Evidence map›Paper›PMID 36751347›Full record

ArticleJournal of the Intensive Care Society2022

Risk factors for new-onset atrial fibrillation during critical illness: A Delphi study.

Jonathan P Bedford, Tessa Garside, Julie L Darbyshire, Timothy R Betts, J Duncan Young, Peter J Watkinson

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Intensive Care Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. A prospective, multi-site, observational study assessing the treatment thresholds of new onset atrial fibrillation in the critically ill.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026
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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 at 1 institution in 1 country.

Jonathan P BedfordNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-9455-022X
Tessa GarsideNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Julie L DarbyshireNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-7655-1963
Timothy R BettsRadcliffe Department of Medicine, University of Oxford, Oxford, UK.
J Duncan YoungNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-6838-4835
Peter J WatkinsonNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
University of Oxford · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: New-onset atrial fibrillation (NOAF) is common during critical illness and is associated with poor outcomes. Many risk factors for NOAF during critical illness have been identified, overlapping with risk factors for atrial fibrillation in patients in community settings. To develop interventions to prevent NOAF during critical illness, modifiable risk factors must be identified. These have not been studied in detail and it is not clear which variables warrant further study. Methods: We undertook an international three-round Delphi process using an expert panel to identify important predictors of NOAF risk during critical illness. Results: Of 22 experts invited, 12 agreed to participate. Participants were located in Europe, North America and South America and shared 110 publications on the subject of atrial fibrillation. All 12 completed the three Delphi rounds. Potentially modifiable risk factors identified include 15 intervention-related variables. Conclusions: We present the results of the first Delphi process to identify important predictors of NOAF risk during critical illness. These results support further research into modifiable risk factors including optimal plasma electrolyte concentrations, rates of change of these electrolytes, fluid balance, choice of vasoactive medications and the use of preventative medications in high-risk patients. We also hope our findings will aid the development of predictive models for NOAF.

Indexed as

Atrial fibrillationcritical careDelphiintensive carerisk factors

Identifiers

PMID36751347
PMCPMC9679893
OpenAlexW3166994026

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.