Evidence map›Paper›PMID 40689334›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Dysregulation of cerebral perfusion dynamics is associated with Alzheimer's disease.

Vasilis Marmarelis, Sandy Billinger, Elizabeth Joe, Dae Shin, Suhaib Hashem, Jasmin Rizko, Emily Hazen, Danilo Cardim, Jeff Burns, Rong Zhang and 1 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Vasilis MarmarelisBiomedical Enginering Department University of Southern California Los Angeles California USA.
Sandy BillingerDepartment of Neurology Kansas University Medical Center Kansas City Kansas USA.
Elizabeth JoeDepartment of Neurology Keck School of Medicine University of Southern California Los Angeles California USA.
Dae ShinBiomedical Enginering Department University of Southern California Los Angeles California USA.
Suhaib HashemBiomedical Enginering Department University of Southern California Los Angeles California USA.
Jasmin RizkoBiomedical Enginering Department University of Southern California Los Angeles California USA.
Emily HazenDepartment of Neurology Kansas University Medical Center Kansas City Kansas USA.
Danilo CardimDepartment of Neurology University of Texas Southwestern Medical Center Dallas Texas USA.
Jeff BurnsUniversity of Kansas Alzheimer's Disease Research Center Fairway Kansas USA.
Rong ZhangDepartment of Neurology University of Texas Southwestern Medical Center Dallas Texas USA.
Helena C ChuiDepartment of Neurology Keck School of Medicine University of Southern California Los Angeles California USA.

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI · 2020 to 2026
$27.8M
Revision Supplement: Model-based cerebrovascular markers extracted from hemodynamic data for diagnosing MCI or AD and predicting disease progressionR01AG058162 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BILLINGER, SANDRA A, CHUI, HELENA CHANG · 2018 to 2022
$11.5M
NCATS NIH HHS UL1 TR001855NIA NIH HHS P30 AG066530NIA NIH HHS R01 AG058162
6 · The paper itself

Abstract

introductionA novel physio-marker, termed "cerebrovascular dynamics index" (CDI), was developed and evaluated in a multi-center National Institutes of Health (NIH)-funded study for improved diagnosis of mild cognitive impairment (MCI) and its transition to Alzheimer's disease (AD).

methodsThe CDI quantifies the regulation dynamics of cerebral perfusion and oxygenation (which adjust autonomously blood flow and oxygen delivery over time) through predictive dynamic modeling using relevant time-series data.

resultsCross-sectional results demonstrated excellent diagnostic performance of CDI in differentiating 90 MCI/AD patients from 77 controls (area under the curve (AUC) =  0.96), which surpassed the commonly used biomarker of amyloid positron emission tomography-standardized uptake value ratio (PET-SUVR) (AUC = 0.78) or cognitive screening tests of Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) (AUC = 0.91 and 0.92, respectively). The CDI can also be used for disease staging because it differentiated 56 MCI from 34 mild AD participants (AUC = 0.98).

conclusionThese findings offer the promise of a high-performance diagnostic physio-marker for MCI and AD, which can be obtained in a comfortable, rapid, and automated manner in clinical settings. Highlights: Novel physio-marker (cerebrovascular dynamics index [CDI]) quantifies the regulation dynamics of cerebral perfusion.The CDI was shown to improve mild cognitive impairment/Alzheimer's disease (MCI/AD) diagnosis (area under the curve [AUC] >0.95) relative to existing markers.The CDI is obtained non-invasively, objectively, rapidly, and inexpensively.The CDI performance supports the key role of cerebrovascular dysfunction in AD.The CDI is obtained via dynamic modeling of hemodynamic/oxygenation time-series data.

Indexed as

amyloid PET‐SUVR biomarkerdiagnostic biomarkers for Alzheimer's disease (AD)diagnostic biomarkers for mild cognitive impairment (MCI)MMSEMoCAregulation of cerebral perfusion

Identifiers

PMID40689334
PMCPMC12272300

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.