Evidence map›Paper›PMID 40360264›Full record

SynthesisThorax2025

Oxygen therapy in early warning scores: a systematic review and meta-analysis.

Charlotte H Harrison, Phoebe Tupper, Stephen Gerry, Verena Michael, Jonathan P Bedford, Carolyn Smith, Chris Subbe, Oliver Redfern, Peter J Watkinson

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Thorax, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Charlotte H HarrisonCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK charlotte.harrison@ndcn.ox.ac.uk.ORCID 0000-0003-3772-219X
Phoebe TupperCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Stephen GerryCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Verena MichaelCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Jonathan P BedfordCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Carolyn SmithBodleian Health Care Libraries, University of Oxford, Oxford, UK.
Chris SubbeYsbyty Gwynedd, Bangor, Gwynedd, UK.
Oliver RedfernCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Peter J WatkinsonCritical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly warning systems (EWS) used across the world typically assign a fixed number of points to patients receiving supplemental oxygen, regardless of amount. This ordinal binary approach may fail to recognise deteriorating patients who have an increasing oxygen requirement with otherwise stable observations. It is unclear whether weighting oxygen beyond binary scoring improves recognition of deterioration.

aimsWe aimed to describe all general adult EWS that grade oxygen beyond binary scoring (part 1). Where reported, we summarised the performance of graded oxygen EWS in comparison to binary scoring (part 2).

methodsWe systematically reviewed the literature, searching Embase, MEDLINE, CINAHL, Cochrane Central and Web of Science. We included studies of vital-sign-only EWS, for adult inpatients, which included grades of oxygen therapy above binary weighting ('graded oxygen weighting'). We summarised methods of including graded oxygen therapy. We performed a random-effects meta-analysis of the effects of graded oxygen weighting inclusion in comparison to binary weighting. Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool.

results15 studies reported the development of 16 EWS with graded oxygen weighting, classified by flow rate, delivery device and/or fraction of inspired oxygen. Four studies compared graded oxygen EWS to binary oxygen EWS. Meta-analysis showed a significant improvement in the performance of graded oxygen EWS over binary oxygen EWS (logit(AUROC)=0.19; 95% CI 0.094 to 0.285; p=0.002). 15/16 models were at high risk of bias.

conclusions16 EWS with graded oxygen weighting were identified. Graded oxygen models had improved recognition of deterioration. Future work should explore the optimal method of oxygen classification and how this could be integrated into future EWS. PROSPERO REGISTRATION NUMBER: CRD42024443362.

Indexed as

Early Warning ScoreOxygen Inhalation TherapyHumansCritical CareHypoxemiaHypoxiaLung Physiology

Identifiers

PMID40360264
PMCPMC12505061

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.