Factors affecting liver regeneration after right portal vein embolization.
Bibliographic record
Abstract
BACKGROUND/AIMS: The factors influencing the effect of portal vein embolization performed prior to hepatectomies are not clearly understood. METHODOLOGY: In 18 patients who underwent portal vein embolization, serum transforming growth factor-alpha levels and the nonembolized liver volume were studied after portal vein embolization. The increase in the nonembolized liver volume was compared with the change in serum transforming growth factor-alpha levels and several other clinical variables. RESULTS: The volume of the nonembolized liver significantly increased from 430+/-114 cm3 to 521+/-113 cm3. The serum transforming growth factor-alpha levels significantly increased on the 7th day after portal vein embolization and peaked on the 18th day. The percentage increase in the nonembolized liver volume 14 days after portal vein embolization was significantly correlated with the nonembolized liver volume and the increase in the portal flow velocity, and it was independently and significantly correlated with the increase in the transforming growth factor-alpha level 14 days after portal vein embolization (r2=0.674, P=0.0014 and r=0.761, P<0.0005). CONCLUSIONS: The increase in the transforming growth factor-alpha level 14 days after portal vein embolization was the only independent factor related to the hypertrophy of the nonembolized liver. Measurement of its serum level may be a useful indicator in the scheduling of subsequent extensive hepatectomies.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".