Evidence map›Paper›PMID 33112398›Full record

ArticleJAMA network open2020

Rates of Brain Atrophy Across Disease Stages in Familial Frontotemporal Dementia Associated With MAPT, GRN, and C9orf72 Pathogenic Variants.

Adam M Staffaroni, Sheng-Yang M Goh, Yann Cobigo, Elise Ong, Suzee E Lee, Kaitlin B Casaletto, Amy Wolf, Leah K Forsberg, Nupur Ghoshal, Neill R Graff-Radford and 18 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Composite grey matter fingerprints for genetic frontotemporal dementia.Journal of neurology, neurosurgery, and psychiatry · 2026
    Article
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  11. Review
  12. Gene specific effects on brain volume and cognition ofmedRxiv : the preprint server for health sciences · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Frontotemporal lobar degeneration.Nature reviews. Disease primers · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors at 9 institutions in 2 countries.

Adam M StaffaroniDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Sheng-Yang M GohDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Yann CobigoDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Elise OngDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Suzee E LeeDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Kaitlin B CasalettoDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Amy WolfDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Leah K ForsbergDepartment of Neurology, College of Medicine, Mayo Clinic, Rochester, Minnesota.
Nupur GhoshalDepartment of Neurology, Washington University School of Medicine in St Louis, St Louis, Missouri.
Neill R Graff-RadfordDepartment of Neurology, Mayo Clinic, Jacksonville, Florida.
Murray GrossmanDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Hilary W HeuerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Ging-Yuek R HsiungDivision of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Kejal KantarciDepartment of Radiology, College of Medicine, Mayo Clinic, Rochester, Minnesota.
David S KnopmanDepartment of Neurology, College of Medicine, Mayo Clinic, Rochester, Minnesota.
Walter K KremersDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
Ian R MackenzieDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Bruce L MillerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Otto PedrazaDepartment of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida.
Katya RascovskyDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
M Carmela TartagliaDivision of Neurology, Department of Medicine, Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.
Zbigniew K WszolekDepartment of Neurology, Mayo Clinic, Jacksonville, Florida.
Joel H KramerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
John KornakDepartment of Epidemiology and Biostatistics, Memory and Aging Center, University of California, San Francisco.
Bradley F BoeveDepartment of Neurology, College of Medicine, Mayo Clinic, Rochester, Minnesota.
Adam L BoxerDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Howard J RosenDepartment of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
ARTFL-LEFFTDS Longitudinal Frontotemporal Lobar Degeneration Consortium
University of California, San Francisco · USMayo Clinic · USJacksonville College · USMayo Clinic in Florida · USUniversity of British Columbia · CAUniversity of Pennsylvania · USUniversity Memory and Aging Center · USUniversity of Toronto · CAWashington University in St. Louis · US

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Serggio Carlo Lanata · 2019 to 2026
$36.9M
Understanding Environmental Contributions to Heterogeneity in bvFTD.P01AG066597 · NIA · UNIVERSITY OF PENNSYLVANIA · PI David John Irwin, Corey T McMillan · 2020 to 2026
$18.8M
Defining trajectories of dynamic biomarkers for C9ORF72 repeat expansion carriersR01AG058233 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, SUZEE EURIE · 2018 to 2022
$3.2M
PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential DiagnosisR01AG055121 · NIA · OHIO STATE UNIVERSITY · PI ROSEN, HOWARD J, WANG, LEI · 2017 to 2020
$2.8M
Multimodal Imaging in Frontotemporal DegenerationK24AG045333 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2013 to 2023
$1.9M
Optimizing Clinical Trial Endpoints in Frontotemporal DementiaK23AG061253 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STAFFARONI, ADAM MARK · 2019 to 2023
$946k
NIA NIH HHS K23 AG061253NIA NIH HHS K24 AG045333NIA NIH HHS P01 AG019724NIA NIH HHS P01 AG066597NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG055121NIA NIH HHS R01 AG058233NIA NIH HHS U24 AG021886
6 · The paper itself

