Anesthesia and the developing brain: A way forward for laboratory and clinical research
Bibliographic record
Abstract
All commonly used general anesthetics have been shown to cause neurotoxicity in animal models, including nonhuman primates. Opinion, however, remains divided over how cumulative evidence from preclinical and human studies in this field should be interpreted and its translation to current practices in pediatric anesthesia and surgery. A group of international experts in laboratory and clinical sciences recently convened in Genoa, Italy, to evaluate the current state of both laboratory and clinical research and discuss future directions for basic, translational, and clinical studies in this field. This paper describes those discussions and conclusions. A central goal identified was the importance of continuing to pursue laboratory research efforts to better understand the biological pathways underlying anesthesia neurotoxicity. The distinction between basic and translational experimental designs in this field was highlighted, and it was acknowledged that it will be important for future animal research to try to causally link structural changes with long-term cognitive abnormalities. While inherent limitations will continue to affect the ability of even large observational cohorts to determine if anesthesia impacts neurodevelopment or behavioral outcomes, the importance of conducting further large well-designed cohort studies was also emphasized. Adequately powered cohorts could clarify which populations are at increased risk, provide information on environmental and healthcare-related risk modifiers, and guide future interventional trials. If anesthetics cause structural or functional adverse neurological effects in young children, alternative or mitigating strategies need to be considered. While protective or mitigating strategies have been repeatedly studied in animals, there are currently no human data to support alternative anesthetic strategies in clinical practice. Lastly, it was noted that there is still considerable debate over the clinical relevance of anesthesia neurotoxicity, and the need to evaluate the impact of other aspects of perioperative care on neurodevelopment must also be considered.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.122 | 0.074 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.014 | 0.041 |
| Open science | 0.006 | 0.011 |
| Research integrity | 0.023 | 0.038 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".