Evidence map›Paper›PMID 35237362›Full record

ArticleWorld journal of emergency medicine2022

Layperson's performance on an unconversant type of AED device: A prospective crossover simulation experimental study.

Chao-Yu Lei, Heng-Wei Qin, Xue-Jie Dong, Jia-Lin You, Lin Zhang

Open access · bronzeAbstract read
In one paragraph

Article in World journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 19% 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, 6 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Chao-Yu LeiShanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Heng-Wei QinShanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Xue-Jie DongDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Jia-Lin YouShanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Lin ZhangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Shanghai Jiao Tong University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiverse models of automated external defibrillators (AEDs) possess distinctive features. This study aimed to investigate whether laypersons trained with one type of AED could intelligently use another initial contact type of AED with varying features.

methodsThis was a prospective crossover simulation experimental study conducted among college students. Subjects were randomly trained with either AED1 (AED1 group) or AED2 (AED2 group), and the AED operation performance was evaluated individually (Phase I test). At the 6-month follow-up AED performance test (Phase II test), half of the subjects were randomly switched to use another type of AED, which formed two switches (Switch A: AED1-1 group vs. AED2-1 group; Switch B: AED2-2 group vs. AED1-2 group).

resultsA total of 224 college students participated in the study. In the phase I test, a significantly higher proportion of successful defibrillation and shorter shock delivery time to achieve successful defibrillation was observed in the AED2 group than in the AED1 group. In the phase II test, no statistical differences were observed in the proportion of successful defibrillation in Switch A (51.4% vs. 36.6%,

conclusionCollege students were able to effectively use AEDs different from those used in the initial training after six months, although the time to shock delivery was prolonged.

Indexed as

Automated external defibrillatorCardiac arrestLaypersonSimulation

Identifiers

PMID35237362
PMCPMC8861341
OpenAlexW4206559083

What OpenQuestion holds

Textmetadata
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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.