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Record W4214549674 · doi:10.1016/j.adro.2022.100927

Multimodality Imaging Assessment of the Heart Before and After Stage III Non-small Cell Lung Cancer Radiation Therapy

2022· article· en· W4214549674 on OpenAlexafffund
Oi Wai Chau, Ali Islam, Edward Yu, Melody Qu, John Butler, Heather Biernaski, A. Sun, Jean‐Pierre Bissonnette, Anna MacDonald, Chantelle Graf, Aaron So, Gerald Wisenberg, Ting-Yim Lee, Frank S. Prato, Stewart Gaede

Bibliographic record

VenueAdvances in Radiation Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsRobarts Clinical TrialsPrincess Margaret Cancer CentreLawson Health Research InstituteLondon Health Sciences CentreCancer Care OntarioWestern University
FundersCanadian Institutes of Health Research
KeywordsMedicineStage (stratigraphy)Radiation therapyInternal medicineLung cancerOncologyCancerLungInflammationDiseaseRadiologyCardiologyPathology

Abstract

fetched live from OpenAlex

Radiation may induce unintentional injury of myocardial tissue during and after treatment of non-small cell lung cancer (NSCLC) due to the close proximity of the heart to the target. The Radiation Therapy Oncology Group 0617 clinical trial showed a reduction in median overall survival (OS) for higher radiation doses compared with standard doses in the treatment of NSCLC, with V5GyHeart being an OS predictor in the first year and median long-term follow-up at the fifth year.1 Radiation therapy (RT)-related cardiac damage may occur through acute inflammation in both the myocardium and microvasculature and may not be diagnosed until a late stage of the 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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.041
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.349
Teacher spread0.343 · 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.

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 routes2
Has abstractyes

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