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Record W2013939406 · doi:10.1080/00926230903554552

The Unique Needs of Couples Experiencing Androgen Deprivation Therapy for Prostate Cancer

2010· review· en· W2013939406 on OpenAlexaff
Lauren M. Walker, John W. Robinson

Bibliographic record

VenueJournal of Sex & Marital Therapy · 2010
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsProstate cancerAndrogen deprivation therapyPsychotherapistPsychologyAndrogenProstateCancerMedicineOncologyInternal medicineHormone

Abstract

fetched live from OpenAlex

Androgen deprivation therapy (ADT) is being increasingly used to treat men with prostate cancer. ADT has been associated with many side effects that may persist for the lifetime of the patient and can have potentially devastating effects on the quality of life of both men and their intimate relationships. Despite U.S. estimates that more than 40,000 men begin ADT each year and live on average for 10 years, there have been few studies examining the effect of ADT on couples. This article reviews the emerging literature on the challenges faced by men and their partners while undergoing ADT. Loss of libido, erectile dysfunction, genital shrinkage, low self-esteem, and diminished masculinity are commonly associated with undergoing ADT. These losses frequently lead to changes in the marital relationship in areas such as roles and responsibilities, communication, and intimacy. Intervention strategies for helping couples maintain a strong relational bond need to be selected carefully for this population because of these unique and profound changes. Couples who succeed in maintaining sexuality and intimacy have been shown to have higher quality of life and more satisfying relationships.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.068
GPT teacher head0.402
Teacher spread0.334 · 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

Citations47
Published2010
Admission routes1
Has abstractyes

Explore more

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