Microscopic evaluation of the vasal fluid for sperm at the time of vasectomy reversal: Do we really need to check?
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: During vasectomy reversal, intraoperative microscopic evaluation of the vasal fluid for sperm presence/quality can inform of the possibility of epididymal obstruction and need for a vasoepididymostomy (VE). In an effort to validate the utility of microscopic vasal fluid evaluation, the current initiative correlates gross vasal fluid characteristics with sperm presence and quality in a large series of VRs. METHODS: A total of 1267 vasectomy reversals yielded a total of 2522 vasal-units (right/left sides) for analysis. During vasectomy reversal, vasal fluid was sampled from the testicular-end vas and the fluid was characterized (thick-paste/opaque/translucent/clear). Each aspirate underwent microscopic evaluation for sperm quality and was categorized as: motile sperm/intact-non-motile sperm/sperm parts/no sperm. The predictive utility of the gross vasal fluid characteristics with respect to microscopic sperm presence and quality was analyzed. RESULTS: Among the 2522 vasal units analyzed, the side-to-side (left-right) concordance of vasal fluid quality and microscopic vasal sperm quality was 72% and 52%, respectively. When thick-pasty fluid was observed, no sperm were seen in the samples in 53% of cases, and if present, only non-motile sperm were observed. Even in the setting of more favorable vasal fluid characteristics (clear, translucent, and opaque fluid), no sperm were seen in 6-11% of cases, suggesting the possibility of epididymal obstruction and the need for VE. CONCLUSIONS: Intraoperative microscopic evaluation of the vasal fluid for sperm is a necessary practice during vasectomy reversal to optimize surgical outcomes. Reliance on gross vasal fluid characteristics in isolation may lead to unrecognized epididymal obstruction, and the need for a VE, in approximately 11% of cases.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it