Evidence map›Paper›PMID 36550405›Full record

SynthesisBMC medical research methodology2022

Intervention effect estimates in randomised controlled trials conducted in primary care versus secondary or tertiary care settings: a meta-epidemiological study.

Amandine Dugard, Elsa Tavernier, Agnès Caille, Agnès Dechartres, Adeline Hoang, Bruno Giraudeau, Clarisse Dibao-Dina

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical research methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Amandine DugardUniversity of Tours, University of Nantes, INSERM 1246-SPHERE, Tours, France. amandine.dugard@etu.univ-tours.fr.
Elsa TavernierUniversity of Tours, University of Nantes, INSERM 1246-SPHERE, Tours, France.
Agnès CailleUniversity of Tours, University of Nantes, INSERM 1246-SPHERE, Tours, France.
Agnès DechartresSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé PubliqueAP-HP. Sorbonne Université, Hôpital Pitié Salpêtrière, Département de Santé Publique, F75013, Paris, France.
Adeline HoangDepartment of General Practice, University of Tours, Tours, France.
Bruno GiraudeauUniversity of Tours, University of Nantes, INSERM 1246-SPHERE, Tours, France.
Clarisse Dibao-DinaUniversity of Tours, University of Nantes, INSERM 1246-SPHERE, Tours, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany clinical practice guidelines are based on randomised controlled trials conducted in secondary or tertiary care setting and general practitioners frequently question their relevance for primary care patients. Our aim was to compare the intervention effect estimates between primary care setting randomised controlled trials (PC-RCTs) and secondary or tertiary care setting randomised controlled trials (ST-RCTs).

methodsMeta-epidemiological study of meta-analyses (MAs) of a binary outcome including at least one PC-RCT and one ST-RCT. PC-RCTs were defined as trials recruiting patients in general practices, primary care practices, family practices, community centers or community pharmacies. ST-RCTs were defined as trials recruiting in hospitals, including hospitalized patients, hospital outpatients and patients from emergency departments. For each MA, we estimated a ratio of odds ratio (ROR) by using random-effects meta-regression, with an ROR less than 1 indicating lower estimates of the intervention effect in PC-RCTs than ST-RCTs. Finally, we estimated a combined ROR across MAs by using a random-effects meta-analysis. We performed subgroup analyses considering the type of outcomes (objective vs subjective), type of experimental intervention (pharmacological vs non-pharmacological), and control group (active vs inactive) as well as analyses adjusted on items of the Cochrane Risk of Bias tool.

resultsAmong 1765 screened reviews, 76 MAs with 230 PC-RCTs and 384 ST-RCTs were selected. The main medical fields were pneumology (13.2%) and psychiatry or addictology (38.2%). Intervention effect estimates did not significantly differ between PC-RCTs and ST-RCTs (ROR = 0.97, 95% confidence interval 0.88 to 1.08), with moderate heterogeneity across MAs (I

conclusionWe did not observe any significant difference in intervention effect estimates between PC-RCTs and ST-RCTs. Nevertheless, most of the medical fields in this meta-epidemiological study were not representative of the pathologies encountered in primary care. Further studies with pathologies more frequently encountered in primary care are needed.

Indexed as

Primary Health CareBiasEpidemiologic StudiesHumansRandomized Controlled Trials as TopicTertiary Health CareCochrane systematic reviewMeta-epidemiological studyPrimary care

Identifiers

PMID36550405
PMCPMC9773496

What OpenQuestion holds

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Registered trials

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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.