Obstructive Azoospermia: Is There a Place for Microsurgical Testicular Sperm Extraction?
Bibliographic record
Abstract
Obstructive azoospermia (OA) is a common presenting condition of male infertility, resulting from either congenital or acquired blockage of the reproductive tract. Men facing a diagnosis of OA now have an array of treatment options, including definitive reconstruction and various forms of sperm retrieval. The optimum treatment decision for OA will depend on the goals, values, and expectations of the patient and his partner. In this review we will discuss the therapeutic approach to OA, stressing the requirement of a clear and thoughtful plan for staged intervention. Any proposed treatment strategy should optimize the chances of paternity while minimizing damage to the male genitourinary system. Special attention will be paid to the role of microdissection testicular sperm extraction (microTESE), as it is a useful and often underutilized rescue procedure for OA. Specifically, the advantages and disadvantages of microTESE will be evaluated, with particular focus on success rates and safety.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.018 | 0.005 |
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".