A Review of Clinical Poster Presentations at the Sixth Biennial Pediatric Anesthesia Neurodevelopment Assessment (PANDA) Symposium
Bibliographic record
Abstract
Clinical researchers studying the long-term neurocognitive effects of anesthetic and sedative agents on children continue to struggle with identifying a phenotype for anesthetic neurotoxicity, the window of vulnerability, and the toxicity threshold in terms of concentration and duration. The Sixth Biennial Pediatric Anesthesia Neurodevelopment Assessment (PANDA) symposium at Columbia University included a moderated poster presentation session where 4 investigators presented their latest contributions to the landscape of clinical anesthetic neurotoxicity research. A lack of standardization in the design of clinical studies in terms of age at exposure, duration and type of exposure, and outcome measures assessed were highlighted by all the investigators. Suggestions for the future direction of clinical trials included the implementation of more consistent study parameters and the employment of standardized neurocognitive testing and imaging before and after exposure to general anesthesia. Presentations covered a broad range of topics including the valid translation of preclinical studies to human subjects, the quantification of real-world exposures to anesthetic and sedative medications, and possible alternatives to these exposures.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".