Sertraline improves symptoms in children and adolescents with major depressive disorder
Bibliographic record
Abstract
Wagner KD, Ambrosini P, Rynn M, et al . Efficacy of sertraline in the treatment of children and adolescents with major depressive disorder: two randomized controlled trials. JAMA 2003;290:1033–41.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What are the effects of sertraline in children and adolescents with major depressive disorder (MDD)? ### ![Graphic][5] Design: Two randomised controlled trials. ### ![Graphic][6] Allocation: Concealed. ### ![Graphic][7] Blinding: Double blinded (clinicians, patients). ### ![Graphic][8] Follow up period: 10 weeks. ### ![Graphic][9] Setting: Two identically designed trials run concurrently in 53 hospital, general practice and academic centres in USA, India, Canada, Costa Rica, and Mexico; enrolment December 1999 to May 2001. ### ![Graphic][10] Patients: 376 children and adolescents aged 6 to 17 years with a current episode of MDD (DSM-IV criteria) lasting at least 6 weeks, and scoring at least 45 on the Children’s Depression Rating Scale-Revised (CDRS-R) and at least 4 on the Clinical Global Impression Scale of Severity of Illness (CGI-S) during 3 visits within a 2 week screening period. Exclusions: attention-deficit/hyperactivity disorder, conduct disorder, obsessive compulsive disorder, panic disorder, or psychotic features; history of bipolar, psychotic, or autistic spectrum … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.aulast%253DWagner%26rft.auinit1%253DK.%2BD.%26rft.volume%253D290%26rft.issue%253D8%26rft.spage%253D1033%26rft.epage%253D1041%26rft.atitle%253DEfficacy%2Bof%2BSertraline%2Bin%2Bthe%2BTreatment%2Bof%2BChildren%2Band%2BAdolescents%2BWith%2BMajor%2BDepressive%2BDisorder%253A%2BTwo%2BRandomized%2BControlled%2BTrials%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.290.8.1033%26rft_id%253Dinfo%253Apmid%252F12941675%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=10.1001/jama.290.8.1033&link_type=DOI [3]: /lookup/external-ref?access_num=12941675&link_type=MED&atom=%2Febmental%2F7%2F1%2F10.atom [4]: /lookup/external-ref?access_num=000184958900021&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
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".