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Record W1983480505 · doi:10.1159/000077155

Relationship between Frontotemporal Dementia and Corticobasal Degeneration/Progressive Supranuclear Palsy

2004· review· en· W1983480505 on OpenAlexaff
Andrew Kertesz, David G. Muñoz

Bibliographic record

VenueDementia and Geriatric Cognitive Disorders · 2004
Typereview
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsSt. Joseph's HospitalWestern University
Fundersnot available
KeywordsProgressive supranuclear palsyCorticobasal degenerationFrontotemporal dementiaPsychologyDementiaDegenerative diseaseFrontotemporal lobar degenerationNeuroscienceCentral nervous system diseaseMedicineDiseasePathology

Abstract

fetched live from OpenAlex

Progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) were described as separate entities, but prior to that an extrapyramidal variety of Pick's disease was recognized. Subsequently a pathological overlap between these conditions and clinical overlap between frontotemporal dementia, primary progressive aphasia, corticobasal degeneration syndrome and more recently PSP was recognized. Initially only the movement disorder had been emphasized, but now the behavioral and language symptoms are considered common. The syndromes of frontotemporal dementia/Pick's disease can be produced by underlying CBD, PSP or Pick pathology as well as with neural inclusions of the motor neuron disease type. The concept of this overlap has been confirmed genetically finding a similar spectrum of pathology with different tau mutations and even with tau negative pathology, which could be a deficiency of normal tau. The overlap of CBD with PSP and both with PPA and FTD allows to consider these relatively rare conditions as part of a more commonly occurring degenerative disease than previously recognized.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.043
GPT teacher head0.350
Teacher spread0.307 · 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 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

Citations75
Published2004
Admission routes1
Has abstractyes

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