Evidence map›Paper›PMID 35596887›Full record

ArticleJournal of medical systems2022

Novel Prehospital Phenotypes and Outcomes in Adult-Patients with Acute Disease.

Francisco Martín-Rodríguez, Raúl López-Izquierdo, Ancor Sanz-García, Carlos Del Pozo Vegas, Miguel Ángel Castro Villamor, Agustín Mayo-Iscar, José L Martín-Conty, Guillermo José Ortega

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of medical systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. The use and impact of prehospital blood lactate measurements in acute non-traumatic patients: a systematic review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Pooled it
  2. Observational
  3. Article
  4. Article
  5. Observational
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 at 4 institutions in 2 countries.

Francisco Martín-Rodríguez *Advanced Clinical Simulation Center. Faculty of Medicine, Valladolid University, Valladolid, Spain. fmartin@saludcastillayleon.es.ORCID http://orcid.org/0000-0002-1773-2860
Raúl López-Izquierdo *Advanced Clinical Simulation Center. Faculty of Medicine, Valladolid University, Valladolid, Spain.
Ancor Sanz-GarcíaData Analysis Unit, Health Research Institute, Hospital de La Princesa, Madrid (IIS-IP), Spain. ancor.sanz@gmail.com.ORCID http://orcid.org/0000-0002-5024-5108
Carlos Del Pozo VegasAdvanced Clinical Simulation Center. Faculty of Medicine, Valladolid University, Valladolid, Spain.
Miguel Ángel Castro VillamorAdvanced Clinical Simulation Center. Faculty of Medicine, Valladolid University, Valladolid, Spain.
Agustín Mayo-IscarDepartment of Statistics and Operative Research. Faculty of Medicine, University of Valladolid, Valladolid, Spain.
José L Martín-ContyFacultad de Ciencias de La Salud, Universidad de Castilla La Mancha, Talavera de La Reina, Spain.
Guillermo José OrtegaData Analysis Unit, Health Research Institute, Hospital de La Princesa, Madrid (IIS-IP), Spain.
Universidad de Valladolid · ESHospital Universitario de La Princesa · ESNational University of Quilmes · ARUniversity of Castilla-La Mancha · ES

Funding

Gerencia Regional de Salud de Castilla y Leon GRS 1678/A/18Gerencia Regional de Salud de Castilla y Leon GRS 1903/A/19
6 · The paper itself

Abstract

An early identification of prehospital phenotypes may allow health care workers to speed up and improve patients' treatment. To determine emergency phenotypes by exclusively using prehospital clinical data, a multicenter, prospective, and observational ambulance-based study was conducted with a cohort of 3,853 adult patients treated consecutively and transferred with high priority from the scene to the hospital emergency department. Cluster analysis determined three clusters with highly different outcome scores and pathological characteristics. The first cluster presented a 30-day mortality after the index event of 45.9%. The second cluster presented a mortality of 26.3%, while mortality of the third cluster was 5.1%. This study supports the detection of three phenotypes with different risk stages and with different clinical, therapeutic, and prognostic considerations. This evidence could allow adapting treatment to each phenotype thereby helping in the decision-making process.

Indexed as

Emergency Medical ServicesAcute DiseaseAmbulancesHumansPhenotypeProspective StudiesClinical Decision-MakingClinical DeteriorationClinical PhenotypesEmergency Medical ServicesPre-hospital Care

Identifiers

PMID35596887
PMCPMC9123608
OpenAlexW4281261598

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.