ENHANCED RECOVERY (ERAS) AFTER LIVER SURGERY:COMPARATIVE STUDY IN A BRAZILIAN TERCIARY CENTER
Bibliographic record
Abstract
BACKGROUND: After the publication of the first recommendations of ERAS Society regarding colonic surgery, the proposal of surgical stress reduction, maintenance of physiological functions and optimized recovery was expanded to other surgical specialties, with minimal variations. AIM: To analyze the implementation of ERAS protocols for liver surgery in a tertiary center. METHODS: Fifty patients that underwent elective hepatic surgery were retrospectively evaluated, using medical records data, from June 2014 to August 2016. After September 2016, 35 patients were prospectively evaluated and managed in accordance with ERAS protocol. RESULTS: There was no difference in age, type of hepatectomy, laparoscopic surgery and postoperative complications between the groups. In ERAS group, it was observed a reduction in preoperative fasting and in the length of hospital stay by two days (p< 0.001). Carbohydrate loading, j-shaped incision, early oral feeding, postoperative prevention of nausea and vomiting and early mobilization were also significantly related to ERAS group. Oral bowel preparation, pre-anesthetic medication, sub-costal incision, prophylactic nasogastric intubation and abdominal drainage were more common in control group. CONCLUSION: Implementation of ERAS protocol is feasible and beneficial for health institutions and patients, without increasing morbidity and mortality.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".