Olanzapine plus fluoxetine reduce depressive symptoms faster than either drug alone in people with treatment resistant depression
Bibliographic record
Abstract
Shelton RC, Williamson DJ, Corya SA, et al . Olanzapine/fluoxetine combination for treatment-resistant depression: a controlled study of SSRI and nortriptyline resistance. J Clin Psychiatry 2005;66:1289–97.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Does a combination of olanzapine and fluoxetine lead to a greater reduction in symptoms in people with treatment resistant depression compared with either drug alone? ### ![Graphic][5] Design: Multicentre randomised controlled trial. ### ![Graphic][6] Allocation: Unclear. ### ![Graphic][7] Blinding: Double blind. ### ![Graphic][8] Follow up period: Eight weeks. ### ![Graphic][9] Setting: Seventy one sites in the United States and Canada; study started in August 1999. ### ![Graphic][10] Patients: 500 people (age 18–65 years) with treatment resistant unipolar, non-psychotic, major depression disorder (DSM-IV; Montgomery-Åsberg Depression Rating Scale (MADRS) total score ⩾20). Participants had not responded to a selective serotonin reuptake inhibitor in the past, and also failed to respond to nortriptyline (<30% reduction in … [1]: {openurl}?query=rft.jtitle%253DThe%2BJournal%2Bof%2Bclinical%2Bpsychiatry%26rft.stitle%253DJ%2BClin%2BPsychiatry%26rft.aulast%253DShelton%26rft.auinit1%253DR.%2BC.%26rft.volume%253D66%26rft.issue%253D10%26rft.spage%253D1289%26rft.epage%253D1297%26rft.atitle%253DOlanzapine%252Ffluoxetine%2Bcombination%2Bfor%2Btreatment-resistant%2Bdepression%253A%2Ba%2Bcontrolled%2Bstudy%2Bof%2BSSRI%2Band%2Bnortriptyline%2Bresistance.%26rft_id%253Dinfo%253Adoi%252F10.4088%252FJCP.v66n1012%26rft_id%253Dinfo%253Apmid%252F16259543%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=10.4088/JCP.v66n1012&link_type=DOI [3]: /lookup/external-ref?access_num=16259543&link_type=MED&atom=%2Febmental%2F9%2F2%2F42.atom [4]: /lookup/external-ref?access_num=000232911500012&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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".