Evidence map›Paper›PMID 40475182›Full record

ArticleCochrane evidence synthesis and methods2025

Single-arm interventional versus observational studies for assessing efficacy: A meta-epidemiological study.

Mary Chappell, Deborah Watkins, Alice Sanderson, Lavinia Ferrante di Ruffano, Paul Miller, Hariet Fewster, Anita Fitzgerald, Mary Edwards, Rachael McCool

Abstract read
In one paragraph

Article in Cochrane evidence synthesis and methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Mary ChappellYork Health Economics Consortium, Innovation Way University of York York UK.ORCID https://orcid.org/0000-0002-3789-0727
Deborah WatkinsYork Health Economics Consortium, Innovation Way University of York York UK.
Alice SandersonYork Health Economics Consortium, Innovation Way University of York York UK.
Lavinia Ferrante di RuffanoYork Health Economics Consortium, Innovation Way University of York York UK.
Paul MillerYork Health Economics Consortium, Innovation Way University of York York UK.
Hariet FewsterYork Health Economics Consortium, Innovation Way University of York York UK.
Anita FitzgeraldYork Health Economics Consortium, Innovation Way University of York York UK.
Mary EdwardsYork Health Economics Consortium, Innovation Way University of York York UK.
Rachael McCoolYork Health Economics Consortium, Innovation Way University of York York UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Interventional single-arm trials (SATs) are increasingly being used as evidence, despite a lack of agreement on their validity and where they should sit in the hierarchy of evidence. We conducted a meta-epidemiological study to investigate whether there are systematic differences in outcomes and levels of between-study heterogeneity for SATs compared with their observational counterpart, single-arm cohort studies. Methods: We identified systematic reviews (SRs) of pharmacological interventions, published in 2023, that included both interventional and observational single-arm studies. For each SR, subgroup meta-analysis of dichotomous outcomes was conducted for included SATs and single-arm cohort studies to assess effect sizes, levels of heterogeneity and between group differences. In a sensitivity analysis, clinically heterogeneous primary studies were removed and analyses re-run. Results: 66 SRs contained single-arm studies, of which 13 reported meta-analyses of dichotomous efficacy outcomes. There was no overall risk difference for SATs compared with single-arm cohort studies (risk difference: -0.020, 95% CI: -0.092 to 0.052, Conclusion: There do not appear to be systematic differences in outcome between SATs and single-arm cohort studies, but further research is recommended to confirm this finding. Levels of heterogeneity are high within both designs, even after attempts to reduce clinical heterogeneity. Because clinical heterogeneity had potentially been removed, remaining statistical heterogeneity may have been due to bias related to study conduct. Future work should utilize larger samples and additional methods to further clarify the relative validity of single-arm designs.

Indexed as

biasclinical trialobservational studytreatment outcome

Identifiers

PMID40475182
PMCPMC11795979

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.