Assessment of long-term neurodevelopmental outcome following trials of medicinal products in newborn infants
Bibliographic record
Abstract
There is significant uncertainty over the role of assessment of long-term neurodevelopmental outcome (LTO) in neonatal clinical trials. A multidisciplinary working group was established to identify key issues in this area and to make recommendations about optimal approaches to evaluate LTO in therapeutic trials in newborns, which can be developed by sponsors and investigators with other key stakeholders. A key consideration for neonatal trials is the potential for the investigational product to cause widespread effects and drives the need to assess outcome in multiple organs. Thus investigators must assess whether the product has an impact on the brain and the potential for it to cause potential effects on LTO. Critically, is assessment of LTO an important direct therapeutic target or a safety outcome? Such decisions and outcomes need to be specific to the product being studied and use published data, only considering expert opinion when prior evidence does not exist. In designing the trial, the balance of benefits, costs, and burdens of assessments to the researcher and families need to be considered. Families and parent advocates should be involved in design and execution of the study. A framework is presented for use by all key stakeholders to determine the need, nature, and duration of LTO assessments in regulatory trials involving newborn infants.
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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 | 0.017 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".