O2‐14‐02: THE CLINICAL SPECTRUM OF FRONTOTEMPORAL LOBAR DEGENERATION IN NORTH AMERICA: BASELINE CHARACTERISTICS OF THE FIRST 912 PARTICIPANTS FROM THE ADVANCING RESEARCH AND TREATMENT IN FTLD (ARTFL) CLINICAL RESEARCH CONSORTIUM
Bibliographic record
Abstract
ARTFL is a NIH-sponsored rare disease clinical research consortium involving 18 clinical centers that evaluate participants in order to 1) characterize the North American population of FTLD patients and 2) study longitudinal changes in familial FTLD (fFTLD) over one year. Key goals are to build clinical trial cohorts and to develop new clinical trial outcome measures including fluid biomarkers. Participants with FTLD spectrum disorders (bvFTD, svPPA, nfvPPA, FTD-ALS, CBD or PSP) or with strong family histories of FTLD undergo clinical and neuropsychological evaluations and blood draws for genetic and blood biomarker analyses. ARTFL is closely linked to the LEFFTDS project, sharing a common infrastructure and assessments. Asymptomatic fFTLD and a subset of sporadic cases undergo MRI. All ARTFL participants are genotyped for dementia-associated mutations. 912 (455 female (50%); 95% Caucasian) individuals were evaluated through December, 2017. In the 475 participants with sporadic FTLD, the most common diagnoses were bvFTD (30.5%) and PSP (20.8%), followed by svPPA (13%), nfvPPA (11.8%), CBS (9.8%) and sporadic FTD-ALS (3%). 45 (9.5%) individuals were referred to the project with FTLD diagnoses, but were determined by expert evaluation to have a different diagnosis. Of the 437 fFTLD participants, 35.7% were considered symptomatic (CDR>0) at their initial visit; the most prominent clinical phenotype was bvFTD (48.4%). Other diagnoses included FTD-ALS, MCI, and psychiatric disorders. The most common causative mutations identified in fFTLD were in C9ORF72 (including 3 in cases thought to be sporadic), followed by MAPT and GRN. 95 individuals with a strong FTLD family history, but no identifiable causative mutation in the family, have been enrolled to date. Expected differences in clinical and neuropsychological rating scales from the NACC UDS and FTLD modules were observed between diagnostic groups. ARTFL is building a substantial FTLD cohort at 18 North American research centers to support clinical research studies. Clinical, biomarker, genetic, imaging data and biospecimens from ARTFL and LEFFTDS are available to investigators worldwide via direct request and the NACC, LONI and NCRAD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".