Lifespan Persistence of ADHD
Bibliographic record
Abstract
Article Abstract Background: The understanding that attention-deficit/hyperactivity disorder (ADHD) often persists throughout life has heightened interest of patients, families, advocates, and professionals in a longitudinal approach to management. Such an approach must recognize and address known patient- and systems-based challenges of long-term mental health treatment, shifting of clinical presentations of ADHD, and commonality of psychiatric comorbidity with ADHD. Objective: The ADHD Life Transition Model is a step toward developing criteria to optimize recognition and clinical management of ADHD (eg, response, remission) across an individual's lifespan and across diverse medical subspecialties. To support therapeutic efficiency and adaptability, our proposed model highlights periods when external resources for managing ADHD are reduced, cognitive and behavioral stressors are increased, and individuals may be reevaluating how they perceive, accept, and adhere to ADHD treatment. Such a model aims to support the clinical community by placing in context new findings, which suggest that the prevention of adult psychopathology in individuals with pediatric ADHD may be possible. Conclusions: The ADHD Life Transition Model seeks to improve care for individuals with ADHD by (1) underscoring that ADHD persists beyond childhood in at least two-thirds of patients, (2) raising awareness of the need to approach ADHD from a chronic illness standpoint, and (3) increasing mental health professionals†diligence in symptom recognition and management of ADHD across developmental phases from childhood through adulthood. J Clin Psychiatry © Copyright 2012 Physicians Postgraduate Press, Inc. Submitted: October 8, 2010; accepted: November 2, 2011. Online ahead of print: January 10, 2012 (doi:10.4088/JCP.10m06628). † Deceased Corresponding author: David W. Goodman, MD, Johns Hopkins at Green Spring Station, 10751 Falls Rd, Ste 306, Lutherville, MD 21093 (dgoodma4@jhmi.edu).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".