PTH-253 Pre-operative weight loss in patients undergoing colorectal surgery
Bibliographic record
Abstract
<h3>Introduction</h3> Malnutrition is associated with poorer post-operative outcomes in patients undergoing surgery. Weight loss and nutritional problems are a common occurrence in cancer and IBD (Irritable Bowel Disease). This study examines the effect of weight loss and complications in a lower gastrointestinal (LGI) surgical population. <h3>Method</h3> A prospective observational study was undertaken in patients admitted to a GI Unit at St Thomas’ Hospital (October to December 2014) for emergency and elective surgery. Data on unintentional weight loss (6 months prior to admission), LOS (length of stay), and complication occurrence was collated. <h3>Results</h3> Data on 48 patients was collected; presented in Table 1: <h3>Conclusion</h3> Pre-operative weight loss was associated with increased LOS and complication occurrence in patients undergoing LGI surgery. Early detection and treatment of malnutrition is an essential consideration in the pre-operative optimisation of patients undergoing LGI surgery. Planned elective admissions should have services in place to address nutritional status prior to surgery. Further prospective randomised studies would help elucidate optimal pre-operative nutritional interventions. <h3>Disclosure of interest</h3> None Declared. <h3>Reference</h3> Dindo D, Demartines N, Clavien PA. The Clavien-Dindo Classification of Surgical Complications. Ann Surg. 2004;244:931–937
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".