Evidence map›Paper›PMID 23229289›Full record

ArticlePediatric cardiology2013

Disorders in glucidic metabolism and congenital heart diseases: detection and prevention.

G Passarella, G Trifirò, M Gasparetto, G Svaluto Moreolo, O Milanesi

Abstract read
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In one paragraph

Article in Pediatric cardiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 20 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

5 authors at 2 institutions in 1 country.

G PassarellaStruttura Operativa Complessa di Pediatria, Ospedale Santa Maria della Misericordia, Viale Tre Martiri n° 140, CAP 45100, Rovigo, Italy. gio.passarella@gmail.com
G Trifirò
M Gasparetto
G Svaluto Moreolo
O Milanesi
Ospedale Santa Maria · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of gestational diabetes (GDM) through appropriate screening and its subsequent treatment have not been demonstrated to limit neonatal malformations to date. This study aimed to detect congenital heart diseases in newborns of mothers with GDM by evaluating the existence of a correlation with maternal glycemic control. This observational prospective study investigated newborns of mothers with GDM enrolled during a period of 9 months. Four subgroups were considered according to the type of maternal glucidic alteration during pregnancy and the home treatment: impaired glucose tolerance, insulin-dependent gestational diabetes mellitus (IDDM), non-insulin-dependent gestational diabetes mellitus (NIDDM), and gestational diabetes not controlled (NC: untreated diabetes). Student's t test was used to compare the subgroups. The study enrolled 65 newborns (30 boys) born to 82 of mothers with impaired glucidic metabolism. Patent ductus arteriosus was observed in 11 patients (16.9 %), pulmonary stenosis of mild grade in 4 patients ( 6.2 %), and hypertrophy of the ventricular septum in 22 patients (33.8 %). A total of 14 patients had increased thickness in the left ventricle posterior wall, and 17 patients had an abnormal electrocardiogram. Hyperglycemia can influence the development of the fetal heart, affecting both its structure and its function. A treatment with insulin for women with GDM is supported by the study data.

Indexed as

Chi-Square DistributionDiabetes, GestationalEchocardiographyFemaleGlucose Tolerance TestHeart Defects, CongenitalHumansHypoglycemic AgentsInfant, NewbornInsulinMalePregnancyProspective StudiesHypoglycemic AgentsInsulin

Identifiers

PMID23229289
OpenAlexW2005991385

What OpenQuestion holds

Textmetadata
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.