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]</img> Design: Two randomised controlled trials. ### ![Graphic][6]</img> Allocation: Concealed. ### ![Graphic][7]</img> Blinding: Double blinded (clinicians, patients). ### ![Graphic][8]</img> Follow up period: 10 weeks. ### ![Graphic][9]</img> 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]</img> 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
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".