Prevalence of secondary erythrocytosis in men receiving testosterone therapy
Bibliographic record
Abstract
INTRODUCTION: Increased hematocrit (HCT) is a common adverse effect in men on testosterone therapy (TTh). We aimed to uncover differences in HCT changes among men receiving different forms of TTh. METHODS: We conducted a single-center, retrospective, matched-cohort study of patients treated for testosterone deficiency (TD) to investigate the effect of three TTh regimens on HCT. We included men who received intranasal testosterone (NT), intramuscular testosterone (TC), or subcutaneous testosterone pellet (TP) regimens between January 2011 and December 2020. We matched treatment cohorts 1:1:1 for age, body mass index (BMI), and history of obstructive sleep apnea (OSA). Those taking TTh for <16 weeks were excluded. Comparison between groups was performed with Mann-Whitney U test, Student's t-test, ANOVA, or Kruskal-Wallis test as appropriate. RESULTS: Seventy-eight matched-cohort individuals with TD received either NT, TC, or TP. The most common TD symptoms prior to initiation of TTh were erectile dysfunction (38%), low libido (22%), and lack of energy (17%). Baseline serum testosterone and HCT were higher in NT recipients (p<0.05). As expected, all men receiving TTh were found to have increased serum testosterone levels at followup (p<0.001). Relative to their respective baselines, men receiving TC experienced the greatest increase in serum testosterone (240.8 ng/dL to 585.5 ng/dL), followed by NT (230.3 ng/dL to 493.5 ng/dL) and TP (210.8 ng/dL to 360.5 ng/dL) (all p<0.001). TC and TP were associated with significant increases in HCT (4.4% and 1.7%) while NT was associated with a decrease in HCT (-0.8%) at 16-week followup. CONCLUSIONS: When controlled for age, BMI, and OSA, men receiving NT experienced decreased HCT compared to TC or TP at 16-week followup. Intranasal testosterone, while able to increase serum testosterone levels to reference range, does not appear to have a significant impact on HCT compared to the longer-acting forms of TTh.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".