Evidence map›Paper›PMID 34822883›Full record

ArticleThe Science of the total environment2022

Long-term association of serum selenium levels and the diabetes risk: Findings from a case-control study nested in the prospective Jinchang Cohort.

Zhiyuan Cheng, Yuanyuan Li, Jamie L Young, Ning Cheng, Chenhui Yang, George D Papandonatos, Karl T Kelsey, John Pierce Wise, Kunchong Shi, Tongzhang Zheng and 2 more

Abstract read
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In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Scientific opinion on the tolerable upper intake level for selenium.EFSA journal. European Food Safety Authority · 2023
    Article
  8. Review
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

12 authors.

Zhiyuan ChengSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Street, Shenzhen 518055, China.
Yuanyuan LiKey Laboratory of Environment and Health, Ministries of Education and Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Street, Wuhan, Hubei, 430030, China.
Jamie L YoungDepartment of Pharmacology and Toxicology, School of Medicine, University of Louisville, 505 South Hancock Street, Louisville, KY 40202, USA.
Ning ChengSchool of Basic Medical Science, Lanzhou University, 199 Donggang West Street, Lanzhou, Gansu 730000, China.
Chenhui YangKey Laboratory of Environment and Health, Ministries of Education and Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Street, Wuhan, Hubei, 430030, China.
George D PapandonatosDepartment of Biostatistics, School of Public Health, Brown University, 121 South Main Street, Providence, RI 02901, USA.
Karl T KelseyDepartment of Epidemiology, School of Public Health, Brown University, 121 South Main Street, Providence, RI 02901, USA.
John Pierce WiseDepartment of Pharmacology and Toxicology, School of Medicine, University of Louisville, 505 South Hancock Street, Louisville, KY 40202, USA; Wise Laboratory of Environmental and Genetic Toxicology, University of Louisville, 500 S. Preston St., 55A, Room 1422, Louisville, KY 40202, USA.
Kunchong ShiDepartment of Epidemiology, School of Public Health, Brown University, 121 South Main Street, Providence, RI 02901, USA.
Tongzhang ZhengDepartment of Epidemiology, School of Public Health, Brown University, 121 South Main Street, Providence, RI 02901, USA.
Simin LiuDepartment of Epidemiology, School of Public Health, Brown University, 121 South Main Street, Providence, RI 02901, USA.
Yana BaiDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, 199 Donggang West Street, Lanzhou, Gansu 730000, China. Electronic address: baiyana@lzu.edu.cn.

Funding

NIEHS NIH HHS R01 ES029082
6 · The paper itself

Abstract

An increasing body of evidence implicates high levels of selenium intake in the development of diabetes, although prospective studies remain sparse. We conducted a nested case-control study of 622 diabetes incident cases and 622-age, sex, and follow-up time-matched controls in the prospective Jinchang cohort of 48,001 participants with a median of 5.8 years of follow-up. Inductively coupled plasma mass spectrometry (ICP-MS) was used to measure all 622 case-control pairs' baseline serum levels of selenium (Se), which were then categorized into quartiles based on the frequency distribution among the controls. Multivariable adjusted conditional logistic regression and restricted cubic splines (RCS) models were applied to evaluate independent odds ratios (OR) as estimates for relative risks (RR) of diabetes according to quartiles (Q) of selenium levels. Compared to the lowest quartile (Q1 as reference), significantly greater diabetes risks (with 95% confidence interval) were observed in Q3 (OR = 1.62, 1.17-2.35) and Q4 (OR = 1.79, 1.21-2.64). Sub-analyses showed these increased risks of diabetes by serum levels of Se. appeared to differ by sex, age, BMI status, history of hypertension, and dyslipidemia. Further, application of RSC models showed that serum Se levels between 95 and 120 μg/L were significantly and positively associated with diabetes risk whereas no apparent relation exists when Se levels were under 95 μg/L in this cohort population.

Indexed as

Diabetes MellitusSeleniumCase-Control StudiesChild, PreschoolHumansOdds RatioProspective StudiesRisk FactorsSeleniumA case-control study nested in prospective cohortDiabetesIncidenceRisk factorSelenium

Identifiers

PMID34822883
PMCPMC8909917

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.