Evidence map›Paper›PMID 27869762›Full record

SynthesisNutrients2016

Dose-Response Relationship between Dietary Magnesium Intake and Risk of Type 2 Diabetes Mellitus: A Systematic Review and Meta-Regression Analysis of Prospective Cohort Studies.

Xin Fang, Hedong Han, Mei Li, Chun Liang, Zhongjie Fan, Jan Aaseth, Jia He, Scott Montgomery, Yang Cao

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 7 pooled it
9.4field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 7 syntheses or guidelines pooled it, 105 citations in OpenAlex.

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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 6 institutions in 4 countries.

Xin FangUnit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm 17177, Sweden. xin.fang@ki.se.
Hedong HanDepartment of Health Statistics, Second Military Medical University, Shanghai 200433, China. he_dong1102@126.com.
Mei LiDepartment of Cardiology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai 200003, China. happyxiaoant@126.com.
Chun LiangDepartment of Cardiology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai 200003, China. chunliangliang@hotmail.com.
Zhongjie FanDepartment of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China. Fan@pumch.cn.
Jan AasethFaculty of Public Health, Hedmark University of Applied Sciences, Elverum 2411, Norway. jaol-aas@online.no.
Jia HeDepartment of Health Statistics, Second Military Medical University, Shanghai 200433, China. hejia63@yeah.net.
Scott MontgomeryClinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro 70182, Sweden. scott.montgomery@regionorebrolan.se.
Yang CaoUnit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm 17177, Sweden. yang.cao@ki.se.
Second Military Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNInnlandet Hospital Trust · NOKarolinska Institutet · SEKarolinska University Hospital · SEÖrebro University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemiological evidence for a dose-response relationship between magnesium intake and risk of type 2 diabetes mellitus (T2D) is sparse. The aim of the study was to summarize the evidence for the association of dietary magnesium intake with risk of T2D and evaluate the dose-response relationship. We conducted a systematic review and meta-analysis of prospective cohort studies that reported dietary magnesium intake and risk of incident T2D. We identified relevant studies by searching major scientific literature databases and grey literature resources from their inception to February 2016. We included cohort studies that provided risk ratios, i.e., relative risks (RRs), odds ratios (ORs) or hazard ratios (HRs), for T2D. Linear dose-response relationships were assessed using random-effects meta-regression. Potential nonlinear associations were evaluated using restricted cubic splines. A total of 25 studies met the eligibility criteria. These studies comprised 637,922 individuals including 26,828 with a T2D diagnosis. Compared with the lowest magnesium consumption group in the population, the risk of T2D was reduced by 17% across all the studies; 19% in women and 16% in men. A statistically significant linear dose-response relationship was found between incremental magnesium intake and T2D risk. After adjusting for age and body mass index, the risk of T2D incidence was reduced by 8%-13% for per 100 mg/day increment in dietary magnesium intake. There was no evidence to support a nonlinear dose-response relationship between dietary magnesium intake and T2D risk. The combined data supports a role for magnesium in reducing risk of T2D, with a statistically significant linear dose-response pattern within the reference dose range of dietary intake among Asian and US populations. The evidence from Europe and black people is limited and more prospective studies are needed for the two subgroups.

Indexed as

DietAdultDiabetes Mellitus, Type 2FemaleHumansIncidenceLinear ModelsMagnesiumMagnesium DeficiencyMaleMiddle AgedNonlinear DynamicsOdds RatioProspective StudiesProtective FactorsRisk AssessmentMagnesiumcohort studydietary intakemagnesiummeta-analysisprospective studytype 2 diabetes

Identifiers

PMID27869762
PMCPMC5133122
OpenAlexW2555482334

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.