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Record W4286215589 · doi:10.1097/mou.0000000000001019

The role of prophylactic prostatectomy as a primary prevention strategy in high-risk germline mutation carriers

2022· review· en· W4286215589 on OpenAlexaff
Raj Tiwari, Roderick Clark, Neil Fleshner

Bibliographic record

VenueCurrent Opinion in Urology · 2022
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineProstate cancerProstatectomyProstate-specific antigenContext (archaeology)OncologyProstate cancer screeningDiseaseProstateInternal medicineGynecologyCancerIntensive care medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Men with high-risk germline mutations are at significantly higher risk of developing and dying from prostate cancer. Current screening and treatment paradigms may lead to missed opportunities for cure. Herein we review the current literature on prevention, screening and treatment of these carriers and explore the potential role of prophylactic prostatectomy in primary prevention of prostate cancer mortality. RECENT FINDINGS: Prostate-specific antigen (PSA)-based screening has demonstrated marginal benefits in prostate cancer (PCa) survival and uncertainty remains on its true benefit among high-risk carriers. Recent results indicate that PCa in BRCA 2 carriers occurs at a higher incidence, younger age and progresses more rapidly compared with noncarriers. An intensified screening protocol of MRI and PSA in young carriers demonstrated how using PSA values alone may be insufficient. Current evidence indicates that high-risk carriers have worse survival outcomes after undergoing radical treatment for screening detected disease when compared with noncarriers. SUMMARY: Prophylactic prostatectomy within the context of a clinical trial is a reasonable primary prevention option for discussion with high-risk carriers, especially BRCA2 carriers during the shared decision-making process. Limitations exist in the current strategies of early PSA screening followed by radical treatment in this group.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.044
GPT teacher head0.373
Teacher spread0.329 · 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 designOther design
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

Citations1
Published2022
Admission routes1
Has abstractyes

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