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Record W3198458174 · doi:10.2147/imcrj.s325390

A Strangulated Meckel’s Diverticulum in an Inguinal Hernia: A Case Report and Literature Review

2021· article· en· W3198458174 on OpenAlexaff
Garrett Johnson, J. Sinclair Holden, Ramzi M. Helewa, David Hochman, Eric Hyun

Bibliographic record

VenueInternational Medical Case Reports Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal disorders and treatments
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineMeckel's diverticulumGroinHerniaInguinal herniaSurgeryDiverticulum (mollusc)LaparotomyGeneral surgeryBowel obstructionHernia repair

Abstract

fetched live from OpenAlex

BACKGROUND: Meckel's diverticulum is an embryologic remnant of the vitelline duct, occurring in approximately 2% of the adult population. A hernia containing a Meckel's diverticulum is called a Littré's hernia and is rarely reported in the medical literature. Clinically, a Littré's hernia is indistinguishable from a hernia containing small bowel and is often discovered incidentally during a repair. CASE PRESENTATION: Herein, we report a rare case of strangulated Littré's hernia in a patient's right groin. The sac contained a long segment of small bowel in addition to a large Meckel's diverticulum. The bowel was irreducible through the groin incision, and a lower midline laparotomy was made. Necrotic bowel including the Meckel's diverticulum was resected. Given the presence of necrotic bowel and potential for infection, the hernia was repaired with a Bassini herniorrhaphy, reinforced with absorbable mesh. The patient recovered uneventfully. CONCLUSION: Littré's hernia is a rare clinical entity. Treatment is similar to any bowel-containing hernia. Repair of the hernia defect with permanent mesh should be weighed against the risk of implant infection.

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)0.001
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: none
Teacher disagreement score0.007
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.334
Teacher spread0.319 · 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

Citations11
Published2021
Admission routes1
Has abstractyes

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