Evidence map›Paper›PMID 33273522›Full record

ArticleScientific reports2020

Metabolic syndrome markers and risk of hyperglycemia in pregnancy: a cross-sectional cohort study.

Joice M Vernini, Bianca F Nicolosi, Mariana A Arantes, Roberto A Costa, Claudia G Magalhães, José E Corrente, Silvana A M Lima, Marilza V Rudge, Iracema M Calderon

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 11 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 1 institution in 1 country.

Joice M VerniniGraduate Program in Obstetrics, Gynecology and Mastology, Botucatu Medical School, São Paulo State University/Unesp, São Paulo, Brazil.
Bianca F NicolosiGraduate Program in Obstetrics, Gynecology and Mastology, Botucatu Medical School, São Paulo State University/Unesp, São Paulo, Brazil.
Mariana A ArantesGraduate Program in Obstetrics, Gynecology and Mastology, Botucatu Medical School, São Paulo State University/Unesp, São Paulo, Brazil.
Roberto A CostaDepartment of Gynecology and Obstetrics, Botucatu Medical School, São Paulo State University/Unesp, Botucatu, SP, Brazil.
Claudia G MagalhãesDepartment of Gynecology and Obstetrics, Botucatu Medical School, São Paulo State University/Unesp, Botucatu, SP, Brazil.
José E CorrenteDepartment of Biostatistics, Botucatu Institute of Biosciences, São Paulo State University/Unesp, São Paulo, Brazil.
Silvana A M LimaDepartment of Nursing, Botucatu Medical School, São Paulo State University/Unesp, São Paulo, Brazil.
Marilza V RudgeGraduate Program in Obstetrics, Gynecology and Mastology, Botucatu Medical School, São Paulo State University/Unesp, São Paulo, Brazil.
Iracema M CalderonGraduate Program in Obstetrics, Gynecology and Mastology, Botucatu Medical School, São Paulo State University/Unesp, São Paulo, Brazil. iracema.calderon@gmail.com.
Universidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim was to assess the role of Metabolic Syndrome (MetS) diagnostic markers, recommended by three different guidelines, in the prediction of hyperglycemia in pregnancy. This cross-sectional cohort study included 506 non-diabetic women, with a singleton pregnancy, who underwent a diagnostic test for hyperglycemia at 24-28 weeks. Clinical, anthropometric, and laboratory data were obtained. The relationship between MetS markers and the risk of hyperglycemia was evaluated by backward stepwise logistic regression analysis (OR, 95% CI). The limit of statistical significance was 95% (p < 0.05). Triglycerides (TG) ≥ 150 mg/dL, blood pressure (BP) ≥ 130/85 mmHg, fasting glucose (FG) ≥ 100 mg/dL, and waist circumference (WC) > 88 cm were identified as independent risk factors for hyperglycemia in pregnancy. These results might help the selective screening of hyperglycemia in pregnancy.

Indexed as

AdultBiomarkersBlood PressureFemaleHumansHyperglycemiaMetabolic SyndromePregnancyPregnancy ComplicationsTriglyceridesWaist CircumferenceBiomarkersTriglycerides

Identifiers

PMID33273522
PMCPMC7713292
OpenAlexW3110486183

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Registered trials

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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.