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Frontotemporal Dementia: One Disease, or Many?

2005· review· en· W1989648776 on OpenAlexaff
Andrew Kertesz

Bibliographic record

VenueAlzheimer Disease & Associated Disorders · 2005
Typereview
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsFrontotemporal dementiaProgressive supranuclear palsySemantic dementiaCorticobasal degenerationPrimary progressive aphasiaPathologyDementiaPsychologyAphasiaPathologicalMolecular pathologyTau proteinPick's diseaseFrontotemporal lobar degenerationNeuroscienceMedicineDiseaseAlzheimer's diseaseBiologyGenetics

Abstract

fetched live from OpenAlex

Accumulating evidence suggest that frontotemporal dementia is best viewed as a clinical syndrome even though there are distinct presentations of the behavioral variety, progressive aphasia, semantic dementia, corticobasal degeneration and progressive supranuclear palsy. Similarly the pathology should be regarded as a spectrum even though histological varieties are distinguished. More than half of FTD pathology is associated with ubiquitin positive and tau negative inclusions that are common in ALS. However the majority of FTD cases do not have ALS clinically and relatively few ALS cases develop FTD. The pathological and biochemical varieties can be dichotomized as tau positive and tau negative pathology and biochemistry. The genetics of the tau positive variety is associated with tau mutations and so far the tau negative variety is not, although some are linked to chromosome-17 also. There is a corresponding clinical dichotomy combining the behavioral variety of FTD presentation with semantic dementia and usually ubiquitin positive tau negative pathology on one hand and the association of primary progressive aphasia and cortical basal degeneration/PSP syndrome with tau positive pathology on the other. The overlap between them is too great to establish two separate diseases.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.759
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.080
GPT teacher head0.370
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations21
Published2005
Admission routes1
Has abstractyes

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