Evidence map›Paper›PMID 33686341›Full record

ReviewNotfall & rettungsmedizin2022

[Decision support for patient admission in case of suspicion of COVID-19].

N Thies, B Urban, M Kraus, T Kohlmann, F Niedermirtl, S Prückner

Open access · greenAbstract readEnglish AbstractReview
In one paragraph

Review in Notfall & rettungsmedizin, 2022. 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
–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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. [Management of COVID-19 mass casualty incidents in nursing and retirement homes].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2022
    Article
  2. 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 4 institutions in 1 country.

N ThiesInstitut für Notfallmedizin und Medizinmanagement (INM), Klinikum der Universität München, LMU München, München, Deutschland.
B UrbanInstitut für Notfallmedizin und Medizinmanagement (INM), Klinikum der Universität München, LMU München, München, Deutschland.
M KrausAG 4 des Rettungsdienstausschusses Bayern, Regierung von Unterfranken, Würzburg, Deutschland.
T KohlmannInstitut für Notfallmedizin und Medizinmanagement (INM), Klinikum der Universität München, LMU München, München, Deutschland.
F NiedermirtlRettungsdienstbereich Amberg, ZRF Amberg, Amberg, Deutschland.
S PrücknerInstitut für Notfallmedizin und Medizinmanagement (INM), Klinikum der Universität München, LMU München, München, Deutschland.
LMU Klinikum · DELudwig-Maximilians-Universität München · DEBayer (Germany) · DEKlinikum St. Marien Amberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During a pandemic situation, patients with suspected coronavirus disease (COVID-19) are also treated by emergency medical services (EMS). In order to establish an adequate procedure, a decision aid for the allocation of patients in case of suspicion of COVID-19 has been prepared for the ambulance staff as well as for the emergency physician in the Bavarian EMS. The decision-making aid includes the current guidelines and recommendations on COVID-19. A flowchart in A4 format was chosen for the presentation of the decision aid, which is structured according to the ABCDE scheme (A-Airway, B-Breathing, C-Circulation, D-Disability, E-Environment/Exposure) established in EMS. The flowchart allows patients to be categorized in three stages, based on (vital) parameters and criteria such as risk factors and specific framework conditions. The aim is to provide emergency physicians and ambulance staff with guidance for the assessment of patients and the resulting transport decision with a suitable target clinic if necessary.

Indexed as

CategorizationEmergency medical servicePandemicPrehospital medical careSARS-CoV-2

Identifiers

PMID33686341
PMCPMC7930513
OpenAlexW3133838939

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.