MétaCan
Menu
Back to cohort
Record W3196377474 · doi:10.1161/jaha.121.021686

Radiation‐Induced Cardiovascular Disease: Review of an Underrecognized Pathology

2021· review· en· W3196377474 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

VenueJournal of the American Heart Association · 2021
Typereview
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsMcGill University Health CentreMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineDiseaseCoronary artery diseaseCardiomyopathyPopulationPercutaneousRadiation therapyCardiotoxicityIntensive care medicineInternal medicineCardiologyHeart failureChemotherapy

Abstract

fetched live from OpenAlex

Radiation therapy demonstrates a clear survival benefit in the treatment of several malignancies. However, cancer survivors can develop a wide array of cardiotoxic complications related to radiation. This pathology is often underrecognized by clinicians and there is little known on how to manage this population. Radiation causes fibrosis of all components of the heart and significantly increases the risk of coronary artery disease, cardiomyopathy, valvulopathy, arrhythmias, and pericardial disease. Physicians should treat other cardiovascular risk factors aggressively in this population and guidelines suggest obtaining regular imaging once symptomatology is established. Patients with radiation-induced cardiovascular disease tend to do worse than their traditional counterparts for the same interventions. However, there is a trend toward fewer complications and lower mortality with catheter-based rather than surgical approaches, likely because radiation makes these patients poor surgical candidates. When appropriate, these patients should be referred for percutaneous management of valvulopathy and coronary disease.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.350
Teacher spread0.310 · 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