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176. Out-of-hospital cardiac arrests in the Gulf region: a scoping review

2020· review· en· W3082393344 on OpenAlexaff
Alan M Batt, Chelsea Lanos, Shannon Delport, Dalal Alhasan, Shane Knox, Megan L. Anderson, Assim Alhmoudi, Martine Dennekmap, Saleh Fares, Fergal Cummins

Bibliographic record

VenueEuropean Journal of Emergency Medicine · 2020
Typereview
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsFanshawe College
Fundersnot available
KeywordsMedicineGrey literatureSubject matterMEDLINEMedical emergencyPolitical science

Abstract

fetched live from OpenAlex

Background: Out-of-hospital cardiac arrest (OHCA) is a major cause of mortality worldwide. Survival rates from OHCA vary drastically around the world. Recent studies have demonstrated low survival rates in Saudi Arabia, the United Arab Emirates (UAE) and Qatar. However, there remains a paucity of data published on OHCA in the Gulf Cooperation Council (GCC) region, and the issue is poorly understood as a whole. Anecdotally and from our experience, there are unique demographic, cultural and logistical challenges related to the management of OHCA in the region. As a result, evidence produced in Western systems can be challenged when attempts are made to directly translate it to systems in the region. In order to begin to address OHCA in a meaningful manner in the region, we first need to quantify the issue. Methods: A scoping study using Arksey and O’Malley’s approach was used to synthesise the evidence (published and grey literature) on OHCA in the GCC region. A scoping study was identified as the most appropriate approach due to the predicted lack of published data, the anticipated heterogeneity among study characteristics, and variances in reporting. Several electronic databases were searched from 1990 onwards. Non-indexed journals in the region were identified and searched, and multiple Google and Google Scholar searches were conducted. Several subject matter experts in the region were also consulted. All types of studies were included with no language restrictions applied. Results: A total of 22 studies were included in the review from Saudi Arabia, the UAE, Oman, Kuwait, and Qatar. Three of these were reports or theses (that were later described in peer-reviewed articles), three were abstracts, and one was a letter to the editor, with the remaining 15 comprised of articles (published and unpublished). No literature was identified from the state of Bahrain. OHCA victims in the GCC region are consistently younger, predominantly male, and more co-morbid than their counterparts in Western studies. We observed low levels of EMS utilisation, low bystander cardiopulmonary resuscitation (CPR) rates, low return of spontaneous circulation (ROSC) rates, and lower levels of survival to hospital discharge across the region when compared to Western studies. There are notable differences in the characteristics of OHCA among different ethnic groups in the region (e.g. Arab, South Asian and North African). Survival rates for paediatric OHCA were low. Discussion: This study is the first of its kind to collate data on OHCA in the GCC region. It has highlighted unique demographical traits related to OHCA populations in the region. In addition, we have attempted to outline some of the challenges related to OHCA management in the region. The study findings may help to inform the design of initiatives and systems to identify and manage OHCA in the GCC region. It may also aid in the identification of issues related to knowledge translation from Western systems, and assist in the identification of priority areas for future research.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.549
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.102
GPT teacher head0.393
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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