MétaCan
Menu
Back to cohort
Record W4406655232 · doi:10.1016/j.jaccao.2024.06.006

Cardiovascular Considerations After Cancer Therapy

2025· review· en· W4406655232 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJACC CardioOncology · 2025
Typereview
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsTed Rogers Centre for Heart Research
Fundersnot available
KeywordsCancerMedicineCancer therapyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Cancer survivors, particularly those treated with anthracyclines and chest radiation, face an elevated risk of cancer therapy-related cardiovascular toxicity. These complications affect not only physical health, but also life expectancy. Risk factors for cancer therapy-related cardiovascular toxicity include age at which cancer treatment was received, the use of (potentially) cardiotoxic cancer therapies, and the presence of concomitant cardiovascular risk factors. Current guidelines provide recommendations for cardiovascular surveillance after cancer therapy, including type and frequency. All cancer survivors are advised to undergo annual clinical screenings and optimization of cardiovascular risk factors. Those at higher risk should undergo additional cardiovascular testing. This document aims to summarize the available evidence, present practical recommendations, and outline existent gaps in the current literature regarding cardiovascular care after cancer therapies.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.376
Teacher spread0.311 · 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