Prostate cancer: finasteride extends PSA doubling time during intermittent hormone therapy.
Bibliographic record
Abstract
OBJECTIVES: Finasteride has been shown to prolong the time off-treatment in men with prostate cancer during intermittent androgen suppression therapy, but it is not clear whether this results from an increase in prostate-specific antigen (PSA) doubling time or a delay in PSA responsiveness to regained testicular function. In the following study, we distinguish between these two possibilities and consider how the effectiveness of finasteride might be altered if androgens are synthesized within the malignant cell rather than the testis. SUBJECTS AND METHODS: Six patients were followed on intermittent androgen suppression for intervals ranging from 7 to 10 years. The effects of finasteride on the length of the off-treatment period in at least one cycle in each patient were measured with monthly determinations of serum PSA and testosterone and calculation of PSA doubling time using linear regression analysis. RESULTS: Administration of finasteride was associated with a reduction in the rate of increase of serum PSA in the off-treatment period of any given cycle within a sequence of 5. In a total of 15 cycles, finasteride extended PSA doubling time from a mean of 7.7 weeks (n = 11, range 2.3-29.8 weeks) to a mean of 45.1 weeks (n = 6, range 13.8-99.7 weeks). One patient was characterized by an apparent pseudo-resistance to finasteride in the 2nd cycle of treatment and another patient by complete resistance to finasteride in the 4th cycle. CONCLUSIONS: Finasteride can be introduced into any cycle of intermittent androgen suppression with the expectation of an extension of PSA doubling time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".