Defining Benchmark Outcomes for ALPPS
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to use the concept of benchmarking to establish robust and standardized outcome references after the procedure ALPPS (Associating Liver Partition and Portal Vein Ligation for Staged hepatectomy). BACKGROUND AND AIMS: The recently developed ALPPS procedure, aiming at removing primarily unresectable liver tumors, has been criticized for safety issues with high variations in the reported morbidity/mortality rates depending on patient, disease, technical characteristics, and center experience. No reference values for relevant outcome parameters are available. METHODS: Among 1036 patients registered in the international ALPPS registry, 120 (12%) were benchmark cases fulfilling 4 criteria: patients ≤67 years of age, with colorectal metastases, without simultaneous abdominal procedures, and centers having performed ≥30 cases. Benchmark values, defined as the 75th percentile of the median outcome parameters of the centers, were established for 10 clinically relevant domains. RESULTS: The benchmark values were completion of stage 2: ≥96%, postoperative liver failure (ISGLS-criteria) after stage 2: ≤5%, ICU stay after ALPPS stages 1 and 2: ≤1 and ≤2 days, respectively, interstage interval: ≤16 days, hospital stay after ALPPS stage 2: ≤10 days, rates of overall morbidity in combining both stage 1 and 2: ≤65% and for major complications (grade ≥3a): ≤38%, 90-day comprehensive complication index was ≤22, the 30-, 90-day, and 6-month mortality was ≤4%, ≤5%, and 6%, respectively, the overall 1-year, recurrence-free, liver-tumor-free, and extrahepatic disease-free survival was ≥86%, ≥50%, ≥57%, and ≥65%, respectively. CONCLUSIONS: This benchmark analysis sets key reference values for ALPPS, indicating similar outcome as other types of major hepatectomies. Benchmark cutoffs offer valid tools not only for comparisons with other procedures, but also to assess higher risk groups of patients or different indications than colorectal metastases.
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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 | 0.044 | 0.142 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".