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Record W2146214741 · doi:10.1017/s1461145706006936

Recent non-medication trials of interpersonal psychotherapy for depression

2006· review· en· W2146214741 on OpenAlexaff
Myrna M. Weissman

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2006
Typereview
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsColumbia College
Fundersnot available
KeywordsInterpersonal psychotherapyPsychotherapistPsychiatryDepression (economics)Clinical trialMental healthInterpersonal communicationPsychologyMedicineClinical psychologyRandomized controlled trial

Abstract

fetched live from OpenAlex

Interpersonal psychotherapy (IPT) is a time-limited treatment described in a manual and tested in numerous clinical trials, with and without medication. Four recent clinical trials are reviewed in situations where medication as a first-line treatment for depression was not feasible (pregnancy, post partum, adolescence and in a developing country). The results show the efficacy of 12-16 wk of IPT compared to treatment as usual or no treatment in reducing depressive symptoms. The therapists providing the treatment included psychiatrists, psychologists, social workers as well as non-mental-health workers. We do not know if these patients might have done even better with medication, but each study showed a significant remission of symptoms of patients in IPT compared to controls. The use of efficacious, time-limited psychotherapy, which can be administered by non-medical personnel can be economical. An obstacle to providing evidence-based psychotherapies is the paucity of practitioners trained in them. Until the gap between training in psychotherapy and the research evidence in psychotherapy is bridged in training programmes, it will be difficult to provide patients with these treatments.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.101
GPT teacher head0.460
Teacher spread0.359 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2006
Admission routes1
Has abstractyes

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