Evidence map›Paper›PMID 29858213›Full record

ArticleEndocrine connections2018

Polycystic ovary syndrome and risk factors for gestational diabetes.

Sanna Mustaniemi, Marja Vääräsmäki, Johan G Eriksson, Mika Gissler, Hannele Laivuori, Hilkka Ijäs, Aini Bloigu, Eero Kajantie, Laure Morin-Papunen

Open access · goldAbstract read
In one paragraph

Article in Endocrine connections, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.0field-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

35 citing papers in PubMed, 66 citations in OpenAlex.

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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

9 authors at 7 institutions in 2 countries.

Sanna MustaniemiPublic Health Promotion UnitNational Institute for Health and Welfare, Helsinki, Finland sanna.mustaniemi@student.oulu.fi.
Marja VääräsmäkiPublic Health Promotion UnitNational Institute for Health and Welfare, Helsinki, Finland.
Johan G ErikssonDepartment of General Practice and Primary Health CareUniversity of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Mika GisslerInformation Services DepartmentNational Institute for Health and Welfare, Helsinki, Finland.
Hannele LaivuoriMedical and Clinical GeneticsUniversity of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Hilkka IjäsPublic Health Promotion UnitNational Institute for Health and Welfare, Helsinki, Finland.
Aini BloiguPEDEGO Research UnitMRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
Eero KajantiePublic Health Promotion UnitNational Institute for Health and Welfare, Helsinki, Finland.
Laure Morin-PapunenPEDEGO Research UnitMRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.
Oulu University Hospital · FIUniversity of Oulu · FIFinnish Institute for Health and Welfare · FIHelsinki University Hospital · FIKarolinska Institutet · SETampere University · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the roles of self-reported symptoms and/or prior diagnosis of polycystic ovary syndrome (PCOS) and other potential risk factors for gestational diabetes mellitus (GDM) and to clarify whether the screening of GDM in early pregnancy is beneficial for all women with PCOS.

designThe FinnGeDi multicentre case-control study including 1146 women with singleton pregnancies diagnosed with GDM and 1066 non-diabetic pregnant women. There were 174 women with PCOS (symptoms and/or diagnosis self-reported by a questionnaire) and 1767 women without PCOS (data missing for 271).

methodsThe study population (

resultsThe prevalence of PCOS was 10.4% among GDM women and 7.4% among non-diabetics (odds ratios (OR) 1.44, 95% CI: 1.05-1.97), but PCOS was not an independent risk for GDM after adjustments for participants' age and pre-pregnancy BMI (OR 1.07, 95% CI: 0.74-1.54). In a multivariate logistic regression analysis, the most significant parameters associated with GDM were overweight, obesity, age ≥35 years, participant's mother's history of GDM, either parent's history of type 2 diabetes (T2D) and participant's own preterm birth.

conclusionsThe increased risk of GDM in women with PCOS was related to obesity and increased maternal age rather than to PCOS itself, suggesting that routine early screening of GDM in PCOS women without other risk factors should be reconsidered. Instead, family history of GDM/T2D and own preterm birth were independent risk factors for GDM.

Indexed as

BMIfamily history of diabetesgestational diabetes mellitusobesitypolycystic ovary syndrome

Identifiers

PMID29858213
PMCPMC6026881
OpenAlexW2922478889

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.