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Record W2162159995 · doi:10.1002/da.20203

Intensive Short-Term Dynamic Psychotherapy of treatment-resistant depression: a pilot study

2006· article· en· W2162159995 on OpenAlexaff
Allan Abbass

Bibliographic record

VenueDepression and Anxiety · 2006
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTreatment-resistant depressionDepression (economics)Randomized controlled trialInterpersonal psychotherapyMedicinePhysical therapyPilot trialPsychotherapistPsychologyPsychiatryMajor depressive disorderSurgery

Abstract

fetched live from OpenAlex

This pilot study examined the effectiveness of Intensive Short-term Dynamic Psychotherapy (ISTDP) in treatment-resistant depression (TRD). Ten patients with TRD were provided a course of ISTDP. Clinician and patient symptom and interpersonal measures were completed every 4 weeks, at termination, and in follow-up. Medication, disability, and hospital costs were compared before and after treatment. After an average of 13.6 sessions of therapy, all mean measures reached the normal range, with effect sizes ranging from 0.87 to 3.3. Gains were maintained in follow-up assessments. Treatment costs were offset by cost reductions elsewhere in the system. This open study suggests that ISTDP may be effective with this challenging patient group. A randomized, controlled trial and qualitative research are warranted to evaluate this treatment further and to examine its possible therapeutic elements.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.305
Teacher spread0.285 · 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 designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations71
Published2006
Admission routes1
Has abstractyes

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