Evidence map›Paper›PMID 39762958›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2025

The development of a decision support tool in the prehospital setting for acute chest pain - a study protocol for an observational study (BRIAN2).

Elin Lökholm, Carl Magnusson, Johan Herlitz, Annica Ravn-Fischer, Ola Hammarsten, Magnus Johansson, Kristoffer Hallin, Kristoffer Wibring

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05767619 (Development of a Decision Support System in the Assessment of Patients With Chest Pain in the Prehospital Setting), which is not on this 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.

NCT05767619 recruitingnot on this map

Development of a Decision Support System in the Assessment of Patients With Chest Pain in the Prehospital Setting

TypeobservationalSponsorVastra Gotaland RegionRan2023 to 2027Enrolled2,000ConditionsChest Pain, Acute Coronary Syndrome, Chest--DiseasesArmsTroponin hs-cTnI, Plasma glucose
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

8 authors.

Elin LökholmDepartment of Prehospital Emergency Care, Sahlgrenska University Hospital, Gothenburg, Sweden.
Carl MagnussonDepartment of Prehospital Emergency Care, Sahlgrenska University Hospital, Gothenburg, Sweden.
Johan HerlitzPreHospen-Centre for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Borås, Borås, Sweden.
Annica Ravn-FischerDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Ola HammarstenDepartment of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden.
Magnus JohanssonAmbulance Services, NU-sjukvården, Trollhättan, Sweden.
Kristoffer HallinAmbulance Services, Skaraborg Hospital, Skara, Sweden.
Kristoffer WibringPreHospen-Centre for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Borås, Borås, Sweden. kristoffer.wibring@gu.se.

Funding

ALF-agreement ALFGBG-965512Savings Banks Foundation Varberg HALLAND 993445
6 · The paper itself

Abstract

introductionChest pain is one of the most common reasons for contacting the emergency medical services (EMS). It is difficult for EMS personnel to distinguish between patients suffering from a high-risk condition in need of prompt hospital care and patients suitable for non-conveyance. A vast majority of patients with chest pain are therefore transported to the emergency department (ED) for further investigation even if hospital care is not necessary. Improved prehospital assessment and risk stratification, thus accurately and safely identifying patients suitable for non-conveyance, could prevent unnecessary transport to the ED. This would reduce ED crowding and overburdening sparse EMS resources. It would thus also probably reduce healthcare costs. Little is known about the prehospital use of the 5th generation, i.e. high-sensitivity troponin analyses. The aim of this project is to develop an EMS decision support tool using high-sensitivity troponin I for risk assessment of chest pain patients. METHODS AND ANALYSIS: This is a prospective, multicentre, cohort study including adult unselected EMS patients with chest pain. Data is being collected from 20 May 2023 to 31 December 2025, aiming to include at least 2,000 patients. High-sensitivity troponin I is being analysed bedside using Siemens Healthineers Atellica VTLi. In addition to prehospital troponin I, data is being collected on patient medical history, onset, vital signs, symptoms, ECG and diagnosis at hospital discharge. Several statistical analyses (random forest, logistic regression, gradient boosting) will be conducted to identify the best model for identifying patients with low-risk conditions suitable for non-conveyance. ETHICS AND DISSEMINATION: The study has been approved by the Swedish Ethical Review Authority (Dnr 2022-01066-01 and 2022-06846-02). Patients are being informed about the study both orally and in writing. The results of the study will be published in a peer-reviewed journal and will be presented at national and/or international conferences. REGISTRATION DETAILS: The study is registered at ClinicalTrials.gov (NCT05767619).

Indexed as

Chest PainEmergency Medical ServicesAdultDecision Support TechniquesFemaleHumansMaleMulticenter Studies as TopicObservational Studies as TopicProspective StudiesRisk AssessmentTroponin ITroponin IAmbulanceAMIChest painEmergency medical servicesEMSPrehospitalTroponin

Identifiers

PMID39762958
PMCPMC11706110

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.