Evidence map›Paper›PMID 35996181›Full record

ArticleNutrition & metabolism2022

Association between early-pregnancy serum C-peptide and risk of gestational diabetes mellitus: a nested case-control study among Chinese women.

Xue Yang, Yi Ye, Yi Wang, Ping Wu, Qi Lu, Yan Liu, Jiaying Yuan, Xingyue Song, Shijiao Yan, Xiaorong Qi and 8 more

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

Article in Nutrition & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.7field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

18 authors at 7 institutions in 2 countries.

Xue Yang *Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yi Ye *Department of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Yi WangDepartment of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Ping WuDepartment of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Qi LuDepartment of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Yan LiuDepartment of Obstetrics and Gynecology, Shuangliu Maternal and Child Health Hospital, Chengdu, 610200, Sichuan, China.
Jiaying YuanDepartment of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu, 610200, Sichuan, China.
Xingyue SongDepartment of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, 571199, Hainan, China.
Shijiao YanResearch Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, 571199, Hainan, China.
Xiaorong QiDepartment of Gynecology and Obstetrics, West China Second Hospital, State Key Laboratory of Biotherapy, Sichuan University, Chengdu, 610041, Sichuan, China.
Yi-Xin WangDepartment of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, 02115, USA.
Ying WenDepartment of Communicable Diseases Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, Guangdong, China.
Gang LiuMinistry of Education and Ministry of Environmental Protection Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Chuanzhu LvDepartment of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, 571199, Hainan, China.
Chun-Xia YangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
An PanDepartment of Epidemiology and Biostatistics, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Jianli ZhangWenjiang Institute of Women's and Children's Health, Wenjiang Maternal and Child Health Hospital, Chengdu, 611130, Sichuan, China. 358992904@qq.com.
Xiong-Fei PanKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. pxiongfei@scu.edu.cn.ORCID http://orcid.org/0000-0002-9350-9230
Ministry of Ecology and Environment · CNSichuan University · CNMaternal and Child Health Hospital of Sichuan Province · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHarvard University · USHainan Medical University · CNShenzhen Center for Disease Control and Prevention · CN

Funding

Independent Innovation Foundation of Huazhong University of Science and Technology 2019kfyXKJC052Natural National Scientific Foundation of China 81773517Sichuan Health Research Grant 19PJ182
6 · The paper itself

Abstract

objectiveTo examine the association of early-pregnancy serum C-peptide with incident gestational diabetes mellitus (GDM) and the predictive ability of maternal C-peptide for GDM.

methodsA nested case-control study of 332 GDM cases and 664 controls was established based on the Tongji-Shuangliu Birth Cohort. The GDM cases and controls were matched at 1:2 on maternal age (± 3 years) and gestational age (± 4 weeks). Multivariable conditional logistic regression was applied to assess the association of C-peptide with risk of GDM. Partial Spearman's correlation coefficients were estimated for the correlations between C-peptide and multiple metabolic biomarkers. C-statistics were calculated to assess the predictive ability of early-pregnancy C-peptide for GDM.

resultsOf 996 pregnant women, median maternal age was 28.0 years old and median gestational age was 11.0 weeks. After adjustment for potential confounders, the odds ratio of GDM comparing the extreme quartiles of C-peptide was 2.28 (95% confidence interval, 1.43, 3.62; P for trend < 0.001). Partial correlation coefficients ranged between 0.07 and 0.77 for the correlations of C-peptide with fasting insulin, homeostatic model of insulin resistance, leptin, fasting blood glucose, triglycerides, glycosylated hemoglobin, waist-hip ratio, systolic blood pressure, and low-density lipoprotein cholesterol (P ≤ 0.025), and were - 0.11 and - 0.17 for high-density lipoprotein cholesterol and adiponectin (P < 0.001). Serum C-peptide slightly improved the predictive performance of the model with conventional predictive factors (0.66 vs. 0.63; P = 0.008).

conclusionWhile the predictive value for subsequent GDM should be validated, early-pregnancy serum C-peptide may be positively associated with risk of GDM.

Indexed as

C-peptideGestational diabetes mellitusPredictionPregnancyRisk factor

Identifiers

PMID35996181
PMCPMC9396763
OpenAlexW4292648225

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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.