Evidence map›Paper›PMID 40986494›Full record

ArticleJournal of patient safety2025

Performance and Improvement of Track and Trigger Scores Before Rescue and Transfer in the General Care Setting.

Susan P McGrath, Irina M Perreard, George T Blike, Krystal M McGovern, Joseph P Nano, Todd A MacKenzie

Abstract read
In one paragraph

Article in Journal of patient safety, 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. 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

6 authors.

Susan P McGrathDivision of Analytics Institute, Department of Surveillance Analytics Core, Dartmouth Hitchcock Medical Center, Lebanon.ORCID 0000-0002-7653-205
Irina M PerreardDivision of Analytics Institute, Department of Surveillance Analytics Core, Dartmouth Hitchcock Medical Center, Lebanon.
George T BlikeDivision of Analytics Institute, Department of Surveillance Analytics Core, Dartmouth Hitchcock Medical Center, Lebanon.
Krystal M McGovernDivision of Analytics Institute, Department of Surveillance Analytics Core, Dartmouth Hitchcock Medical Center, Lebanon.
Joseph P NanoDivision of Analytics Institute, Department of Surveillance Analytics Core, Dartmouth Hitchcock Medical Center, Lebanon.
Todd A MacKenzieDepartment of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis work aims to understand the performance of early warning scores calculated using intermittent vital signs to identify general deterioration in the medical/surgical setting and explore the feasibility of implementing near real-time scores using continuous monitoring as part of a systems approach to inpatient assessment.

methodsThis retrospective study used comparative trends and performance analyses to compare the ability of 4 early warning scores to identify patients requiring rescue and/or transfer to a higher level of care. Simulation was used to explore improvement in deterioration recognition with estimated scores calculated every 5 minutes as compared with those calculated using available intermittent vital signs to understand the potential impact of score calculation where continuous monitoring is available.

resultsThe National Early Warning Score performed better than other scores in identifying patients needing rescue and/or transfer to higher levels of care, with a sensitivity versus specificity analysis area under the curve value of 0.82. The National Early Warning Score also produced clinically acceptable misclassification ratios of 1:1 at scores of 6-7 or above. Simulation using this score, estimated every 5 minutes, improved detection of rescue and transfer events by over 5 hours on average.

conclusionsEarly warning scores can be used for the detection of general deterioration events and, if calculated frequently using parameters from continuous monitoring systems, can augment alarm-based continuous monitoring to create a system to further reduce unwitnessed arrests and deaths.

Indexed as

Early Warning ScorePatient TransferClinical DeteriorationFemaleHumansMaleMonitoring, PhysiologicQuality ImprovementRetrospective StudiesVital Signscontinuous monitoringearly warning scoreNEWSsurveillance monitoringsystems engineering

Identifiers

PMID40986494
PMCPMC12453095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.