Evidence map›Paper›PMID 40264461›Full record

ArticleFrontiers in aging neuroscience2025

Predictors of white matter hyperintensities in the elderly Congolese population.

Emile Omba Yohe, Alvaro Alonso, Daniel L Drane, Saranya Sundaram Patel, Megan Schwinne, Emmanuel Epenge, Guy Gikelekele, Esambo Herve, Immaculee Kavugho, Nathan Tshengele and 7 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Emile Omba YoheDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Alvaro AlonsoDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Daniel L DraneDepartments of Neurology and Pediatrics, Emory University School of Medicine, Atlanta, GA, United States.
Saranya Sundaram PatelDepartment of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, United States.
Megan SchwinneDepartment of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.
Emmanuel EpengeDepartment of Neurology, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Guy GikelekeleDepartment of Psychiatry, School of Medicine, University of Kinshasa and Catholic University of Congo, Kinshasa, Democratic Republic of Congo.
Esambo HerveDepartment of Neurology, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Immaculee KavughoMemory Clinic of Kinshasa, Kinshasa, Democratic Republic of Congo.
Nathan TshengeleDepartment of Psychiatry, School of Medicine, University of Kinshasa and Catholic University of Congo, Kinshasa, Democratic Republic of Congo.
Samuel MampunzaDepartment of Psychiatry, School of Medicine, University of Kinshasa and Catholic University of Congo, Kinshasa, Democratic Republic of Congo.
Lelo ManangaDepartment of Neurology, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Liping ZhaoDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Deqiang QiuDepartment of Radiology and Imaging Sciences & Department of Biomedical Engineering, School of Medicine, Emory University, Atlanta, GA, United States.
Anthony StringerDepartment of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, United States.
Amit M SaindaneDepartments of Radiology and Imaging Sciences and Neurosurgery, Emory University School of Medicine, Atlanta, GA, United States.
Jean N IkangaDepartment of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, United States.

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
The Goizueta Alzheimer's Disease Research CenterP30AG066511 · NIA · EMORY UNIVERSITY · PI Deqiang Qiu · 2020 to 2026
$29.0M
Dissecting the Cognitive Roles of Hippocampus, Other Temporal Lobe StructuresR01NS088748 · NINDS · EMORY UNIVERSITY · PI DRANE, DANIEL L · 2014 to 2024
$6.4M
Cerebral hemodynamic impairment in symptomatic and asymptomatic Alzheimer's DiseaseR01AG072603 · NIA · EMORY UNIVERSITY · PI Deqiang Qiu · 2022 to 2026
$3.8M
Explainable and Ethical AI for Studying Alzheimer's DiseaseR01AG089806 · NIA · EMORY UNIVERSITY · PI JAMES J LAH, Deqiang Qiu · 2024 to 2026
$2.1M
Mentoring in patient-oriented atrial fibrillation and cardiovascular researchK24HL148521 · NHLBI · EMORY UNIVERSITY · PI ALONSO, ALVARO · 2019 to 2023
$593k
NCATS NIH HHS UL1 TR002378NHLBI NIH HHS K24 HL148521NIA NIH HHS P30 AG066511NIA NIH HHS R01 AG072603NIA NIH HHS R01 AG089806NINDS NIH HHS R01 NS088748
6 · The paper itself

Abstract

Introduction: White matter hyperintensities (WMHs) are strongly linked to cardiovascular risk factors and other health conditions such as Alzheimer's disease. However, there is a dearth of research on this topic in low-income countries and underserved populations, especially in the Democratic Republic of Congo (DRC) where the population is aging rapidly with increasing cardiovascular risk factors and dementia-related diseases. This study evaluates health factors associated with WMH in the elderly Sub-Saharan Africa (SSA), specifically Congolese adults. Methods: In a cross-sectional study of 77 people from the DRC, participants underwent neuroimaging to analyze WMHs volume and completed clinical evaluation, laboratory-based blood exams, self-reported questionnaires, and interviews. A simple linear regression model was conducted to test the association between WMHs and potential predictors (dementia, age, sex, hypertension, diabetes, tobacco abuse, stroke, high cholesterol, cardiovascular medication, and alcohol abuse). Stepwise selection and backward elimination analyses were performed to obtain the final model. Finally, a multiple linear regression model was conducted to assess the association between WMHs and variables retained in the final model (dementia, sex, and age). Results: Of the 77 individuals, 47 (61%) had dementia, 40 (52.6%) were males, and the mean age was 73 years (± 8.0 years standard deviation). In simple linear regression models, WMHs was significantly associated with dementia (expβ1 = 1.75, 95% CI = 1.14-2.71, Discussion: WMHs is significantly associated with dementia, sex, and age in the Congolese population. Understanding these predictors may improve our ability to diagnose, assess, and develop preventative treatments for white matter disease in SSA/DRC populations, where neuroimaging is difficult to obtain.

Indexed as

cardiovascular risk factorscerebral small vessel diseasecerebrovascular diseaseCongodementiasub-Saharan Africawhite matter diseasewhite matter hyperintensities

Identifiers

PMID40264461
PMCPMC12011861

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.