Evidence map›Paper›PMID 39145979›Full record

ArticleJAMA network open2024

Neuroimaging and Clinical Findings in Healthy Middle-Aged Adults With Mild Traumatic Brain Injury in the PREVENT Dementia Study.

Audrey Low, Elizabeth McKiernan, Maria A Prats-Sedano, Stephen F Carter, James D Stefaniak, Li Su, Maria-Eleni Dounavi, Graciela Muniz-Terrera, Natalie Jenkins, Katie Bridgeman and 12 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

22 authors.

Audrey LowDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Elizabeth McKiernanDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Maria A Prats-SedanoDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Stephen F CarterDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
James D StefaniakDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Li SuDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Maria-Eleni DounaviDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Graciela Muniz-TerreraEdinburgh Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom.
Natalie JenkinsEdinburgh Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom.
Katie BridgemanEdinburgh Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom.
Karen RitchieINSERM, Montpellier, France.
Brian LawlorInstitute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, Ireland.
Lorina NaciInstitute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, Ireland.
Paresh MalhotraDivision of Brain Science, Imperial College Healthcare NHS Trust, London, United Kingdom.
Clare MackayDepartment of Psychiatry, Oxford University, Oxford, United Kingdom.
Ivan KoychevDepartment of Psychiatry, Oxford University, Oxford, United Kingdom.
Tony ThayanandanDepartment of Psychiatry, Oxford University, Oxford, United Kingdom.
Vanessa RaymontDepartment of Psychiatry, Oxford University, Oxford, United Kingdom.
Craig W RitchieEdinburgh Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom.
William StewartSchool of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom.
John T O'BrienDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
PREVENT Dementia Investigators

Funding

Data Coordinating CoreU54NS115322 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SMITH, DOUGLAS HAMILTON · 2019 to 2023
$9.2M
Transdisciplinary Research Accelerating Neuropathology Studies and Facilitating Open Research Methods in TBI (TRANSFORM-TBI)U01NS137500 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Edward Byung-Ha Lee, Douglas Hamilton Smith · 2024 to 2026
$5.8M
Neuropathological Characterization of 'CTE'R01NS094003 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Douglas Hamilton Smith, William Stewart · 2016 to 2026
$5.1M
Mechanisms of Chronic Progressive Axon Degeneration Following TBIR01NS123034 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Daniel Kacy Cullen, Douglas Hamilton Smith · 2022 to 2026
$1.9M
Medical Research Council MR/Y008502/1NINDS NIH HHS R01 NS094003NINDS NIH HHS R01 NS123034NINDS NIH HHS U01 NS137500NINDS NIH HHS U54 NS115322
6 · The paper itself

Abstract

Importance: Traumatic brain injuries (TBI) represent an important, potentially modifiable risk factor for dementia. Despite frequently observed vascular imaging changes in individuals with TBI, the relationships between TBI-associated changes in brain imaging and clinical outcomes have largely been overlooked in community cases of TBI. Objective: To assess whether TBI are associated with and interact with midlife changes in neuroimaging and clinical features in otherwise healthy individuals. Design, Setting, and Participants: This cross-sectional analysis used baseline data from the PREVENT Dementia program collected across 5 sites in the UK and Ireland between 2014 and 2020. Eligible participants were cognitively healthy midlife adults aged between 40 and 59 years. Data were analyzed between January 2023 and April 2024. Exposure: Lifetime TBI history was assessed using the Brain Injury Screening Questionnaire. Main Outcomes and Measures: Cerebral microbleeds and other markers of cerebral small vessel disease (white matter hyperintensities [WMH], lacunes, perivascular spaces) were assessed on 3T magnetic resonance imaging. Clinical measures were cognition, sleep, depression, gait, and cardiovascular disease (CVD) risk, assessed using Computerized Assessment of Information Processing (COGNITO), Pittsburgh Sleep Quality Index, Center for Epidemiologic Studies Depression Scale, clinical interviews, and the Framingham Risk Score, respectively. Results: Of 617 participants (median [IQR] age, 52 [47-56] years; 380 female [61.6%]), 223 (36.1%) had a history of TBI. TBI was associated with higher microbleed count (β = 0.10; 95% CI, 0.01-0.18; P = .03), with a dose-response association observed with increasing number of TBI events (β = 0.05; 95% CI, 0.01-0.09; P = .03). Conversely, TBI was not associated with other measures of small vessel disease, including WMH. Furthermore, TBI moderated microbleed associations with vascular risk factors and clinical outcomes, such that associations were present only in the absence of TBI. Importantly, observations held when analyses were restricted to individuals reporting only mild TBI. Conclusions and Relevance: In this cross-sectional study of healthy middle-aged adults, detectable changes in brain imaging and clinical features were associated with remote, even mild, TBI in the general population. The potential contribution of vascular injury to TBI-related neurodegeneration presents promising avenues to identify potential targets, with findings highlighting the need to reduce TBI through early intervention and prevention in both clinical care and policymaking.

Indexed as

DementiaNeuroimagingAdultBrain ConcussionBrain Injuries, TraumaticCross-Sectional StudiesFemaleHumansIrelandMagnetic Resonance ImagingMaleMiddle AgedRisk FactorsUnited Kingdom

Identifiers

PMID39145979
PMCPMC11327885

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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.