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Record W4281635756 · doi:10.2337/db22-1318-p

1318-P: Repetitive Transcranial Magnetic Stimulation: A Potential Treatment for Obesity in Patients with Prader-Willi Syndrome

2022· article· en· W4281635756 on OpenAlexaboutno aff
ANNA FERRULLI, Daniele Cannavaro, CONCETTA MACRÌ, Stefano Massarini, LIVIO LUZI

Bibliographic record

VenueDiabetes · 2022
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTranscranial magnetic stimulationWeight lossMedicineInternal medicineObesityPrefrontal cortexEndocrinologyStimulationDopaminergicCravingPsychologyDopamineCognitionPsychiatryAddiction

Abstract

fetched live from OpenAlex

Prader-Willi Syndrome (PWS) is the most common syndromic type of human obesity. Multiple endocrine abnormalities due to hypothalamic dysfunction as well as cognitive and behavioral disorders occur in PWS. Hypothalamic dysfunction, dysregulated mesocorticolimbic reward system, and impaired prefrontal cortex (PFC) function are implicated in the pathophysiology of hyperphagia and obesity in PWS. All available therapeutic tools have not fully targeted at counteract the mechanisms underlying obesity in PWS. Previously, we demonstrated the safety and efficacy of repetitive Transcranial Magnetic Stimulation (rTMS) in inducing weight loss in obesity by modulating the brain dopaminergic system and enhancing the inhibitory activity of the PFC on eating behaviour (Ferrulli et al, DOM 2019) . In this case-report, for the first time, we tested the efficacy and safety of rTMS in a 23-year-old patient with PWS, in whom repeated interventions aimed at inducing weight loss have failed. A 5-week high frequency (18 Hz) rTMS treatment, associated with diet, resulted in a 3.5% weight loss (127.4 vs. 123 Kg, BMI: 50.4 vs. 48.6 Kg/m2, WHR: 1.14 vs. 1.12) . Concerning the metabolic parameters, an improvement in lipid profile has been shown (CHO/HDL/LDL/TG: 212/40/142/152 vs. 190/40/124/131 mg/dL) . While no significant changes emerged in the psychometric assessment of food craving, impulsiveness, quality of life, self-esteem, interestingly, a robust improvement in the Mini-Mental State Examination score (corrected for age and schooling) has been found [from 22 (severe impairment) to 27 (moderate impairment) ]. The improvement in the cognitive status assessed through the Montreal Cognitive Assessment was weaker (17/30 to 19/30) . In view of the urgent need of novel effective interventions for obesity in PWS, these findings support a potential role of rTMS in reducing food drive and behaviors impacting hyperphagia and obesity in PWS, with a possible impact also on cognitive functions. Disclosure A.Ferrulli: None. D.Cannavaro: None. C.Macrì: None. S.Massarini: None. L.Luzi: Advisory Panel; Eli Lilly and Company, Speaker’s Bureau; Eli Lilly and Company, Novo Nordisk. Funding IRCCS Multimedica - Ricerca Corrente

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.224
Teacher spread0.209 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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