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Record W2981049338

Polycythaemia Vera Presenting As A Porta Hepatis Mass.

2020· article· en· W2981049338 on OpenAlexaff
Shanila Ahmed, Omar Irfan, Sabeehuddin Siddique, Shahab Abid

Bibliographic record

VenuePubMed · 2020
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicinePolycythaemiaPortal vein thrombosisPolycythemia veraPorta hepatisSurgeryPancytopeniaThrombocytosisPhlebotomyThrombosisGastroenterologyInternal medicineBone marrowPlatelet
DOInot available

Abstract

fetched live from OpenAlex

Polycythaemia Vera (PV) is a myeloproliferative disorder in which bone marrow has increased production of red blood cells, white blood cells and platelets. The hallmarks of the disease are veno-occlusive events, secondary to increased blood viscosity. Polycythaemia Vera rarely presents with portal vein thrombosis below age of 55 years especially in absence of any chronic liver disease. We report a case of 30-years-old South Asian male presenting with abdominal pain, weight loss and vomiting for 3 months. On evaluation, he was found to have oesophageal varices. Furthermore, CT scan showed infiltration at porta-hepatis and portal venous thrombosis. Polycythaemia Vera was diagnosed with a positive JAK2 mutation and increased haemoglobin. Laparoscopy was done to perform biopsy of the porta-hepatis mass. Biopsy showed engorged vessels with no sign of malignancy. Patient underwent repeated sessions of upper GI endoscopy for band ligation and multiple sessions of venous phlebotomy which drastically improved his blood indices. He was started on lifelong aspirin and was advised regular follow-ups. With early recognition and prompt management patients can be prevented from potential complications which can prove to be detrimental.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
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 head0.038
GPT teacher head0.248
Teacher spread0.210 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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