302 Safety of Testosterone Therapy in Octogenarians: An Increasingly Important Demographic in 2017
Bibliographic record
Abstract
We here present the first observational data of testosterone therapy (TTh) in a group of men exclusively 80 years of age and older. This demographic has been traditionally understudied due to concerns that this group of men are at higher risk of prostate cancer (PCa) and cardiovascular events. There is an increasing number of men entering their 80's in good health. As demonstrated in recent literature, aside from the amelioration of the classic symptoms of testosterone deficiency (TD), TTh may offer benefits of unique importance to the elderly including improvements in anemia, bone density and strength. A retrospective electronic chart review was performed on all patients age 80 and older treated with TTh between Jan 1 2015 to November 1 2016 at two men's health practices. Patients with incomplete medical records or who were lost to follow-up were excluded. All patients demonstrated low serum T levels demonstrated on at two occasions and symptoms of TD. At baseline and at followup patients were assessed with a physical exam, standardized labs and structured interviews covering sexual function, psychological well-being, and physical function.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".