Evidence map›Paper›PMID 34078945›Full record

ArticleScientific reports2021

Metabolic syndrome in women with previous gestational diabetes.

Karsten Kaiser, Michael Festersen Nielsen, Ervin Kallfa, Greta Dubietyte, Finn Friis Lauszus

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  12. Towards precision medicine in bariatric surgery prescription.Reviews in endocrine & metabolic disorders · 2023
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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 3 countries.

Karsten KaiserSygehus Sønderjylland, Aabenraa, Denmark.ORCID 0000-0002-4139-8145
Michael Festersen NielsenSygehus Sønderjylland, Aabenraa, Denmark.ORCID 0000-0003-0948-1202
Ervin KallfaSygehus Sønderjylland, Aabenraa, Denmark.ORCID 0000-0003-0674-2374
Greta DubietyteSygehus Sønderjylland, Aabenraa, Denmark.ORCID 0000-0002-5888-6006
Finn Friis LauszusSygehus Sønderjylland, Aabenraa, Denmark. finn.lauszus@rsyd.dk.ORCID 0000-0003-3274-690X
Sygehus Sønderjylland · DKAllen Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the incidence and timing of the diagnosis of metabolic syndrome in a cohort of Danish women after a pregnancy with gestational diabetes (GDM) to estimate the optimum time for preventative actions in relation to metabolic syndrome (MetS). In this follow-up study, 435 women were included from a consecutive cohort with prior history of GDM. Data on dyslipidemia, hypertension and other cardiovascular disorders (CVD) were extracted from the electronic patient journal. Any antidiabetic, cardiovascular and cholesterol-lowering medicine was ascertained in the national prescription database. Similarly, any blood test taken was evaluated. We defined a patient having MetS if the criteria of the WHO based definition of diabetes or impaired glucose regulation were met. Further, we added as alternative for glucose intolerance, a glycosylated hemoglobin (HbA1c) > 44 mmol/mol or the former level ≥ 6.5%. Further, dyslipidemia, lipid lowering medications, BMI > 30 kg/m

Indexed as

AdultDiabetes, GestationalFemaleFollow-Up StudiesGlucose Tolerance TestGlycated HemoglobinHumansMetabolic SyndromeMiddle AgedPregnancyYoung AdultGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID34078945
PMCPMC8172609
OpenAlexW3165040643

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.