Evidence map›Paper›PMID 28260987›Full record

ArticleInternational journal of medical sciences2017

Prediction of Gestational Diabetes Mellitus by Unconjugated Estriol Levels in Maternal Serum.

Junguk Hur, Eun-Hee Cho, Kwang-Hyun Baek, Kyung Ju Lee

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Combined triple screening and BMI models for gestational diabetes prediction.Turkish journal of obstetrics and gynecology · 2026
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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

4 authors at 4 institutions in 2 countries.

Junguk HurDepartment of Biomedical Sciences, University of North Dakota, Grand Forks, North Dakota, USA.
Eun-Hee ChoDepartment of Internal Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Kwang-Hyun BaekDepartment of Biomedical Science, CHA University, Gyeonggi-Do, Republic of Korea.
Kyung Ju LeeIntegrative Medicine Center, College of Medicine, Korea University, Seoul, Republic of Korea;; Department of Epidemiology and Medical informatics, Graduate School of Public Health, College of Medicine, Korea University, Seoul, Republic of Korea.
CHA University · KRKangwon National University · KRKorea University · KRUniversity of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the association between maternal serum estriol levels, which are routinely measured in the first trimester of pregnancy, and adverse pregnancy outcomes including gestational diabetes. We performed a retrospective chart analysis of women who delivered between July 1, 2007, and December 31, 2009, at Kangnam CHA Medical Center in Seoul, Korea. Only patients with available estriol measurements during their pregnancies and complete follow-up data were included in the study. The effect of estriol on the incidence of adverse pregnancy outcomes was examined using multinomial logistic regression analysis with age and pre-pregnancy body mass index (BMI) as covariates. The total number of subjects was 1,553, the mean age was 32.9 ± 3.7 years, and the mean pre-pregnancy BMI was 21.2 ± 3.0 kg/m

Indexed as

AdultDiabetes, GestationalEstriolFemaleHumansPregnancyPregnancy OutcomePregnancy Trimester, FirstPregnancy Trimester, SecondRetrospective StudiesEstriolEstriolgestational diabetes.pregnancy outcomes

Identifiers

PMID28260987
PMCPMC5332840
OpenAlexW2589259672

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.