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Record W4393143747 · doi:10.1089/lap.2023.0425

Laparoscopic Sac Disconnection and Peritoneal Closure of Pediatric Inguinal Hernia

2024· article· en· W4393143747 on OpenAlexaff
Fouad Youssef, Anwar Abdul-hadi Martinez, Gilgamesh Eamer, Ahmed Nasr, Marcos Bettolli

Bibliographic record

VenueJournal of Laparoendoscopic & Advanced Surgical Techniques · 2024
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineHydroceleSurgeryHerniaInguinal herniaPerioperativeLaparoscopyRetrospective cohort studyTesticular atrophyGeneral surgery

Abstract

fetched live from OpenAlex

Background: Laparoscopic sac disconnection and peritoneal closure represents an alternative to open pediatric hernia repair. We performed a retrospective review of our data to evaluate this alternative method. Materials and Methods: With REB approval, a retrospective chart review of all patients who underwent laparoscopic indirect inguinal hernia repair between June 2013 and July 2016 was conducted. Primary outcome was the recurrence rate. Secondary outcomes included length of surgery, postoperative hydrocele, and perioperative complications. Data were extracted from EPIC Hyperspace onto a standardized data extraction form. Results: A total of 243 patients were included, of which 82% were males. Age ranged from 1 month to 17 years of age. A total of 322 defects were repaired. Eighty (32%) had contralateral patent processus vaginalis. Twelve (4%) patients presented with incarceration and three (1.2%) had a direct inguinal hernia defect. Recurrence rate was 0.6% ( n = 2). There were no intraoperative complications. Operative time was an average of 40 and 54 minutes for unilateral and bilateral repairs, respectively. No testicular ascents, testicular atrophy, vas deferens injury, postoperative hydroceles, and wound infections were reported. Conclusion: Laparoscopic sac disconnection and peritoneal closure of pediatric inguinal hernia is a safe, feasible method with one of the lowest reported recurrence rate among the other laparoscopic methods.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.310
Teacher spread0.299 · 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 designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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