Efficiency mark postoperative pain management and normalization of adaptation status in patients with reproductive system oncopathology
Bibliographic record
Abstract
Purpose of the study. Studying possible management of postoperative pain and normalization of adaptation status in patients with reproductive system onychopathology using xenon- oxygen therapy. Patients and methods. The study included 97 patients receiving surgical treatment for reproductive cancer at National Medical Research Centre for Oncology in 2016–2020. All patients were divided into the main and control groups depending on the performed corrective therapy with xenon- oxygen mixture. Inclusion criteria were: established diagnosis — endometrial cancer, cervical cancer or ovarian cancer at the surgical stage of antitumor treatment, absence of decompensated concomitant pathology. In addition to general clinical tests, the intensity of symptoms in patients was assessed using a standardized Edmonton questionnaire, adaptation status and data of a numerical rating scale of pain were recorded, the severity of endogenous intoxication was measured using calculated lymphocytic, leukocyte, nuclear and leukocyte shift index. Stages of the study included functional assessment of the patient's condition before surgical treatment and on the 1st and 5th days of the postoperative period. Results. An analysis showed statistically significant differences between the groups: in the group of patients receiving xenon- oxygen therapy, 12.9% of patients complained of pain, while in the control group — 34.2%, on mild exertion 17.1% and 39.9%, respectively (p<0.05). The therapy with xenon- oxygen mixture demonstrated its high significance in the adaptive status regulation and regression of negative clinical manifestations in patients after oncogynecological surgeries. Conclusion. The effectiveness of the chosen therapy with xenon- oxygen mixture demonstrates the possibility of anesthesia and normalization of the adaptive status of oncogynecological patients who underwent surgical treatment for reproductive cancers.
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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".