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Record W2003932428 · doi:10.1136/ebmh.5.1.16

Paroxetine but not imipramine improved depression related outcomes in adolescents with <i>DSM-IV</i> major depression

2002· letter· en· W2003932428 on OpenAlexaboutno aff
Matthew Hotopf

Bibliographic record

VenueEvidence-Based Mental Health · 2002
Typeletter
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsParoxetineDepression (economics)ImipramineMedicinePlaceboInternal medicinePsychiatryHamilton depression scaleAntidepressantSignificant differencePathologyHamd

Abstract

fetched live from OpenAlex

Keller MB, Ryan ND, Strober M , et al. Efficacy of paroxetine in the treatment of adolescent major depression: a randomized, controlled trial. J Am Acad Child Adolesc Psychiatry2001 Jul; 40 : 762 –72 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In adolescents with major depression, is paroxetine or imipramine more effective than placebo for improving depression related outcomes? Randomised (unclear allocation concealement*), blinded (patients, clinicians, outcome assessors and statisticians)*, placebo controlled trial with 8 weeks of follow up. 10 centres in the US and 2 in Canada. 275 adolescents (mean age 15 y, 62% girls) who were medically healthy with a current episode of DSM-IV major depression for ≥8 weeks. Additional inclusion criteria were a total score of ≥12 on the Hamilton Depression Rating Scale (HDRS), a score of <60 on the Children's Global Assessment Scale, and a score of ≥80 on the Peabody Picture Vocabulary Test. Exclusion criteria included a … [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%253DKeller%26rft.auinit1%253DM.%2BB.%26rft.volume%253D40%26rft.issue%253D7%26rft.spage%253D762%26rft.epage%253D772%26rft.atitle%253DEfficacy%2Bof%2Bparoxetine%2Bin%2Bthe%2Btreatment%2Bof%2Badolescent%2Bmajor%2Bdepression%253A%2Ba%2Brandomized%252C%2Bcontrolled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1097%252F00004583-200107000-00010%26rft_id%253Dinfo%253Apmid%252F11437014%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=10.1097/00004583-200107000-00010&link_type=DOI [3]: /lookup/external-ref?access_num=11437014&link_type=MED&atom=%2Febmental%2F5%2F1%2F16.atom [4]: /lookup/external-ref?access_num=000169483500010&link_type=ISI

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.510
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.030
GPT teacher head0.303
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreCommentary

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".

Quick stats

Citations1
Published2002
Admission routes1
Has abstractyes

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