Partial ALPPS versus complete ALPPS for staged hepatectomy
Bibliographic record
Abstract
BACKGROUND: Associating liver partition and portal vein ligation for staged hepatectomy (ALPPS) can induce a stronger regenerative ability than traditional 2-stage hepatectomy (TSH). ALPPS has become popular for achieving fast hypertrophy in patients with an insufficient future liver remnant (FLR). However, ALPPS is associated with high morbidity and mortality. Partial ALPPS is a variation that may decrease the morbidity and mortality. The purpose of this study was to perform a meta-analysis comparing outcomes of ALLPS and partial ALLPS. METHODS: PubMed, Embase, and Cochrane Library databases were searched for studies comparing partial ALPPS and complete ALPPS up to April 2019. Included studies were assessed by the Newcastle-Ottawa Scale (NOS). Weighted mean difference (WMD)/standard mean difference (SMD) and odds ratios (OR) with 95% confidence intervals (CIs) were calculated to compare FLR, time interval between stages, postoperative complications, and mortality between partial and complete ALPPS. RESULTS: Four studies including 124 patients were included. FLR hypertrophy of partial ALPPS was comparable to complete ALPPS (p = 0.09). The time interval between stages was not different between the 2 procedures (p = 0.57). The postoperative complications rate of partial ALPPS was significantly lower than that of complete ALPPS (OR = 0.38; p = 0.03). The mortality rate of partial ALLPS (4.9%) was lower than that of complete ALLPS (18.9%), but the difference was not significant (OR = 0.37; p = 0.12). CONCLUSIONS: Partial ALLPS is associated with similar FLR hypertrophy and time interval between stages as complete ALLPS, and a lower complication rate. Further studies are needed to examine patient selection and outcomes of the 2 procedures.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| 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 | 0.001 |
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 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".