Evidence map›Paper›PMID 30120081›Full record

ArticleEBioMedicine2018

Bile acid metabolites in early pregnancy and risk of gestational diabetes in Chinese women: A nested case-control study.

Jing Li, Xiaoxu Huo, Yun-Feng Cao, Sai-Nan Li, Zuo Du, Ping Shao, Junhong Leng, Cuiping Zhang, Xiao-Yu Sun, Ronald C W Ma and 2 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Effect ofNutrients · 2021
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  20. TheFrontiers in endocrinology · 2022
    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

12 authors at 4 institutions in 1 country.

Jing LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Xiaoxu HuoDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Yun-Feng CaoKey Laboratory of Liaoning Tumor Clinical Metabolomics (KLLTCM), Jinzhou, Liaoning, China; RSKT Biopharma Inc, Dalian, Liaoning, China.
Sai-Nan LiDepartment of Toxicology, School of Public Health, Tianjin Medical University, Tianjin, China.
Zuo DuDepartment of Toxicology, School of Public Health, Tianjin Medical University, Tianjin, China.
Ping ShaoTianjin Women and Children's Health Center, Tianjin, China.
Junhong LengTianjin Women and Children's Health Center, Tianjin, China.
Cuiping ZhangTianjin Women and Children's Health Center, Tianjin, China.
Xiao-Yu SunKey Laboratory of Liaoning Tumor Clinical Metabolomics (KLLTCM), Jinzhou, Liaoning, China; RSKT Biopharma Inc, Dalian, Liaoning, China.
Ronald C W MaDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Zhong-Ze FangDepartment of Toxicology, School of Public Health, Tianjin Medical University, Tianjin, China. Electronic address: fangzhongze@tmu.edu.cn.
Xilin YangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China. Electronic address: yangxilin@tmu.edu.cn.
Tianjin Medical University · CNTianjin Children's Hospital · CNJinzhou Medical University · CNPrince of Wales Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBile acid metabolism plays an important role in metabolism but it is uncertain whether bile acid metabolites in early pregnancy are associated with risk of gestational diabetes mellitus (GDM).

methodsWe organized a 1:1 case-control study nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in China: 243 women with GDM were matched with 243 non-GDM controls on age (±1 year). Conditional logistic regression and restricted cubic spline were used to examine full-range associations of bile acid metabolites with GDM.

findingsAll the 9 detectable bile acids were inversely associated with the risk of GDM, among them, 8 in nonlinear and one in largely linear manners in multivariable analysis. Glycoursodeoxycholic acid (GUDCA) at ≤0.07 nmol/mL and deoxycholic acid (DCA) at ≤0.28 nmol/mL had threshold effects and their decreasing levels below the cutoff points were associated with rapid rises in the risk of GDM. In traditional risk factor model, the stepwise procedure identified that GUDCA ≤ 0.07 nmol/mL and DCA ≤ 0.280 nmol/mL were still significant (OR: 6.84, 95%CI: 1.10-42.48 & 2.06, 1.26-3.37), while other bile acids were not. Inclusion of the two bile acids in the model increased the area under operating characteristic's curve from 0.69 to 0.76 (95% CI: 0.71-0.80) (P < .05).

interpretationSerum GUDCA ≤ 0.07 nmol/mL and DCA ≤ 0.28 nmol/mL in early pregnancy were independently associated with increased risk of GDM in Chinese pregnant women.

fundingTalent Recruitment Scheme grant of Tianjin Medical University and National Key Research and Development Program, etc.

Indexed as

Asian PeopleMetabolomeAdultBile Acids and SaltsCase-Control StudiesDiabetes, GestationalFemaleHumansOdds RatioPregnancyRisk FactorsROC CurveBile Acids and SaltsBile acidsEarly-onset markerGestational diabetes mellitusMetabolismMetabolomics

Identifiers

PMID30120081
PMCPMC6161472
OpenAlexW2885109150

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.