The effect of early warning scoring systems on adverse outcome in surgical patients: A systematic review.

Annick Stolze, Tara N M Woolley-Hendriks, Yara Bassa, Ralph de Vries, Christa Boer, Peter G Noordzij

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Review in International journal of nursing studies advances, 2024. 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

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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.

Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review.JMIR research protocols · 2025
Article

4 · The record

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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.

Annick StolzeDepartment of Anesthesiology, Amsterdam University Medical Centre, VU University, Amsterdam, The Netherlands.

Tara N M Woolley-HendriksDepartment of Anesthesiology, Intensive Care and Pain management, St. Antonius Hospital Nieuwegein, Nieuwegein, The Netherlands.

Yara BassaDepartment of Anesthesiology, Amsterdam University Medical Centre, VU University, Amsterdam, The Netherlands.

Ralph de VriesMedical Library, VU University, Amsterdam, The Netherlands.

Christa BoerDepartment of Anesthesiology, Amsterdam University Medical Centre, VU University, Amsterdam, The Netherlands.

Peter G NoordzijDepartment of Anesthesiology, Intensive Care and Pain management, St. Antonius Hospital Nieuwegein, Nieuwegein, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An early warning scoring system aims to detect clinical deterioration at an early stage and prevent failure-to-rescue in hospitalized patients. In this systematic review we studied the effect of an early warning scoring system on adverse outcome in surgical patients. Methods: This review was conducted and reported according to PRISMA and the protocol of this review is registered at PROSPERO, under the registration number CRD42018107799. PubMed, Embase.com, CINAHL (Ebsco) and Wiley/Cochrane Library were searched from inception up to 20-06-2023 for randomized controlled trials and non-randomized studies of interventions. Studies were eligible for inclusion if the effect of an early warning scoring system using spot check monitoring was studied. Results: Eight articles were included, of which two were randomised controlled trials. The overall risk of bias was high. A statistically significant decrease in mortality was seen in three studies. Two studies reported a decrease in cardiopulmonary arrests, and three studies found a decrease in ICU-admissions. There was heterogeneity among studies regarding the types of complications that were reported. Conclusions: The evidence in favor of an early warning scoring system to reduce complications and mortality in surgical patients is low, mainly due to a limited number of studies and poor study design. Well-designed trials are needed to investigate whether an early warning scoring system improves outcome in surgical patients.

Indexed as

Cardiopulmonary arrestClinical deteriorationEarly Warning ScoreFailure to rescueMortalityOutcome assessmentPatient acuitySurgical patientsSystematic review

Identifiers

PMID39717155

DOI10.1016/j.ijnsa.2024.100256

PMCPMC11665940

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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.