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Record W2620264080 · doi:10.1200/edbk_175668

Breast Cancer After Childhood, Adolescent, and Young Adult Cancer: It’s Not Just About Chest Radiation

2017· article· en· W2620264080 on OpenAlexaff
David Hodgson, Flora E. van Leeuwen, Andrea K. Ng, Lindsay M. Morton, Tara O. Henderson

Bibliographic record

VenueAmerican Society of Clinical Oncology Educational Book · 2017
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsMedicineBreast cancerCancerYoung adultChildhood cancerRadiation therapyOncologyPediatricsEpidemiology of cancerGenetic predispositionInternal medicineDisease

Abstract

fetched live from OpenAlex

Women who have been treated for a childhood, adolescent, or young adult cancer are at an increased risk for developing breast cancer at a young age, and breast cancer accounts for the most common subsequent malignant neoplasm among female childhood and adolescent cancer survivors. Risk of breast cancer in these survivors appears to be a multifaceted relationship between constitutional factors, exposures to radiation therapy (RT) and chemotherapy, and genetic predisposition. Given the significant morbidities and mortality associated with a breast cancer diagnosis, it is imperative that health care providers understand the risks, biology and genetics, recommended surveillance guidelines for early detection, and potential prevention strategies for women who have survived pediatric and young adult cancer.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.057
GPT teacher head0.451
Teacher spread0.394 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations32
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Society of Clinical Oncology Educational BookSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207