Evidence map›Paper›PMID 40923890›Full record

ArticleRadiology2025

Susceptibility MRI Helps Predict Mild Cognitive Impairment Onset and Cognitive Decline in Cognitively Unimpaired Older Adults.

Lin Chen, Anja Soldan, Andreia Faria, Marilyn Albert, Peter C M van Zijl, Xu Li, BIOCARD Study Team

Abstract read
In one paragraph

Article in Radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Lin ChenDepartment of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Md.ORCID 0009-0007-2793-2018
Anja SoldanDepartment of Neurology, Johns Hopkins University, Baltimore, Md.ORCID 0000-0002-6193-0418
Andreia FariaDepartment of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Md.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University, Baltimore, Md.
Peter C M van ZijlDepartment of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Md.
Xu LiDepartment of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Md.ORCID 0000-0002-4350-3375
BIOCARD Study Team

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Mei Cheng Wang · 2014 to 2026
$51.5M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 1985 to 2019
$37.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Biomarkers of Cognitive Decline among Normal Individuals: The BIOCARD cohortU01AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 2009 to 2013
$11.2M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Contribution of Cerebral Iron Load to Cognitive Function in Older Adults with High Risk to Develop Alzheimer's DiseaseR01AG063842 · NIA · JOHNS HOPKINS UNIVERSITY · PI LI, XU, QIAO, YE · 2020 to 2024
$2.5M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
Contributions of local cerebral iron to cognitive decline during aging and preclinical Alzheimer's diseaseR03AG065527 · NIA · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI LI, XU · 2020 to 2021
$162k
NIA NIH HHS P30 AG066507NIA NIH HHS P50 AG005146NIA NIH HHS R01 AG063842NIA NIH HHS R03 AG065527NIA NIH HHS U01 AG033655NIA NIH HHS U19 AG033655NIBIB NIH HHS P41 EB015909NIBIB NIH HHS P41 EB031771NIH HHS S10 OD021648
6 · The paper itself

Abstract

Background Elevated brain iron is a potential marker for neurodegeneration, but its role in predicting onset of mild cognitive impairment (MCI) and prospective cognitive trajectories remains unclear. Purpose To investigate how brain iron and amyloid-β (Aβ) levels, measured using quantitative susceptibility mapping (QSM) MRI and PET, help predict MCI onset and cognitive decline. Materials and Methods In this prospective study conducted between January 2015 and November 2022, cognitively unimpaired older adults underwent baseline QSM MRI. Among the majority with baseline PET data (PET subgroup), cortical Aβ burden was measured. Cox regression and linear mixed-effects models were used to examine associations between baseline tissue susceptibility and time to MCI onset and changes in cognitive scores over time. Results A total of 158 cognitively unimpaired older adults (mean age, 69.5 years ± 8.1 [SD]; 99 women), including 110 individuals (mean age, 68.5 years ± 8.5; 69 women) with data from a PET examination, were evaluated at baseline and followed for up to 7.7 years. Higher baseline susceptibility in the entorhinal cortex and putamen was associated with an increased risk for MCI onset in the overall group and in the PET subgroup (entorhinal cortex, overall group vs PET subgroup: hazard ratio, 2.00 [95% CI: 1.23, 3.23;

Indexed as

Cognitive DysfunctionMagnetic Resonance ImagingAgedAged, 80 and overAmyloid beta-PeptidesBrainFemaleHumansIronMaleMiddle AgedPositron-Emission TomographyPredictive Value of TestsProspective StudiesAmyloid beta-PeptidesIron

Identifiers

PMID40923890
PMCPMC12501624

What OpenQuestion holds

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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.