Evidence map›Paper›PMID 33277541›Full record

ArticleScientific reports2020

Risk prediction model of gestational diabetes mellitus based on nomogram in a Chinese population cohort study.

Xiaomei Zhang, Xin Zhao, Lili Huo, Ning Yuan, Jianbin Sun, Jing Du, Min Nan, Linong Ji

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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  10. Risk Factors for Gestational Diabetes Mellitus in Mainland China: A Systematic Review and Meta-Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Review
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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

8 authors at 3 institutions in 1 country.

Xiaomei ZhangDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Xin ZhaoDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Lili HuoDepartment of Endocrinology, Beijing Jishuitan Hospital, Beijing, China.
Ning YuanDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Jianbin SunDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Jing DuDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Min NanDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Linong JiDepartment of Endocrinology, Peking University People's Hospital, Beijing, 100001, China. jiln@bjmu.edu.cn.
Peking University · CNPeking University International Hospital · CNBeijing Jishuitan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To build a risk prediction model of gestational diabetes mellitus using nomogram to provide a simple-to-use clinical basis for the early prediction of gestational diabetes mellitus (GDM). This study is a prospective cohort study including 1385 pregnant women. (1) It is showed that the risk of GDM in women aged ≥ 35 years was 5.5 times higher than that in women aged < 25 years (95% CI: 1.27-23.73, p < 0.05). In the first trimester, the risk of GDM in women with abnormal triglyceride who were in their first trimester was 2.1 times higher than that of lipid normal women (95% CI: 1.12-3.91, p < 0.05). The area under the ROC curve of the nomogram of was 0.728 (95% CI: 0.683-0.772), the sensitivity and specificity of the model were 0.716 and 0.652, respectively. This study provides a simple and economic nomogram for the early prediction of GDM risk in the first trimester, and it has certain accuracy.

Indexed as

AdultArea Under CurveAsian PeopleBlood GlucoseCohort StudiesDiabetes, GestationalFemaleHumansLogistic ModelsModels, StatisticalNomogramsPregnancyPregnancy Trimester, FirstProspective StudiesRisk FactorsROC CurveBlood GlucoseTriglycerides

Identifiers

PMID33277541
PMCPMC7718223
OpenAlexW3110210200

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.