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Androgen deprivation therapy in prostate cancer: are rising concerns leading to falling use?

2011· article· en· W1506877195 on OpenAlexaffabout
Murray Krahn, Karen E. Bremner, George Tomlinson, Jin Luo, Paul Ritvo, Gary Naglie, Shabbir M.H. Alibhai

Bibliographic record

VenueBritish Journal of Urology · 2011
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsToronto Rehabilitation InstituteBaycrest HospitalCancer Care OntarioYork UniversityUniversity Health NetworkToronto General HospitalUniversity of TorontoInstitute for Clinical Evaluative SciencesToronto Public Health
Fundersnot available
KeywordsMedicineProstate cancerAndrogen deprivation therapyAntiandrogenPopulationInternal medicineBicalutamideOncologyProstatectomyFlutamideCancerAndrogen receptor

Abstract

fetched live from OpenAlex

Study Type – Therapy (cohort) Level of Evidence 2b What’s known on the subject? and What does the study add? Androgen deprivation therapy was originally used for metastatic prostate cancer but is now used to treat all stages of the disease. Once considered to be relatively harmless, androgen deprivation therapy was associated with impaired cognitive function, anemia, loss of muscle strength, osteoporotic fractures, diabetes, and cardiovascular disease by the year 2000. In a large, population‐based sample of prostate cancer patients, the numbers initiating androgen deprivation therapy increased from 1995 to 2001 and then sharply declined to 2005, but the rate of initiation among eligible prevalent cases steadily decreased over that period. Monotherapy with luteinizing hormone‐releasing hormone agonists became the dominant type of androgen deprivation therapy. Changes may be related to fewer cases of late stage disease, potential adverse effects, and new evidence for selected indications and regimens. OBJECTIVE • To describe patterns of initiation of androgen deprivation therapy (ADT) in a population‐based cohort of patients with prostate cancer. PATIENTS AND METHODS • All patients with prostate cancer in Ontario, Canada, who started ≥90 days of ADT at age ≥66 years in 1995–2005 were classified by ADT regimen: medical castration [oestrogen and/or luteinizing hormone‐releasing hormone (LHRH) agonist); orchidectomy; antiandrogen monotherapy; combined androgen blockade (CAB) medical (medical castration plus antiandrogen); CAB surgical (orchidectomy plus antiandrogen). • Indications for ADT were as follows: neoadjuvant (short‐term before prostatectomy or radiation therapy); adjuvant (long‐term with prostatectomy or radiation therapy); metastatic disease; biochemical recurrence; primary (localized disease); other. • We examined trends in ADT regimen and indication over time. RESULTS • The number of patients initiating ADT increased from 1995 to 2001 (2106–2916 per year) and declined thereafter to 2200–2300 annually (total n = 26 809). • However, prostate cancer prevalence doubled over these years, and the rate of ADT initiation decreased from 16 to 7 per 100 person‐years. • Patterns varied by regimen and indication. Medical castration increased from 12% of all ADT in 1995 to 47% in 2005; orchidectomy decreased from 17 to 4%. Use for metastatic disease remained stable, but adjuvant therapy increased from <3% of all ADT in 1995 to 13% in 2005. Primary therapy was the most common indication, but decreased over time. CONCLUSIONS • ADT initiation has fallen and marked changes occurred in treatment patterns for prostate cancer. • Changes might be driven by increasing awareness of potential harms and costs, and by new evidence supporting ADT for specific indications.

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)0.015
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.034
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.006
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.087
GPT teacher head0.340
Teacher spread0.254 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations35
Published2011
Admission routes2
Has abstractyes

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