Evidence map›Paper›PMID 33546299›Full record

ArticleNutrients2021

A Korean-Style Balanced Diet Has a Potential Connection with

Xuangao Wu, Tatsuya Unno, Suna Kang, Sunmin Park

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Xuangao WuObesity/Diabetes Research Center, Department of Food and Nutrition, Hoseo University, Asan 31499, Korea.
Tatsuya UnnoFaculty of Biotechnology, School of Life Sciences, SARI, Jeju National University, Jeju 63243, Korea.ORCID 0000-0003-2373-2100
Suna KangObesity/Diabetes Research Center, Department of Food and Nutrition, Hoseo University, Asan 31499, Korea.
Sunmin ParkObesity/Diabetes Research Center, Department of Food and Nutrition, Hoseo University, Asan 31499, Korea.ORCID 0000-0002-6092-8340
Hoseo University · KRJeju National University · KR

Funding

National Research Foundation of Korea 2019R1A2C1007203
6 · The paper itself

Abstract

Metabolic syndrome is associated with usual dietary patterns that may be involved in enterotypes. We aimed to understand the potential relationship of enterotypes and dietary patterns to influence metabolic syndrome in the Koreans. Using the Korea National Health and Nutrition Examination Survey (KNHANES)-VI in 2014, metabolic parameters were also analyzed among the dietary patterns classified by principal component analysis in Korean adults. The fecal microbiota data of 1199 Korean adults collected in 2014 were obtained from the Korea Centers for Disease Control and Prevention. Enterotypes were classified based on Dirichlet multinomial mixtures (DMM) by Mothur v.1.36. The functional abundance of fecal bacteria was analyzed using the PICRUSt2 pipeline. Korean adults were clustered into three dietary patterns including Korean-style balanced diets (KBD, 20.4%), rice-based diets (RBD, 17.2%), and Western-style diets (WSD, 62.4%) in KNHANES. The incidence of metabolic syndrome was lowered in the order of RBD, WSD, and KBD. The participants having a KBD had lower serum C-reactive protein and triglyceride concentrations than those with RBD and WSD (

Indexed as

DietAdultBacteriaBacteroidesDiet, WesternFecesFemaleGastrointestinal MicrobiomeHumansMaleMetabolic SyndromeMiddle AgedNutrition SurveysOryzaPrevotellaRepublic of Koreadietary patternsenterotypesgut microbiotainflammationKoreansshort-chain fatty acids

Identifiers

PMID33546299
PMCPMC7913599
OpenAlexW3128774488

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.