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Record W3199528253 · doi:10.1016/j.cjco.2021.09.005

Sex, Race, and Age Differences of Cardiovascular Outcomes in Cardiac Resynchronization Therapy RCTs: A Systematic Review and Meta-analysis

2021· review· en· W3199528253 on OpenAlexaff
Bradley McKay, Nicholas W.H. Tseng, Hassan Sheikh, Mohammad K. Syed, Maureen Pakosh, Jessica E. Caterini, Abhinav Sharma, Tracey J. F. Colella, Kaja M. Konieczny, Kim A. Connelly, Michelle M. Graham, Michael McDonald, Laura Banks, Varinder K. Randhawa

Bibliographic record

VenueCJC Open · 2021
Typereview
Languageen
FieldMedicine
TopicCardiac pacing and defibrillation studies
Canadian institutionsUniversity of AlbertaSt. Michael's HospitalToronto Rehabilitation InstituteUniversity of WaterlooMcGill University Health CentreQueen's UniversityUniversity of TorontoUniversity Health NetworkUniversity of Ontario Institute of Technology
Fundersnot available
KeywordsMedicineCardiac resynchronization therapyHeart failureInternal medicineRandomized controlled trialMeta-analysisCause of deathEjection fractionOdds ratioCardiology

Abstract

fetched live from OpenAlex

BACKGROUND: Cardiac resynchronization therapy (CRT) is beneficial in patients who have heart failure with reduced ejection fraction or arrhythmic events. However, most randomized controlled trials (RCTs) showing survival benefits primarily enrolled older white men. This study aims to evaluate CRT efficacy by sex, race, and age in RCTs. METHODS: Five electronic databases (CINAHL, Embase, Emcare, Medline, and PubMed) were searched from inception to July 12, 2021 for RCTs with CRT in adult patients. Data were analyzed for clinical outcomes including all-cause or cardiovascular (CV) death, worsening heart failure (HF), and HF hospitalization (HFH) according to sex, race, and age. RESULTS: = 0.55) among ≥ 65 versus < 65 years. CONCLUSIONS: Whereas all-cause death was lower in female CRT patients, other reported outcomes did not significantly differ by sex, race, or age. Only 6 studies partially reported outcomes. Thus, enhanced reporting and analyses are required to overcome such paucity of data to evaluate the impact of these factors on clinical outcomes in distinct patient cohorts with CRT indication.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
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 score0.431
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0360.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.133
GPT teacher head0.394
Teacher spread0.261 · 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.

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".

Quick stats

Citations5
Published2021
Admission routes1
Has abstractyes

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