Why Should Orchidopexy Be Performed in Congenital Hypogonadotropic Hypogonadism, and When?
Bibliographic record
Abstract
BACKGROUND: In otherwise normal boys with undescended testes, early orchidopexy is recommended to preserve fertility, to decrease the risk of testicular cancer, and to facilitate its detection. Indeed, compared to the general population, the risk of testicular cancer is increased two- to eight-fold in isolated cryptorchidism and usually occurs before the age of 40 years. By contrast, when cryptorchidism is associated with congenital hypogonadotropic hypogonadism, the risk of testicular cancer is unknown. OBJECTIVE: The aim of this study was to determine the characteristics of testicular cancer when cryptorchidism is associated with congenital hypogonadotropic hypogonadism. METHODS: We conducted a PubMed research without date limits including the following key words: hypogonadism, hypogonadotropic hypogonadism, testicular cancer, testicular germ cell tumors, undescended testis, Kallmann syndrome, FSH, AFP (α foeto protein), βHCG. RESULTS: Only 3 patients with testicular cancer and congenital hypogonadotropic hypogonadism have been published in the past 4 decades and two were diagnosed at 50 and 64 years. CONCLUSION: Gonadotropin deficiency may protect against testicular cancer, and orchidopexy in this context may be deferred.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".