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Quality of life comparison based on testosterone recovery after androgen deprivation therapy in patients cured from high-risk prostate cancer: Long term data from a phase III trial.

2023· article· en· W4388199885 on OpenAlexaff
Abdenour Nabid, Nathalie Carrier, André‐Guy Martin, Jean-Paul Bahary, Peter Vavassis, Sylvie Vass, Boris Bahoric, Robert Archambault, F. Vincent, Rédouane Bettahar, Luís Souhami

Bibliographic record

VenueJCO Oncology Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsCégep de RimouskiCentre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-QuébecCégep de l'OutaouaisCentre hospitalier universitaire de QuébecCentre de Santé et de Services Sociaux de ChicoutimiCentre Hospitalier de l’Université de MontréalHôpital Maisonneuve-RosemontMcGill University Health CentreCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsProstate cancerMedicineAndrogen deprivation therapyQuality of life (healthcare)Testosterone (patch)Radiation therapyUrologyInternal medicineRandomized controlled trialProstateAndrogenCancerHormone

Abstract

fetched live from OpenAlex

333 Background: Using data from a randomized Phase III trial and based on testosterone recovery after androgen suppression therapy (ADT), we compared quality of life (QOL) between patients (pts) considered cured of high-risk prostate cancer (HRPC). Methods: 630 pts with HRPC were randomised to pelvic and prostate radiotherapy plus either 36 or 18 months (m) of ADT (10-2000 / 01-2008). Serum testosterone (T) was measured at baseline then at each visit. Abnormal T was defined as below the normal level. We considered cured pts those with a PSA nadir < 2 ng/ml, QOL was assessed by the validated EORTC30 (30 items). Patient-reported outcomes were filled out before treatments, every 6 m during ADT, 4 m after ADT and then once a year for 5 years. The 30 items were regrouped into 9 scales. All items and scales scores were linearly transformed to a 0-100 points scale. We analysed all items and scales scores with general linear model and repeated measures to evaluate changes between pts who did versus those who did not recover normal levels of T over time. Effect of T recovery was adjusted in multivariable model including age, initial normal/abnormal T and ADT duration (18 or 36 m). P-value < 0.01 was considered statistically significant to account for multiple comparisons and a difference in mean scores of ≥ 10 points was considered clinically relevant. Results: We selected those pts considered cured to avoid subsequent T variations due to reintroduction of ADT for recurrence. We excluded 361 pts: not receiving exactly 18 or 36 m of ADT (63), survival < 1 year (15), no T measured at baseline or during follow-up (55), biochemical failure (105) or evidence of metastatic/recurrent disease (92), no QOL questionnaire (31). 269 pts were retained for the analysis. With a median follow-up of 14 years, 140/269 (52%) pts recovered T to a normal level: 94/166 (56.6%) in 18 m and 46/103 (44.7%) in 36 m ADT, p=0.056. Among pts regaining a normal T, the median time to recovery was 3 years (IQR: 2.5 to 3.6) for 18 m vs. 5 years (IQR: 4.5 to 6.0) for 36 m, p<0.001. The global adherence to QOL questionnaires was 83.9% (2649/3156) and it was higher for 36m than for 18 m [86.4% (1255/1452) vs. 81.8% (1394/1704) p<0.001]. When comparing EORTC30 between pts who recovered with those who did not recover T, pts with T recovery had a better QOL: 15/30 items and 6/9 scales were statistically significant principally scale and items related to physical, role, emotional, fatigue, pain, dyspnoea, insomnia, diarrhoea, and financial difficulties. 2 items were also clinically relevant, trouble to take a long walk and feeling tense. Conclusions: In pts cured from HRPC, T recovery is associated with a betterQOL. 18 m of ADT should be the preferred duration since a significantly faster and a higher proportion of pts recover a normal T level with the shorter schedule without detriment in long term outcomes, as previously reported.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.001
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 head0.140
GPT teacher head0.462
Teacher spread0.322 · 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.

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".

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Citations1
Published2023
Admission routes1
Has abstractyes

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