Evidence map›Paper›PMID 39487289›Full record

SynthesisScientific reports2024

Evaluating the robustness of DTI-ALPS in clinical context: a meta-analytic parallel on Alzheimer's and Parkinson's diseases.

Tommaso Costa, Jordi Manuello, Enrico Premi, Irene Mattioli, Luca Lasagna, Clara Ballonga Lahoz, Franco Cauda, Sergio Duca, Donato Liloia

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 5 pooled it
–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

32 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

9 authors.

Tommaso CostaGCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.ORCID 0000-0002-0822-862X
Jordi ManuelloGCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy. jordi.manuello@unito.it.ORCID 0000-0002-9928-0924
Enrico PremiStroke Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy.ORCID 0000-0002-4342-6963
Irene MattioliDepartment of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy.
Luca LasagnaGCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Clara Ballonga LahozGCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Franco CaudaGCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.ORCID 0000-0003-1526-8475
Sergio DucaGCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
Donato LiloiaGCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.ORCID 0000-0002-9481-8510

Funding

Ministero dell'Università e della Ricerca 202223XMAF
6 · The paper itself

Abstract

In recent years, the glymphatic system has received increasing attention due to its possible implications in biological mechanisms associated with neurodegeneration. In the field of human brain mapping, this led to the development of diffusion tensor image analysis along the perivascular space (DTI-ALPS) index. While this index has been repeatedly used to investigate possible differences between neurodegenerative disorders and healthy controls, a comprehensive evaluation of its stability across multiple measurements and different disorders is still missing. In this study, we perform a Bayesian meta-analysis aiming to assess the consistency of the DTI-ALPS results previously reported for 12 studies on Parkinson's disease and 11 studies on Alzheimer's disease. We also evaluated if the measured value of the DTI-ALPS index can quantitatively inform the diagnostic process, allowing disambiguation between these two disorders. Our results, expressed in terms of Bayes' Factor values, confirmed that the DTI-ALPS index is consistent in measuring the different functioning of the glymphatic system between healthy subjects and patients for both Parkinson's disease (Log10(BF10) = 30) and Alzheimer's disease (Log10(BF10) = 10). Moreover, we showed that the DTI-ALPS can be used to compare these two disorders directly, therefore providing a first proof of concept supporting the reliability of taking into consideration this neuroimaging measurement in the diagnostic process. Our study underscores the potential of the DTI-ALPS index in advancing our understanding of neurodegenerative pathologies and enhancing clinical diagnostics.

Indexed as

Alzheimer DiseaseDiffusion Tensor ImagingParkinson DiseaseBayes TheoremBrainGlymphatic SystemHumansAlzheimer’s diseaseChoroid plexusGlymphaticParkinson’s diseasePerivascular space

Identifiers

PMID39487289
PMCPMC11530450

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.