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Record W4404813112 · doi:10.1111/ene.16537

Expert opinions on pharmacological symptomatic treatment of behavioral symptoms in frontotemporal dementia: A survey of the Neuropsychiatric International Consortium on Frontotemporal Dementia (NIC‐FTD)

2024· article· en· W4404813112 on OpenAlexaff
Dirk van Paassen, Luc Hartog, Sterre de Boer, Everard G.B. Vijverberg, Simon Ducharme, Yolande A.L. Pijnenburg, Alexander Santillo

Bibliographic record

VenueEuropean Journal of Neurology · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsFrontotemporal dementiaMedicinePsychiatryDementiaCognitionPersonality changesClinical psychologyDiseasePathology

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Behavioral variant frontotemporal dementia (bvFTD) is essentially characterized by progressive changes in personality and cognition. Clinically, bvFTD presents with often profound behavioral symptomatology. Despite the high burden of these symptoms for both patients and caregivers, there is no general consensus on an effective pharmacological symptomatic treatment. Interestingly, for multiple similar symptoms in primary psychiatric disorders, there is consensus on an effective pharmacological treatment. The aim of this study is to explore currently preferred clinical practices in the pharmacological treatment of specific core behavioral symptoms in bvFTD by world-leading clinical experts. METHODS: A digital survey was conducted among members of the Neuropsychiatric International Consortium on Frontotemporal Dementia, comprising neurologists, psychiatrists, and neuropsychiatrists. Respondents recommended pharmacological treatments targeting symptoms including disinhibition, apathy, loss of empathy, hyperorality, perseverative/compulsive behaviors, and positive psychotic symptoms. RESULTS: Of 48 respondents with a median experience of 11.5 years in treating bvFTD, disinhibition was most frequently targeted (58.4%), followed by perseverative/compulsive behaviors (46.5%). Recommended drug classes included atypical antipsychotics (35.1%), selective serotonin reuptake inhibitors (31.2%), antiepileptics (10.0%), serotonin antagonist and reuptake inhibitors (8.4%), benzodiazepines (4.0%), and others (11.4%). CONCLUSIONS: Our survey revealed diverse pharmacological treatment practices for behavioral symptoms in bvFTD, reflecting the expected radical heterogeneity in pharmacological treatment strategies. Notwithstanding this, results from this explorative survey could further inform future research directions, and thus in turn potentially aid in establishing more consensus on effective pharmacological management of bvFTD, while the field awaits the development of highly anticipated disease-modifying treatment(s).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.364
Teacher spread0.315 · 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 teacher head, 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

Citations5
Published2024
Admission routes1
Has abstractyes

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