Evidence map›Paper›PMID 39476236›Full record

ArticleJAMA network open2024

Acceleration of Brain Atrophy and Progression From Normal Cognition to Mild Cognitive Impairment.

Yuto Uchida, Kei Nishimaki, Anja Soldan, Abhay Moghekar, Marilyn Albert, Kenichi Oishi

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  18. Observational
  19. Change points for dynamic biomarkers in the Alzheimer's disease pathological cascade: A 30-year cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  20. 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

6 authors.

Yuto UchidaDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Kei NishimakiDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Anja SoldanDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Abhay MoghekarThe Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Baltimore, Maryland.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Kenichi OishiDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Abhay Moghekar · 2014 to 2026
$51.5M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI BANDEEN-ROCHE, KAREN J. · 1985 to 2019
$37.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI JUAN TRONCOSO · 2020 to 2026
$29.3M
Quantification of microstructures in the entorhinal-hippocampus pathway as a sensitive biomarker for neurodegeneration during the preclinical stage of Alzheimer's diseaseK99AG088363 · NIA · JOHNS HOPKINS UNIVERSITY · PI UCHIDA, YUTO · 2024 to 2025
$195k
NIA NIH HHS K99 AG088363NIA NIH HHS P30 AG066507NIA NIH HHS P50 AG005146NIA NIH HHS U19 AG033655
6 · The paper itself

Abstract

Importance: It remains unclear which risk factors accelerate brain atrophy along with a progression from normal cognition to mild cognitive impairment (MCI). Objective: To examine risk factors associated with the acceleration of brain atrophy and progression from normal cognition to MCI based on long-term longitudinal data for middle-aged and older adults. Design, Setting, and Participants: Data for this cohort study were extracted from the Biomarkers for Older Controls at Risk for Dementia (BIOCARD) cohort, initiated at the National Institutes of Health from January 1, 1995, to December 31, 2005, and continued at Johns Hopkins University from January 1, 2015, to October 31, 2023. All participants were cognitively normal at baseline. The participants whose structural magnetic brain imaging (MRI) of the brain and cerebrospinal fluid (CSF) measures were available for over 10 years were included. Exposures: Longitudinal structural MRI of the brain and measurement of CSF biomarkers for Alzheimer disease pathology (ratio of amyloid β peptide 42 [Aβ42] to Aβ40, tau phosphorylated at threonine 181, and total tau). Main Outcomes and Measures: Annual change rates of segmental brain volumes, Kaplan-Meier survival curves plotting time to event for progression to MCI symptom onset, and hazard ratios (HRs) determined by Cox proportional hazards regression models. Results: A total of 185 participants (mean [SD] age, 55.4 [8.4] years; 116 women [63%]) were included and followed up for a maximum of 27 years (median, 20 [IQR, 18-22] years). The groups with high levels of atrophy in the white matter and enlargement in the ventricles had an earlier progression from normal cognition to MCI symptom onset (HR for white matter, 1.86 [95% CI, 1.24-2.49]; P = .001; HR for ventricles, 1.71 [95% CI, 1.19-2.24]; P = .009). Diabetes was associated with progression to MCI (HR, 1.41 [95% CI, 1.06-1.76]; P = .04), as was a low CSF Aβ42:Aβ40 ratio (HR, 1.48 [95% CI, 1.09-1.88]; P = .04), and their combination had a higher HR of 1.55 (95% CI, 1.13-1.98]; P = .03), indicating a synergic association of diabetes and amyloid pathology with MCI progression. Conclusions and Relevance: In this cohort study of middle-aged and older adults, higher rates of volume change in the white matter and ventricles, along with the presence of diabetes and a low CSF Aβ42:Aβ40 ratio, were identified as important risk factors for the progression to MCI. These results support the importance of identifying individuals who have accelerated brain atrophy to optimize preventive strategies for progression to MCI.

Indexed as

Amyloid beta-PeptidesAtrophyBrainCognitive DysfunctionDisease ProgressionMagnetic Resonance ImagingAgedAlzheimer DiseaseBiomarkersCognitionCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedAmyloid beta-PeptidesBiomarkerstau Proteins

Identifiers

PMID39476236
PMCPMC11525609

What Socratic 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 Socratic graph.