Techniques – Tension-relieving microdot vasovasostomies and longitudinal intussuscepted vasoepididymostomy vasectomy reversals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Tension and malalignment of vasectomy reversal (VR) anastomoses are hypothesized to contribute to failure. We report VR outcomes using a novel technique introducing a tension-reliving hitch in the multilayer microdot vasovasostomy (VV) and longitudinal intussuscepted vasoepididymostomy (LIVE; VE). METHODS: All VR patients between May 2019 and September 2023 from a single surgeon were reviewed. Patients were included if they underwent a VR with at least one semen analysis within six months of surgery and a minimum of six months of followup after the surgery to deem a failure. The primary outcome was patency, which was defined as 1) any sperm in the ejaculate; and 2) functionally as at least two million motile sperm. Late failure was defined as an azoospermic semen analysis result after previously documented presence of sperm. RESULTS: A total of 159 patients were evaluated, of which 136 patients met the inclusion criteria. The patency rate among all VRs was 97.7 %, with an overall functional patency rate of 93.1%. One hundred and one patients underwent bilateral VVs, with a 99% patency rate and 95.5% functional patency rate. Twenty-three patients underwent a mixed VV/VE, with a patency rate of 100% and a functional patency rate of 88.8%. Finally, 12 patients underwent bilateral VE, with a patency rate of 83.3% and a functional patency rate of 77.7%. Among these patients, four VV patients were identified to have a late failure. CONCLUSIONS: The combination of tension-relieving stitches for VVs and VEs, along with attention to symmetrical and precise stitch placement, results in high patency rates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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