SynthesisClinical medicine (London, England)2024
Strategies to identify medical patients suitable for management through same-day emergency care services: A systematic review.
Synthesis in Clinical medicine (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Using Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Predict Inpatient Admitting Specialty for Emergency Department Patients: Single Centre Deep Learning Analysis.Emergency medicine Australasia : EMA · 2026Article
- Enhancing the accuracy of a multivariable prediction model to identify medical patients suitable for same day emergency care services.BMJ health & care informatics · 2026Article
- Article
- Provision of medical same day emergency care services within the UK: analysis from the Society for Acute Medicine Benchmarking Audit.BMJ open · 2025Article
- Never forget the basics while seeking correct diagnosis and management.Clinical medicine (London, England) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Same-day emergency care (SDEC) in unplanned and emergency care is an NHS England (NHSE) priority. Optimal use of these services requires rapid identification of suitable patients. NHSE suggests the use of one tool for this purpose. This systematic review compares studies that evaluate the performance of selection tools for SDEC pathways. Nine studies met the inclusion criteria. Three scores were evaluated: the Amb score (seven studies), Glasgow Admission Prediction Score (GAPS) (six studies) and Sydney Triage to Admission Risk Tool (START) (two studies). There was heterogeneity in the populations assessed, exclusion criteria used and definitions used for SDEC suitability, with proportions of patients deemed 'suitable' for SDEC ranging from 20 to 80%. Reported score sensitivity and specificity ranged between 18-99% and 10-89%. Score performance could not be compared due to heterogeneity between studies. No studies assessed clinical implementation. The current evidence to support the use of a specific tool for SDEC is limited and requires further evaluation.
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Registered trials
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