Evidence map›Paper›PMID 28760739›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2017

Comparison between treatment effects in a randomised controlled trial and an observational study using propensity scores in primary care.

Beth L Stuart, Louise En Grebel, Christopher C Butler, Kerenza Hood, Theo J M Verheij, Paul Little

Abstract readComparative Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Beth L StuartPrimary Care and Population Sciences Division, University of Southampton, UK.
Louise En GrebelJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands.
Christopher C ButlerNuffield Department of Primary Care Health Sciences, University of Oxford, UK.
Kerenza HoodCentre for Trials Research, Cardiff University, UK.
Theo J M VerheijJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands.
Paul LittlePrimary Care and Population Sciences Division, University of Southampton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough randomised controlled trials (RCTs) are considered 'gold standard' evidence, they are not always feasible or appropriate, and may represent a select population. Observational studies provide a useful alternative to enhance applicability, but results can be biased due to confounding.

aimTo explore the utility of propensity scores for causal inference in an observational study. DESIGN AND

settingComparison of the effect of amoxicillin on key outcomes in an international RCT and observational study of lower respiratory tract infections.

methodPropensity scores were calculated and applied as probability weights in the analyses. The adjusted results were compared with the effects reported in the RCT.

resultsGroups were well balanced in the RCT but significantly imbalanced in the observational study, with evidence of confounding by indication: patients receiving antibiotics tended to be older and more unwell at baseline consultation. In the trial duration of symptoms (hazard ratio 1.06, 95% CI = 0.96 to 1.18) and symptom severity (-0.07, 95% CI = -0.15 to 0.007) did not differ between groups. Weighting by propensity score in the observational study resulted in very similar estimates of effect: duration of symptoms (hazard ratio 1.06, 95% CI = 0.80 to 1.40) and difference for symptom severity (-0.07, 95% CI = -0.34 to 0.20).

conclusionThe observational study, after conditioning on propensity score, echoed the trial results. Provided that detailed information is available on potential sources of confounding, effects of interventions can probably be assessed reasonably well in observational datasets, allowing them to be more directly compared with the results of RCTs.

Indexed as

AmoxicillinRespiratory Tract InfectionsAnti-Bacterial AgentsBiasHumansObservational Studies as TopicPatient SelectionPrimary Health CarePropensity ScoreRandomized Controlled Trials as TopicSeverity of Illness IndexTreatment OutcomeAmoxicillinAnti-Bacterial Agentsantibioticsobservational studyprimary health carepropensity scorerandomised controlled trialrespiratory tract infection

Identifiers

PMID28760739
PMCPMC5569744

What OpenQuestion holds

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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.