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Record W2058515088

Transmesocolic Hernia Without a History of Digestive Surgery: Unknown Disease

2014· article· en· W2058515088 on OpenAlexvenueno aff
Radwan Kassir, Claire Boutet, Pierre Blanc, Olivier Tiffet

Bibliographic record

VenueJournal of Current Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicIntestinal and Peritoneal Adhesions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal herniaSurgeryHerniaAsymptomaticVomitingLaparotomyAbdominal painNauseaAbdominal distensionEpigastric painRadiologyGeneral surgery
DOInot available

Abstract

fetched live from OpenAlex

The incidence of internal hernia is less than 1%. Transmesocolic hernia (TH) is a rare type of internal hernia and it poses a real diagnostic challenge clinically. TH in patient without a history of operation hernia is an extremely rare phenomenon and is frequently none diagnosed. We report a case of TH in an adult patient without any preoperative history of digestive surgery. A 44-year-old woman was admitted to hospital for non-specific abdominal distension. The diagnosis of TH was suggested by computed tomography (CT). Entero-MRI confirmed the diagnostic. The symptoms were managed with conservative measures. The patient had no further pain during his follow-up and gave no recurrence. In the adult population, the cause of TH is previous gastrointestinal operation, intraperitoneal inflammation or trauma. Clinically, internal hernias can be asymptomatic, or can cause chronic dyspepsia, vague epigastric pain, intermittent colicky periumbilical pain, nausea and vomiting. There is extreme difficulty in making diagnosis of internal hernia preoperatively and the most important diagnostic method is abdominal CT and entero-MRI. This article illustrates the various types of internal hernias and imaging findings of TH. Even in cases with no previous laparotomy, it is important to consider the possibility of TH. We believe that conservative measures of TH are recommended in selected cases. J Curr Surg. 2014;4(2):55-57 doi: http://dx.doi.org/10.14740/jcs227w

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)0.001
metaresearch head score (Gemma)0.002
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 score0.485
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.062
GPT teacher head0.301
Teacher spread0.240 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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