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Record W4412162150 · doi:10.1037/pst0000586

A randomized controlled trial of emotionally focused individual therapy (EFIT) for depression and anxiety.

2025· article· en· W4412162150 on OpenAlex
Stephanie A. Wiebe, Susan M. Johnson, Robert Allan, T. Leanne Campbell, Paul S. Greenman, David R. Fairweather, Mariam R. Ismail, Giorgio A. Tasca

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychotherapy · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of OttawaUniversité du Québec en OutaouaisSaint Paul University
Fundersnot available
KeywordsPsychologyAnxietyRandomized controlled trialPsychotherapistClinical psychologyDepression (economics)PsychiatryMedicineInternal medicine

Abstract

fetched live from OpenAlex

= 12.28). Sixty-three percent identified as women, and 37% identified as male. In terms of ethnicity, 73% identified as White, 1.3% as Black, 7.7% as Southeast Asian, 7.7% as East Asian, 3.8% as Latinx, and 2.6% as First Nation. Participants completed the Outcome Questionnaire-30.2, the Patient-Reported Outcomes Measurement Information System (PROMIS)-Depression scale, and the PROMIS-Anxiety scale. Multilevel modeling results confirmed a significant difference in growth curves between the treatment group and controls on all measures. Follow-up analyses demonstrated significant reductions in symptom distress (Outcome Questionnaire-30.2) and symptoms of depression and anxiety (PROMIS-Depression and PROMIS-Anxiety) across 15 weeks. Overall, the results of this study suggest that EFIT leads to significant symptom reduction among people with depression and anxiety. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.318
Teacher spread0.297 · 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