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Record W7133033185

Factors Associated with End of Treatment Quality of Life, Cardiac Function and Cardiorespiratory Fitness and the Effect of Exercise in Women with Breast Cancer

2022· dissertation· W7133033185 on OpenAlexaff
Serena Stephanie Peck

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCardiorespiratory fitnessBreast cancerQuality of life (healthcare)Cardiac function curveDiseaseRehabilitationRisk factorPhysical fitness
DOInot available

Abstract

fetched live from OpenAlex

Women with human epidermal growth factor receptor-2 positive (HER2+) breast cancer are at increased risk of cardiovascular disease (CVD), CVD mortality, reductions in cardiorespiratory fitness and quality of life due to pre-existing CVD risk factors, cardiotoxic cancer therapies and lifestyle habits. Risk factors associated with lower cardiac function and cardiorespiratory fitness at end of treatment and strategies to mitigate this decline remain unclear. The goals of this thesis were to explore (1) pre-treatment and during treatment clinical and imaging factors that are associated with end of treatment cardiac function and cardiorespiratory fitness; (2) the effects of physical activity on cardiovascular outcomes, and quality of life during and at the end of treatment and cardiorespiratory fitness at end of treatment and; (3) the quality of evidence for cardiac rehabilitation in cancer survivors to improve cardiovascular outcomes.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.302
Teacher spread0.285 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2022
Admission routes1
Has abstractyes

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