Evidence map›Paper›PMID 40775771›Full record

ArticleNutrition & metabolism2025

Effects of 12 nutritional interventions on type 2 diabetes: a systematic review with network meta-analysis of randomized trials.

Yi Liu, Haiyue Li, Qian Zhao, Wenxiang Cui

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

  1. Observational
  2. Review
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yi Liu *School of Nursing, Yanbian University, Yanji City, Jilin Province, 133002, China.
Haiyue Li *Department of General Surgery, Yanbian University Hospital, Yanji City, Jilin Province, 133002, China.
Qian ZhaoSchool of Nursing, Yanbian University, Yanji City, Jilin Province, 133002, China.
Wenxiang CuiSchool of Nursing, Yanbian University, Yanji City, Jilin Province, 133002, China. wxcui@ybu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous trials confirm dietary interventions benefit type 2 diabetes mellitus (T2DM) management, but the optimal model is unclear. We evaluated 12 interventions through a Network Meta-Analysis (NMA) on their effects on Fasting Plasma Glucose (FPG), 2-h Postprandial Glucose (2hPG), HbA1c, Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), Total Cholesterol (TC), Triglycerides (TG), and BMI, providing evidence to guide clinical nursing.

methodsWe conducted an NMA of randomized controlled trials (RCTs) (PROSPERO registration: CRD42023429616), searching eight databases for studies published between January 1, 2010, and August 31, 2024. Two reviewers independently screened studies, extracted data, and assessed bias using the Cochrane Risk of Bias tool. Key and important outcomes were analyzed using Stata 17.0, with evidence quality assessed via the Grading of Recommendations Assessment, Development and Evaluation (GRADE) and Confidence in Network Meta-Analysis (CINeMA) scores.

resultsEighteen RCTs comprising 1,687 patients were included. Among 12 evaluated dietary interventions, MNT ranked highest in reducing FPG (SUCRA = 77.6%; SMD = -0.75; 95% CI: -0.88 to -0.61). Digital dietary models were most effective for reducing HbA1c (SUCRA = 84.6%; SMD = -1.06; 95% CI: -2.11 to -0.01), while LGI diets were superior for both 2hPG (SUCRA = 62.1%; SMD = -0.62; 95% CI: -0.76 to -0.47) and HOMA-IR (SUCRA = 96.9%; SMD = -10.13; 95% CI: -15.96 to -4.30). The LGI + LGL intervention was most effective in reducing TC (SUCRA = 88.3%), TG (SUCRA = 80.6%), and BMI (SUCRA = 99.8%), with statistically significant differences observed in pairwise comparisons (P < 0.05). The quality of evidence was rated as high for FPG, 2hPG, HbA1c, and BMI, and moderate for HOMA-IR, TC, and TG.

conclusionsThese findings highlight the potential of MNT, LGI, digital dietary models, and LGI + LGL interventions to improve glycemic control and metabolic outcomes in patients with T2DM. However, further large-scale, multicenter RCTs are warranted to validate their long-term efficacy and safety.

trial registrationCRD42023429616.

Indexed as

Glycemic ControlNetwork Meta-AnalysisNutritional InterventionsRandomized Controlled TrialsType 2 Diabetes

Identifiers

PMID40775771
PMCPMC12329975

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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.