Evidence map›Paper›PMID 40800914›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

The dependence of CO

Dinil Sasi Sankaralayam, Cuimei Xu, Zhiyi Hu, Abhay Moghekar, Dengrong Jiang, Chen Hu, Peiying Liu, Hanzhang Lu

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. 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. Observational
  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

8 authors.

Dinil Sasi SankaralayamThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-6669-5584
Cuimei XuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Zhiyi HuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Abhay MoghekarDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Dengrong JiangThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Chen HuSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Peiying LiuDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.
Hanzhang LuThe Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID https://orcid.org/0000-0003-3871-1564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrovascular reactivity (CVR) represents an important marker of brain vascular health, particularly in the context of small and large vessel diseases. However, an undesired feature of this measure is that there exist large variations in CVR values across individuals, which is mainly attributed to physiological factors. Here, we test the hypothesis that caffeine, a widely consumed neurostimulant, has a significant effect on CVR measured with MRI. Sixteen young healthy participants were enrolled and categorized into caffeine-naive (N = 8) and caffeine-habituated (N = 8) groups based on their caffeine consumption habits. CVR was assessed via CO

Indexed as

caffeinecerebral blood flowcerebrovascular reactivityperfusionvascular cognitive impairment and dementia

Identifiers

PMID40800914
PMCPMC12336059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.