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Record W4413865959 · doi:10.1007/s11695-025-08163-2

A Randomized-Controlled Trial Examining Telephone-Based Cognitive Behavioral Therapy for Patients After Metabolic and Bariatric Surgery: 18 Month Follow-up Results

2025· article· en· W4413865959 on OpenAlexafffundabout
Stephanie E. Cassin, Kayoung Park, Samantha Leung, Clement Ma, George Tomlinson, Raed Hawa, Susan Wnuk, Timothy L. Jackson, David R. Urbach, Allan Okrainec, Jennifer Brown, Daniella Sandre, Sanjeev Sockalingam

Bibliographic record

VenueObesity Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsOttawa HospitalWomen's College HospitalCentre for Addiction and Mental HealthUniversity of TorontoUniversity Health NetworkToronto Metropolitan UniversityToronto Rehabilitation Institute
FundersCanadian Institutes of Health Research
KeywordsMedicineRandomized controlled trialCognitionObesityObesity SurgeryPhysical therapyCognitive behavioral therapySurgeryWeight lossPsychiatryInternal medicineGastric bypass

Abstract

fetched live from OpenAlex

BACKGROUND: Telephone-based Cognitive Behavioral Therapy (Tele-CBT) has shown to reduce disordered eating and psychological distress after metabolic and bariatric surgery (MBS). However, it is currently unknown how Tele-CBT impacts outcomes long term, and if differences in weight loss trajectories following Tele-CBT emerge with a long-term follow-up. This study aimed to identify whether Tele-CBT remains effective at 18 months post-intervention for improving psychological distress and maladaptive eating, and mitigating recurrent weight gain. METHODS: This large, multisite randomized control trial was conducted at three hospital-based MBS programs in Ontario, Canada. Participants (n = 306) were randomized 1:1 to receive either Tele-CBT or standard MBS care. The primary outcome was percentage of total weight loss (%TWL). Secondary outcomes included disordered eating (Binge Eating Scale, Emotional Eating Scale) and psychological distress (Patient Health Questionnaire-9, Generalized Anxiety Disorder-7). Linear mixed models assessed group-by-time interactions across five time points: baseline (1-year post-MBS), post-intervention, and 3-, 12-, and 18-month follow-ups. RESULTS: Tele-CBT resulted in significant post-intervention improvements in binge eating (MD = - 0.46, p < .001), emotional eating (MD = - 0.14, p = 0.01), anxiety (MD = - 0.40, p < .001), and depressive symptoms (MD = - 0.47, p < .001). These improvements were all sustained at 3 months post-intervention (p < .05) whereas only improvements for emotional eating were sustained at 12 months post-intervention (MD = - 0.15, p = 0.01). There were no significant differences in %TWL trajectories between the Tele-CBT and control groups. CONCLUSIONS: Tele-CBT provides psychological benefits, particularly in reducing emotional eating. Findings highlight the need for continued psychosocial support to sustain other psychological benefits and mitigate recurrent weight gain post-MBS and further research on optimizing intervention timing and duration. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03315247.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.033
GPT teacher head0.288
Teacher spread0.256 · 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 designRandomized 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

Citations3
Published2025
Admission routes3
Has abstractyes

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