Early detection of mental disorders in child psychiatry: the accuracy of parental concerns
Bibliographic record
Abstract
This study examines the reliability of parental concern (PC) as an indicator for mental disorders in preschool-aged children in a clinical setting, aiming to establish sensitivity and specificity, evaluate PC’s predictive value for specific diagnoses, and explore the influence of child age on predictions. The sample comprises 574 children referred to child psychiatry services (mean age 47 months, 73% boys). Analyses of sensitivity and specificity for five distinct PC were conducted, while logistic regressions explored the predictive value of PC for corresponding diagnoses, accounting for child age. Language-related concerns emerged as the most frequent and accurate. Sensitivity ranged from 7% to 72%, while specificity ranged from 57% to 97%. PC demonstrated predictive validity for their corresponding diagnoses, except for motor disorders. Child age did not substantially influence these predictions. Findings suggest that systematically incorporating PC into the assessment process for preschool-aged children consulting in child psychiatry is warranted.
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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 | 0.004 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".