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Record W4404364400 · doi:10.3389/fcvm.2024.1427544

CO-CREATION-HF protocol: clinical trial to evaluate the impact of a comprehensive and hybrid cardiac rehabilitation model on patients with heart failure

2024· article· en· W4404364400 on OpenAlexaff
Pamela Serón, Daniela Gómez-Pérez, Edgardo Opazo‐Díaz, María José Oliveros, María Francisca Contreras, Alejandra B. Salinas, Omar Andrade-Mayorga, Gabriel Nasri Marzuca-Nassr, Kathleen Saavedra, Sergio Muñoz, Fernando Laņas, Sherry L. Grace

Bibliographic record

VenueFrontiers in Cardiovascular Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsYork UniversityUniversity Health Network
Fundersnot available
KeywordsHeart failureMedicineRehabilitationProtocol (science)Clinical trialCardiologyInternal medicineIntensive care medicinePhysical therapyAlternative medicine

Abstract

fetched live from OpenAlex

Introduction Comprehensive, hybrid cardiac rehabilitation (CR) models have been scantly investigated in heart failure (HF) populations, particularly in low-resource settings. CO-CREATION-HF aims to evaluate the effectiveness of such a model compared to supervised exercise alone. Methods and analysis A 2 parallel-arm, multi-center randomized clinical superiority trial will be conducted with blinded outcome assessment. 152 HF patients (NYHA class II or III) will be recruited consecutively, and randomly assigned using permuted blocks; allocation will be concealed. The 12-week intervention will include evaluation, medical and nurse management, aerobic interval training, resistance exercise training, psychosocial support, and education. These will initially be delivered in a center, transitioning to home in 4 stages. Controls will receive similar management, but face-to-face continuous aerobic exercise sessions and resistance exercises. The main outcomes are cardiorespiratory fitness (VO2 max), functional capacity (m from 6 MWT), and quality of life (Minnesota Living with Heart Failure Questionnaire). Program adherence and completion, NT-proBNP, functioning, all-cause and HF-specific mortality and hospitalization, muscle strength, adverse events and cost will be secondary outcomes. These will be measured at baseline, end of intervention, and 12-month follow-up. The sample size was calculated considering 90% power, a significance level of 5%, a between-group difference equivalent to 1/2 MET, and a 10% potential loss to follow-up. Intention-to-treat analysis will be considered. Between-group differences will be assessed using Student's t-tests or Z-tests along with 95% confidence intervals, and the rate ratio will be computed to compare mortality. Ethics and dissemination The study protocol and the Informed Consent form were approved by Ethical Committees at the Universidad de La Frontera (No. 081-23) and each center participating. Research findings will be disseminated to the scientific community and will be shared with relevant stakeholder groups and policy-makers. Finally, investigators shall reach HF patients via various dissemination channels such as social media. Clinical Trial Registration clinicaltrials.gov , identifier (NCT06313684).

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)0.007
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.032
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0320.005

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 head0.020
GPT teacher head0.372
Teacher spread0.353 · 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 designRandomized trial
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

Citations0
Published2024
Admission routes1
Has abstractyes

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