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Record W4414650450 · doi:10.4103/ijawhs.ijawhs_1_25

Laparoscopic pre-peritoneal mesh approach in Spigelian herniorrhaphy. A case report

2025· article· en· W4414650450 on OpenAlexaff
Jake Reaser, Yagan Pillay

Bibliographic record

VenueInternational journal of abdominal wall and hernia surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSpigelian herniaHerniaLaparoscopyAbdominal wallSurgical meshVentral herniaLaparoscopic surgery

Abstract

fetched live from OpenAlex

Abstract We present a unique case of a Spigelian hernia and its laparoscopic pre-peritoneal mesh herniorrhaphy. A Spigelian hernia is the only known interparietal hernia of the abdominal wall and its clinical diagnosis and management remain elusive. Various attempts at surgical repair have included open, laparoscopic and robotic techniques. The mesh placement has varied between an on lay, underlay, or pre-peritoneal fixation. Current hernia guidelines remain nebulous as to the correct technique and mesh placement. Our case remains unique because the peritoneum was quite emaciated and could not be used for a proper mesh reperitonealization. We, therefore, used the hernia sac to cover our non-absorbable nylon mesh. We believe this adds to the rarity of this case report. The patient`s recovery was uneventful. She has no hernia recurrence at six months post-surgical herniorrhaphy. A surgical follow-up of at least five years is required to determine the feasibility of our technique.

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)0.000
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.302
Teacher spread0.288 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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