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Record W3135428692 · doi:10.14740/jmc3672

Subcapsular Hepatic Hematoma Post-Endoscopic Retrograde Cholangiopancreatography Requiring Surgical Necrosectomy

2021· article· en· W3135428692 on OpenAlexvenueno aff
Ryan Petrucci, Amitabha Das

Bibliographic record

VenueJournal of Medical Cases · 2021
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndoscopic retrograde cholangiopancreatographyPancreatitisSurgeryComplicationCommon bile ductHematomaPerforationCholecystectomyRadiologyGeneral surgery

Abstract

fetched live from OpenAlex

Cholelithiasis is a common gastrointestinal pathology with a prevalence of over 6% in the USA. Symptomatic patients can develop cholangitis, biliary colic, pancreatitis and cholecystitis. Surgical management involves laparoscopic or open cholecystectomy. Stones within the common bile duct can be treated with endoscopic retrograde cholangiopancreatography (ERCP). Well-known ERCP complications include pancreatitis, perforation, bleeding and cholangitis. Hepatic hematomas as a complication of ERCP are extremely rare, with fewer than 50 reported cases in the literature. Approximately 22% have required operative management. We present an extremely rare case of ERCP-associated subcapsular hepatic hematoma in a 43-year-old lady that was initially non-operatively managed. She did not improve with antibiotics alone and underwent attempted interventional radiology drainage. Despite this, due to on-going sepsis, the patient underwent laparoscopic necrosectomy and drain placement with continued post-operative irrigation. After a long course of antibiotics and drain irrigation, the patient was discharged with repeated computed tomography imaging showing almost total resolution of the infected collection. This case highlights the extreme rarity of surgical management for post-ERCP subcapsular hepatic hematoma and its successful outcome.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.302
Teacher spread0.284 · 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.

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

Citations8
Published2021
Admission routes1
Has abstractyes

Explore more

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