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Diagnosis of a Strangulated Laparoscopic Incisional Hernia with Point-of-Care Ultrasonography

2015· article· en· W390328635 on OpenAlexaff
Niran Argintaru, Ahmed Al-Den, Jordan Chenkin

Bibliographic record

VenueWestern Journal of Emergency Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicIntestinal and Peritoneal Adhesions
Canadian institutionsSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineEmergency departmentNauseaBowel obstructionPort (circuit theory)General surgeryUltrasoundIncisional herniaUltrasonographySurgeryAbdominal painQuadrant (abdomen)LaparoscopyHerniaPoint of care ultrasoundRadiologyNursing

Abstract

fetched live from OpenAlex

The use of point-of-care ultrasound for the diagnosis of bowel obstructions and hernias is becoming increasingly common in the emergency department (ED). Using a relatively rare case of an incisional port hernia, we demonstrate the ultrasound findings of a strangulated hernia causing a partial small bowel obstruction. A 46-year-old female presented four days following a laparoscopic surgery complaining of abdominal pain, nausea and lack of bowel movements. There was a palpable mass in the left lower quadrant under the 12mm trocar port incision. ED point-of-care ultrasound revealed herniated akinetic loops of bowel through her laparoscopy incision. This is the first case report to describe the use of point-of-care ultrasound for the diagnosis of a strangulated incisional port hernia at the bedside.

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)0.005
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.059
GPT teacher head0.344
Teacher spread0.285 · 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

Citations9
Published2015
Admission routes1
Has abstractyes

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