Evidence map›Paper›PMID 40401817›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2025

Pregnancy outcomes in women with young-onset type 2 diabetes: the impact of age of diabetes diagnosis and duration of diabetes.

Xi May Zhen, Glynis Ross, Amanda Gauld, Alberto Nettel-Aguirre, Stephanie Noonan, Maria Constantino, Arianne Sweeting, Anna-Jane Harding, Adam Mackie, Hend Chatila and 5 more

Abstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Xi May ZhenDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8333-4502
Glynis RossDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Amanda GauldDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Alberto Nettel-AguirreDepartment of Paediatrics, University of Calgary, Calgary, Alberta, Canada.
Stephanie NoonanDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Maria ConstantinoDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Arianne SweetingDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Anna-Jane HardingDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Adam MackieWomen and Babies, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Hend ChatilaWomen and Babies, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Margaret McGillDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Timothy MiddletonDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9719-2306
Ted WuDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Stephen TwiggDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Jencia WongDepartment of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-0321-9553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsYoung-onset type 2 diabetes mellitus (YT2DM) is an aggressive phenotype, with some claiming that diagnosis at <40 years of age represents a distinct higher risk group. Others have suggested restricting YT2DM to those diagnosed at <30 years of age. In this context, we examined whether pregnancy outcomes differ between women diagnosed with YT2DM at <30 years of age (T2D30) versus those diagnosed at 30 to <40 years of age (T2D40).

methodsThis retrospective analysis (2010-2019) compared pregnancy outcomes in women with pre-gestational T2D30 versus T2D40. Co-primary outcomes included preterm delivery, large for gestational age (LGA) infants, and pre-eclampsia.

resultsCompared to T2D40 (N = 69), T2D30 (N = 66) were significantly younger, had a longer duration of diabetes, and had higher rates of smoking (p <0.05 for all). In both groups, obesity affected ≥60% of women and similar rates of preterm delivery and LGA infants were seen. Women with T2D30 had at least a twofold increase in the adjusted odds of excess gestational weight gain (GWG). Rates of proteinuria and pre-eclampsia were increased in T2D30, although significance was lost following adjustment for factors such as glycaemia. Younger age of YT2DM diagnosis and longer duration of YT2DM (as continuous variables), but not maternal age, were independently associated with higher mean pregnancy HbA1c and excess GWG (p <0.05 for both).

conclusionsAn earlier age of YT2DM diagnosis and/or longer duration of YT2DM were associated with excess GWG and a higher mean-pregnancy HbA1c. Rates of pre-eclampsia and proteinuria were increased in T2D30, likely mediated at least in part by factors such as glycaemia. Our findings suggest that the age of YT2DM diagnosis and/or duration of YT2DM, not just maternal age, should be considered when assessing pregnancy risks.

Indexed as

Diabetes Mellitus, Type 2Pregnancy in DiabeticsPregnancy OutcomeAdultAge FactorsAge of OnsetFemaleFetal MacrosomiaGestational Weight GainHumansMaternal AgePre-EclampsiaPregnancyPremature BirthRetrospective StudiesTime Factorspregnancytype 2 diabetesyoung adults

Identifiers

PMID40401817
PMCPMC12257436

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LicenceCC BY-NC-ND
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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.