Evidence map›Paper›PMID 37853637›Full record

ArticleJournal of atherosclerosis and thrombosis2024

Association between an Antioxidant-Rich Japanese Diet and Chronic Kidney Disease: The Ohasama Study.

Megumi Tsubota-Utsugi, Michihiro Satoh, Jun Watanabe, Jun Takebayashi, Tomoyuki Oki, Yukako Tatsumi, Kei Asayama, Masahiro Kikuya, Takahisa Murakami, Takuo Hirose and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

17 authors at 9 institutions in 1 country.

Megumi Tsubota-UtsugiDepartment of Hygiene and Public Health, Teikyo University School of Medicine.
Michihiro SatohDivision of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University.
Jun WatanabeDepartment of Life and Food Sciences, Obihiro University of Agriculture and Veterinary Medicine.
Jun TakebayashiDepartment of Food Function and Labeling, National Institutes of Biomedical Innovation, Health and Nutrition.
Tomoyuki OkiDepartment of Food Science, Graduate School of Nutritional Sciences, Nakamura Gakuen University.
Yukako TatsumiDepartment of Hygiene and Public Health, Teikyo University School of Medicine.
Kei AsayamaDepartment of Hygiene and Public Health, Teikyo University School of Medicine.
Masahiro KikuyaDepartment of Hygiene and Public Health, Teikyo University School of Medicine.
Takahisa MurakamiDivision of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University.
Takuo HiroseDepartment of Endocrinology and Applied Medical Science, Tohoku University Graduate School of Medicine.
Hirohito MetokiDivision of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University.
Azusa HaraDivision of Drug Development and Regulatory Science, Faculty of Pharmacy, Keio University.
Kyoko NomuraDepartment of Environmental Health Science and Public Health, Akita University Graduate School of Medicine.
Atsushi HozawaDepartment of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University.
Yoshitaka TsubonoDepartment of Virology, Tohoku University Graduate School of Medicine.
Yutaka ImaiTohoku Institute for Management of Blood Pressure.
Takayoshi OhkuboDepartment of Hygiene and Public Health, Teikyo University School of Medicine.
Teikyo University · JPTohoku Medical Megabank Organization · JPTohoku University · JPAkita University · JPKeio University · JPNakamura Gakuen University · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPObihiro University of Agriculture and Veterinary Medicine · JPTohoku Medical and Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAlthough physiological effects of hydrophilic- (H-) and lipophilic- (L-) antioxidant capacities (AOCs) are suggested to differ, the association of an antioxidant-rich diet and chronic kidney disease (CKD) incidence has not been examined. We therefore explored the association between the H- or L-AOC of a whole Japanese diet and CKD risk in a general population.

methodsA total of 922 individuals without CKD (69.2% women; mean age, 59.5 years old) from Ohasama Town, Japan, were examined. CKD incidence was defined as the presence of proteinuria and/or an estimated glomerular filtration rate (eGFR) of <60 ml/min/1.73 m

resultsDuring the median follow-up of 9.7 years, 137 CKD incidents were recorded. After adjusting for potential confounding variables, the highest quartile of L-AOC was significantly associated with a 51% reduced CKD risk among only women. An increased L-AOC intake was more effective in preventing eGFR reduction than in preventing proteinuria in women. These associations were not seen for H-AOC intake in both sexes and L-AOC intake in men.

conclusionsA high intake of lipophilic antioxidants may be associated with a reduced CKD risk. The balance between dietary antioxidant intake and pro-oxidants induced by unhealthy lifestyles may be crucial for preventing future kidney deterioration.

Indexed as

AntioxidantsRenal Insufficiency, ChronicDietFemaleGlomerular Filtration RateHumansIncidenceJapanMaleMiddle AgedProteinuriaRisk FactorsAntioxidantsAntioxidant capacityChronic kidney diseaseGeneral populationOxygen radical absorbance capacityTypical Japanese diet

Identifiers

PMID37853637
PMCPMC10999714
OpenAlexW4387682800

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.