Evidence map›Paper›PMID 33966498›Full record

ArticleStroke2021

Cerebral Microbleeds: Relationship to Antithrombotic Medications.

Jonathan Graff-Radford, Timothy Lesnick, Alejandro A Rabinstein, Jeffrey L Gunter, Scott A Przybelski, Peter A Noseworthy, Gregory M Preboske, Michelle M Mielke, Val J Lowe, David S Knopman and 5 more

Open access · greenAbstract read
In one paragraph

Article in Stroke, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

15 authors at 2 institutions in 1 country.

Jonathan Graff-RadfordDepartment of Neurology (J.G.-R., A.A.R., M.M.M., D.S.K., R.C.P.S), Mayo Clinic, Rochester, MN.
Timothy LesnickDepartment of Health Sciences Research (T.L., S.A.P., M.M.M., W.K.K.), Mayo Clinic, Rochester, MN.
Alejandro A RabinsteinDepartment of Neurology (J.G.-R., A.A.R., M.M.M., D.S.K., R.C.P.S), Mayo Clinic, Rochester, MN.
Jeffrey L GunterDepartment of Radiology (J.L.G., G.M.P., V.J.L., C.R.J., P.V., K.K.), Mayo Clinic, Rochester, MN.
Scott A PrzybelskiDepartment of Health Sciences Research (T.L., S.A.P., M.M.M., W.K.K.), Mayo Clinic, Rochester, MN.
Peter A NoseworthyDepartment of Cardiology (P.A.N.), Mayo Clinic, Rochester, MN.
Gregory M PreboskeDepartment of Radiology (J.L.G., G.M.P., V.J.L., C.R.J., P.V., K.K.), Mayo Clinic, Rochester, MN.
Michelle M MielkeDepartment of Neurology (J.G.-R., A.A.R., M.M.M., D.S.K., R.C.P.S), Mayo Clinic, Rochester, MN.
Val J LoweDepartment of Radiology (J.L.G., G.M.P., V.J.L., C.R.J., P.V., K.K.), Mayo Clinic, Rochester, MN.
David S KnopmanDepartment of Neurology (J.G.-R., A.A.R., M.M.M., D.S.K., R.C.P.S), Mayo Clinic, Rochester, MN.
Ronald C PetersenDepartment of Neurology (J.G.-R., A.A.R., M.M.M., D.S.K., R.C.P.S), Mayo Clinic, Rochester, MN.
Walter K KremersDepartment of Health Sciences Research (T.L., S.A.P., M.M.M., W.K.K.), Mayo Clinic, Rochester, MN.
Clifford R JackDepartment of Radiology (J.L.G., G.M.P., V.J.L., C.R.J., P.V., K.K.), Mayo Clinic, Rochester, MN.
Prashanthi VemuriDepartment of Radiology (J.L.G., G.M.P., V.J.L., C.R.J., P.V., K.K.), Mayo Clinic, Rochester, MN.
Kejal KantarciDepartment of Radiology (J.L.G., G.M.P., V.J.L., C.R.J., P.V., K.K.), Mayo Clinic, Rochester, MN.
Mayo Clinic in Arizona · USMayo Clinic · US

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI John Lucas · 2019 to 2026
$33.5M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
Optimizing stroke prevention for older adults with atrial fibrillation: Towards rigorous evaluation and judicious application of a new deviceR01AG062436 · NIA · MAYO CLINIC ROCHESTER · PI NOSEWORTHY, PETER A, YAO, XIAOXI · 2020 to 2024
$2.5M
Cerebral Microbleeds in the Aging PopulationK76AG057015 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN · 2017 to 2021
$1.2M
NIA NIH HHS K76 AG057015NIA NIH HHS P30 AG062677NIA NIH HHS P50 AG016574NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG062436NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG006786NINDS NIH HHS R01 NS097495
6 · The paper itself

Abstract

Background and Purpose: Cerebral microbleeds (CMBs) are represented by small areas of hemosiderin deposition, detected on brain magnetic resonance imaging (MRI), and found in ≈23% of the cognitively normal population over age of 60 years. CMBs predict risk of hemorrhagic and ischemic stroke. They correlate with increased cardiovascular mortality. In this article, we sought to determine in a population-based study whether antithrombotic medications correlate with CMBs and, if present, whether the association was direct or mediated by another variable. Methods: The study consisted of 1253 participants from the population-based Mayo Clinic Study of Aging who underwent T2* gradient-recalled echo magnetic resonance imaging. We tested the relationship between antithrombotic medications and CMB presence and location, using multivariable logistic-regression models. Ordinal logistic models tested the relationship between antithrombotics and CMB frequency. Using structural equation models, we assessed the effect of antithrombotic medications on presence/absence of CMBs and count of CMBs in the CMB-positive group, after considering the effects of age, sex, vascular risk factors, amyloid load by positron emission tomography, and apoE. Results: Two hundred ninety-five participants (26.3%) had CMBs. Among 678 participants taking only antiplatelet medications, 185 (27.3%) had CMBs. Among 95 participants taking only an anticoagulant, 43 (45.3%) had CMBs. Among 44 participants taking an anticoagulant and antiplatelet therapy, 21 (48.8%) had CMBs. Anticoagulants correlated with the presence and frequency of CMBs, whereas antiplatelet agents were not. Structural equation models showed that predictors for presence/absence of CMBs included older age at magnetic resonance imaging, male sex, and anticoagulant use. Predictors of CMB count in the CMB-positive group were male sex and amyloid load. Conclusions: Anticoagulant use correlated with presence of CMBs in the general population. Amyloid positron emission tomography correlated with the count of CMBs in the CMB-positive group.

Indexed as

AgedAged, 80 and overCerebral HemorrhageCohort StudiesFemaleFibrinolytic AgentsHumansMagnetic Resonance ImagingMaleMicrovesselsPositron-Emission TomographyFibrinolytic Agentsanticoagulantshemorrhageischemic strokemagnetic resonance imagingpositron emission tomography

Identifiers

PMID33966498
PMCPMC8238866
OpenAlexW3163670771

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.