Evidence map›Paper›PMID 37822707›Full record

ArticleFrontiers in human neuroscience2023

Fractal dimension of the cortical gray matter outweighs other brain MRI features as a predictor of transition to dementia in patients with mild cognitive impairment and leukoaraiosis.

Chiara Marzi, Riccardo Scheda, Emilia Salvadori, Antonio Giorgio, Nicola De Stefano, Anna Poggesi, Domenico Inzitari, Leonardo Pantoni, Mario Mascalchi, Stefano Diciotti

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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 at 5 institutions in 1 country.

Chiara MarziDepartment of Statistics, Computer Science, Applications "Giuseppe Parenti, " University of Florence, Florence, Italy.
Riccardo SchedaDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi, " University of Bologna, Cesena, Italy.
Emilia SalvadoriNEUROFARBA Department, Neuroscience Section, University of Florence, Florence, Italy.
Antonio GiorgioDepartment of Medicine, Surgery, and Neuroscience, University of Siena, Siena, Italy.
Nicola De StefanoDepartment of Medicine, Surgery, and Neuroscience, University of Siena, Siena, Italy.
Anna PoggesiNEUROFARBA Department, Neuroscience Section, University of Florence, Florence, Italy.
Domenico InzitariNEUROFARBA Department, Neuroscience Section, University of Florence, Florence, Italy.
Leonardo PantoniDepartment of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
Mario MascalchiDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio, " University of Florence, Florence, Italy.
Stefano DiciottiDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi, " University of Bologna, Cesena, Italy.
University of Florence · ITMarconi University · ITUniversity of Siena · ITPiedmont Reference Center for Epidemiology and Cancer Prevention · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relative contribution of changes in the cerebral white matter (WM) and cortical gray matter (GM) to the transition to dementia in patients with mild cognitive impairment (MCI) is not yet established. In this longitudinal study, we aimed to analyze MRI features that may predict the transition to dementia in patients with MCI and T Methods: Sixty-four participants with MCI and moderate to severe leukoaraiosis underwent baseline MRI examinations and annual neuropsychological testing over a 2 year period. The diagnosis of dementia was based on established criteria. We evaluated demographic, neuropsychological, and several MRI features at baseline as predictors of the clinical transition. The MRI features included visually assessed MRI features, such as the number of lacunes, microbleeds, and dilated perivascular spaces, and quantitative MRI features, such as volumes of the cortical GM, hippocampus, T Results: After 2 years, 18 (28.1%) participants had transitioned from MCI to dementia. The area under the receiving operator characteristic curve was 0.69 (0.53, 0.85) [mean (90% confidence interval)]. The cortical GM-FD emerged as the top-ranking predictive feature of transition. Furthermore, aggregated quantitative neuroimaging features outperformed visually assessed MRI features in predicting conversion to dementia. Discussion: Our findings confirm the complementary roles of cortical GM and WM changes as underlying factors in the development of dementia in subjects with MCI and leukoaraiosis. FD appears to be a biomarker potentially more sensitive than other brain features.

Indexed as

dementiafractal dimensiongray matterleukoaraiosismild cognitive impairmentMRIwhite matter

Identifiers

PMID37822707
PMCPMC10562576
OpenAlexW4387104763

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.