Evidence map›Paper›PMID 40687266›Full record

ArticleJournal of multidisciplinary healthcare2025

SimMan 3G Simulation-Based Instruction for the Extracorporeal Cardiopulmonary Resuscitation Transfer Procedure.

Li Wang, Yu-Qin Ren, Yufei Qian, Rong-Qian Sun, Dan-Feng Li

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Li WangDepartment of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, 226006, People's Republic of China.
Yu-Qin RenDepartment of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, 226006, People's Republic of China.
Yufei QianDepartment of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, 226006, People's Republic of China.
Rong-Qian SunDepartment of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, 226006, People's Republic of China.
Dan-Feng LiDepartment of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, 226006, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this study is to determine if patient transfers involving extracorporeal cardiopulmonary resuscitation (ECPR) can be effectively taught using SimMan 3G training. Methods: To evaluate the efficacy of the training, 48 medical professionals were randomly assigned to either a conventional teaching group or a SimMan 3G simulation teaching group, and they each underwent training in the ECPR transfer process and were then assessed on their theoretical knowledge, practical skills, and patient transfer time. Results: The study recruited a total of 48 healthcare professionals, including 10 males and 38 females. The age distribution was as follows: 10 individuals aged 18-29 years, 24 individuals aged 30-44 years, and 39 individuals aged ≥45 years. All participants had an educational level of at least a bachelor's degree. There was a statistically significant difference in theoretical knowledge scores, operational skill scores, and patient transfer time between the pre- and post-training periods ( Conclusion: The training effect of the ECPR transfer process can be greatly improved by using the SimMan3G simulation-based teaching, and this method can also play a role in clinical continuing education with significantly less time and effort invested.

Indexed as

ECPRsimman 3Gsimulation teachingtransfer process

Identifiers

PMID40687266
PMCPMC12275920

What OpenQuestion holds

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Registered trials

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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.