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Record W7117252718 · doi:10.1002/alz70857_099793

Towards uniformity in bvFTD Phenocopy Syndrome: specialists’ perspectives and proposed research criteria

2025· article· en· W7117252718 on OpenAlexaff
Paula I. Vanneste, Flora H. Duits, Willem Lucas Hartog, Dirk N. van Paassen, Marie‐Paule van Engelen, Dhamidhu Eratne, Simon Ducharme, Yolande A.L. Pijnenburg, Welmoed A. Krudop

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsPhenocopyDelphi methodIdentification (biology)Set (abstract data type)Process (computing)Delphi

Abstract

fetched live from OpenAlex

BACKGROUND: The phenocopy syndrome of behavioral variant FTD (phFTD) refers to patients exhibiting clinical characteristics of bvFTD but without objective progression during follow-up. As no diagnostic criteria currently exist, we aimed to assess clinicians' perspectives on the diagnostic process for phFTD. By integrating these perspectives, we aim to develop research criteria for phFTD. METHOD: We established the Phenocopy Working Group within the Neuropsychiatric International Consortium on Frontotemporal Dementia (NIC-FTD), a consortium of researchers with expertise in FTD and psychiatric disorders. We employed an international Delphi methodology comprising three rounds, each involving an online survey followed by a group meeting to discuss controversies. Here we present the results of the first round. We recently sent out the second-round survey, in which we aim to reach consensus on the remaining categories, incorporating clinical presentation, diagnostic tools and follow-up. In a third and final round we will establish consensus on the final criteria. RESULT: The expert panel of the first Delphi round consisted of 50 clinicians with a median of 10 (IQR: 5-20) years of experience in phFTD. According to panelists' estimations, Raskovsky (2011) criteria most frequently met in phFTD were apathy (90%), loss of empathy (64%) and disinhibition (60%). Additionally, memory complaints and depressive symptoms were considered often present. Genetic screening for C9orf72 was almost unanimously endorsed, as were structural MRI and [18F]-FDG-PET as minimally required neuroimaging (Figure 1). Most frequent differential diagnoses were bvFTD (76%), mood disorders (48%), personality disorders (32%) and bvAD (24%) (Figure 2). Two thirds of panelists presumed the likelihood of a neurodegenerative etiology for phFTD to be ≤50% (Figure 3). 85% considered clinical follow-up of at least two years appropriate before appointing a label of phFTD. CONCLUSION: The first Delphi round showed expert consensus on several components of the diagnostic process for phFTD, including genetic testing for C9orf72, baseline and repeated structural MRI and FDG-PET and follow-up duration. Completing the full Delphi procedure will result in a set of research criteria. Establishment of these criteria will enhance accurate identification of phFTD, facilitate research and advance clinical care for this rare and poorly understood patient group.

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)0.382
metaresearch head score (Gemma)0.323
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.382
Threshold uncertainty score0.762

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3820.323
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.005
Science and technology studies0.0060.017
Scholarly communication0.0100.013
Open science0.0060.019
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0020.001

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 head0.050
GPT teacher head0.398
Teacher spread0.348 · 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.

Study designQualitative
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 routes1
Has abstractyes

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