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Record W3048372023 · doi:10.2196/18843

Repetitive Transcranial Magnetic Stimulation With and Without Internet-Delivered Cognitive-Behavioral Therapy for the Treatment of Resistant Depression: Protocol for Patient-Centered Randomized Controlled Pilot Trial

2020· article· en· W3048372023 on OpenAlexafffundvenueabout
Rabab M Abou El-Magd, Gloria Obuobi-Donkor, Medard Kofi Adu, Christopher Lachowski, Surekha Duddumpudi, Mobolaji A. Lawal, Adegboyega Sapara, Michael Achor, Maryam Kouzehgaran, Roshan Hegde, Corina Chew, Mike Mach, Shelley Daubert, Liana Urichuk, Mark Snaterse, Shireen Surood, Daniel Li, Andrew J. Greenshaw, Vincent I. O. Agyapong

Bibliographic record

VenueJMIR Research Protocols · 2020
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsAlberta Health ServicesUniversity of Alberta
FundersAlberta Health Services
KeywordsRandomized controlled trialMajor depressive disorderDepression (economics)MedicineTreatment-resistant depressionTranscranial magnetic stimulationPhysical therapyCognitive behavioral therapyPsychiatryRating scaleClinical trialElectroconvulsive therapyMoodPsychologyCognitionInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Major depression is a severe, disabling, and potentially lethal clinical disorder. Only about half of patients respond to an initial course of antidepressant pharmacotherapy. At least 15% of all patients with major depressive disorder (MDD) remain refractory to any treatment intervention. By the time that a patient has experienced 3 definitive treatment failures, the likelihood of achieving remission with the fourth treatment option offered is below 10%. Repetitive transcranial magnetic stimulation (rTMS) is considered a treatment option for patients with MDD who are refractory to antidepressant treatment. It is not currently known if the addition of internet-delivered cognitive-behavioral therapy (iCBT) enhances patients' responses to rTMS treatments. OBJECTIVE: This study will evaluate the initial comparative clinical effectiveness of rTMS with and without iCBT as an innovative patient-centered intervention for the treatment of participants diagnosed with treatment-resistant depression (TRD). METHODS: This study is a prospective, two-arm randomized controlled trial. In total, 100 participants diagnosed with resistant depression at a psychiatric care clinic in Edmonton, Alberta, Canada, will be randomized to one of two conditions: (1) enrolment in rTMS sessions alone and (2) enrolment in the rTMS sessions plus iCBT. Participants in each group will complete evaluation measures (eg, recovery, general symptomatology, and functional outcomes) at baseline, 1 month, 3 months, and 6 months. The primary outcome measure will be the mean change to scores on the Hamilton Depression Rating Scale. Patient service utilization data and clinician-rated measures will also be used to gauge patient progress. Patient data will be analyzed with descriptive statistics, repeated measures, and correlational analyses. RESULTS: We expect the results of the study to be available in 24 months. We hypothesize that participants enrolled in the study who receive rTMS plus iCBT will achieve superior outcomes in comparison to participants who receive rTMS alone. CONCLUSIONS: The concomitant application of psychotherapy with rTMS has not been investigated previously. We hope that this project will provide us with a concrete base of data to evaluate the practical application and efficacy of using a novel combination of these two treatment modalities (rTMS plus iCBT). TRIAL REGISTRATION: ClinicalTrials.gov NCT0423965; https://clinicaltrials.gov/ct2/show/NCT04239651. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/18843.

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)0.028
metaresearch head score (Gemma)0.020
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.060
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.020
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0120.005
Bibliometrics0.0030.004
Science and technology studies0.0040.004
Scholarly communication0.0040.003
Open science0.0050.002
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0600.010

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 head0.317
GPT teacher head0.503
Teacher spread0.186 · 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
GenreProtocol

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

Citations6
Published2020
Admission routes4
Has abstractyes

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