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Record W1504283408 · doi:10.1186/1471-2407-5-67

Acute hepatic failure and multi-system organ failure secondary to replacement of the liver with metastatic melanoma

2005· article· en· W1504283408 on OpenAlexaff
Gilaad G. Kaplan, Shaun Medlicott, Bruce F. Culleton, Kevin B. Laupland

Bibliographic record

VenueBMC Cancer · 2005
Typearticle
Languageen
FieldMedicine
TopicMethemoglobinemia and Tumor Lysis Syndrome
Canadian institutionsAlberta Health ServicesCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsMedicineFulminant hepatic failureHyperkalemiaMelanomaRespiratory failureMetabolic acidosisInternal medicineLiver transplantationTransplantation

Abstract

fetched live from OpenAlex

BACKGROUND: Metastatic malignant melanoma to the liver resulting in fulminant hepatic failure is a rare occurrence. CASE PRESENTATION: A 46 year old man presented to hospital with massive hepatomegaly, elevated liver enzymes and increased lactate three weeks following resection of a malignant melanoma from his shoulder (Clark level 5). Initially stable, he decompensated 24 to 48 hours subsequent to presentation with respiratory failure requiring mechanical ventilation, distributive shock requiring high dose vasopressor infusion, coagulopathy refractory to plasma infusion, progressive rise in liver enzymes and severe metabolic abnormalities including hyperkalemia, acidosis, hyperphosphatemia, hyperuricemia and hypocalcemia. Refractory to aggressive physiologic support he received palliation. Autopsy revealed >80% liver infiltration by metastatic malignant melanoma. CONCLUSION: We report a case of fulminant hepatic failure secondary to metastatic malignant melanoma infiltration of the liver.

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)0.002
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.260
Teacher spread0.245 · 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

Citations22
Published2005
Admission routes1
Has abstractyes

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