New directions in clinical trials for frontotemporal lobar degeneration: Methods and outcome measures
0301 basic medicine
Aging
LEFFTDS
Clinical Sciences
Clinical Trials and Supportive Activities
610
ARTFL
Clinical sciences
Neurodegenerative
Frontotemporal lobar degeneration
03 medical and health sciences
Rare Diseases
Clinical Research
C9orf72
Acquired Cognitive Impairment
MAPT
Humans
Alzheimer's Disease Related Dementias (ADRD)
Clinical Trials as Topic
Biomedical and Clinical Sciences
Progressive supranuclear palsy
Neurosciences
Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)
FTD
Biomarker
Congresses as Topic
Magnetic Resonance Imaging
Brain Disorders
3. Good health
Clinical trial
Frontotemporal Dementia (FTD)
Geriatrics
Biological psychology
Dementia
Primary progressive aphasia
Atrophy
Frontotemporal Lobar Degeneration
FTLD
Frontotemporal dementia
GRN
Biomarkers
DOI:
10.1016/j.jalz.2019.06.4956
Publication Date:
2019-10-24T00:57:57Z
AUTHORS (31)
ABSTRACT
AbstractIntroductionFrontotemporal lobar degeneration (FTLD) is the most common form of dementia for those under 60 years of age. Increasing numbers of therapeutics targeting FTLD syndromes are being developed.MethodsIn March 2018, the Association for Frontotemporal Degeneration convened the Frontotemporal Degeneration Study Group meeting in Washington, DC, to discuss advances in the clinical science of FTLD.ResultsChallenges exist for conducting clinical trials in FTLD. Two of the greatest challenges are (1) the heterogeneity of FTLD syndromes leading to difficulties in efficiently measuring treatment effects and (2) the rarity of FTLD disorders leading to recruitment challenges.DiscussionNew personalized endpoints that are clinically meaningful to individuals and their families should be developed. Personalized approaches to analyzing MRI data, development of new fluid biomarkers and wearable technologies will help to improve the power to detect treatment effects in FTLD clinical trials and enable new, clinical trial designs, possibly leveraged from the experience of oncology trials. A computational visualization and analysis platform that can support novel analyses of combined clinical, genetic, imaging, biomarker data with other novel modalities will be critical to the success of these endeavors.
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