Evidence map›Paper›PMID 30693066›Full record

ArticleOxidative medicine and cellular longevity2018

Combination of Diet Quality Score, Plasma Carotenoids, and Lipid Peroxidation to Monitor Oxidative Stress.

Yunsoo Kim, You Jin Kim, Yeni Lim, Bumjo Oh, Ji Yeon Kim, Jildau Bouwman, Oran Kwon

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Deep learning health space model for ordered responses.BMC medical informatics and decision making · 2025
    Article
  3. Article
  4. Article
  5. Carotenoids in Health as Studied by Omics-Related Endpoints.Advances in nutrition (Bethesda, Md.) · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Wolfberry (Antioxidants (Basel, Switzerland) · 2021
    Article
  13. Review
  14. Article
  15. Article
  16. 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 2 countries.

Yunsoo KimDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea.ORCID 0000-0001-9376-6141
You Jin KimDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea.ORCID 0000-0002-2192-729X
Yeni LimDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea.ORCID 0000-0001-6882-1719
Bumjo OhDepartment of Family Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-2468-0755
Ji Yeon KimDepartment of Food Science and Technology, Seoul National University of Science and Technology, Seoul, Republic of Korea.ORCID 0000-0002-4316-2726
Jildau BouwmanMicrobiology and Systems Biology Group, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands.ORCID 0000-0002-9396-0646
Oran KwonDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea.ORCID 0000-0002-2031-7238
Ewha Womans University · KRNetherlands Organisation for Applied Scientific Research · NLSeoul National University · KRSeoul National University of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is important to understand the association between oxidative stress-related parameters and to evaluate their status in advance of chronic disease development. Further development towards disease can then be prevented by dietary antioxidants. The present study was aimed at assessing the relationship between diet quality, blood antioxidants, and oxidative damage to determine whether the association between these markers differs by oxidative stress status. For a cross-sectional analysis, we used data and samples of baseline information from a prospective cohort study. A total of 1229 eligible adults were classified into apparently healthy subjects (66.5%) and those with oxidative stress conditions (35.5%). Diet quality was assessed using the recommended food score (RFS). Plasma carotenoids (blood antioxidants) and blood/urinary malondialdehyde (MDA; oxidative damage) were determined by high-performance liquid chromatography. We found that the healthy group was younger, and they had a lower RFS and plasma MDA level and higher plasma carotenoids compared to the oxidative stress condition group. This result is probably due to the quenching of the oxidative response in the tissues of those people. A positive association of RFS with plasma carotenoids (total and

Indexed as

Chronic DiseaseDietLipid PeroxidationNutrition AssessmentOxidative StressAdultAgedAged, 80 and overBiomarkersCarotenoidsCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesBiomarkersCarotenoids

Identifiers

PMID30693066
PMCPMC6332925
OpenAlexW2907372010

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.