Evidence map›Paper›PMID 39046967›Full record

ArticlePloS one2024

The problem of unconscious and unidentified patients in emergency department admissions; a 3-year retrospective study.

Demet Acar, Fatih Cemal Tekin

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

2 authors.

Demet AcarDepartment of Emergency Medicine, Konya City Hospital, Karatay, Konya, Türkiye.ORCID 0009-0000-4748-4733
Fatih Cemal TekinDepartment of Emergency Medicine, Konya City Hospital, Karatay, Konya, Türkiye.ORCID 0000-0001-8410-5552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unidentified patients present a medical information dilemma for all medical departments but can be a major problem in Emergency Departments (EDs). This study aimed to determine the clinical and socio-demographic profile of 'unidentified' patients admitted to the ED with altered consciousness and to define the outcomes of these patients. All ED presentations were analyzed retrospectively for the unidentified patients brought to the hospital by ambulance with altered consciousness. We assessed demographic data, clinical presentation, discharge information, and major clinical outcomes. In this study, 1324 unidentified patients were admitted with altered consciousness to the ED. Of these, 1048 (80.1%) were foreign nationals. In this patient group, the most common diagnoses were; traffic accidents, assault or sharp object injuries, drug addicts, or syncope-epilepsy. In addition, the number of patients who left the hospital without permission or escaped and therefore could not be diagnosed was higher in the foreign nationalities group and constituted approximately one-fifth of the patients (18.9% vs. 5.4%, p:0.001). Of the unidentified patients, 903 (68.2%) were discharged after treatment. 351 (26.5%) patients left the ED unattended. 32 (2.4%) patients were hospitalized. 38 (2.9%) patients died in ED. The majority of the unidentified patients admitted to the ED with altered consciousness were immigrant males. Unidentified patients are a high-need population, most commonly presenting with substance misuse or trauma. Although most of the patients were seeking urgent treatment, more than one-fourth of the patients left the hospital without appropriate treatment and most of these patients were also immigrants. We believe that economic, linguistic, and social disadvantages played an important role in this outcome.

Indexed as

Emergency Service, HospitalAdolescentAdultAgedChildFemaleHospitalizationHumansMaleMiddle AgedPatient AdmissionRetrospective StudiesUnconsciousnessYoung Adult

Identifiers

PMID39046967
PMCPMC11268634

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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.