Evidence map›Paper›PMID 36513965›Full record

ArticleInternational journal of emergency medicine2022

Audit of a computerized version of the Manchester triage system and a SIRS-based system for the detection of sepsis at triage in the emergency department.

Ken Dewitte, Elyne Scheurwegs, Sabrina Van Ierssel, Hilde Jansens, Karolien Dams, Ella Roelant

Open access · goldAbstract read
In one paragraph

Article in International journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Diagnostic accuracy of PCT, IL-6, and MR-ProADM for early identification of sepsis in the emergency department.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Observational
  2. Article
  3. Observational
  4. Be-SNAP: the Belgian Sepsis National Action Plan.Frontiers in public health · 2025
    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 at 2 institutions in 1 country.

Ken DewitteEmergency Department, Antwerp University Hospital, Edegem, Belgium. ken.dewitte@gmail.com.
Elyne ScheurwegsADREM (Advanced Database Research and Modelling), Biomedical Informatics Research Center Antwerp (Biomina), University of Antwerp, Antwerpen, Belgium.
Sabrina Van IersselDepartment of General Internal Medicine, infectious diseases and tropical medicine, Antwerp University Hospital, Edegem, Belgium.
Hilde JansensDepartment of Infection Control and Microbiology, Antwerp University Hospital, Edegem, Belgium.
Karolien DamsDepartment of Intensive Care Medicine, Antwerp University Hospital, Edegem, Belgium.
Ella RoelantClinical Trial Center (CTC), Clinical Research Center Antwerp, Antwerp University Hospital, Edegem, Belgium.
Antwerp University Hospital · BEUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and importanceDifferent triage systems can be used to screen for sepsis and are often incorporated into local electronic health records. Often the design and interface of these digitalizations are not audited, possibly leading to deleterious effects on screening test performance.

objectiveTo audit a digital version of the MTS for detection of sepsis during triage in the ED.

designA single-center retrospective study SETTINGS AND

participantsPatients (n=29766) presenting to an ED of a tertiary-care center who received formal triage were included. OUTCOME MEASURES AND ANALYSIS: Calculated performance measures included sensitivity, specificity, likelihood ratios, and AUC for the detection of sepsis. Errors in the application of the specific sepsis discriminator of the MTS were recorded. MAIN

resultsA total of 189 (0.7%) subjects met the Sepsis-3 criteria, with 47 cases meeting the criteria for septic shock. The MTS had a low sensitivity of 47.6% (95% CI 40.3 to 55.0) for allocating sepsis patients to the correct triage category. However, specificity was high at 99.4% (95% CI 99.3 to 99.5).

Indexed as

Emergency departmentManchester triage systemSepsis

Identifiers

PMID36513965
PMCPMC9745734
OpenAlexW4311236545

What OpenQuestion 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 OpenQuestion graph.