Evidence map›Paper›PMID 37964962›Full record

ArticleFrontiers in endocrinology2023

Impact of a high dietary fiber cereal meal intervention on body weight, adipose distribution, and cardiovascular risk among individuals with type 2 diabetes.

Xiaofeng Li, Yu Shi, Dongqin Wei, Wenyu Ni, Na Zhu, Xinyi Yan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Review
  3. Research Progress in the Relationship between Intestinal Flora and Diabetes Mellitus.Endocrine, metabolic & immune disorders drug targets · 2025
    Review
  4. Review
  5. 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

6 authors at 1 institution in 1 country.

Xiaofeng LiDepartment of Endocrinology, Metabolic Management Center, Qidong People's Hospital, Qidong Liver Cancer Institute, Affiliated Qidong Hospital of Nantong University, Jiangsu, China.
Yu ShiDepartment of Endocrinology, Metabolic Management Center, Qidong People's Hospital, Qidong Liver Cancer Institute, Affiliated Qidong Hospital of Nantong University, Jiangsu, China.
Dongqin WeiDepartment of Endocrinology, Metabolic Management Center, Qidong People's Hospital, Qidong Liver Cancer Institute, Affiliated Qidong Hospital of Nantong University, Jiangsu, China.
Wenyu NiDepartment of Endocrinology, Metabolic Management Center, Qidong People's Hospital, Qidong Liver Cancer Institute, Affiliated Qidong Hospital of Nantong University, Jiangsu, China.
Na ZhuDepartment of Remote ECG Diagnostic Center, Qidong People's Hospital, Qidong Liver Cancer Institute, Affiliated Qidong Hospital of Nantong University, Jiangsu, China.
Xinyi YanDepartment of Endocrinology, Metabolic Management Center, Qidong People's Hospital, Qidong Liver Cancer Institute, Affiliated Qidong Hospital of Nantong University, Jiangsu, China.
Qidong Liver Cancer Prevention Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study sought to examine the impacts of a high dietary fiber cereal meal in comparison to conventional dietary management for diabetes on body weight, distribution of adipose tissue, and cardiovascular risk among individuals diagnosed with type 2 diabetes (T2DM). Methods: A cohort of 120 patients diagnosed with T2DM was enlisted as the study population and divided into two groups using a ratio of 2:1-namely, the W group (n=80) and the U group (n=40). The U group (control) received usual diet, while the W group (intervention) incorporated a high dietary fiber cereal meal in place of their regular staple food in addition to adhering to conventional diabetes dietary recommendations. The high dietary fiber cereal meal was based on whole grains, traditional Chinese medicinal foods, and prebiotics. A subsequent follow-up period of 3 months ensued, during which diverse parameters such as body mass index (BMI),waist-hip ratio (WHR), glycated hemoglobin (HbA1c),fasting blood glucose(FBG),C-peptide levels, blood pressure, blood lipids, high-sensitivity C-reactive protein (hsCRP),10-year cardiovascular disease (CVD) risk, and Lifetime CVD risk were assessed before and after the intervention. Results: Among the participants, a total of 107 successfully completed the intervention and follow-up, including 72 individuals from the W group and 35 from the U group. Following the intervention, both cohorts exhibited decrease in BMI, WHR, HbA1c, FBG, blood pressure, and blood lipid levels in contrast to their initial measurements. Remarkably, the improvements in BMI, WHR, HbA1c, FBG, total cholesterol (TC), triglycerides(TG), low-density lipoprotein cholesterol (LDL-C), the ratio of triglyceride to high-density lipoprotein cholesterol (TG/HDL-C), and the ratio of 2-hour C-peptide (2hCP) to fasting C-peptide (FCP) were more marked within the W group, exhibiting statistically significant disparities ( Conclusion: The intervention centred on a cereal-based dietary approach showcased favourable outcomes with regard to body weight, adipose distribution, and cardiovascular risk in overweight individuals grappling with T2DM.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Body WeightCholesterol, HDLC-PeptideC-Reactive ProteinDietary FiberEdible GrainGlycated HemoglobinHeart Disease Risk FactorsHumansLipidsObesityRisk FactorsTriglyceridesCholesterol, HDLC-PeptideC-Reactive ProteinDietary FiberGlycated HemoglobinLipidsTriglyceridescardiovascular riskcereal-based nutritional interventionmetabolic syndromeoverweighttype 2 diabetes

Identifiers

PMID37964962
PMCPMC10642937
OpenAlexW4388021696

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.