Effects of epidural block anesthesia combined with general anesthesia on inflammatory factors, cognitive function and postoperative pain in patients with lung cancer after thoracoscopic surgery.
Bibliographic record
Abstract
OBJECTIVE: To investigate the effects of epidural block anesthesia combined with general anesthesia on inflammatory factors, cognitive function and postoperative pain in patients with lung cancer after thoracoscopic surgery. METHODS: A total of 144 lung cancer patients admitted to the Department of Cardiothoracic Surgery of Ganzi Tibetan Autonomous Prefecture People's Hospital from October 2017 to October 2019 were included in this retrospective cohort study. The patients were divided into an observation group and a control group, with 72 cases in each group. Observation group was treated with epidural block anesthesia plus general anesthesia under thoracoscopic surgery, while control group was treated with general anesthesia alone. General information of both groups was compared. Tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) levels were measured by enzyme-linked immunosorbent assay before anesthesia (T0), before the end of operation (T1), 12 h after operation (T2) and 24 h after operation (T3). Calcium-binding protein (S-100β) content, mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) at T0, T3, the 3rd day after operation (T4), and the 5th day after operation (T5) were measured. And postoperative pain was recorded. RESULTS: There were no significant differences in TNF-α, IL-6, MMSE and MoCA between the two groups at T0, and no significant differences were seen in S-100β between the two groups at T0 and T1 (all P>0.05). Compared with control group, observation group had lower TNF-α and IL-6 at T1, T2, T3, T4 and T5, and lower S-100β at T3, T4 and T5 (all P<0.001). Lower pain scores and higher MMSE and MoCA were found in the observation group at T3, T4 and T5 (all P<0.05). CONCLUSION: Epidural block anesthesia combined with general anesthesia can effectively reduce levels of inflammatory factors, cognitive disorder and postoperative pain in patients with lung cancer after thoracoscopic surgery.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".