Evidence map›Paper›PMID 36596531›Full record

ArticleJournal of atherosclerosis and thrombosis2023

Cardiovascular Risk Factor Burden and Treatment Control in Patients with Chronic Kidney Disease: A Cross-Sectional Study.

Hiromasa Kitamura, Shigeru Tanaka, Hiroto Hiyamuta, Sho Shimamoto, Kazuhiko Tsuruya, Toshiaki Nakano, Takanari Kitazono

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Atherosclerotic Diseases in Chronic Kidney Disease.Journal of atherosclerosis and thrombosis · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
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

7 authors at 4 institutions in 1 country.

Hiromasa KitamuraDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences.
Shigeru TanakaDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences.
Hiroto HiyamutaDepartment of Internal Medicine, Faculty of Medicine, Division of Nephrology and Rheumatology, Fukuoka University.
Sho ShimamotoDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences.
Kazuhiko TsuruyaDepartment of Nephrology, Nara Medical University.
Toshiaki NakanoDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences.
Takanari KitazonoDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences.
Kyushu University · JPKumamoto University · JPFukuoka University · JPNara Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimCardiovascular disease is a life-threatening chronic kidney disease (CKD) complication. Although cardiovascular risk factor management is significant in patients with CKD, there are few reports that detail the frequency of complications and the treatment of cardiovascular risk factors at different stages of CKD in clinical practice.

methodsThere were a total of 3,407 patients with non-dialysis-dependent CKD who participated in the Fukuoka Kidney disease Registry Study, and they were cross-sectionally analyzed. The patients were classified into five groups based on their estimated glomerular filtration rate and urinary albumin to creatinine ratio according to Kidney Disease: Improving Global Outcomes 2012 guidelines, which recommend low, moderate, high, very high, and extremely high risk groups. The primary outcomes were the cardiovascular risk factor burden and the treatment status of cardiovascular risk factors. Using a logistic regression model, the association between the CKD groups and the treatment status of each risk factor was examined.

resultsThe proportion of patients with hypertension, diabetes mellitus, and dyslipidemia significantly increased as CKD progressed, whereas the proportion of patients who achieved cardiovascular risk factor treatment targets significantly decreased. In the multivariable analysis, the odds ratios (ORs) of uncontrolled treatment targets were significantly higher for hypertension (OR 3.68) in the extremely high risk group than in the low risk group.

conclusionsPatients with non-dialysis-dependent CKD demonstrate an increased cardiovascular risk factor burden with greater severity of CKD. Extremely high risk CKD is associated with difficulty in managing hypertension.

Indexed as

Cardiovascular DiseasesHypertensionRenal Insufficiency, ChronicCross-Sectional StudiesHeart Disease Risk FactorsHumansRisk FactorsCardiovascular diseaseChronic kidney diseaseEstimated glomerular filtration rateTreatment controlUrinary albumin to creatinine ratio

Identifiers

PMID36596531
PMCPMC10499443
OpenAlexW4313216933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.