Efficacy and safety of everolimus with reduced tacrolimus in living-donor liver transplant recipients: 12-month results of a randomized multicenter study
Bibliographic record
Abstract
In a multicenter, open-label, study, 284 living-donor liver transplant patients were randomized at 30 ± 5 days posttransplant to start everolimus+reduced tacrolimus (EVR+rTAC) or continue standard tacrolimus (TAC Control). EVR+rTAC was non-inferior to TAC Control for the primary efficacy endpoint of treated BPAR, graft loss or death at 12 months posttransplant: difference –0.7% (90% CI –5.2%, 3.7%); P < .001 for non-inferiority. Treated BPAR occurred in 2.2% and 3.6% of patients, respectively. The key secondary endpoint, change in estimated glomerular filtration rate (eGFR) from randomization to month 12, achieved non-inferiority ( P < .001 for non-inferiority), but not superiority and was similar between groups overall (mean –8.0 vs. –12.1 mL/min/1.73 m 2 , P = .108), and in patients continuing randomized treatment (–8.0 vs. –13.3 mL/min/1.73 m 2 , P = .046). In the EVR+rTAC and TAC control groups, study drug was discontinued in 15.5% and 17.6% of patients, adverse events with suspected relation to study drug occurred in 57.0% and 40.4%, and proteinuria ≥1 g/24 h in 9.3% and 0%, respectively. Everolimus did not negatively affect liver regeneration. At 12 months, hepatocellular recurrence was only seen in the standard TAC-treated patients (5/62; 8.1%). In conclusion, early introduction of EVR+rTAC was non-inferior to standard tacrolimus in terms of efficacy and renal function at 12 months, with hepatocellular carcinoma recurrence only in TAC Control patients. ClinicalTrials.gov Identifier: NCT01888432.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".