An updated mortality risk analysis of the post-pubertal undescended testis
Bibliographic record
Abstract
INTRODUCTION: The undescended testicle (UDT) presents a problem in post-pubertal (PP) men, as it carries an increased risk of developing a germ cell tumour (GCT). Management of the PP patient with an UDT must weigh the relative risk (RR) of perioperative mortality (POM) from orchiectomy against the lifetime risk of death from a GCT. METHODS: The most recent data on GCT mortality were obtained from the National Centre for Health Statistics. Standard life tables were used to calculate the cumulative risk over a man's lifetime based on age. The increased RR of GCT in men with UDT was determined by weighing the observed and expected rates from literature review. Life table data was then multiplied by the RR to define the risk of GCT in men with UDT. Data from patients undergoing similar risk surgical procedures stratified by American Society of Anesthesiologists (ASA) class was used to determine POM. RESULTS: Lifetime risk of dying from GCT decreases with increasing age. POM exceeded risks of death from GCT for men after age 50.2 for ASA class 1 and age 35.4 for ASA class 2. Men with an ASA class higher than 2 have a higher risk of POM compared to GCT for all ages. CONCLUSIONS: We found different ages from previous reports at which observation is advised. We consider prophylactic orchiectomy only in men who are under 50.2 years if ASA class 1 and under 35.4 years if ASA class 2. Men with an ASA class 3 or higher should always undergo observation.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".