The clinical value of England,Canada and Japanese liver transplantation criteria to predict the prognosis of the patients with chronic severe hepatitis in China
Bibliographic record
Abstract
Objective To investigate the clinical value of King's College Hospital Criterion (KCH),Canadian Waitlisting Algorithm Criterion (CanWAIT) and Japanese Liver Transplantation Criterion (JLT) in predicting the prognosis of the patients with chronic severe hepatitis in China. Methods Fifty-five patients with chronic severe hepatitis were classified respectively by the three liver transplantation criteria.Those who were in line with the criterion were ascribed the matched criteria group (MCG),while those who were not in line with the criterion were ascribed the unmatched crite ria group (UCG).The end point of observation was the 90th day after their admission.The survival time and the mortality were compared between the MCG and UCG.The predictive ability for each cri- terion and their correlation with the clinical stages of chronic severe hepatitis were analyzed.Results Seventeen cases accorded with KCH and CanWAIT,while 38 cases did not accord with KCH and CanWAIT.The median survival time (MST) and their mortality in MCG group were 17.5 days and 100.0% respectively,while those in UCG group were 69.2 days and 34.2% respectively.Twenty- one cases accorded with JLT,while 34 cases did not accord with JLT.The MST and their mortality in MCG were 17.7 days and 95.2% respectively,while those in UCG group were 75.2 days and 29.4% repsectively.There were significant differences in MST and mortality between MCG group and UCG group with the 3 criteria (P0.01).The sensitivity,specificity,accuracy,positive predic- tive value and negative predictive value of KCH and CanWAIT were 56.7%,100.0%,76.4%, 100.0% and 65.7%,respectively,while those of JLT were 66.7%,96.0%,80.0% 95.2% and 70.6%,respectively.The value correlation coefficients of the three liver transplantation criteria were 0.371,0.395 and 0.490 respectively.Conclusion The criteria of KCH,CanWAIT and JLT es- timate the prognosis of Chinese patients with chronic severe hepatitis with lower sensitivity and higher specificity.Their survival predicting values of three criteria are lower in the patients unmatched with the criteria patients,but their death predicting values of three criteria are higher in the patients matched with the criteria.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".