Evidence map›Paper›PMID 41725764›Full record

SynthesisFrontiers in public health2026

Using serious games for cardiopulmonary resuscitation training: a meta-analysis and systematic review.

Zongrong Chen, Ying Chen, Lu Zhang, Zhenhua He

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zongrong ChenEmergency Department, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, China.
Ying ChenEmergency Department, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, China.
Lu ZhangEmergency Department, Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine, Hangzhou, China.
Zhenhua HeSchool of Medicine and Health, Shaoxing Institute of Technology, Shaoxing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Serious games have emerged as an innovative educational approach, holding potential to improve the quality and efficacy of cardiopulmonary resuscitation (CPR) training. The objective of this meta-analysis was to systematically evaluate the impact of serious games on CPR training and educational outcomes. Methods: We systematically searched eight databases to identify randomized controlled trials (RCTs) that compared the effectiveness of serious games with that of traditional training in CPR education. The literature search was conducted up to September 20, 2025. All statistical analyses were performed using RevMan 5.4 software. Results: A total of 11 RCTs involving 409 participants in the serious game groups and 388 participants in the control groups were included. We found no statistically significant differences between groups in CPR compression depth (SMD = 0.63, 95% CI: -0.09 to 1.35, Conclusion: Current evidence does not show a statistically significant advantage for serious games over traditional CPR training methods. Importantly, the evidence is also insufficient to confirm their true equivalence. A cautious stance regarding their widespread adoption is therefore warranted. Future research should prioritize high-quality, adequately powered studies with rigorous designs, standardized intervention protocols (e.g., game types, training duration), and unified internationally recognized assessment standards.

Indexed as

Cardiopulmonary ResuscitationVideo GamesHumansRandomized Controlled Trials as Topiccardiopulmonary resuscitationeducationmeta-analysisserious gamestraining

Identifiers

PMID41725764
PMCPMC12916568

What Socratic 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 Socratic graph.