Adding psychosocial therapy to methylphenidate may not improve its effectiveness in stimulant responsive children with ADHD
Bibliographic record
Abstract
Abikoff H, Hechtman L, Klein RG, et al . Symptomatic improvement in children with ADHD treated with long-term methylphenidate and multimodal psychosocial treatment. J Am Acad Child Adolesc Psychiatry 2004;43:802–11.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Does adding psychosocial therapy to methylphenidate improve effectiveness of treatment for ADHD in stimulant responsive children? ### ![Graphic][5] Design: Randomised controlled trial. ### ![Graphic][6] Allocation: Not reported. ### ![Graphic][7] Blinding: Phase 1 unblinded; phase 2 participants blinded to placebo substitution. ### ![Graphic][8] Follow up period: 24 months. ### ![Graphic][9] Setting: Two medical centres, New York and Montreal. ### ![Graphic][10] Patients: 103 children aged 7–10 years with DSM-III attention deficit/hyperactivity disorder (ADHD) who had previously responded to methylphenidate; ⩾1.5 on hyperactivity index of Conners’ teacher rating scale; medication free for at least two weeks before evaluation. Main exclusions: concomitant neurological disorder; psychosis; significant medical illness; tic or Tourette’s disorder; developmental, conduct, and learning disorders; physical or sexual abuse. ### ![Graphic][11] Intervention: Phase 1: methylphenidate alone (M; n = 34), methylphenidate + multimodal psychosocial treatment (M + MPT; n = 34) and methylphenidate + attention control psychosocial treatment (M + ACT; n = 35) for 1 year. All participants received individually tailored methylphenidate regimens. Phase 2: after … [1]: {openurl}?query=rft.jtitle%253DJournal%2Bof%2Bthe%2BAmerican%2BAcademy%2Bof%2BChild%2Band%2BAdolescent%2BPsychiatry%26rft.stitle%253DJ%2BAm%2BAcad%2BChild%2BAdolesc%2BPsychiatry%26rft.aulast%253DAbikoff%26rft.auinit1%253DH.%26rft.volume%253D43%26rft.issue%253D7%26rft.spage%253D802%26rft.epage%253D811%26rft.atitle%253DSymptomatic%2Bimprovement%2Bin%2Bchildren%2Bwith%2BADHD%2Btreated%2Bwith%2Blong-term%2Bmethylphenidate%2Band%2Bmultimodal%2Bpsychosocial%2Btreatment.%26rft_id%253Dinfo%253Adoi%252F10.1097%252F01.chi.0000128791.10014.ac%26rft_id%253Dinfo%253Apmid%252F15213581%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1097/01.chi.0000128791.10014.ac&link_type=DOI [3]: /lookup/external-ref?access_num=15213581&link_type=MED&atom=%2Febmental%2F8%2F1%2F9.atom [4]: /lookup/external-ref?access_num=000222246700005&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif [11]: /embed/inline-graphic-7.gif
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".