Evidence map›Paper›PMID 31731672›Full record

SynthesisNutrients2019

Dietary Protein Consumption and the Risk of Type 2 Diabetes: ADose-Response Meta-Analysis of Prospective Studies.

Mengying Fan, Yuqian Li, Chongjian Wang, Zhenxing Mao, Wen Zhou, Lulu Zhang, Xiu Yang, Songyang Cui, Linlin Li

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 6 pooled it
8.9field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 6 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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  11. Optimizing Nutrition Strategies for Diabetes Management in India: An Expert Opinion.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
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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

9 authors at 1 institution in 1 country.

Mengying FanDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
Yuqian LiDepartment of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou 450000, China.ORCID 0000-0003-1276-0077
Chongjian WangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
Zhenxing MaoDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
Wen ZhouDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
Lulu ZhangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
Xiu YangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
Songyang CuiDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
Linlin LiDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
Zhengzhou University · CN

Funding

Chongjian Wang 2016YFC0900803Linlin Li 81602925
6 · The paper itself

Abstract

The relationship between dietary protein consumption and the risk of type 2 diabetes (T2D) has been inconsistent. The aim of this meta-analysis was to explore the relations between dietary protein consumption and the risk of T2D. We conducted systematic retrieval of prospective studies in PubMed, Embase, and Web of Science. Summary relative risks were compiled with a fixed effects model or a random effects model, and a restricted cubic spline regression model and generalized least squares analysis were used to evaluate the diet-T2D incidence relationship. T2D risk increased with increasing consumption of total protein and animal protein, red meat, processed meat, milk, and eggs, respectively, while plant protein and yogurt had an inverse relationship. A non-linear association with the risk for T2D was found for the consumption of plant protein, processed meat, milk, yogurt, and soy. This meta-analysis suggests that substitution of plant protein and yogurt for animal protein, especially red meat and processed meat, can reduce the risk for T2D.

Indexed as

Animal Proteins, DietaryDiabetes Mellitus, Type 2DietHumansIncidenceMeatPlant Proteins, DietaryProspective StudiesRisk FactorsAnimal Proteins, DietaryPlant Proteins, Dietarydietdose-responsemeta-analysisproteintype 2 diabetes

Identifiers

PMID31731672
PMCPMC6893550
OpenAlexW2983065184

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.