Evidence map›Paper›PMID 19736281›Full record

SynthesisBMJ (Clinical research ed.)2009

The effects of excluding patients from the analysis in randomised controlled trials: meta-epidemiological study.

Eveline Nüesch, Sven Trelle, Stephan Reichenbach, Anne W S Rutjes, Elizabeth Bürgi, Martin Scherer, Douglas G Altman, Peter Jüni

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 44 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 44 pooled it
18.4field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 44 syntheses or guidelines pooled it, 243 citations in OpenAlex.

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  7. Withdrawal reasons of randomized controlled trials on type 2 diabetes: a systematic review.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2021
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  8. Wound cleansing for treating venous leg ulcers.The Cochrane database of systematic reviews · 2021
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  10. Effects of isoflavone interventions on bone mineral density in postmenopausal women: a systematic review and meta-analysis of randomized controlled trials.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
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  15. Interventions for treating persistent pain in survivors of torture.The Cochrane database of systematic reviews · 2017
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  16. Exercise interventions for cerebral palsy.The Cochrane database of systematic reviews · 2017
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45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 4 countries.

Eveline NüeschInstitute of Social and Preventive Medicine, University of Bern, Switzerland.
Sven Trelle
Stephan Reichenbach
Anne W S Rutjes
Elizabeth Bürgi
Martin Scherer
Douglas G Altman
Peter Jüni
Institute of Social and Preventive Medicine · CHUniversity Hospital of Bern · CHUniversity of Bern · CHUniversity of Lübeck · DEUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine whether excluding patients from the analysis of randomised trials are associated with biased estimates of treatment effects and higher heterogeneity between trials.

designMeta-epidemiological study based on a collection of meta-analyses of randomised trials. DATA SOURCES: 14 meta-analyses including 167 trials that compared therapeutic interventions with placebo or non-intervention control in patients with osteoarthritis of the hip or knee and used patient reported pain as an outcome.

methodsEffect sizes were calculated from differences in means of pain intensity between groups at the end of follow-up, divided by the pooled standard deviation. Trials were combined by using random effects meta-analysis. Estimates of treatment effects were compared between trials with and trials without exclusions from the analysis, and the impact of restricting meta-analyses to trials without exclusions was assessed.

results39 trials (23%) had included all patients in the analysis. In 128 trials (77%) some patients were excluded from the analysis. Effect sizes from trials with exclusions tended to be more beneficial than those from trials without exclusions (difference -0.13, 95% confidence interval -0.29 to 0.04). However, estimates of bias between individual meta-analyses varied considerably (tau(2)=0.07). Tests of interaction between exclusions from the analysis and estimates of treatment effects were positive in five meta-analyses. Stratified analyses indicated that differences in effect sizes between trials with and trials without exclusions were more pronounced in meta-analyses with high between trial heterogeneity, in meta-analyses with large estimated treatment benefits, and in meta-analyses of complementary medicine. Restriction of meta-analyses to trials without exclusions resulted in smaller estimated treatment benefits, larger P values, and considerable decreases in between trial heterogeneity.

conclusionExcluding patients from the analysis in randomised trials often results in biased estimates of treatment effects, but the extent and direction of bias is unpredictable. Results from intention to treat analyses should always be described in reports of randomised trials. In systematic reviews, the influence of exclusions from the analysis on estimated treatment effects should routinely be assessed.

Indexed as

BiasData CollectionHumansMeta-Analysis as TopicOsteoarthritis, HipOsteoarthritis, KneePainRandomized Controlled Trials as TopicSample Size

Identifiers

PMID19736281
PMCPMC2739282
OpenAlexW2057810715

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.