Evidence map›Paper›PMID 36638132›Full record

ArticlePloS one2023

Malnutrition leads to the progression of coronary artery calcification in hemodialysis patients.

Hiroki Okabe, Yoshitaka Muraoka, Yutaro Naka, Koshi Setoyama, Konosuke Inoue, Toshiya Miura, Akiyoshi Shimizu, Reo Anai, Tetsu Miyamoto, Yuki Tsuda and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
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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

13 authors at 3 institutions in 1 country.

Hiroki OkabeThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.ORCID 0000-0002-9557-6082
Yoshitaka MuraokaDivision of cardiology, Japan Labor Health and Welfare Organization Kyushu Rosai Hospital, Kitakyushu, Japan.
Yutaro NakaThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Koshi SetoyamaThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Konosuke InoueThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Toshiya MiuraThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Akiyoshi ShimizuThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Reo AnaiThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Tetsu MiyamotoThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Yuki TsudaThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.ORCID 0000-0003-4879-8245
Masaru ArakiThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Shinjo SonodaDepartment of Cardiovascular Medicine, Saga University, Saga, Japan.
Masaharu KataokaThe Second Department of Internal Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.ORCID 0000-0001-8034-1005
University of Occupational and Environmental Health Japan · JPKyushu Rosai Hospital · JPSaga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition is considered a risk factor for cardiovascular disease in patients with chronic kidney disease. However, no in vivo studies have reported on using optical coherence tomography to evaluate the effect of nutritional status on coronary atherosclerosis in hemodialysis patients. We aimed to conduct a detailed analysis of the effect of nutritional status on the coronary arteries in hemodialysis patients.

methodsAmong 64 hemodialysis patients who underwent percutaneous coronary interventions, 41 that underwent optical coherence tomography imaging were included in this study. And, among them, 24 patients that could also be evaluated using OCT also at the 6-month follow-up were included in this study. The patients were divided into two groups based on nutritional evaluation using the geriatric nutritional risk index. Culprit and non-culprit lesions were evaluated at baseline and after 6 months.

resultsIn the culprit lesions at baseline, the length of the lipid plaque was significantly smaller in the malnutrition group. In contrast, the thickness and length of the calcified plaque and the angle of the calcified nodule were significantly larger (each p < 0.01). In the non-culprit lesions, the 6-month change in the angle of the calcified plaque was significantly greater in the malnutrition group (p = 0.02). The significant factors that affected the change in the angle of calcification were "malnutrition at geriatric nutritional risk index" [odds ratio, 8.17; 95% confidence interval, 1.79 to 37.33; p < 0.01] and "serum phosphorus level" (odds ratio, 3.73; 95% confidence interval, 1.42 to 9.81; p < 0.01).

conclusionsAppropriate management of nutritional status is crucial for suppressing the progression of coronary artery disease in hemodialysis patients.

Indexed as

Coronary Artery DiseaseMalnutritionPercutaneous Coronary InterventionPlaque, AtheroscleroticVascular CalcificationAgedCoronary AngiographyCoronary VesselsHumansRenal DialysisRetrospective StudiesTomography, Optical Coherence

Identifiers

PMID36638132
PMCPMC9838858
OpenAlexW4315927923

What OpenQuestion holds

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LicenceCC BY
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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.