Evidence map›Paper›PMID 38800122›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Prediction of dementia risk from multimodal repeated measures: The added value of brain MRI biomarkers.

Ariane Bercu, Carole Dufouil, Stéphanie Debette, Marc Joliot, Ami Tsuchida, Catherine Helmer, Anthony Devaux, Vincent Bouteloup, Cécile Proust-Lima, Hélène Jacqmin-Gadda

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). 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
–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

5 citing papers in PubMed.

  1. Observational
  2. Brain magnetic resonance imaging biomarkers for future frailty; sub-study of FINGER trial.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Observational
  3. Article
  4. Article
  5. 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

10 authors.

Ariane BercuUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.
Carole DufouilUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.
Stéphanie DebetteUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.
Marc JoliotGroupe d'Imagerie Neurofonctionelle-Institut des maladies neurodégénératives (GIN-IMN) UMR 5293 Bordeaux University CNRS, CEA Bordeaux Cedex France.
Ami TsuchidaUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.
Catherine HelmerUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.
Anthony DevauxUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.
Vincent BouteloupUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.
Cécile Proust-LimaUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.
Hélène Jacqmin-GaddaUniversity of Bordeaux, Inserm Bordeaux Population Health Research Center U1219 Bordeaux Cedex France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abstract: The utility of brain magnetic resonance imaging (MRI) for predicting dementia is debated. We evaluated the added value of repeated brain MRI, including atrophy and cerebral small vessel disease markers, for dementia prediction. We conducted a landmark competing risk analysis in 1716 participants of the French population-based Three-City Study to predict the 5-year risk of dementia using repeated measures of 41 predictors till year 4 of follow-up. Brain MRI markers improved significantly the individual prediction of dementia after accounting for demographics, health measures, and repeated measures of cognition and functional dependency (area under the ROC curve [95% CI] improved from 0.80 [0.79 to 0.82] to 0.83 [0.81 to 0.84]). Nonetheless, accounting for the change over time through repeated MRIs had little impact on predictive abilities. These results highlight the importance of multimodal analysis to evaluate the added predictive abilities of repeated brain MRI for dementia and offer new insights into the predictive performances of various MRI markers. Highlights: We evaluated whether repeated brain volumes and cSVD markers improve dementia prediction.The 5-year prediction of dementia is slightly improved when considering brain MRI markers.Measures of hippocampus volume are the main MRI predictors of dementia.Adjusted on cognition, repeated MRI has poor added value over single MRI for dementia prediction.We utilized a longitudinal analysis that considers error-and-missing-prone predictors, and competing death.

Indexed as

brain volumecognitioncompeting risksdementiahippocampal volumelandmarkmixed modelsurvivalwhite matter hyperintensities

Identifiers

PMID38800122
PMCPMC11127684

What OpenQuestion holds

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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.