Evidence map›Paper›PMID 28304331›Full record

ArticleNutrients2017

Inverse Association of Plasma Chromium Levels with Newly Diagnosed Type 2 Diabetes: A Case-Control Study.

Sijing Chen, Xiaoling Jin, Zhilei Shan, Shuzhen Li, Jiawei Yin, Taoping Sun, Cheng Luo, Wei Yang, Ping Yao, Kaifeng Yu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  17. Serum trace elements in insulin-dependent and non-insulin-dependent diabetes: a comparative study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018
    Article
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

15 authors at 4 institutions in 2 countries.

Sijing ChenDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. sijingchen19@sina.com.
Xiaoling JinDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. xiaolingking@126.com.
Zhilei ShanDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. shanzhilei3118@126.com.
Shuzhen LiDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. M201575207@hust.edu.cn.
Jiawei YinDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. M201575208@hust.edu.cn.
Taoping SunDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. suntaoping@163.com.
Cheng LuoDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. milkluobo@sina.com.
Wei YangDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. yw8278@hotmail.com.
Ping YaoDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. yaoping@mails.tjmu.edu.cn.
Kaifeng YuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. bwinds@yeah.net.
Yan ZhangHubei Provincial Key Laboratory of Yeast Function, Yichang 443003, China. zhangyan@angelyeast.com.
Qian ChengHubei Provincial Key Laboratory of Yeast Function, Yichang 443003, China. chengqian@angelyeast.com.
Jinquan ChengShenzhen Center for Disease Control and Prevention, Shenzhen 51805, China. cjinquan@szcdc.net.
Wei BaoDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA 52242, USA. wei-bao@uiowa.edu.
Liegang LiuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. lgliu@mails.tjmu.edu.cn.
Huazhong University of Science and Technology · CNSecond Hospital of Yichang · CNShenzhen Center for Disease Control and Prevention · CNUniversity of Iowa · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

Chromium has long been known as an enhancer of insulin action. However, the role of chromium in the development of type 2 diabetes mellitus (T2DM) in humans remains controversial. The current study aimed to examine the associations of plasma chromium levels with T2DM and pre-diabetes mellitus (pre-DM). We conducted a case-control study involving 1471 patients with newly diagnosed T2DM, 682 individuals with newly diagnosed pre-DM, and 2290 individuals with normal glucose tolerance in a Chinese population from 2009 to 2014. Plasma chromium was measured by inductively coupled plasma mass spectrometry. Plasma chromium levels were lower in the T2DM and pre-DM groups than in the control group (median: 3.68 μg/L, 3.61 μg/L, 3.97 μg/L, respectively,

Indexed as

AdultAsian PeopleBiomarkersBlood GlucoseBody Mass IndexCase-Control StudiesChinaCholesterol, HDLCholesterol, LDLChromiumDiabetes Mellitus, Type 2FemaleHumansInsulinLife StyleLimit of DetectionBiomarkersBlood GlucoseCholesterol, HDLCholesterol, LDLChromiumInsulinTriglycerideschromiumpre-diabetestype 2 diabetes

Identifiers

PMID28304331
PMCPMC5372957
OpenAlexW2596353874

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.