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Record W2791321951 · doi:10.1097/mop.0000000000000612

Evidence supporting laparoscopic hernia repair in children

2018· review· en· W2791321951 on OpenAlexaff
Samuel Jessula, Dafydd A. Davies

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2018
Typereview
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsMedicineCosmesisInguinal herniaPediatric surgeryLaparoscopyHerniaHernia repairSurgeryGeneral surgeryLaparoscopic surgeryPediatric Surgeon

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Pediatric inguinal hernias are a commonly performed surgical procedure. Currently, they can be approached via open or laparoscopic surgery. We summarize the current evidence for laparoscopic inguinal hernia repairs in children. RECENT FINDINGS: Laparoscopic and open inguinal hernia repair in children are associated with similar operative times for unilateral hernia, as well as similar cosmesis, complication rates and recurrence rates. Bilateral hernia repair has been shown to be faster through a laparoscopic approach. The laparoscopic approach is associated with decreased pain scores and earlier recovery, although only in the initial postoperative period. Laparoscopy allows for easy evaluation of the patency of contralateral processus vaginalis, although the clinical significance of and need for repair of an identified defect is unclear. SUMMARY: Laparoscopic surgery for pediatric inguinal hernias offers some advantages over open repair with most outcomes being equal. It should be considered a safe alternative to open repair to children and their caregivers.

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)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.140
GPT teacher head0.438
Teacher spread0.298 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations31
Published2018
Admission routes1
Has abstractyes

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