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Record W2334070053 · doi:10.1186/s13643-016-0234-4

Disparities in a provision of in-hospital post-arrest interventions for out-of-hospital cardiac arrest (OHCA) in the elderly population—protocol for a systematic review

2016· review· en· W2334070053 on OpenAlexaff
Joanna Bielecki, Josephine Wong, Nicholas Mitsakakis, Prakesh S. Shah, Murray Krahn, Valeria E. Rac

Bibliographic record

VenueSystematic Reviews · 2016
Typereview
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsMount Sinai HospitalToronto General HospitalVale (Canada)University of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicinePsychological interventionData extractionSystematic reviewReturn of spontaneous circulationPopulationMeta-analysisProtocol (science)ConfoundingMEDLINEFamily medicineEmergency medicineCardiopulmonary resuscitationAlternative medicinePsychiatryInternal medicineEnvironmental healthResuscitationPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a significant cause of death in developed countries. The majority of OHCA patients are elderly (≥65 years), and it was documented that they were less likely than younger patients to receive the evidence-based interventions, even though the improvement in survival in the elderly age group was higher than in younger population. Our goal is to investigate any disparity in the provision of post-arrest care for the elderly with OHCA and a sustained return of spontaneous circulation (ROSC). METHODS/DESIGN: Eight relevant, electronic databases will be systematically searched to identify eligible studies. The searches will be supplemented with gray literature searching of theses, dissertations, and hand searching of pertinent journals. Two independent reviewers will screen the titles and abstracts and select studies for full text analysis using Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) method, and both will extract information from the selected studies employing a form based on the Data Extraction Template for Cochrane Reviews. A team of three reviewers will assess the quality of the studies with the modified Downs and Black scale. Statistical methods for evidence synthesis, such as meta-analysis and meta-regression, will be applied to compare and combine the evidence regarding the association between age and intervention provision/utilization, adjusting for a number of significant confounders, such as patient characteristics and co-morbidities and availability of intervention techniques, as well as study specific characteristics. The strength of evidence from the selected studies will be assessed using a modified Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) system. DISCUSSION: The findings obtained from this systematic review should inform whether disparity exists in the provision of post-arrest care for the elderly (≥ 65 years old) with OHCA or not. Addressing this problem has a potential to substantially increase the number of > 65-year-old, long-term survivors. The results of our review might also point to the gaps in the published literature that specifically examines disparity in provision of care for this population. This systematic review was designed in accordance with the Preferred Reporting Guidelines for Systematic reviews and Meta-analyses (PRISMA statement), while the protocol follows the Preferred Reporting items for Systematic review and Meta-analysis protocols (PRISMA-P) statement. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42015027822.

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)0.081
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.081
Threshold uncertainty score0.430

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0810.083
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0200.024
Bibliometrics0.0130.010
Science and technology studies0.0040.004
Scholarly communication0.0070.007
Open science0.0060.005
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0450.005

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 head0.057
GPT teacher head0.412
Teacher spread0.355 · 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 designSystematic review
Domainnot available
GenreProtocol

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

Citations12
Published2016
Admission routes1
Has abstractyes

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