Evidence map›Paper›PMID 41146742›Full record

ReviewCritical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine2025

The influence of consent models on recruitment rates in randomised trials in critical care: A systematic review.

Mahesh Ramanan, Aashish Kumar, Laurent Billot, John Myburgh, Balasubramanian Venkatesh

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine, 2025. 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

5 authors.

Mahesh RamananThe George Institute for Global Health, Sydney, Australia.
Aashish KumarLogan Hospital, Brisbane, Australia.
Laurent BillotThe George Institute for Global Health, Sydney, Australia.
John MyburghThe George Institute for Global Health, Sydney, Australia.
Balasubramanian VenkateshThe George Institute for Global Health, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To determine whether type of consent model was associated with recruitment rate in critical care randomised clinical trials (RCT). Data sources: PubMed was searched for relevant articles. Study selection: Individual patient RCTs in critical care with a primary outcome of mortality published between 1990 and 2020 were included. Data extraction: Two authors independently reviewed titles, abstracts, and full-text articles for eligibility, and data was entered into a structured custom database. Data synthesis: 186 RCTs were included, of which 141(75.8%) used Conclusion: Alternate consent models for critical care RCTs were associated with higher recruitment rates compared to Registration: PROSPERO Record ID: Record ID: CRD42020215950.

Indexed as

A prioriConsentConsent to continueCritical careInformed consentRandomised trial

Identifiers

PMID41146742
PMCPMC12554108

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.