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Record W4404367273 · doi:10.1016/j.prnil.2024.11.001

Concurrent antiandrogen therapy in the salvage radiotherapy setting for recurrent prostate cancer: a literature review

2024· review· en· W4404367273 on OpenAlexaff
Dhiraj Mannar, Ryan Urban, Tina Zhang, Michael Peacock

Bibliographic record

VenueProstate International · 2024
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineSalvage therapyProstate cancerRadiation therapyAntiandrogenRecurrent prostate cancerProstatectomyOncologyInternal medicineCancerChemotherapy

Abstract

fetched live from OpenAlex

Radical prostatectomy is widely used to treat localized prostate cancer; however, 20%-50% of patients will experience disease progression despite surgical management. Management of these patients involves salvage radiotherapy (SRT), which has variable efficacy ranging from cure to disease progression in roughly 50% of cases with aggressive prognostic factors. Based on the success in combining antiandrogen therapy (AAT) with definitive radiotherapy for prostate cancer, it has been suggested that the addition of AAT may benefit patients receiving SRT. Here we review the literature surrounding the rationale for AAT in this setting and synthesize the results of several key trials assessing the benefits of AAT within the SRT setting.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.061
GPT teacher head0.456
Teacher spread0.395 · 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 designSystematic review
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

Citations0
Published2024
Admission routes1
Has abstractyes

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