Evidence map›Paper›PMID 39478734›Full record

ArticleExperimental and therapeutic medicine2024

Efficacy of mechanical against manual method in cardiopulmonary resuscitation for out‑of‑hospital cardiac arrest: A meta‑analysis.

Xinqing Zhu, Jun Fu

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2024. 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

2 authors.

Xinqing ZhuDepartment of Emergency Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, Shandong 250031, P.R. China.
Jun FuDepartment of Emergency Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, Shandong 250031, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Out-of-hospital cardiac arrest (OHCA) remains a leading cause of mortality worldwide, with the efficacy of cardiopulmonary resuscitation (CPR) methods playing a crucial role in patient outcomes. The present study aimed to compare the effectiveness of mechanical and manual CPR in OHCA, focusing on three outcomes: Return of spontaneous circulation (ROSC), survival to admission and survival till discharge. A comprehensive meta-analysis was conducted, incorporating 39 studies for ROSC, 28 for survival to admission, and 30 for survival till discharge, totalling 144,430, 130,499 and 162,088 participants, respectively. The quality of evidence was evaluated using the GRADE approach, assessing risk of bias, inconsistency, indirectness, imprecision and publication bias. Statistical analysis included pooled odds ratios (ORs) with 95% confidence intervals (CIs) and sensitivity analyses. For ROSC, the pooled OR was 1.09 (95% CI: 0.92-1.29), demonstrating no significant difference between mechanical and manual CPR. Survival to admission favoured mechanical CPR with a pooled OR of 1.25 (95% CI: 1.09-1.43). No conclusive difference was found for survival till discharge, with a pooled OR of 0.79 (95% CI: 0.61-1.02). Substantial heterogeneity was observed across outcomes. Evidence of potential publication bias was noted, particularly in the survival to admission outcome. The overall quality of evidence was graded as very low, mainly due to high heterogeneity and indirectness of evidence. The study suggests that mechanical CPR may improve short-term outcomes such as survival to admission in patients with OHCA but does not demonstrate a significant long-term survival benefit over manual CPR.

Indexed as

cardiopulmonary resuscitationmeta-analysisout of hospital cardiac arrest

Identifiers

PMID39478734
PMCPMC11523225

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.