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Record W2049049082 · doi:10.3810/hp.2014.04.1107

Bone Health Care for Patients With Prostate Cancer Receiving Androgen Deprivation Therapy

2014· review· en· W2049049082 on OpenAlexaff
Derek S. Tsang, Shabbir M.H. Alibhai

Bibliographic record

VenueHospital Practice · 2014
Typereview
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineAndrogen deprivation therapyOsteoporosisProstate cancerPhysical therapyPopulationOncologyInternal medicineRegimenHealth careCancerIntensive care medicine

Abstract

fetched live from OpenAlex

Patients with prostate cancer often receive androgen deprivation therapy (ADT) as part of their treatment regimen. However, treatment with ADT causes multiple side effects, including reduced bone mineral density (BMD), lower lean body mass, and a higher risk for fractures. Several organizations provide clinical practice guidelines for osteoporosis screening, prevention, and treatment in this population, but adherence to these guidelines remains low. Areas for improvement in provider adherence include baseline and follow-up BMD testing, as well as counseling regarding healthy bone behaviors such as calcium/vitamin D intake, lifestyle changes, and physical exercise. Comparison of osteoporosis care in breast cancer and non-oncology populations shows that suboptimal bone health care is not isolated to prostate cancer. A summary of the literature examining improvements in patient adherence and provider delivery of bone health care is included in this review, but high-quality studies are lacking. Patients may be the most receptive to written educational information delivered at or near the time of ADT initiation. Involvement of a primary care practitioner and oncologist in care delivery is associated with higher BMD test use. Institution-level programs that automatically initiate osteoporosis screening and management may be effective at reducing the incidence of hip fracture. Lastly, suggestions are provided for future approaches to knowledge translation and quality of care studies to improve bone health.

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 score0.981
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 head0.024
GPT teacher head0.377
Teacher spread0.352 · 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

Citations12
Published2014
Admission routes1
Has abstractyes

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