Evidence map›Paper›PMID 29655832›Full record

ArticleAtherosclerosis2018

Serum magnesium, phosphorus, and calcium levels and subclinical calcific aortic valve disease: A population-based study.

Takashi Hisamatsu, Katsuyuki Miura, Akira Fujiyoshi, Aya Kadota, Naoko Miyagawa, Atsushi Satoh, Maryam Zaid, Takashi Yamamoto, Minoru Horie, Hirotsugu Ueshima and 1 more

Open access · greenAbstract read
In one paragraph

Article in Atherosclerosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

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  18. Hyperphosphatemia and Cardiovascular Disease.Frontiers in cell and developmental biology · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Takashi HisamatsuDepartment of Environmental Medicine and Public Health, Faculty of Medicine, Shimane University, Izumo, Japan; Department of Public Health, Shiga University of Medical Science, Otsu, Japan; Department of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science, Otsu, Japan. Electronic address: hisataka@med.shimane-u.ac.jp.
Katsuyuki MiuraDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan; Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan.
Akira FujiyoshiDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Aya KadotaDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan; Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan.
Naoko MiyagawaDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Atsushi SatohDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Maryam ZaidCenter for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan.
Takashi YamamotoDepartment of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science, Otsu, Japan.
Minoru HorieDepartment of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science, Otsu, Japan.
Hirotsugu UeshimaDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan; Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan.
SESSA Research Group
Shiga University of Medical Science · JPFukuoka University · JP

Funding

Foreign CohortR01HL068200 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEKIKAWA, AKIRA · 2003 to 2012
$5.6M
NHLBI NIH HHS R01 HL068200
6 · The paper itself

Abstract

BACKGROUND AND

aimsCalcific aortic valve disease (CAVD) is the most common valve disease. Although micronutrients are known to contribute to cardiovascular disease, the relationship with CAVD remains poorly evaluated. We examined the association of serum levels of magnesium, phosphorus, and calcium with prevalence, incidence, and progression of aortic valve calcification (AVC).

methodsWe conducted a prospective study in a population-based sample of Japanese men aged 40-79 years without known cardiovascular disease and chronic kidney disease at baseline, and quantified AVC from serial computed tomographic images with the Agatston method.

resultsOf 938 participants at baseline (mean age, 63.7 ± 9.9 years), AVC prevalence was observed in 173 (18.4%). Of 596 participants without baseline AVC at follow-up (median duration, 5.1 years), AVC incidence was observed in 138 (23.2%). After adjustment for demographics, behaviors and cardiovascular risk factors, relative risks (95% confidence intervals) in the highest versus lowest categories of serum magnesium, phosphorus, and calcium were 0.62 (0.44-0.86), 1.45 (1.02-2.04), and 1.43 (0.95-2.15), respectively, for AVC prevalence and 0.62 (0.42-0.92), 1.93 (1.28-2.91), and 1.09 (0.77-1.55), respectively, for AVC incidence. Their linear trends of serum magnesium and phosphorus were also all statistically significant. Of 131 participants with baseline AVC, there was no association of any serum micronutrients with AVC progression.

conclusionsSerum magnesium was inversely associated, while serum phosphorus was positively associated with AVC prevalence and incidence, suggesting that these serum micronutrients may be potential candidates for risk prediction or prevention of CAVD, and warranting further studies.

Indexed as

AdultAgedAortic ValveAortic Valve StenosisCalcinosisCalciumDisease ProgressionHumansIncidenceMagnesiumMaleMiddle AgedPhosphorusPrevalenceProspective StudiesCalciumMagnesiumPhosphorusAortic valve diseaseCalcificationEpidemiologyMagnesiumPhosphorusProspective study

Identifiers

PMID29655832
PMCPMC5991478
OpenAlexW2793299512

What OpenQuestion holds

Textmetadata
LicenceTDM
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.