple clinical trials.Statistics in medicine · 2018Article
- Retrieval of Individual Participant Data for Exercise Meta-Analyses May Not Be Worth the Time and Effort.BioMed research international · 2016Article
- Validation of the Care-Related Quality of Life Instrument in different study settings: findings from The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Article
- Prognostic effect size of cardiovascular biomarkers in datasets from observational studies versus randomised trials: meta-epidemiology study.BMJ (Clinical research ed.) · 2011Review
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
20660642What 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.