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Record W1983089749 · doi:10.5489/cuaj.1947

Robotic intra-abdominal vasectomy reversal: A new approach to a difficult problem

2014· article· en· W1983089749 on OpenAlexvenueno aff
Yagil Barazani, Jihad H. Kaouk, Edmund S. Sabanegh

Bibliographic record

VenueCanadian Urological Association Journal · 2014
Typearticle
Languageen
FieldHealth Professions
TopicMale Reproductive Health Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVasovasostomyVasectomy reversalMedicineVasectomyVas deferensAnastomosisLaparoscopyObstructive azoospermiaSurgeryGeneral surgeryAzoospermiaPopulationFamily planningPregnancyResearch methodologyInternal medicineInfertility

Abstract

fetched live from OpenAlex

The management of obstructive azoospermia resulting from intra-abdominal vasal obstruction poses a formidable surgical challenge. A number of surgical methods have been described to address this problem, including both open and laparoscopic approaches to mobilize and sometimes even re-route the abdominal vas deferens prior to performing a re-anastamosis. We present the first report, to our knowledge, of robotic intra-abdominal vasectomy reversal used to repair obstructive azoospermia resulting from prior laparoscopic vasectomy. In doing so, we summarize the techniques described previously in the literature and build upon this body of surgical experience by combining robotic-assisted laparoscopic mobilization of the vas with robotic vasovasostomy. We believe this novel approach for repairing intra-abdominal vasal defects minimizes morbidity, while at the same time obviating the need for the operating microscope, and thus represents a practical alternative to existing techniques.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.002

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.

Opus teacher head0.049
GPT teacher head0.329
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2014
Admission routes1
Has abstractyes

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Same venueCanadian Urological Association JournalSame topicMale Reproductive Health StudiesFrench-language works237,207