Sertraline with or without interpersonal psychotherapy reduces dysthymia symptoms over psychotherapy alone
Bibliographic record
Abstract
(2002) Journal of Affective Disorders 68, 317; Browne G, Steiner M, Roberts J et al. . Sertaline and / or interpersonal psychotherapy for patients with dysthymic disorder in primary care: 6-month comparison with longitudinal 2-year follow-up of effectiveness and costs. . April; . : . –30. . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: For people with dysthymia, what are the long-term costs and effects of combining sertraline with interpersonal psychotherapy in primary care? Randomised 6 month trial with 18 month follow up (allocation concealed). The outcome assessor was blind to group allocation. Primary care university-affiliated Health Services Organisation in Ontario, Canada. 707 adults with DSM-IV dysthmic disorder. All were aged 18–74 years (mean 42 years; 68% female). People with a chronic or acute episode of a major depressive disorder were eligible. Exclusion criteria were previous sertraline use; hypersensitivity to selective serotonin reuptake inhibitors; acute suicide risk; depot neuroleptic drugs within 6 months; participation in other trials within 1 month; use of sertonergic drugs; primary or secondary diagnosis of a psychotic disorder; clinically significant or unstable medical conditions; pregnancy; lactation, and women of childbearing age not using reliable contraception or planning pregnancy within 25 months. Participants received 6 months of sertraline alone, interpersonal psychotherapy alone or sertraline plus psychotherapy. The initial dose of … [1]: {openurl}?query=rft.jtitle%253DJournal%2Bof%2Baffective%2Bdisorders%26rft.stitle%253DJ%2BAffect%2BDisord%26rft.aulast%253DBrowne%26rft.auinit1%253DG.%26rft.volume%253D68%26rft.issue%253D2-3%26rft.spage%253D317%26rft.epage%253D330%26rft.atitle%253DSertraline%2Band%252For%2Binterpersonal%2Bpsychotherapy%2Bfor%2Bpatients%2Bwith%2Bdysthymic%2Bdisorder%2Bin%2Bprimary%2Bcare%253A%2B6-month%2Bcomparison%2Bwith%2Blongitudinal%2B2-year%2Bfollow-up%2Bof%2Beffectiveness%2Band%2Bcosts.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0165-0327%252801%252900343-3%26rft_id%253Dinfo%253Apmid%252F12063159%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=10.1016/S0165-0327(01)00343-3&link_type=DOI [3]: /lookup/external-ref?access_num=12063159&link_type=MED&atom=%2Febmental%2F6%2F1%2F29.atom [4]: /lookup/external-ref?access_num=000176496500017&link_type=ISI
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".