Evidence map›Paper›PMID 33142973›Full record

Trial reportMedicina (Kaunas, Lithuania)2020

Evaluation of Three Methods for CPR Training to Lifeguards: A Randomised Trial Using Traditional Procedures and New Technologies.

Daniel González-Santano, Daniel Fernández-García, Elena Silvestre-Medina, Beatriz Remuiñán-Rodríguez, Fernando Rosell-Ortiz, Juan Gómez-Salgado, María Sobrido-Prieto, Beatriz Ordás-Campos, Santiago Martínez-Isasi

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Medicina (Kaunas, Lithuania), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.0field-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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

9 authors at 5 institutions in 2 countries.

Daniel González-SantanoPrincesa University Hospital, 28006 Madrid, Spain.
Daniel Fernández-GarcíaUniversity Hospital of Leon, 24071 León, Spain.
Elena Silvestre-MedinaPrincesa University Hospital, 28006 Madrid, Spain.
Beatriz Remuiñán-RodríguezUniversity Hospital Complex A Coruña, Galician Health Service (SERGAS), University of A Coruña, 15006 A Coruña, Spain.
Fernando Rosell-OrtizLa Rioja 061 Emergency and Urgent Care Department, 26007 Logroño, Spain.ORCID 0000-0003-0260-9955
Juan Gómez-SalgadoDepartment of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, 21007 Huelva, Spain.ORCID 0000-0001-9053-7730
María Sobrido-PrietoDepartment of Health Sciences, School of Nursing and Podiatry, University of A Coruña, 15006 A Coruña, Spain.
Beatriz Ordás-CamposUniversity Hospital of Leon, 24071 León, Spain.
Santiago Martínez-IsasiCLINURSID Research Group, Santiago de Compostela's Health Research Institute (IDIS), Faculty of Nursing, University of Santiago de Compostela, 15705 Santiago de Compostela, Galicia, Spain.ORCID 0000-0001-8075-7668
Hospital de León · ESHospital Universitario de La Princesa · ESUniversidade da Coruña · ESUniversidad de Especialidades Espíritu Santo · ECUniversidade de Santiago de Compostela · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cardiopulmonary ResuscitationMobile ApplicationsHumansManikinsPressureThoraxapplied health technologycardiopulmonary resuscitationeducationhealth technology productsmobile applicationteaching

Identifiers

PMID33142973
PMCPMC7692746
OpenAlexW3097551581

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.