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IL-6, PF-4, sCD40 L, and homocysteine are associated with the radiological progression of cerebral small-vessel disease: a 2-year follow-up study

Overview of attention for article published in Clinical Interventions in Aging, June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
28 Mendeley
Title
IL-6, PF-4, sCD40 L, and homocysteine are associated with the radiological progression of cerebral small-vessel disease: a 2-year follow-up study
Published in
Clinical Interventions in Aging, June 2018
DOI 10.2147/cia.s166773
Pubmed ID
Authors

Jacek Staszewski, Renata Piusińska-Macoch, Bogdan Brodacki, Ewa Skrobowska, Adam Stepien

Abstract

Endothelial dysfunction (ED) is involved in the pathogenesis of cerebral small vessel disease (SVD), however, it is not clear if specific biomarkers related to ED are associated with radiological progression of SVD. A single-center, prospective cohort study was conducted among consecutive, adult patients with SVD. Logistic regression was used to analyze the association of each baseline biomarker (highest vs lowest tertile) and the MRI radiological outcome after 2 years. The mean Z-score for vascular inflammation (VI) combined soluble intercellular cell adhesion molecule-1 (sICAM-1), soluble platelet selectin (sP-selectin), CD40 ligand (sCD40 L), platelet factor-4 (PF-4) and homocysteine; Z-score for systemic inflammation (SI) combined high-sensitivity C-reactive protein (hsCRP), interleukin-1α and -6 (IL-1α and IL-6, respectively) and tumor necrosis factor-α (TNF-α). The study group comprised 123 patients (age, mean±SD: 72.2±8 years, 49% females), with lacunar stroke (n=49), vascular dementia (n=48), and vascular parkinsonism (n=26). Moreover, 34.9% patients experienced radiological progression, 43% had progression of isolated white matter lesions (WMLs), 23.2% had new lacunes, and 34.8% had both WMLs progression and new lacunes. After adjustment for confounders (age, sex, blood pressure, MRI lesions load), the PF-4 (OR; 95% CI 5.5; 1.5-21), sCD40L (4.6; 1.1-18.6), IL-6 (7.4; 1.48-37), Z-score for VI (4.5; 1.1-18.6), and, marginally, homocysteine (4.1; 0.99-17) were associated with the risk of any radiological progression; further, homocysteine (2.4; 1.4-14), Z-score for SI (2.1; 1.2-14) and, marginally, IL-6 (6.0; 0.95 -38) were related to the development of new lacunes; PF-4 (7.9; 1.6-38) and, marginally, the Z-score for VI (4.2; 0.9-19.5) were correlated with the risk of WMLs progression. Additional adjustment for clinical SVD manifestations did not significantly alter the results. The data supports the concept that ED modulates the radiological progression of SVD and WMLs and lacunes are associated with different inflammatory markers.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Researcher 3 11%
Unspecified 3 11%
Student > Master 3 11%
Other 2 7%
Other 5 18%
Unknown 3 11%
Readers by discipline Count As %
Neuroscience 7 25%
Medicine and Dentistry 6 21%
Unspecified 3 11%
Psychology 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 1 4%
Unknown 8 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2018.
All research outputs
#1,589,660
of 13,218,736 outputs
Outputs from Clinical Interventions in Aging
#230
of 1,350 outputs
Outputs of similar age
#53,113
of 268,323 outputs
Outputs of similar age from Clinical Interventions in Aging
#8
of 26 outputs
Altmetric has tracked 13,218,736 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,350 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.