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Record W4387611904 · doi:10.14740/jmc4112

Chronic Pancreatitis-Induced Thrombosis of Celiac and Superior Mesenteric Artery

2023· article· en· W4387611904 on OpenAlexvenueno aff
Harshavardhan Sanekommu, Sobaan Taj, Rida Noor, Muhammad Umair Akmal, Claudia Ramirez, Pranav Shah, Mohammad Hossain, Arif Asif

Bibliographic record

VenueJournal of Medical Cases · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePancreatitisSuperior mesenteric arteryAbdominal painCeliac arteryThrombosisAcute pancreatitisIschemiaVenous thrombosisStentInternal medicineGastroenterologySurgeryCardiologyRadiologyArtery

Abstract

fetched live from OpenAlex

Every year, nearly 60,000 hospitalizations occur in the United States due to chronic pancreatitis (CP). CP can cause severe chronic abdominal pain, pancreatic insufficiency, and increased risk of pancreatic cancer. While venous thrombotic complications are common, arterial thrombotic events are rarely reported in CP. This report describes a case of a 43-year-old female who presented with severe worsening abdominal pain due to CP. Diagnostic imaging disclosed thrombosis of superior mesenteric artery (SMA) and celiac artery (CA) with acute bowel wall changes reflecting ischemic changes, resulting in acute-on-chronic mesenteric ischemia. Endovascular stent placement relieved the ischemia with the resolution of pain. Arterial thrombosis should be considered as a diagnostic possibility when patients with CP present with a significant change in symptoms. Importantly, the case demonstrates that endovascular treatment with stent placement can relieve ischemia and resolve symptoms in patients with CP.

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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.043
GPT teacher head0.335
Teacher spread0.291 · 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
Published2023
Admission routes1
Has abstractyes

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