Abstract

Importance: Several clinical trials are planned for familial forms of frontotemporal lobar degeneration (f-FTLD). Precise modeling of brain atrophy in f-FTLD could improve the power to detect a treatment effect. Objective: To characterize regions and rates of atrophy in the 3 primary f-FTLD genetic groups (MAPT, GRN, and C9orf72) across all disease stages from asymptomatic to dementia. Design, Setting, and Participants: This investigation was a case-control study of participants enrolled in the Advancing Research and Treatment for Frontotemporal Lobar Degeneration or Longitudinal Evaluation of Familial Frontotemporal Dementia studies. The study took place at 18 North American academic medical centers between January 2009 and September 2018. Participants with f-FTLD (n = 100) with a known pathogenic variant (MAPT [n = 28], GRN [n = 33], or C9orf72 [n = 39]) were grouped according to disease stage (ie, Clinical Dementia Rating [CDR] plus National Alzheimer's Coordinating Center [NACC] FTLD module). Included were participants with at least 2 structural magnetic resonance images at presymptomatic (CDR + NACC FTLD = 0 [n = 57]), mild or questionable (CDR + NACC FTLD = 0.5 [n = 15]), or symptomatic (CDR + NACC FTLD = ≥1 [n = 28]) disease stages. The control group included family members of known pathogenic variant carriers who did not carry the pathogenic variant (n = 60). Main Outcomes and Measures: This study fitted bayesian linear mixed-effects models in each voxel of the brain to quantify the rate of atrophy in each of the 3 genes, at each of the 3 disease stages, compared with controls. The study also analyzed rates of clinical decline in each of these groups, as measured by the CDR + NACC FTLD box score. Results: The sample included 100 participants with f-FTLD with a known pathogenic variant (mean [SD] age, 50.48 [13.78] years; 53 [53%] female) and 60 family members of known pathogenic variant carriers who did not carry the pathogenic variant (mean [SD] age, 47.51 [12.43] years; 36 [60%] female). MAPT and GRN pathogenic variants were associated with increased rates of volume loss compared with controls at all stages of disease. In MAPT pathogenic variant carriers, statistically significant regions of accelerated volume loss compared with controls were identified in temporal regions bilaterally in the presymptomatic stage, with global spread in the symptomatic stage. For example, mean [SD] rates of atrophy in the left temporal were -231 [47] mm3 per year during the presymptomatic stage, -381 [208] mm3 per year during the mild stage, and -1485 [1025] mm3 per year during the symptomatic stage (P < .05). GRN pathogenic variant carriers generally had minimal increases in atrophy rates between the presymptomatic and mild stages, with rapid increases in atrophy rates in the symptomatic stages. For example, in the right frontal lobes, annualized volume loss was -267 [81] mm3 per year in the presymptomatic stage and -182 [90] mm3 per year in the mild stage, but -1169 [555] mm3 per year in the symptomatic stage. Compared with the other groups, C9orf72 expansion carriers showed minimal increases in rate of volume loss with disease progression. For example, the mean (SD) annualized rates of atrophy in the right frontal lobe in C9orf72 expansion carriers was -272 (118) mm3 per year in presymptomatic stages, -310 (189) mm3 per year in mildly symptomatic stages, and -251 (145) mm3 per year in symptomatic stages. Conclusions and Relevance: These findings are relevant to clinical trial planning and suggest that the mechanism by which C9orf72 pathogenic variants lead to symptoms may be fundamentally different from the mechanisms associated with other pathogenic variants.

Indexed as

AdultAgedC9orf72 ProteinFemaleFrontotemporal DementiaGenetic TestingHumansMaleMiddle AgedProgranulinstau ProteinsC9orf72 ProteinC9orf72 protein, humanGRN protein, humanMAPT protein, humanProgranulinstau Proteins

Identifiers

PMID33112398
PMCPMC7593814
OpenAlexW3096311199

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.