Evidence map›Paper›PMID 36526319›Full record

ArticleBMJ open2022

Performance of scoring systems in selecting short stay medical admissions suitable for assessment in same day emergency care: an analysis of diagnostic accuracy in a UK hospital setting.

Catherine Atkin, Suzy Gallier, Elizabeth Wallin, Vinay Reddy-Kolanu, Elizabeth Sapey

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 3 institutions in 1 country.

Catherine AtkinBirmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK c.atkin@nhs.net.ORCID 0000-0003-0596-8515
Suzy GallierDepartment of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Elizabeth WallinAcute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Vinay Reddy-KolanuAcute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Elizabeth SapeyBirmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.ORCID 0000-0003-3454-5482
Pennine Acute Hospitals NHS Trust · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Birmingham · GB

Funding

Medical Research Council MC_PC_21015Medical Research Council MC_PC_21028
6 · The paper itself

Abstract

objectivesTo assess the performance of the Amb score and Glasgow Admission Prediction Score (GAPS) in identifying acute medical admissions suitable for same day emergency care (SDEC) in a large urban secondary centre.

designRetrospective assessment of routinely collected data from electronic healthcare records.

settingSingle large urban tertiary care centre.

participantsAll unplanned admissions to general medicine on Monday-Friday, episodes starting 08:00-16:59 hours and lasting up to 48 hours, between 1 April 2019 and 9 March 2020.

main outcome measuresSensitivity, specificity, positive and negative predictive value of the Amb score and GAPS in identifying patients discharged within 12 hours of arrival.

results7365 episodes were assessed. 94.6% of episodes had an Amb score suggesting suitability for SDEC. The positive predictive value of the Amb score in identifying those discharged within 12 hours was 54.5% (95% CI 53.3% to 55.8%). The area under the receiver operating characteristic curve (AUROC) for the Amb score was 0.612 (95% CI 0.599 to 0.625).42.4% of episodes had a GAPS suggesting suitability for SDEC. The positive predictive value of the GAPS in identifying those discharged within 12 hours was 50.5% (95% CI 48.4% to 52.7%). The AUROC for the GAPS was 0.606 (95% CI 0.590 to 0.622).41.4% of the population had both an Amb and GAPS score suggestive of suitability for SDEC and 5.7% of the population had both and Amb and GAPS score suggestive of a lack of suitability for SDEC.

conclusionsThe Amb score and GAPS had poor discriminatory ability to identify acute medical admissions suitable for discharge within 12 hours, limiting their utility in selecting patients for assessment within SDEC services within this diverse patient population.

Indexed as

Emergency Medical ServicesHospitalizationEmergency Service, HospitalHumansRetrospective StudiesTertiary Care CentersUnited Kingdomgeneral medicine (see internal medicine)internal medicineorganisation of health services

Identifiers

PMID36526319
PMCPMC9764605
OpenAlexW4311693226

What OpenQuestion holds

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LicenceCC BY-NC
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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.