Fatores preditivos de morbidade nas ressecções pancreáticas esquerdas
Bibliographic record
Abstract
OBJECTIVE: To evaluate the postoperative morbidity of distal pancreatic resections and to investigate its predictive factors. METHODS: The study was conducted retrospectively from a prospectively database maintained. From 1994 to 2008, 100 consecutive patients underwent left pancreatic resections. The primary variable of interest was postoperative morbidity, and various other characteristics of the population were simultaneously recorded. Later, for the analysis of predictors of postoperative morbidity, the subgroup of patients who underwent distal pancreatectomy with spleen preservation (n = 65) was separately analyzed with regards to the different techniques of section of the pancreatic parenchyma, as well as to other possible predictors of postoperative morbidity. RESULTS: Considering all left pancreatic resections performed, the occurrence of overall, relevant and serious complications was 55%, 42% and 20%, respectively. The factors predictive of postoperative morbidity after distal pancreatectomy with spleen preservation were the technique employed for section of the pancreatic parenchyma, age, body mass index and the performance of concomitant abdominal operations. CONCLUSION: The morbidity associated with pancreatic resections to the left of the superior mesenteric vessels was high. According to the stratification adopted based on the severity of complications, some predictive factors have been identified. Future studies with larger cohorts of patients are needed to confirm these results.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".