Cited by 146Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

The DOI matches its Crossref record; 65 of the 66 references it cites were found in a registry or an index.

Shapes of the Trajectories of 5 Major Biomarkers of Alzheimer Disease

Open access

Abstract

OBJECTIVE: To characterize the shape of the trajectories of Alzheimer disease biomarkers as a function of Mini-Mental State Examination (MMSE) score. DESIGN AND SETTING: Longitudinal registries from the Mayo Clinic and the Alzheimer's Disease Neuroimaging Initiative. PATIENTS: Two different samples (n = 343 and n = 598) were created that spanned the cognitive spectrum from normal to Alzheimer disease dementia. Subgroup analyses were performed in members of both cohorts (n = 243 and n = 328) who were amyloid positive at baseline. MAIN OUTCOME MEASURES: The shape of biomarker trajectories as a function of MMSE score, adjusted for age, was modeled and described as baseline (cross-sectional) and within-subject longitudinal effects. Biomarkers evaluated were cerebrospinal fluid (CSF) Aβ42 and tau levels, amyloid and fluorodeoxyglucose positron emission tomography imaging, and structural magnetic resonance imaging. RESULTS: Baseline biomarker values generally worsened (ie, nonzero slope) with lower baseline MMSE score. Baseline hippocampal volume, amyloid positron emission tomography, and fluorodeoxyglucose positron emission tomography values plateaued (ie, nonlinear slope) with lower MMSE score in 1 or more analyses. Longitudinally, within-subject rates of biomarker change were associated with worsening MMSE score. Nonconstant within-subject rates (deceleration) of biomarker change were found in only 1 model. CONCLUSIONS: Biomarker trajectory shapes by MMSE score were complex and were affected by interactions with age and APOE status. Nonlinearity was found in several baseline effects models. Nonconstant within-subject rates of biomarker change were found in only 1 model, likely owing to limited within-subject longitudinal follow-up. Creating reliable models that describe the full trajectories of Alzheimer disease biomarkers will require significant additional longitudinal data in individual participants.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/archneurol.2011.3405

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 66 references

1 of the 66 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. [10]Mintun MA Larossa GN Sheline YI [11C]PIB in a nondemented population: potential antecedent marker of Alzheimer disease Neurology 2006 67 446 452 16894106
  2. [66]Sperling RA Aisen PS Beckett LA Toward defining the preclinical stages of Alzheimer's disease: Recommendations from the National Institute on Aging and the Alzheimer Assocation Workgroup Alzheimers Dement 2011 PMC3220946 21514248

Cited by

Sorted by citations

Items 101–146 of 146

Metadata

Authors
Jack, C. R., Vemuri, P., Wiste, H. J., Weigand, S. D., Lesnick, T. G., Lowe, V., Kantarci, K., Bernstein, M. A., Senjem, M. L., Gunter, J. L., Boeve, B. F., Trojanowski, J. Q., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., Knopman, D. S., & Alzheimer's Disease Neuroimaging Initiative, F. T.
Affiliations
  • Mayo Clinic (US)
  • University of Pennsylvania (US)
  • University of California San Diego (US)
  • University of California, San Francisco (US)
Corresponding author
Jack, Clifford R.
Venue
Archives of Neurology
Published
2012-07-01
Volume
69
Issue
7
Pages
856-67
ISSN
0003-9942 (ISSN-L)
OpenAlex
W2014117421
Cited by
145
References
66
Citations by year
2026: 12 · 2025: 3 · 2024: 7 · 2023: 2 · 2022: 3 · 2021: 7 · 2020: 17 · 2019: 6 · 2018: 9 · 2017: 10 · 2016: 9 · 2015: 11 · 2014: 20 · 2013: 23 · 2012: 6
FWCI
13.71
Type
journal article
Language
en
Open access
Locations
  • Archives of Neurology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • Mayo Foundation for Medical Education and Research (AG16574)
  • National Institutes of Health (5u01ag024904-10)
  • National Institute on Aging (U01-AG-024904, R01AG11378, P50‐AG16574, U01AG06786, U01AG006786, R01AG011378, U19AG010483, R01AG041851, P50AG016574)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
Keywords
Alzheimer's disease, biomarker trajectories, Mini-Mental State Examination, cerebrospinal fluid amyloid-beta 42, tau protein, amyloid PET, FDG-PET, hippocampal volume, apolipoprotein E, cognitive decline, amyloid-positive
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Amyloid, Aniline Compounds, Cognition Disorders, Cross-Sectional Studies, Female, Hippocampus, Humans, Immunoassay, Magnetic Resonance Imaging, Male, Mental Status Schedule, Peptide Fragments, Thiazoles, Cohort Studies, Biomarkers, Amyloid beta-Peptides, tau Proteins, Nonlinear Dynamics, Fluorodeoxyglucose F18, Positron-Emission Tomography, Apolipoprotein E4

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review