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Record W6940792366 · doi:10.1192/j.eurpsy.2023.571

DTMS Combined with a Pain-directed Psychotherapeutic Intervention in Fibromyalgia - A Randomized Double-blind Sham-controlled Study

2023· article· en· W6940792366 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed Central · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsFibromyalgiaVisual analogue scaleRandomized controlled trialIntervention (counseling)RheumatologyFibromyalgia syndromeDepression (economics)Rating scaleQuality of life (healthcare)

Abstract

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INTRODUCTION: Fibromyalgia Syndrome (FMS) is a highly prevalent condition, causing chronic pain and severe reduction in quality of life and productivity, as well as social isolation (Birtane et al. Clinical Rheumatology 2007; 26(5), pp. 679–684; Arnold et al. Psychosomatics. England 2010; 51(6), pp. 489–497; Lacasse, Bourgault and Choinière. BMC Musculoskeletal Disorders 2016; 17(1), pp. 1–9). Despite significant morbidity and economic burden caused by FMS, current treatments are scarce (Busch et al. The Journal of rheumatology. Canada 2008; 35(6), pp. 1130–1144; Bernardy et al. Journal of Rheumatology 2010; 37(10), pp. 1991–2005; Jackson et al. American journal of hematology 2016; 91(5), pp. 476–80). OBJECTIVES: To examine whether stimulation of the dorsal Anterior-Cingulate-Cortex and the medial Prefrontal-Cortex (ACC-mPFC) activity by deep Transcranial Magnetic Stimulation (dTMS) enhances a pain-directed psychotherapeutic intervention. METHODS: Nineteen FMS patients were randomized to either 20 sessions of dTMS or sham stimulation, each followed by a pain-directed psychotherapeutic intervention. Using H7 HAC-coil or sham stimulation, we targeted the ACC-mPFC; specific brain areas that have a central role in pain processing (Fomberstein, Qadri and Ramani. Current Opinion in Anaesthesiology 2013; 26(5), pp. 588–593; Tendler, A. et al. Expert Review of Medical Devices 2016; 13(10), pp. 987–1000). Clinical response to treatment was evaluated using the McGill Pain Questionnaire (MPQ), Visual Analogue Fibromyalgia Impact Questionnaire (VAS-FIQ), Brief Pain Inventory questionnaire (BPI), and the Hamilton Depression Rating Scale (HDRS). RESULTS: DTMS treatment was safe and well tolerated by FMS patients. A significant decrease in the sensory and affective pain dimensions was demonstrated specifically in the dTMS cohort, as measured by the MPQ using paired-sample t-tests with Bonferroni correction for multiple comparisons on three-time points (Significant group x time interaction [F(2, 34) = 3.79, p < .05, η(2 =) 0.183]. No significant changes were found in the cognitive functions, psychophysical measurements of pain, or depressive symptoms in both dTMS and sham groups and between groups. CONCLUSIONS: Our findings suggest that a course of dTMS combined with a pain-directed psychotherapeutic intervention can alleviate pain symptoms in FMS patients. Beyond the clinical possibilities, future studies are needed to substantiate the innovative hypothesis that it is not the dTMS alone, but rather dTMS driven plasticity of pain-related networks, that enables the efficacy of pain-directed psychotherapeutic interventions. DISCLOSURE OF INTEREST: None Declared

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)0.001
metaresearch head score (Gemma)0.001
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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
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)0.0110.001

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 head0.024
GPT teacher head0.244
Teacher spread0.220 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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