Evidence map›Paper›PMID 36346488›Full record

ArticleActa diabetologica2023

Impact of Covid-19 on rates of gestational diabetes in a North American pandemic epicenter.

Nathalie Auger, Shu Qin Wei, Natalie Dayan, Ugochinyere V Ukah, Caroline Quach, Antoine Lewin, Jessica Healy-Profitós, Aimina Ayoub, Jungmin Chang, Thuy Mai Luu

Open access · bronzeAbstract read
In one paragraph

Article in Acta diabetologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 27 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

10 authors at 5 institutions in 2 countries.

Nathalie AugerUniversity of Montreal Hospital Research Centre, Montreal, QC, Canada. nathalie.auger@inspq.qc.ca.ORCID http://orcid.org/0000-0002-2412-0459
Shu Qin WeiInstitut national de santé publique du Québec, Montreal, QC, Canada.
Natalie DayanDepartment of Medicine, McGill University, Montreal, QC, Canada.
Ugochinyere V UkahInstitut national de santé publique du Québec, Montreal, QC, Canada.
Caroline QuachSainte-Justine Hospital Research Centre, University of Montreal, Montreal, QC, Canada.
Antoine LewinDepartment of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke, QC, Canada.
Jessica Healy-ProfitósUniversity of Montreal Hospital Research Centre, Montreal, QC, Canada.
Aimina AyoubUniversity of Montreal Hospital Research Centre, Montreal, QC, Canada.
Jungmin ChangUniversity of Montreal Hospital Research Centre, Montreal, QC, Canada.
Thuy Mai LuuSainte-Justine Hospital Research Centre, University of Montreal, Montreal, QC, Canada.
Institut National de Santé Publique du Québec · CACentre Hospitalier Universitaire Sainte-Justine · CAHéma-Québec · CAMcGill University · CAMcGill University Health Centre · CA

Funding

CIHR 950-232656CIHR PUU-177957Fonds de Recherche du Québec - Santé 296785
6 · The paper itself

Abstract

aimsWe assessed the impact of Covid-19 on gestational diabetes rates in Quebec, the pandemic epicenter of Canada.

methodsWe conducted a population-based study of 569,686 deliveries in Quebec between 2014 and 2021. We measured gestational diabetes rates in wave 1 (March 1, 2020-August 22, 2020) and wave 2 (August 23, 2020-March 31, 2021), compared with the prepandemic period. We used interrupted time series regression to assess changes in gestational diabetes rates during each wave, and log-binomial regression models to estimate adjusted risk ratios (RR) and 95% confidence intervals (CI) for the association of the pandemic with gestational diabetes. We identified the types of patients that contributed to the change in gestational diabetes rates using Kitagawa's decomposition.

resultsGestational diabetes rates were higher during the first (13.2 per 100 deliveries) and second waves (14.3 per 100 deliveries) than during the prepandemic period (12.4 per 100 deliveries). Risk of gestational diabetes increased both in wave 1 (RR 1.05, 95% CI 1.02-1.09) and wave 2 (RR 1.14, 95% CI 1.10-1.18), compared with the prepandemic period. However, most of the increase in gestational diabetes rates was driven by low-risk women without Covid-19 infections who were socioeconomically advantaged, had no comorbidity, and were 25-34 years of age.

conclusionsGestational diabetes rates increased during the pandemic, mainly among women traditionally at low risk of hyperglycemia who did not have Covid-19 infections. Sudden widespread changes in screening or lifestyle can have a large impact on gestational diabetes rates in a population.

Indexed as

COVID-19Diabetes, GestationalCanadaComorbidityFemaleHumansPandemicsPregnancyCovid-19Gestational diabetesInterrupted time series analysisPandemicsPregnancySocioeconomic factors

Identifiers

PMID36346488
PMCPMC9640820
OpenAlexW4308569326

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.