Acute liver failure caused by metastatic malignant melanoma of liver
Bibliographic record
Abstract
Abstract Introduction: Malignant melanoma of liver is an exceedingly rare cause of acute liver failure (ALF), whether primary or metastatic. Only few cases have been reported in the worldwide literature, and all the patients with ALF secondary to diffuse hepatic infiltration by melanoma subsequently died within days. Patient concerns: The patient was a 70-year-old man admitted to our hospital for abdominal distention and progressive jaundice for 15 days. Diagnoses: Ultrasonography and computed tomography findings indicated the presence of hepatomegaly with homogeneous normal echogenicity without focal lesions. Due to the history of alcohol consumption, acute liver failure (ALF) caused by alcoholic live disease was suspected. Interventions: After 4 time artificial liver treatment, the patient continued to deteriorate and deceased donor liver transplantation was performed after discussion with the next-of-kin. Outcomes: Postoperative pathology revealed clusters of malignant melanoma cells that had diffusely infiltrated the liver parenchyma. The patient was discharged on the eleventh day post-operation. Three months post-transplantation, he was readmitted because of elevated liver enzymes, and died of acute liver failure 9 days later. Conclusions: To our knowledge, this is the first report of liver transplantation for ALF due to diffuse hepatic melanoma. When the etiology of liver failure is unclear, diffuse metastatic tumor infiltration should be considered and early liver biopsy would be helpful in establishing the diagnosis and guiding treatment, particularly when liver transplantation is a treatment option as a metastatic malignancy is a contraindication for liver transplantation.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".