Short-term Outcomes After Spleen-preserving Minimally Invasive Distal Pancreatectomy With or Without Preservation of Splenic Vessels
Bibliographic record
Abstract
OBJECTIVE: To compare short-term clinical outcomes after Kimura and Warshaw MIDP. BACKGROUND: Spleen preservation during distal pancreatectomy can be achieved by either preservation (Kimura) or resection (Warshaw) of the splenic vessels. Multicenter studies reporting outcomes of Kimura and Warshaw spleen-preserving MIDP are scarce. METHODS: Multicenter retrospective study including consecutive MIDP procedures intended to be spleen-preserving from 29 high-volume centers (≥15 distal pancreatectomies annually) in 8 European countries. Primary outcomes were secondary splenectomy for ischemia and major (Clavien-Dindo grade ≥III) complications. Sensitivity analysis assessed the impact of excluding ("rescue") Warshaw procedures which were performed in centers that typically (>75%) performed Kimura MIDP. RESULTS: Overall, 1095 patients after MIDP were included with successful splenic preservation in 878 patients (80%), including 634 Kimura and 244 Warshaw procedures. Rates of clinically relevant splenic ischemia (0.6% vs 1.6%, P = 0.127) and major complications (11.5% vs 14.4%, P = 0.308) did not differ significantly between Kimura and Warshaw MIDP, respectively. Mortality rates were higher after Warshaw MIDP (0.0% vs 1.2%, P = 0.023), and decreased in the sensitivity analysis (0.0% vs 0.6%, P = 0.052). Kimura MIDP was associated with longer operative time (202 vs 184 minutes, P = 0.033) and less blood loss (100 vs 150 mL, P < 0.001) as compared to Warshaw MIDP. Unplanned splenectomy was associated with a higher conversion rate (20.7% vs 5.0%, P < 0.001). CONCLUSIONS: Kimura and Warshaw spleen-preserving MIDP provide equivalent short-term outcomes with low rates of secondary splenectomy and postoperative morbidity. Further analyses of long-term outcomes are needed.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".