Evidence map›Paper›PMID 41142206›Full record

ArticleResuscitation plus2025

Effectiveness of a smartwatch-based feedback system in improving cardiopulmonary resuscitation quality: a simulation study.

Leandro Menezes Alves da Costa, Rafael Otto Schneidewind, Rogerio Ferrari Peron, Thiago Timmerman, Fabio de Cerqueira Lario, Frederico Rafael Moreira, Rafael Amorim Belo Nunes, Thiago Luis Scudeler

Abstract read
In one paragraph

Article in Resuscitation plus, 2025. 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.

  1. 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

8 authors.

Leandro Menezes Alves da CostaHospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Rafael Otto SchneidewindHospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Rogerio Ferrari PeronHospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Thiago TimmermanHospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Fabio de Cerqueira LarioHospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Frederico Rafael MoreiraHospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Rafael Amorim Belo NunesHospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Thiago Luis ScudelerHospital Alemão Oswaldo Cruz, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background High-quality cardiopulmonary resuscitation (CPR) is a critical determinant of survival in cardiac arrest. Although current guidelines endorse the use of feedback devices to improve CPR performance, their limited availability in clinical settings poses a significant barrier. To address this gap, we developed a CPR feedback application for smartwatches, leveraging wearable technology to provide real-time, user-friendly guidance for chest compressions. Our study was to assess whether a commercially available smartwatch could function effectively as a real-time CPR feedback device and improve compression quality. Methods In this single-center, sequential trial, 90 healthcare professionals performed two 2-minute sessions of chest compressions on a manikin, separated by a 2-minute rest. The first session was performed without feedback, and the second using the VIMO feedback application integrated into an Apple Watch Series 9. The primary outcome was the Overall Performance Score, a composite of rate and depth effectiveness. Results Use of the smartwatch-based feedback system significantly improved CPR quality. The Overall Performance Score increased from a median of 82.5 % (IQR 49.0-97.0) without feedback to 97.0 % (IQR 80.0-99.0) with the device (

Indexed as

Basic Life SupportCardiopulmonary resuscitationCPR FeedbackMedical educationTraining

Identifiers

PMID41142206
PMCPMC12550195

What OpenQuestion holds

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LicenceCC BY
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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.