Evidence map›Paper›PMID 35592630›Full record

ArticleFrontiers in nutrition2022

Beneficial Effects of a Low-Glycemic Diet on Serum Metabolites and Gut Microbiota in Obese Women With

Haeng Jeon Hur, Xuangao Wu, Hye Jeong Yang, Min Jung Kim, Kyun-Hee Lee, Moonju Hong, Sunmin Park, Myung-Sunny Kim

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. The gut microbiome connects nutrition and human health.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Novel primers to identify a wider diversity of butyrate-producing bacteria.World journal of microbiology & biotechnology · 2024
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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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

8 authors at 2 institutions in 1 country.

Haeng Jeon HurFood Functionality Research Division, Korea Food Research Institute, Wanju, South Korea.
Xuangao WuObesity/Diabetes Research Center, Department of Food and Nutrition, Hoseo University, Asan, South Korea.
Hye Jeong YangFood Functionality Research Division, Korea Food Research Institute, Wanju, South Korea.
Min Jung KimFood Functionality Research Division, Korea Food Research Institute, Wanju, South Korea.
Kyun-Hee LeeFood Functionality Research Division, Korea Food Research Institute, Wanju, South Korea.
Moonju HongFood Functionality Research Division, Korea Food Research Institute, Wanju, South Korea.
Sunmin ParkObesity/Diabetes Research Center, Department of Food and Nutrition, Hoseo University, Asan, South Korea.
Myung-Sunny KimFood Functionality Research Division, Korea Food Research Institute, Wanju, South Korea.
Korea Food Research Institute · KRHoseo University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generalized healthy eating patterns may not benefit everyone due to different genetics and enterotypes. We aimed to compare the effects of a low-glycemic diet representing the Korean traditional balanced diet (Low-GID) and westernized diet as a control diet (CD) on anthropometry, serum metabolites, and fecal bacteria in a randomized clinical trial according to enterotypes. We recruited 52 obese women aged 30-50 years, and they consumed Low-GID and CD meals for 1 month, with a 1-month washout period, in a crossover randomized clinical trial. The Low-GID was mainly composed of whole grains with fish, vegetables, seaweeds, and perilla oil, whereas CD contained refined rice, bread, noodles, meats, and processed foods. Serum lipid profiles, metabolomics, serum short-chain fatty acids, and fecal bacteria were analyzed. The important variables influenced by Low-GID and CD were determined by SHAP value in the XGBoost algorithm according to Clinical Trial Registration: [https://cris.nih.go.kr/cris/search/detailSearch.do/17398], identifier [KCT0005340].

Indexed as

3-hydroxybutyric acidenterotypesfecal bacteriainsulin resistancelow-cholesterol dietlow-glycemic dietmetabolites

Identifiers

PMID35592630
PMCPMC9111978
OpenAlexW4225385460

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.