Serum neurofilament light release levels as marker of neurotoxicity in general anesthesia versus hypnosis: A prospective non-randomized trial
Bibliographic record
Abstract
Background: Whether general anesthetics induce neurotoxicity is unclear. Objectives: We hypothesized that serum neurofilament light (NfL) release, a marker of neural injury, would not be different in patients receiving general anesthesia (GA) compared to hypnosis. Design: Prospective, non-randomized. Setting: Tertiary university hospital. Methods: Patients undergoing breast cancer or thyroid/parathyroid surgery were enrolled. Propofol and remifentanil were used for GA. For hypnosis, only low dose remifentanil was allowed. Main outcome measures: NfL was measured at baseline, at day 1 and at postoperative visit. At preoperative and postoperative visit, patients performed a Montreal Cognitive Assessment (MoCA) test. Primary outcome was absolute change in NfL at day 1 between groups. Results: Among 100 included patients, 51 were in GA and 49 in hypnosis group. There were 26/49 (53%) breast cancer patients in hypnosis group and 13/51 (26%) in GA arm, p = 0.005. Baseline NfL was higher in the hypnosis group (p = 0.050). We subtracted log-transformed baseline NfL from postoperative NfL to analyze normalized values as absolute change. The mean normalized value at day 1 (primary endpoint) was 0.02 (± 0.11) in the GA and 0.03 (± 0.20) in the hypnosis group; p = 0.979 [d = 0.16, 95% CI: -0.40 to 0.39]. In a linear mixed-effects model including variables that influenced baseline NfL (advanced age, higher creatinine values, breast cancer), mean difference (95 % CI) in absolute change of log NfL at day 1 between both groups was 0.007 (- 0.04 to 0.06); p = 0.791. A change in MoCA as compared to baseline was not different between groups (p = 0.761). Conclusions: Our results show that there was no statistical or clinical difference in postoperative NfL release between GA and hypnosis. GA with propofol was not associated with a different risk of neural injury compared to hypnosis. Trial registration: NCT04500236.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".