MétaCan
Menu
Back to cohort
Record W2006397834 · doi:10.1089/lap.2011.0242

The Value of Laparoscopy in the Management of Abdominoscrotal Hydroceles

2012· article· en· W2006397834 on OpenAlexaff
Kathryn Martin, Sherif Emil, Jean-Martin Laberge

Bibliographic record

VenueJournal of Laparoendoscopic & Advanced Surgical Techniques · 2012
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsMcGill University Health CentreMontreal Children's Hospital
Fundersnot available
KeywordsMedicineHydroceleInguinal canalInguinal herniaSurgeryHerniaLaparoscopyScrotumHematomaHernia repairGeneral surgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Abdominoscrotal hydroceles (ASH) represent a difficult surgical problem in which a large scrotal hydrocele extends through the inguinal canal into the intraabdominal, extraperitoneal space, creating a widened internal ring that may be associated with an inguinal hernia. SUBJECTS AND METHODS: Patients with ASH were repaired using a combined laparoscopic-inguinal approach. Laparoscopic exploration was used to confirm the diagnosis, rule out associated hernia, assess for contralateral pathology, and confirm adequate peritoneal closure at the level of the internal ring, after a standard inguinal approach was used to repair the ASH. RESULTS: Eight patients are described with a median age of 13 months. One patient presented with bilateral ASH, and 5 patients had contralateral pathology, including simple hydrocele (n=3), undescended testicle (n=1), and inguinal hernia (n=2). Three patients were confirmed to have an ipsilateral inguinal hernia associated with their ASH. Postoperative complications included hematoma (n=2) and recurrent hydrocele (n=1). No patient developed ipsilateral or contralateral hernias following ASH repair (median follow-up, 3.2 years). CONCLUSIONS: Although laparoscopy is not essential, we have found it to be a useful adjunct to ensure accurate diagnosis and repair of abdominoscrotal hydroceles in children.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.317
Teacher spread0.306 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations16
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Laparoendoscopic & Advanced Surgical TechniquesSame topicTesticular diseases and treatmentsFrench-language works237,207