Evidence map›Paper›PMID 40144711›Full record

ArticleGHM open2022

Association of atherogenic serum lipids and platelet activation with changes in arterial stiffness in patients with type 2 diabetes.

Yuji Hirowatari, Hidekatsu Yanai

Abstract read
In one paragraph

Article in GHM open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

Yuji HirowatariLaboratory Sciences, Department of Health Sciences, Saitama Prefectural University, Saitama, Japan.
Hidekatsu YanaiDepartment of Diabetes, Endocrinology, and Metabolism, National Center for Global Health and Medicine Kohnodai Hospital, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulse wave velocity (PWV) is a potential marker for atherosclerosis severity and/or predictor of future atherosclerotic cardiovascular events. PWV is significantly correlated with carotid-intimal media thickness in patients with diabetes. However, its significance as a surrogate marker for the treatment of atherosclerotic cardiovascular risk in the management of type 2 diabetes has not been fully established. To elucidate the factors that determine the improvement or deterioration of PWV, we studied the association of clinical parameters, parameters for glucose metabolism, serum lipids including each lipoprotein fraction, serotonin as a marker for platelet activation, and change in PWV in 54 patients with type 2 diabetes. Systolic blood pressure and serum levels of non-high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol (LDL-C), and intermediate-density lipoprotein-cholesterol significantly decreased in the PWV-improved group after 2 months compared with those in the PWV-deteriorated group. The serotonin levels at baseline were significantly lower in the PWV-improved group than in the PWV-deteriorated group. The changes in systolic blood pressure and LDL-C levels were significantly and positively correlated with those in PWV. The serotonin levels at baseline were significantly and positively correlated with changes in PWV. Therefore, amelioration of blood pressure, serum lipid level, and platelet activation might be beneficially associated with PWV change. PWV-guided clinical practice for cardiovascular risk stratification could be useful in type 2 diabetes management.

Indexed as

atherosclerosisdiabeteslipoproteinpulse wave velocityserotonin

Identifiers

PMID40144711
PMCPMC11933956

What OpenQuestion holds

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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.