Evidence map›Paper›PMID 37955008›Full record

ArticleFrontiers in endocrinology2023

An early prediction model for type 2 diabetes mellitus based on genetic variants and nongenetic risk factors in a Han Chinese cohort.

Jinjin Li, Qun Ye, Hongxiao Jiao, Wanyao Wang, Kai Zhang, Chen Chen, Yuan Zhang, Shuzhi Feng, Ximo Wang, Yubao Chen and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

13 authors at 5 institutions in 1 country.

Jinjin Li *Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Qun Ye *Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Hongxiao Jiao *Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Wanyao WangDepartment of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Kai ZhangGeriatric Medicine, Tianjin General Hospital of Tianjin Medical University, Tianjin, China.
Chen ChenGeriatric Medicine, Tianjin General Hospital of Tianjin Medical University, Tianjin, China.
Yuan ZhangDepartment of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Shuzhi FengGeriatric Medicine, Tianjin General Hospital of Tianjin Medical University, Tianjin, China.
Ximo WangTianjin Nankai Hospital, Tianjin, China.
Yubao ChenInstitute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Huailin GaoHebei Yiling Hospital, Shijiazhuang, Hebei, China.
Fengjiang WeiDepartment of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Wei-Dong LiDepartment of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Tianjin Medical University · CNTianjin Medical University General Hospital · CNHebei Yiling Hospital · CNInstitute of Laboratory Animal Science · CNTianjin Nankai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: We aimed to construct a prediction model of type 2 diabetes mellitus (T2DM) in a Han Chinese cohort using a genetic risk score (GRS) and a nongenetic risk score (NGRS). Methods: A total of 297 Han Chinese subjects who were free from type 2 diabetes mellitus were selected from the Tianjin Medical University Chronic Disease Cohort for a prospective cohort study. Clinical characteristics were collected at baseline and subsequently tracked for a duration of 9 years. Genome-wide association studies (GWASs) were performed for T2DM-related phenotypes. The GRS was constructed using 13 T2DM-related quantitative trait single nucleotide polymorphisms (SNPs) loci derived from GWASs, and NGRS was calculated from 4 biochemical indicators of independent risk that screened by multifactorial Cox regressions. Results: We found that HOMA-IR, uric acid, and low HDL were independent risk factors for T2DM ( Conclusions: We constructed a comprehensive prediction model for type 2 diabetes out of a Han Chinese cohort. Along with independent risk factors, GRS is a crucial element to predicting the risk of type 2 diabetes mellitus.

Indexed as

Diabetes Mellitus, Type 2East Asian PeopleGenome-Wide Association StudyHumansProspective StudiesRisk Factorscohort studygenetic risk factorsgenome-wide association studyHan Chineseprediction modeltype 2 diabetes mellitus

Identifiers

PMID37955008
PMCPMC10634500
OpenAlexW4387959461

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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.