Evidence map›Paper›PMID 38671511›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2024

The skåne emergency medicine (SEM) cohort.

Ulf Ekelund, Bodil Ohlsson, Olle Melander, Jonas Björk, Mattias Ohlsson, Jakob Lundager Forberg, Pontus Olsson de Capretz, Axel Nyström, Anders Björkelund

Abstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2024. 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
–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.

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.

  1. Article
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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

9 authors.

Ulf EkelundEmergency medicine, Department of Clinical Sciences Lund, Lund University, Department of Emergency Medicine, Skåne University Hospital, Lund, Sweden. ulf.ekelund@med.lu.se.ORCID http://orcid.org/0000-0002-0951-1582
Bodil OhlssonDepartment of Clinial Sciences Malmö, Lund University, Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden.
Olle MelanderDepartment of Clinial Sciences Malmö, Lund University, Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden.
Jonas BjörkOccupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Mattias OhlssonCentre for Environmental and Climate Science, Lund University, Lund, Sweden.
Jakob Lundager ForbergEmergency medicine, Department of Clinical Sciences Lund, Lund University, Department of Emergency Medicine, Helsingborg Hospital, Helsingborg, Sweden.
Pontus Olsson de CapretzEmergency medicine, Department of Clinical Sciences Lund, Lund University, Department of Emergency Medicine, Skåne University Hospital, Lund, Sweden.
Axel NyströmOccupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0001-6657-5681
Anders BjörkelundCentre for Environmental and Climate Science, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the European Union alone, more than 100 million people present to the emergency department (ED) each year, and this has increased steadily year-on-year by 2-3%. Better patient management decisions have the potential to reduce ED crowding, the number of diagnostic tests, the use of inpatient beds, and healthcare costs.

methodsWe have established the Skåne Emergency Medicine (SEM) cohort for developing clinical decision support systems (CDSS) based on artificial intelligence or machine learning as well as traditional statistical methods. The SEM cohort consists of 325 539 unselected unique patients with 630 275 visits from January 1st, 2017 to December 31st, 2018 at eight EDs in the region Skåne in southern Sweden. Data on sociodemographics, previous diseases and current medication are available for each ED patient visit, as well as their chief complaint, test results, disposition and the outcome in the form of subsequent diagnoses, treatments, healthcare costs and mortality within a follow-up period of at least 30 days, and up to 3 years. DISCUSSION: The SEM cohort provides a platform for CDSS research, and we welcome collaboration. In addition, SEM's large amount of real-world patient data with almost complete short-term follow-up will allow research in epidemiology, patient management, diagnostics, prognostics, ED crowding, resource allocation, and social medicine.

Indexed as

Emergency Service, HospitalAdultArtificial IntelligenceCohort StudiesDecision Support Systems, ClinicalEmergency MedicineFemaleHumansMaleSwedenArtificial intelligenceDatabaseDecision-makingEmergency departmentEmergency medicineMachine learning

Identifiers

PMID38671511
PMCPMC11046860

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.