Evidence map›Paper›PMID 30200916›Full record

ArticleBMC pregnancy and childbirth2018

Evaluation of neonatal and maternal morbidity in mothers with gestational diabetes: a population-based study.

Grzegorz Domanski, Anja Erika Lange, Till Ittermann, Heike Allenberg, Robert Andreas Spoo, Marek Zygmunt, Matthias Heckmann

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 5 pooled it
7.7field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 5 syntheses or guidelines pooled it, 102 citations in OpenAlex.

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  5. A Systematic Review of the Prevalence of Gestational Diabetes in Norway.International journal of environmental research and public health · 2021
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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

7 authors at 1 institution in 1 country.

Grzegorz DomanskiDepartment of Neonatology and Pediatric Intensive Care, University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, 17487, Greifswald, Germany.
Anja Erika LangeDepartment of Neonatology and Pediatric Intensive Care, University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, 17487, Greifswald, Germany. anja.lange@uni-greifswald.de.
Till IttermannInstitute for Community Medicine, Div. SHIP - Clinical Epidemiological Research, University Medicine Greifswald, Walter Rathenau Str. 48, 17475, Greifswald, Germany.
Heike AllenbergDepartment of Neonatology and Pediatric Intensive Care, University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, 17487, Greifswald, Germany.
Robert Andreas SpooDepartment of Neonatology and Pediatric Intensive Care, University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, 17487, Greifswald, Germany.
Marek ZygmuntDepartment of Gynecology and Obstetrics, University Medicine Greifswald, Ferdinand-Sauerbruch-Str, 17487, Greifswald, Germany.
Matthias HeckmannDepartment of Neonatology and Pediatric Intensive Care, University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, 17487, Greifswald, Germany.
Universitätsmedizin Greifswald · DE

Funding

Bundesamt für Strahlenschutz StSCH 4493Bundesministerium für Bildung und Forschung 01 ZZ 0103Bundesministerium für Bildung und Forschung ZZ 96030Federal State of Mecklenburg-Western-Pomerania UG 07 034
6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is the most frequent complication during pregnancy. Untreated GDM is a severe threat to maternal and neonatal health. Based on recent evidence, up to 15% of all pregnancies may be affected by GDM. We hypothesized that in a rural birth cohort, higher maternal BMI and adverse socioeconomic conditions would promote GDM, which in turn would lead to adverse effects on pregnancy outcomes.

methodsThe current study is a part of a population-based cohort study examining the health and socioeconomic information from 5801 mothers and their children. The study, titled the Survey of Neonates in Pomerania (SNiP), was based in northeastern Pomerania, Germany (2002-2008).

resultsThe cumulative incidence of GDM was 5.1%. Multiple logistic regression revealed prepregnancy overweight (OR 1.84 (95% CI 1.27-2.68)), prepregnancy obesity (OR 3.67 (2.48-5.44)) and maternal age (OR 1.06 (1.03-1.08)) as risk factors for GDM (p = 0.001). Alcohol use during pregnancy (OR 0.61 (0.41-0.90), a higher monthly income (OR 0.62 (0.46-0.83)), and the highest level of education (OR 0.44 (0.46-0.83)) decreased the risk of GDM. Newborns of GDM mothers had an increased risk of hypoglycaemia (OR 11.71 (7.49-18.30)) or macrosomia (OR 2.43 (1.41-4.18)) and were more often delivered by primary (OR 1.76 (1.21-2.60)) or secondary C-section (OR 2.00 (1.35-2.97)). Moreover, they were born 0.78 weeks (95% CI -1.09 - -0.48 weeks) earlier than infants of mothers without diabetes, resulting in higher percentage of late preterm infants with a gestational age of 32-36 weeks (11.1% vs. 6.96%).

conclusionsAge and BMI before pregnancy were the predominant mediators of the increased risk of GDM, whereas a higher income and educational level were protective. GDM affected relevant perinatal and neonatal outcomes based on its association with an increased risk of delivery by C-section, preterm birth, macrosomia at birth and neonatal hypoglycaemia.

Indexed as

AdultCohort StudiesDiabetes, GestationalFemaleGermanyHealth SurveysHumansIncidenceInfant, NewbornInfant, Newborn, DiseasesMothersPregnancyPregnancy OutcomeRisk FactorsYoung AdultGestational diabetes mellitusPregnancyRisk factorsSNiPSurvey of neonates in Pomerania

Identifiers

PMID30200916
PMCPMC6131836
OpenAlexW2892227297

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.