The effect of anesthesia on the magnitude of the postoperative systemic inflammatory response in patients undergoing elective surgery for colorectal cancer in the context of an enhanced recovery pathway
Bibliographic record
Abstract
ABSTRACT: There are reports that the use of regional anesthesia (RA) may be associated with better perioperative surgical stress response in cancer patients compared with general anesthetics (GA). However, the role of anesthesia on the magnitude of the postoperative systemic inflammatory response (SIR) in colorectal cancer patients, within an enhanced recovery pathway (ERP), is not clear.The aim of the present study was to examine the effect of anesthesia, within an enhanced recovery pathway, on the magnitude of the postoperative SIR in patients undergoing elective surgery for colorectal cancer.Database of 507 patients who underwent elective open or laparoscopic colorectal cancer surgery between 2015 and 2019 at a single center was studied. The anesthetic technique used was categorized into either GA or GA + RA using a prospective proforma. The relationship between each anesthetic technique and perioperative clinicopathological characteristics was examined using binary logistic regression analysis.The majority of patients were male (54%), younger than 65 years (41%), either normal or overweight (64%), and were nonsmokers (47%). Also, the majority of patients underwent open surgery (60%) and received mainly general + regional anesthetic technique (80%). On univariate analysis, GA + RA was associated with a lower day 4 CRP (≤150/>150 mg/L) concentration. On day 4, postoperative CRP was associated with anesthetic technique [odds ratio (OR) 0.58; confidence interval (CI) 0.31-1.07; P = .086], age (OR 0.70; CI 0.50-0.98; P = .043), sex (OR 1.15; CI 0.95-2.52; P = .074), smoking (OR 1.57; CI 1.13-2.19; P = .006), preoperative mGPS (OR 1.55; CI 1.15-2.10; P = .004), and preoperative dexamethasone (OR 0.70; CI 0.47-1.03; P = .072). On multivariate analysis, day 4 postoperative CRP was independently associated with anesthetic technique (OR 0.56; CI 0.32-0.97; P = .039), age (OR 0.74; CI 0.55-0.99; P = .045), smoking (OR 1.58; CI 1.18-2.12; P = .002), preoperative mGPS (OR 1.41; CI 1.08-1.84; P = .012), and preoperative dexamethasone (OR 0.68; CI 0.50-0.92; P = .014).There was a modest but an independent association between RA and a lower magnitude of the postoperative SIR. Future work is warranted with multicenter RCT to precisely clarify the relationship between anesthesia and the magnitude of the postoperative SIR.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".