SmartTots Update Regarding Anesthetic Neurotoxicity in the Developing Brain
Bibliographic record
Abstract
SmartTots (http://smarttots.org/) represents a public-private partnership between the International Anesthesia Research Society and the US Food and Drug Administration. Over the past 7 years, SmartTots has worked in collaboration with various stakeholders to determine whether anesthetic drugs have detrimental effects on the developing brain. SmartTots has funded clinical and preclinical studies, organized meetings, served as a repository of peer-reviewed information, and facilitated the development of consensus-based statements. Here, we report advances in the field of anesthetic neurotoxicity and provide an update on SmartTots' activities. Clinical studies have provided some reassurance that a brief exposure to anesthetic drugs does not cause overt, persistent cognitive deficits. New recommendations aim to increase the reproducibility and "clinical relevance" of data from studies of laboratory animals. Overall, the field has advanced substantially; however, it remains paramount to definitively resolve whether anesthetic drugs are neurotoxic to the immature brain. The results of SmartTots efforts will either ally unwarranted fears or substantially change pediatric anesthetic practice and prompt studies to identify neuroprotective strategies.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".