Evidence map›Paper›PMID 33477651›Full record

ArticleJournal of clinical medicine2021

Contributing Factors to Perinatal Outcome in Pregnancies with Gestational Diabetes-What Matters Most? A Retrospective Analysis.

Friederike Weschenfelder, Friederike Hein, Thomas Lehmann, Ekkehard Schleußner, Tanja Groten

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.8field-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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Overlap of Gestational Diabetes Mellitus and Pre-eclampsia: A Scoping Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    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

5 authors at 2 institutions in 1 country.

Friederike WeschenfelderDepartment of Obstetrics, University Hospital Jena, 07747 Jena, Germany.ORCID 0000-0002-2903-391X
Friederike HeinDepartment of Obstetrics, University Hospital Jena, 07747 Jena, Germany.
Thomas LehmannInstitute of Medical Statistics and Computer Science, University Hospital Jena, Friedrich Schiller University, 07747 Jena, Germany.
Ekkehard SchleußnerDepartment of Obstetrics, University Hospital Jena, 07747 Jena, Germany.
Tanja GrotenDepartment of Obstetrics, University Hospital Jena, 07747 Jena, Germany.ORCID 0000-0003-3553-4056
Jena University Hospital · DEFriedrich Schiller University Jena · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of diabetes care of pregnant women with gestational diabetes mellitus (GDM) is to attain pregnancy outcomes including rates of large-for-gestational-age (LGA) newborns, pre-eclampsia, C-sections (CS) and other neonatal outcomes similar to those of the non-GDM pregnant population. Obesity and excessive weight gain during pregnancy have been shown to also impact perinatal outcome. Since GDM is frequently associated with elevated body mass index (BMI), we evaluated the impact of maternal prepregnancy BMI, development of GDM and gestational weight gain (GWG) during pregnancy on perinatal outcome. We compared 614 GDM patients with 5175 non-diabetic term deliveries who gave birth between 2012 and 2016. Multivariate regression analysis was used to evaluate the independent contribution of each factor on selected perinatal outcome variables. Additionally, subgroup analysis for obese (BMI ≥ 30 kg/m

Indexed as

body mass indexC-sectiongestational diabetesgestational weight gainlarge for gestational ageNICUobesityperinatal outcomes

Identifiers

PMID33477651
PMCPMC7831502
OpenAlexW3125279489

What OpenQuestion holds

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LicenceCC BY
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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.