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Record W2326058712 · doi:10.1097/mou.0000000000000048

5-Alpha reductase inhibitors in active surveillance

2014· review· en· W2326058712 on OpenAlexaff
Patrick O. Richard, Antonio Finelli

Bibliographic record

VenueCurrent Opinion in Urology · 2014
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineSecondary preventionDrugFood and drug administrationProstate cancerWatchful waitingClinical trialIntensive care medicineFamily medicineInternal medicineCancerEnvironmental healthPharmacology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Active surveillance is now one of the recommended treatment options for low-risk prostate cancer (PCa). However, about 10-30% of men on active surveillance will progress and require definitive therapy. In this review, we examine the role of 5-alpha reductase inhibitors (5-ARIs) in secondary prevention among men with low-risk PCa who opted to be managed by active surveillance. RECENT FINDINGS: Three retrospective studies and one randomized controlled trial have evaluated the role of 5-ARIs in preventing clinical progression among men followed by active surveillance. These studies largely support the role of 5-ARIs for secondary chemoprevention, although the drugs do not have an indication for this setting. SUMMARY: 5-ARIs have been shown to play an important role in preventing clinical progression among men with low-risk PCa on active surveillance. However, in light of the US Food and Drug Administration recommendation against 5-ARIs for primary chemoprevention, these findings should be interpreted with caution. Patients should be made aware of this warning label before starting the drug.

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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.082
GPT teacher head0.418
Teacher spread0.336 · 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
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

Citations5
Published2014
Admission routes1
Has abstractyes

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