The Concept of "Fast Track Surgery" as an Influencer on the Dynamics of Components of Stress-Realizing and Stress-Limiting Systems in the Perioperative Period
Bibliographic record
Abstract
The concept of "Fast Track Surgery" has been of increasing interest, which implies accelerated recovery and a decrease in the frequency of postoperative complications, namely, a decrease in the body's stress response to surgery. The study aimed to assess the effect of Fast Track Surgery on the degree of surgical treatment trauma based on the dynamics of the functional integration of hormonal components of the stress-realizing / stress-limiting systems in the perioperative period. The study was conducted in 3 groups of patients. Groups of patients are comparable in age, sex, diagnosis of an underlying disease, degree of operative-anaesthetic risk ASA, intraoperative parameters, which allowed to carry out an analytical evaluation of the results of the study as objectively and reliably as possible. In the postoperative period, the maximum increase in stress-realizing system parameters in all groups was registered in patients after 1 day after surgery, less significant after LSSI-F: the concentration of daily excretion of dopamine exceeded the preoperative values by 1.2 times, epinephrine 2.0 times, norepinephrine in 1.3 times. Along with the activation of the stress-realizing system, a dynamic increase in the activity of the stress-limiting system was noted: after LSSI-F, the level of GABA increased by 1.3 times, after TSSI, the GABA secretion increased 1.2-fold. Laparoscopic SSI in combination with "Fast Track Surgery" contributed to a decrease in the intensity of the patient's stress response to the operating injury, which, in turn, significantly increased the effectiveness of simultaneous treatment and the quality of life of patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".