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Record W4414445951 · doi:10.1016/j.jagp.2025.09.017

Effects of Comorbid Anxiety on Treatment Outcomes After Accelerated Theta Burst Stimulation for Late-Life Depression

2025· article· en· W4414445951 on OpenAlexafffund
Jeanette Hui, Alisson Paulino Trevizol, Hyewon H. Lee, Reza Zomorrodi, Christoph Zrenner, Benoit H. Mulsant, Daniel M. Blumberger

Bibliographic record

VenueAmerican Journal of Geriatric Psychiatry · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsCentre for Addiction and Mental Health
FundersCentre for Addiction and Mental Health
KeywordsAnxietyDepression (economics)Depressive symptomsStimulationComorbidity

Abstract

fetched live from OpenAlex

OBJECTIVES: Accelerated theta burst stimulation (TBS) offers a time-efficient alternative to conventional repetitive transcranial magnetic stimulation and has recently been explored in late-life depression (LLD). Anxiety symptoms frequently occur in depressed older adults and are known to reduce the effectiveness of first-line therapeutic options. The impact of anxiety symptoms on treatment outcomes from accelerated TBS is unknown. METHODS: Secondary analyses were performed on data from an open-label pilot trial where 78 outpatients with LLD received a 5-day course of accelerated sequential bilateral TBS (NCT05119699). RESULTS: Participants with a comorbid anxiety disorder had more severe depressive symptoms before and after treatment and lower remission rates at the 4-week follow-up, but not immediately at treatment end. Baseline anxiety symptoms did not significantly affect rates of remission from suicidal ideation at either follow-up time points. CONCLUSIONS: Comorbid anxiety symptoms may reduce the effectiveness of accelerated TBS for treating depressive symptoms in older adults.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0010.000

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 head0.015
GPT teacher head0.302
Teacher spread0.287 · 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 designObservational
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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Geriatric PsychiatrySame topicTranscranial Magnetic Stimulation StudiesFrench-language works237,207