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Record W2992727443 · doi:10.1002/anr3.12030

Laparoscopic hepatectomy in a patient with uncontrolled polycythaemia vera

2019· article· en· W2992727443 on OpenAlexaff
T. R. Riekki, Elizabeth Ling, Daniel Cordovani

Bibliographic record

VenueAnaesthesia Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPolycythaemiaMedicinePhlebotomyPolycythemia veraSurgeryThrombosisBlood transfusionBloodlettingInternal medicine

Abstract

fetched live from OpenAlex

Summary This case report describes the peri‐operative course of a patient with uncontrolled polycythaemia vera who underwent a laparoscopic hepatectomy for intrahepatic cholangiocarcinoma. Polycythaemia vera is a chronic condition that results in erythrocytosis and puts patients at risk of peri‐operative complications including thrombotic events and paradoxical haemorrhage. Little evidence exists on the ideal peri‐operative management of uncontrolled polycythaemia vera when the proposed procedure carries a high risk of haemorrhage. Our patient presented with a pre‐operative haemoglobin of 197 g.l −1 (haematocrit 65%) and was not phlebotomised pre‐operatively. Intra‐operatively he lost 2700 ml of blood, reducing his haematocrit to 48%, and then suffered fatal thrombotic complications postoperatively. The patient did not receive any blood product transfusions during his peri‐operative course. We review the available evidence to guide the peri‐operative management of patients with polycythaemia vera. The inherent risks of thrombosis and haemorrhage associated with polycythaemia vera need to be weighed against the specific surgical and transfusion‐related risks. Phlebotomy to achieve a pre‐operative haematocrit under 45% is recommended and intra‐operative phlebotomy shows promise for reducing blood loss during hepatectomies. Management of postoperative erythrocytosis may be an important and underappreciated aspect of reducing the peri‐operative risk of thrombosis in patients with polycythaemia vera.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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