Evidence map›Paper›PMID 37818160›Full record

ArticleAsian biomedicine : research, reviews and news2023

The relationship between inflammatory biomarkers and macular pigment optical density in hypertensive patients: a cross-sectional study.

Chunchuree Kongmeesuk Kaneko, Katsunori Kaneko, Vitoon Jularattanaporn, Thamthiwat Nararatwanchai

Open access · hybridAbstract read
In one paragraph

Article in Asian biomedicine : research, reviews and news, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 75% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Chunchuree Kongmeesuk KanekoSchool of Anti-Aging and Regenerative Medicine of Mae Fah Laung University, Bangkok 10110, Thailand.
Katsunori KanekoGraduate School of Economics, Osaka Metropolitan University, Osaka 558-8585, Japan.
Vitoon JularattanapornSchool of Anti-Aging and Regenerative Medicine of Mae Fah Laung University, Bangkok 10110, Thailand.
Thamthiwat NararatwanchaiSchool of Anti-Aging and Regenerative Medicine of Mae Fah Laung University, Bangkok 10110, Thailand.
Mae Fah Luang University · THOsaka Metropolitan University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammation may be associated with macular pigment optical density (MPOD) degradation. Objectives: The relationship between inflammation and MPOD is evaluated using inflammatory biomarkers, including high sensitivity C-reactive protein (hsCRP), lipid level and ratio, waist circumference (WC), and body mass index (BMI). Method: In this cross-sectional design, 62 hypertensive patients were recruited between January 6 and January 8, 2022, at a primary care unit. The MPOD was measured using the Macular pigment screener II. Blood tests for hsCRP, lipid profile, WC measurement, BMI calculation, and completing a questionnaire were conducted, and statistical analysis was done by using Microsoft Excel 2019 and Stata version 16.1. Spearman's rank correlation test was used to evaluate correlations. Multivariate analysis for adjusting confounders was done by logistic regression. Result: There was a significant negative correlation between hsCRP >3 and MPOD ( Conclusion: Inflammation was linked to MPOD. Anti-inflammatory agents may be beneficial in preventing MPOD degradation.

Indexed as

hsCRPhypertensioninflammatory biomarkermacular pigment optical densitymacular pigment screener II

Identifiers

PMID37818160
PMCPMC10561677
OpenAlexW4387452202

What OpenQuestion holds

Textmetadata
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.