Evidence map›Paper›PMID 31597887›Full record

ArticleJournal of atherosclerosis and thrombosis2020

Arterial Stiffness Predicts Rapid Decline in Glomerular Filtration Rate Among Patients with High Cardiovascular Risks.

Bancha Satirapoj, Wutipong Triwatana, Ouppatham Supasyndh

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Bancha SatirapojDivision of Nephrology, Department of Medicine, Phramongkutklao Hospital and College of Medicine.
Wutipong TriwatanaDivision of Nephrology, Department of Medicine, Phramongkutklao Hospital and College of Medicine.
Ouppatham SupasyndhDivision of Nephrology, Department of Medicine, Phramongkutklao Hospital and College of Medicine.
Phramongkutklao Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsArterial stiffness is known to be an important surrogate marker for atherosclerosis and predictor of peripheral vascular and cardiovascular (CV) disease. Whether high cardio-ankle vascular index (CAVI) is associated with the development of rapid glomerular filtration rate (GFR) decline remains uncertain. The study aimed to determine the relationship between CAVI and renal function progression among patients with high CV risk.

methodsThis study employed a prospective cohort design with 1-year follow-up among patients with high CV risk. Arterial stiffness was measured using CAVI method. GFR was estimated using the chronic kidney disease (CKD) epidemiology collaboration equation, and rapid decline in GFR was defined with decrease in GFR ≥ 5 mL/min/1.73 m

resultsOf 352 patients with mean age 67.8±10.1 years, 224 patients (63.6%) were suspected to have arteriosclerosis (CAVI ≥ 9), and 208 patients (59.1%) had CKD (GFR <60 mL/min/1.73 m

conclusionAmong patients with high risk of CV with or without CKD, high CAVI (cut point of ≥ 9) was independently associated with a rapid decline in GFR, suggesting that systemic vascular stiffness predicted a decrease in renal function in this population.

Indexed as

AtherosclerosisRenal Insufficiency, ChronicAgedAnkle Brachial IndexCohort StudiesDisease ProgressionFemaleGlomerular Filtration RateHeart Disease Risk FactorsHumansKidney Function TestsMalePredictive Value of TestsRisk AssessmentThailandVascular StiffnessArterial stiffnessCardio-ankle vascular indexChronic kidney diseaseGlomerular filtration rate

Identifiers

PMID31597887
PMCPMC7355103
OpenAlexW2979553507

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.