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Record W2121216298 · doi:10.3747/co.v17i0.723

Bone Health in Nonmetastatic Prostate Cancer: What’s the Big Deal?

2010· article· en· W2121216298 on OpenAlexaffvenue
Jean‐Baptiste Lattouf, Fred Saad

Bibliographic record

VenueCurrent Oncology · 2010
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersSanofiAmgen
KeywordsMedicineProstate cancerAndrogen deprivation therapyDiseaseBone healthPopulationCancerBone metastasisProstateOncologyInternal medicineOsteoporosisBone mineral

Abstract

fetched live from OpenAlex

Since 2000, the medical community has become increasingly aware of bone health in men with prostate cancer on androgen deprivation therapy (ADT)-mainly because of new therapies that have been shown to reduce bone loss and associated fractures in this patient population. The threat of bone complications has become even more concerning in the prostate-specific antigen era, because ADT is initiated earlier (with biochemical recurrence after local treatment) and maintained longer before the appearance of metastatic disease. The present review examines the relevance of bone health in nonmetastatic prostate cancer, with a discussion of the new treatment modalities available.

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)0.003
metaresearch head score (Gemma)0.005
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: Commentary · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.104
GPT teacher head0.448
Teacher spread0.345 · 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

Citations2
Published2010
Admission routes2
Has abstractyes

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