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[Effects between chest-compression-only cardiopulmonary resuscitation and standard cardiopulmonary resuscitation for patients with out-of-hospital cardiac arrest: a Meta-analysis].

2018· review· en· W2990366471 on OpenAlexaboutno aff
Xueli Liao, Bihua Chen, Hui Tang, Yanze Wang, Min Wang, Manhong Zhou

Bibliographic record

VenuePubMed · 2018
Typereview
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineReturn of spontaneous circulationCardiopulmonary resuscitationMeta-analysisConfidence intervalCochrane LibraryFunnel plotResuscitationEmergency medicineInternal medicinePublication bias

Abstract

fetched live from OpenAlex

OBJECTIVE: To comprehensively evaluate and compare the resuscitation efficacy of chest-compression-only cardiopulmonary resuscitation (CCPR) and standard cardiopulmonary resuscitation (SCPR) for patients with out-of-hospital cardiac arrest (OHCA). METHODS: Databases such as PubMed, Embase, Ovid, Cochrane Library, Wanfang, CNKI, VIP, CBM were searched from the date of their foundation to March 2nd 2018, and the studies on the difference of effects between CCPR and SCPR for patients with OHCA were retrieved. The outcomes included the return of spontaneous circulation (ROSC) rate, survival to hospital discharge, neurological function completion rate. Two reviewers independently screened the literature meeting the inclusion criteria, independently collected information and evaluated the literature quality. Meta-analysis was conducted using RevMan 5.3 software, and sensitivity analysis was conducted by selecting model analysis method and removing single research method. Funnel plot was used to evaluate publication bias. RESULTS: A total of 10 cohort studies were included, including 174 163 patients with OHCA, of which 95 157 undergone CCPR and 79 006 undergone SCPR. The scores of the Newcastle-Ottawa scale (NOS) were 8-9, indicating that the quality of the literatures included was high. It was shown by the Meta-analysis that CCPR had the higher rate of survival to hospital discharge [relative risk (RR) = 1.04, 95% confidence interval (95%CI) = 1.00-1.08, P = 0.04] and neurological function completion (RR = 1.11, 95%CI = 1.06-1.17, P < 0.000 1) than SCPR, but there was no significant difference in ROSC rate between the two groups (RR = 1.01, 95%CI = 0.98-1.04, P = 0.52). In the subgroup, there was no statistical significance between CCPR and SCPR in the rate of survival to hospital discharge in cardiac OHCA patients (RR = 1.13, 95%CI = 0.82-1.57, P = 0.45). However, in non-cardiac OHCA group, SCPR showed more benefits than CCPR in improving the rate of survival to hospital discharge (RR = 0.88, 95%CI = 0.80-0.96, P = 0.004). The above analysis results were consistent in the fixed effect model and random effect model, indicating that the results were reliable and stable. It was shown by the funnel plot that most of the studies were left-right inverted funnel type, indicating a low publication bias. However, the bias could not be completely excluded due to the small number of included literatures. CONCLUSIONS: For patients without OHCA etiological classification, CCPR was not less than SCPR in improving ROSC rate, discharge survival rate and good neurological function, and CCPR was more advantageous in learning and the willingness of bystanders to implement. However, when non-cardiogenic OHCA could be identified, SCPR should be recommended when conditions permit.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.022
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0150.055
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.296
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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