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Record W2611116211 · doi:10.14740/jcs322e

Erectile Dysfunction Secondary to Pudendal Nerve Injury Complicating Orthopedic Surgery: Practical Recommandations

2017· article· en· W2611116211 on OpenAlexvenueno aff
Sahbi Naouar, Salem Braiek, Rafik El Kamel

Bibliographic record

VenueJournal of Current Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineErectile dysfunctionOrthopedic surgerySurgeryPudendal nerve

Abstract

fetched live from OpenAlex

Erectile dysfunction (ED) resulting from direct damage of pudendal nerve injury during orthopedic surgery is common and closely associated to the use of traction tables. Prolonged countertraction on the fracture table and the inappropriate placement of the perineal post are the two main contributing factors. Clinical signs are essentially sensitive, such as hypoesthesia of the perineum. Urinary incontinence, ED and hypoesthesia or complete anesthesia of scrotum and glans penis are the main clinical manifestations. Electrophysiological examinations should be considered when symptoms are not regressive and in cases of vesico-sphincter dysfunction and immediate severe ED. No medical treatment has demonstrated its effectiveness. Pudendal nerve decompression was reported to be useful in some cases. Preventive measures should be considered by surgeons to avoid perineal traction injuries. Patients must be clearly informed about this possible neurological complication before an operation on the orthopedic table. J Curr Surg. 2017;7(1-2):1-3 doi: https://doi.org/10.14740/jcs322e

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0050.002

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 head0.136
GPT teacher head0.423
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations2
Published2017
Admission routes1
Has abstractyes

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