Evidence map›Paper›PMID 35879479›Full record

Observational studyActa diabetologica2022

Impact of pharmacological treatment of gestational diabetes on the mode of delivery and birth weight: a nationwide population-based study on a subset of singleton pregnant Portuguese women.

Diogo Ramalho, Sara Correia, Rodrigo Realista, Gustavo Rocha, Helena Alves, Lúcia Almeida, Eva Ferreira, Sara Monteiro, Maria João Oliveira, Maria Céu Almeida and 1 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Acta diabetologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 3 institutions in 1 country.

Diogo RamalhoEndocrinology Department, Centro Hospitalar de Vila Nova de Gaia / Espinho, Rua Conceição Fernandes S/N, 4434-502, Vila Nova de Gaia, Portugal. silva.josediogo@gmail.com.ORCID http://orcid.org/0000-0003-1981-5982
Sara CorreiaEndocrinology Department, Centro Hospitalar de Vila Nova de Gaia / Espinho, Rua Conceição Fernandes S/N, 4434-502, Vila Nova de Gaia, Portugal.
Rodrigo RealistaObstetrics Department, Centro Hospitalar e Universitário de São João. Alameda Professor Hernâni Monteiro, 4200-319, Porto, Portugal.
Gustavo RochaEndocrinology Department, Centro Hospitalar de Vila Nova de Gaia / Espinho, Rua Conceição Fernandes S/N, 4434-502, Vila Nova de Gaia, Portugal.
Helena AlvesEndocrinology Department, Centro Hospitalar de Vila Nova de Gaia / Espinho, Rua Conceição Fernandes S/N, 4434-502, Vila Nova de Gaia, Portugal.
Lúcia AlmeidaEndocrinology Department, Centro Hospitalar de Vila Nova de Gaia / Espinho, Rua Conceição Fernandes S/N, 4434-502, Vila Nova de Gaia, Portugal.
Eva FerreiraNutrition Department, Centro Hospitalar de Vila Nova de Gaia / Espinho, Rua Conceição Fernandes S/N, 4434-502, Vila Nova de Gaia, Portugal.
Sara MonteiroEndocrinology Department, Centro Hospitalar de Vila Nova de Gaia / Espinho, Rua Conceição Fernandes S/N, 4434-502, Vila Nova de Gaia, Portugal.
Maria João OliveiraEndocrinology Department, Centro Hospitalar de Vila Nova de Gaia / Espinho, Rua Conceição Fernandes S/N, 4434-502, Vila Nova de Gaia, Portugal.
Maria Céu AlmeidaObstetrics Department, Maternidade Bissaya Barreto. Rua Augusta 36, 3000-045, Coimbra, Portugal.
Diabetes and Pregnancy Study Group of the Portuguese Society of Diabetology
Centro Hospitalar de Vila Nova de Gaia · PTHospital de São João · PTInstituto Superior Bissaya Barreto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo access the impact of increasing use of metformin on cesarean section and large for gestational age rates, when compared to insulin.

methodsA retrospective observational study was developed using data from the Portuguese National Registry, between 2011 and 2019, of 5038 Portuguese women with single pregnancies and gestational diabetes treated with metformin and/or insulin. Three groups were defined according to the therapeutic regimen adopted: g1-insulin in monotherapy (n = 3027[60.1%]); g2-metformin in monotherapy (n = 1366[27.1%]); g3-metformin and insulin (n = 645[12.8%]). Multivariate analysis was adjusted for statistically significant covariates.

resultsThe cesarean section rate in g1 was similar to g2 (g1:36.9% vs. g2:37%, p = 0.982), although g3 was associated with cesarean delivery (g3:43.6% vs. g1:36.9%, p = 0.005; g3:43.6% vs. g1:37.0%, p = 0.002), with no differences reported in the multivariate analysis adjusted for year of delivery and pregestational body mass index. A delivery of a large for gestational age newborn was less frequently observed in g2 than in g1 (g2:4.1% vs. g1:5.4%, p = 0.044) and in g3 (g2:4.1% vs. g3:9.1%, p < 0.001), and in g1, when compared to g3 (g1:5.4% vs. g3:9.1%, p < 0.001). In the multivariate analysis, g2 showed lower odds of delivering a large for gestational age newborn, compared to g1 (β = -0.511, OR = 0.596, CI95% = 0.428-0.832, p < 0.001).

conclusionsThe use of metformin was not associated with higher cesarean section rates, compared to insulin. Instead, it was suggested a protective role of metformin on large gestational age rates. The concomitant use of dual therapy suggests more complex pregnancies, requiring closer surveillance that mitigate serious perinatal and obstetrical outcomes.

Indexed as

Diabetes, GestationalMetforminBirth WeightCesarean SectionFemaleHumansInfant, NewbornInsulinPortugalPregnancyInsulinMetforminBirth weightCesarean sectionDiabetesDrug therapyGestationalInsulinMetformin

Identifiers

PMID35879479
OpenAlexW4287577971

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.