Evidence map›Paper›PMID 34288226›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2021

Prevalence of incidental brain MRI findings of clinical relevance in a diverse Hispanic/Latino population.

Vladimir Ivanovic, Stephan Seiler, Wassim Tarraf, Emily Crivello, Oliver Martinez, Richard B Lipton, Carmen R Isasi, Tatiana Gomez Copello, Gregory A Talavera, Linda C Gallo and 8 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Overview of ADNI MRI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Review
  5. Brain imaging with portable low-field MRI.Nature reviews bioengineering · 2023
    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

18 authors at 8 institutions in 1 country.

Vladimir IvanovicDepartment of Radiology, University of California Davis School of Medicine, Sacramento, CA, USA.ORCID 0000-0002-8365-0468
Stephan SeilerDepartment of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA.
Wassim TarrafWayne State University, Institute of Gerontology, Detroit, MI, USA.
Emily CrivelloDepartment of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA.
Oliver MartinezDepartment of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA.
Richard B LiptonDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Carmen R IsasiDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Tatiana Gomez CopelloDepartment of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Gregory A TalaveraDepartment of Psychology, San Diego State University, San Diego, CA, USA.
Linda C GalloDepartment of Psychology, San Diego State University, San Diego, CA, USA.
Melissa LamarDepartment of Psychiatry & Behavioral Sciences, Rush University Medical Center, Rush Alzheimer's Disease Center, Chicago, IL, USA.
Fernando TestaiDepartment of Neurology, University of Illinois at Chicago, Chicago, IL, USA.
Neil SchneidermanDepartment of Psychology, University of Miami, Miami, FL, USA.
Marc D GellmanDepartment of Psychology, University of Miami, Miami, FL, USA.
Martha DaviglusUniversity of Illinois at Chicago, Institute for Minority Health Research, Chicago, IL, USA.
Hector M GonzalezDepartment of Neurosciences, Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, San Diego, CA, USA.
Charles DeCarliDepartment of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA.
Michael L LiptonDepartments of Radiology, Psychiatry and Behavioral Sciences and The Dominick P Purpura Department of Neuroscience, Albert Einstein College of Medicine and Montefiore Health System, Bronx, NY, USA.
University of California, Davis · USAlbert Einstein College of Medicine · USSan Diego State University · USUniversity of Illinois Chicago · USUniversity of Miami · USRush University Medical Center · USUniversity of California San Diego · USWayne State University · US

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEE-WAY JIN · 2021 to 2026
$25.2M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Sudha Seshadri · 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
MRI Measures of Cerebrovascular Injury and AD Atrophy in a Study of LatinosRF1AG054548 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DECARLI, CHARLES, GONZALEZ, HECTOR M · 2017 to 2017
$14.7M
Study of Latinos Investigation of Neurocognitive Aging 2R56AG048642 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DECARLI, CHARLES, GONZALEZ, HECTOR M · 2020 to 2021
$8.7M
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 P30 AG010129NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072972NIA NIH HHS R56 AG048642NIA NIH HHS RF1 AG054548NIA NIH HHS U01 AG052409NINDS NIH HHS R01 NS017950
6 · The paper itself

Abstract

background and purposeThere is limited literature on the prevalence of incidental brain MRI findings in the Hispanic/Latino population, despite their increased prevalence of vascular disease and undertreatment of chronic conditions. The purpose of our study was to determine the prevalence of clinically relevant incidental findings on brain MRI examinations obtained as a part of the Study of Latinos-Investigation of NeuroCognitive Aging MRI (SOL-INCA-MRI) study.

methodsBrain MRI examinations were obtained on 1389 participants in the SOL-INCA-MRI study, a cross-sectional ancillary study of the Hispanic Community Health Study, Study of Latinos, which is a longitudinal, community-based study. Study design of SOL-INCA-MRI involves imaging cognitively normal and participants with mild cognitive impairment. Brain MRI findings were categorized as Level 1 (normal), Level 1.5 (findings of unclear medical significance), Level 2 (potential medical concern), or Level 3 (medically urgent). This article focuses on Level 2 and Level 3 findings.

resultsThe average age of the sample was 60.8 years (+/- 10.3 years), 66.1% were females. Level 2 and 3 findings were identified in 117 participants, (8.4%), of which 109 (7.8%) were recommended for medical follow-up (Level 2), and 8 (0.6%) were recommended for immediate medical attention (Level 3). Brain MRI findings consisted of chronic infarction in 33 (2.4%), vascular abnormality in 27 (1.9%), intracranial mass in 20 (1.4%), other intracranial findings in 28 (2.0%), and skull base/extracranial findings in 26 (1.9%) patients.

conclusionIncidental findings of clinical relevance were common among SOL-INCA-MRI participants, but rarely required urgent medical intervention.

Indexed as

Hispanic or LatinoMagnetic Resonance ImagingBrainCross-Sectional StudiesFemaleHumansIncidental FindingsMiddle AgedPrevalenceRisk Factorsbrain MRIcommunity population studyHispanicincidental findings

Identifiers

PMID34288226
PMCPMC10332335
OpenAlexW3183480548

What OpenQuestion holds

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Registered trials

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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.