Evidence map›Paper›PMID 29971528›Full record

ArticleDiabetologia2018

Dietary manganese and type 2 diabetes mellitus: two prospective cohort studies in China.

Shanshan Du, Xiaoyan Wu, Tianshu Han, Wei Duan, Lei Liu, Jiayue Qi, Yucun Niu, Lixin Na, Changhao Sun

Open access · bronzeAbstract read
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In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  13. Goose Meat as a Source of Dietary Manganese-A Systematic Review.Animals : an open access journal from MDPI · 2023
    Review
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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.

Shanshan DuDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
Xiaoyan WuDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
Tianshu HanDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
Wei DuanDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
Lei LiuDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
Jiayue QiDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
Yucun NiuDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China.
Lixin NaDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China. nalixin2003@163.com.
Changhao SunDepartment of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, People's Republic of China. changhaosun2002@163.com.
Harbin Medical University · CN

Funding

National Natural Science Foundation of China 81202188National Natural Science Foundation of China 81372997National Natural Science Foundation of China 81472981Wu Liande Grant of Harbin Medical University WLD-QN1406
6 · The paper itself

Abstract

aims/hypothesisThe association between dietary Mn and type 2 diabetes is unclear. We aimed to elucidate whether dietary Mn is associated with type 2 diabetes, to investigate whether this association is independent of dietary total antioxidant capacity (TAC) and to explore the underlying mechanisms in their association.

methodsTwo prospective cohorts of 3350 and 7133 Chinese adults (20-74 years old) were enrolled including, respectively, 244 and 578 individuals newly diagnosed with type 2 diabetes, with mean values of 4.2 and 5.3 years of follow-up. Cox's proportional-hazards regression and linear regression were performed to investigate the association between dietary Mn and type 2 diabetes (diagnosed by OGTT) or HbA

resultsDietary Mn intakes were 4.58 ± 1.04 and 4.61 ± 1.08 (mean ± SD) mg/day in the two cohorts. Dietary Mn was inversely associated with type 2 diabetes incidence and HbA CONCLUSIONS/

interpretationDietary Mn was inversely associated with type 2 diabetes independently of TAC. In addition, this association was stronger in a high- rather than low-TAC diet. Plasma Mn and oxidative stress were mediators in the association between dietary Mn and type 2 diabetes. Future studies on absolute Mn intake should be conducted to study the potential non-linearity and optimal levels of dietary Mn and type 2 diabetes.

Indexed as

DietAdultAgedAnthropometryAntioxidantsBlood GlucoseBody Mass IndexChinaDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGlucose IntoleranceGlucose Tolerance TestHumansMaleManganeseAntioxidantsBlood GlucoseManganeseAntioxidant capacityDietManganeseType 2 diabetes

Identifiers

PMID29971528
OpenAlexW2810744703

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.