Does the MELD score predict mortality before and after liver transplantation in Alberta?
Bibliographic record
Abstract
The growing demand for liver transplantation (LT) has resulted in a need to reevaluate our organ allocation system in Canada (CanWAlT), to ensure that the sickest patients will receive the next available organs.The purpose of this research was to validate the ability of the MELD score (Model for End-stage Liver Disease) to predict LT waiting list mortality in a cohort of Canadian patients.The MELD score's ability to predict 3-month and I-year waiting list mortality was similar to the Child-Turcotte-Pugh (CTP) score and was significantly better than the CanWAlT status.The addition of hyponatremia did not improve the MELD.Despite increasing waiting time in recent years, MELD scores at time of LT are not increasing at the University of Alberta.MELD, CTP and CanWAlT status were all relatively poor predictors of survival following LT and MELD could not identify a point of futility for LT.Mechanical ventilation and renal function were more important predictors of survival following LT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".