Evidence map›Paper›PMID 38229496›Full record

Observational studyDeutsches Arzteblatt international2024

External Validation of the SMART Medical Clearance Form for Emergency Patients With Psychiatric Manifestations.

Delia Festini, Florian Wüthrich, Michael Christ

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Deutsches Arzteblatt international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

3 authors at 1 institution in 1 country.

Delia FestiniEmergency Department, Cantonal Hospital of Lucerne; Medical Controlling, Cantonal Hospital of Lucerne.
Florian Wüthrich
Michael Christ
University of Lucerne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe SMART Medical Clearance Form, developed in the USA, is used to standardize the medical evaluation of emergency patients with primarily psychiatric manifestations. The goal of this study was external validation of the use of this form.

methodsData were collected retrospectively on emergency patients with psychiatric manifestations. The combined primary clinical endpoint consisted of hospitalization, repeated presentation to the emergency room, and/or death within 30 days.

resultsFrom September 2019 to June 2022, 2404 patients presented with psychiatric manifestations to the emergency room of the Cantonal Hospital of Lucerne, Switzerland, of whom 674 were included in the study. 134 did not satisfy any of the parameters of the SMART Medical Clearance Form (the nSMART group), while 540 satisfied at least one parameter (the pSMART group). In the nSMART group, there were no hospitalizations for a medical indication, no repeated presentations for medical reasons, and no deaths within 30 days. In the pSMART group, there were 90 hospitalizations, 4 repeated presentations, and 4 deaths within 30 days. Although 44% of the patients in the nSMART group underwent further diagnostic studies, such as imaging or laboratory tests, none of these studies led to any change in these patients' further clinical management.

conclusionUse of the SMART Medical Clearance Form apparently enables safe standardized processing of patients with psychiatric manifestations in the emergency room.

Indexed as

Mental DisordersSurgical ClearanceEmergency Service, HospitalHospitalizationHumansRetrospective Studies

Identifiers

PMID38229496
PMCPMC11019756
OpenAlexW4390956627

What OpenQuestion holds

Textmetadata
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.