Evidence map›Paper›PMID 37021572›Full record

ArticleStroke2023

Vascular Risk Predicts Plasma Amyloid β 42/40 Through Cerebral Amyloid Burden in

Shraddha Sapkota, Kelsey Erickson, Evan Fletcher, Sarah E Tomaszewski Farias, Lee-Way Jin, Charles DeCarli, Alzheimer’s Disease Neuroimaging Initiative*

Open access · hybridAbstract read
In one paragraph

Article in Stroke, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

7 authors at 2 institutions in 1 country.

Shraddha SapkotaDepartment of Neurology (S.S., E.F., S.E.T.F., C.D.), University of California, Davis.ORCID 0000-0003-4806-8939
Kelsey EricksonDepartment of Neurology (S.S., E.F., S.E.T.F., C.D.), University of California, Davis.
Evan FletcherUniversity of California, and Department of Pathology and Laboratory Medicine (K.E., L.-W.J.), University of California, Davis.ORCID 0000-0002-9761-3131
Sarah E Tomaszewski FariasDepartment of Neurology (S.S., E.F., S.E.T.F., C.D.), University of California, Davis.ORCID 0009-0009-8969-3387
Lee-Way JinUniversity of California, and Department of Pathology and Laboratory Medicine (K.E., L.-W.J.), University of California, Davis.
Charles DeCarliDepartment of Neurology (S.S., E.F., S.E.T.F., C.D.), University of California, Davis.ORCID 0000-0003-1914-2693
Alzheimer’s Disease Neuroimaging Initiative*
University of California, Davis · USNelson Engineering (United States) · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
The Aging Brain: Vasculature, Ischemia, and BehaviorP01AG012435 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VINTERS, HARRY V. · 1994 to 2012
$26.4M
UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Charles DeCarli, Rachel A Whitmer · 2021 to 2026
$25.2M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes · 2021 to 2026
$24.0M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
The impact of non-amyloid processes on cognitive agingR01AG047827 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DECARLI, CHARLES · 2014 to 2018
$2.9M
ADSP Follow-up in Multi-Ethnic Cohorts via Endophenotypes, Omics & Model SystemsU01AG052409 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2016 to 2020
$1.6M
NIA NIH HHS P01 AG012435NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072972NIA NIH HHS R01 AG047827NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG052409NINDS NIH HHS R01 NS017950
6 · The paper itself

Abstract

backgroundUnderstanding the neurobiological underpinnings between established multimodal dementia risk factors and noninvasive blood-based biomarkers may lead to greater precision and earlier identification of older adults at risk of accelerated decline and dementia. We examined whether key vascular and genetic risk impact the association between cerebral amyloid burden and plasma aβ (amyloid β) 42/40 in nondemented older adults.

methodsWe used nondemented older adults from the UCD-ADRC (University of California, Davis-Alzheimer's Disease Research Center) study (

resultsVascular risk significantly predicted cerebral amyloid burden in Alzheimer's Disease Neuroimaging Initiative but not in the UCD-ADRC cohort. Cerebral amyloid burden was associated with plasma aβ 42/40 in both cohorts. Higher vascular risk increased cerebral amyloid burden was indirectly associated with reduced plasma aβ 42/40 in Alzheimer's Disease Neuroimaging Initiative but not in UCD-ADRC cohort. However, when stratified by

conclusionsVascular risk is indirectly associated with the level of plasma aβ 42/40 via cerebral amyloid burden only in

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAgedAmyloidApolipoprotein E4BrainCross-Sectional StudiesHumansPeptide FragmentsPositron-Emission TomographyAmyloidAmyloid beta-Peptidesamyloid beta-protein (1-42)Apolipoprotein E4Peptide FragmentsEditorialslive birthmitral valve insufficiencymitral valve stenosis

Identifiers

PMID37021572
PMCPMC10121244
OpenAlexW4362656994

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.