The Effects of Propofol and Ketamine on the Cytokine Levels of Children With Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
The immune system of children with acute lymphoblastic leukemia (ALL) is affected by both the underlying disease and the chemotherapy. Children with ALL receive sedation for diagnostic and therapeutic procedures, which may contribute to immune competence alteration. The effects of propofol-ketamine combination on the immune system of children with ALL have not been investigated. This cohort study was designed to assess the immunomodulatory activity of the propofol-ketamine combination on proinflammatory and anti-inflammatory cytokines of children with ALL undergoing painful procedures. We enrolled 20 children with ALL undergoing bone marrow aspiration (BMA) and lumbar puncture with methotrexate. All children received sedation with IV ketamine (0.5 mg/kg) and propofol (3±2 mg/kg). Plasma concentration of cytokines interleukin (IL)-1β, IL-2, IL-6, IL-10, IL-8, IL-12p70, and interferon-γ before sedation for BMA was represented as T0, during lumbar puncture with methotrexate sedation 6 hours after T0 was represented as T1, and 24 hours after BMA was represented as T2. Sedation with propofol-ketamine combination did not modify the plasma concentration of the most measured cytokines and the T helper 1/2 ratio in children with ALL. There was a significant reduction in IL-8 concentration 24 hours after BMA associated with the concomitant administration of steroids and methotrexate. These data suggest that sedation with propofol-ketamine combination may not affect the immediate outcome of children with ALL.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".