Evidence map›Paper›PMID 41375976›Full record

ArticleFoods (Basel, Switzerland)2025

Grains, Cereals, and Legumes: Implications in Glycemic Index and Perspectives.

Manish Kumar Singh, Hyeong Rok Yun, Jyotsna S Ranbhise, Sunhee Han, Songhyun Ju, Salima Akter, Seung Geun Yeo, Sung Soo Kim, Insug Kang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. 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
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.

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

9 authors.

Manish Kumar SinghDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.ORCID 0000-0002-2232-0350
Hyeong Rok YunDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
Jyotsna S RanbhiseDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.ORCID 0009-0005-4935-7312
Sunhee HanDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
Songhyun JuDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.
Salima AkterDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.ORCID 0000-0002-1769-5879
Seung Geun YeoDepartment of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Kyung Hee University Medical Center, Kyung Hee University, Seoul 02453, Republic of Korea.ORCID 0000-0001-8021-1024
Sung Soo KimDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.ORCID 0000-0002-6817-7668
Insug KangDepartment of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul 02447, Republic of Korea.ORCID 0000-0001-7117-1008

Funding

National Research Foundation of Korea NRF-2018R1A6A1A03025124
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe glycemic index (GI) is a critical factor in managing blood sugar levels and related diseases. Grains, as staple foods consumed worldwide, are primary sources of carbohydrates, starch, and dietary fiber (DF). The carbohydrate composition of grains can significantly influence postprandial blood glucose levels. Therefore, understanding how different carbohydrate components affect blood glucose is essential.

methodsThis study retrospectively examined the relationship between carbohydrate composition and GI in various grains, cereals, and legumes. Data on grain and cereal components were obtained from reputable public databases, including PubMed, the U.S. Department of Agriculture (USDA), FooDB, and published studies.

resultsAnalysis of the GI and glycemic load (GL) across grain components revealed several key findings. In addition to total carbohydrate (TC), both dietary starch (DS) and dietary fiber (DF) had substantial effects on GI. Interestingly, total sugar (TS), often considered a primary concern, showed no significant association with GI. Multiple regression and linear regression analyses demonstrated strong correlations between GI and both TC and DS. Among ratio metrics, the TC-to-DF ratio displayed significant correlation with GI (R = 0.48,

conclusionsThese findings suggest that carbohydrate-to-fiber ratios, especially TC-to-DF, may play an important role in determining GI. Other dietary components, such as dietary fiber and dietary starch, might also affect these results. Additional studies are needed to examine how factors beyond carbohydrates influence GI. These observations may help guide future work aimed at better understanding dietary effects on health. Further, our results offer valuable insights for making healthier nutritional choices and improving the management of chronic diseases.

Indexed as

carbohydratescerealsfiberglycemic responsestarch

Identifiers

PMID41375976
PMCPMC12691718

What Socratic 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 Socratic graph.