Research priorities on physical-mental comorbidity in children and adolescents: an international consensus
Bibliographic record
Abstract
Physical-mental comorbidity in children and adolescents is an emerging global health concern, yet research remains fragmented and lacks a coordinated agenda. We conducted a global priority setting exercise using the Child Health and Nutrition Research Initiative method. A total of 134 research ideas were scored by 45 experts against five criteria: answerability, effectiveness, potential for paradigm shift, potential for translation and implementation, and impact on equity. The highest-ranked priorities focused on treatment strategies, early intervention, reducing disparities in care, and the role of schools and communities in supporting health. Comparative analyses revealed both shared and context-specific needs across income settings. This is the first global consensus on research priorities for child and adolescent physical-mental comorbidity and offers a strategic roadmap to guide future research and policy.
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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 | 0.081 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".