The Role of Preoperative Parenteral Nutrition
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Malnutrition is associated with poor surgical outcomes, and therefore optimizing nutritional status preoperatively is very important. The purpose of this paper is to review the literature related to preoperative parenteral nutrition (PN) and to provide current evidence based guidance. A systemic online search of PubMed, Medline, and Cochrane Databases from January 1990 to February 2020 was done. Sixteen studies were included in this narrative review, including four meta-analyses and twelve clinical trials. The majority of studies have demonstrated benefits of preoperative PN on postoperative outcomes, including reduced postoperative complications (8/10 studies) and postoperative length of stay (3/4 studies). Preoperative PN is indicated in malnourished surgical patients who cannot achieve adequate nutrient intake by oral or enteral nutrition. It can be seen that most studies showing benefits of preoperative PN often included patients with upper gastrointestinal cancer and inflammatory bowel disease (10/12 studies), which gastrointestinal problems are commonly seen and enteral nutrition may be not feasible. When preoperative PN is indicated, adequate energy and protein should be provided, and patients should receive at least seven days of PN prior to surgery. The goal of preoperative PN is not weight regain, but rather repletion of energy, protein, micronutrients, and glycogen stores. Complications associated with preoperative PN are rarely seen in previous studies. In order to prevent and mitigate the potential complications such as refeeding syndrome, optimal monitoring and early management of micronutrient deficiencies is required.
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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) | 0.000 | 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) | 0.000 | 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 it