Standardized mean differences cause funnel plot distortion in publication bias assessments [PDF]
eLife, 2017 Meta-analyses are increasingly used for synthesis of evidence from biomedical research, and often include an assessment of publication bias based on visual or analytical detection of asymmetry in funnel plots.
Peter-Paul Zwetsloot +8 more
doaj +10 more sources
Graphical augmentations to sample-size-based funnel plot in meta-analysis. [PDF]
Res Synth Methods, 2019 Assessing publication bias is a critical procedure in meta‐analyses for rating the synthesized overall evidence. Because statistical tests for publication bias are usually not powerful and only give P values that inform either the presence or absence of ...
Lin L.
europepmc +7 more sources
Benchmarking survival outcomes: A funnel plot for survival data. [PDF]
Stat Methods Med Res, 2022 Benchmarking is commonly used in many healthcare settings to monitor clinical performance, with the aim of increasing cost-effectiveness and safe care of patients. The funnel plot is a popular tool in visualizing the performance of a healthcare center in
Putter H +7 more
europepmc +10 more sources
Visual Representations of Meta-Analyses of Multiple Outcomes: Extensions to Forest Plots, Funnel Plots, and Caterpillar Plots [PDF]
Methodology, 2020 Meta-analytic datasets can be large, especially when in primary studies multiple effect sizes are reported. The visualization of meta-analytic data is therefore useful to summarize data and understand information reported in primary studies.
Belén Fernández-Castilla +5 more
doaj +4 more sources
Specifying the probability characteristics of funnel plot control limits: an investigation of three approaches. [PDF]
PLoS ONE, 2012 BackgroundEmphasis is increasingly being placed on the monitoring and comparison of clinical outcomes between healthcare providers. Funnel plots have become a standard graphical methodology to identify outliers and comprise plotting an outcome summary ...
Bradley N Manktelow, Sarah E Seaton
doaj +3 more sources
The Perils of Misinterpreting and Misusing "Publication Bias" in Meta-analyses: An Education Review on Funnel Plot-Based Methods. [PDF]
Sports Med, 2023 Publication bias refers to a systematic deviation from the truth in the results of a meta-analysis due to the higher likelihood for published studies to be included in meta-analyses than unpublished studies.
Afonso J +4 more
europepmc +2 more sources
Enhancing feedback on performance measures: the difference in outlier detection using a binary versus continuous outcome funnel plot and implications for quality improvement. [PDF]
BMJ Qual Saf, 2021 Background Hospitals and providers receive feedback information on how their performance compares with others, often using funnel plots to detect outliers. These funnel plots typically use binary outcomes, and continuous variables are dichotomised to fit
Kuhrij L +4 more
europepmc +2 more sources
Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: A comparison of new and existing tests. [PDF]
Res Synth Methods, 2018 Small‐study effects are a common threat in systematic reviews and may indicate publication bias. Their existence is often verified by visual inspection of the funnel plot.
Debray TPA, Moons KGM, Riley RD.
europepmc +2 more sources
The case of the misleading funnel plot [PDF]
BMJ, 2006 Evidence based medicine insists on rigorous standards to appraise clinical interventions.
Joseph Lau +4 more
semanticscholar +4 more sources
Using funnel plots in public health surveillance [PDF]
Population Health Metrics, 2011 Background Public health surveillance is often concerned with the analysis of health outcomes over small areas. Funnel plots have been proposed as a useful tool for assessing and visualizing surveillance data, but their full utility has not been ...
Dover Douglas C, Schopflocher Donald P
doaj +4 more sources