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Record W2991296269 · doi:10.21037/tcr.2019.09.20

Hypofractionated radiotherapy for elderly breast cancer patients: from early stages disease to local palliation for unresectable disease

2020· review· en· W2991296269 on OpenAlexaff
Vimoj Nair, Jean Caudrelier

Bibliographic record

VenueTranslational Cancer Research · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of OttawaDalhousie UniversityOttawa Hospital
Fundersnot available
KeywordsMedicineRadiation therapyBreast cancerRegimenDiseaseOncologyCancerInternal medicine

Abstract

fetched live from OpenAlex

There is a lack of clear guidelines on optimal radiotherapy dose regimen for elderly breast cancer patients. This review summarizes the current evidence on role of hypofractionated radiotherapy in elderly breast cancer. Also, suggestions have been provided on the best fractionation approaches based on current evidence. Hypofractionated radiotherapy is feasible and well tolerated in elderly breast cancer patients with both early and locally advanced disease. Ultra-hypofractionated regimen seem appropriate for palliation of unresectable primary breast disease and could become a safe approach for adjuvant treatments. Hypofractionated radiotherapy should be considered for treatment of elderly breast cancer for curative intent, as well as for palliation.

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 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 score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.078
GPT teacher head0.433
Teacher spread0.356 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2020
Admission routes1
Has abstractyes

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