Evidence map›Paper›PMID 40912889›Full record

ArticleOpen heart2025

Left ventricular remodelling and vascular adaptation to pregnancy in women with type 1 diabetes.

Ása Wraae Olsen, Anne Nødgaard Weidemann Sørensen, Sidsel Linneberg Rathcke, Trine Tang Christensen, Jens Brøndum Frøkjær, Peter Søgaard, Tomas Zaremba

Abstract read
In one paragraph

Article in Open heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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.

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

7 authors.

Ása Wraae OlsenDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark a.wraae@rn.dk.ORCID http://orcid.org/0009-0008-2058-0440
Anne Nødgaard Weidemann SørensenDepartment of Obstetrics and Gynaecology, Randers Regional Hospital, Randers, Denmark.ORCID http://orcid.org/0000-0003-2191-4138
Sidsel Linneberg RathckeDepartment of Obstetrics and Gynaecology, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-5408-2684
Trine Tang ChristensenDepartment of Endocrinology, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-9756-8705
Jens Brøndum FrøkjærDepartment of Radiology, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-8722-0070
Peter SøgaardDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-7441-0630
Tomas ZarembaDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-6365-6638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence regarding cardiovascular adaptation to pregnancy in women with pregestational diabetes is limited. Our study aimed to describe left ventricular (LV) remodelling and vascular adaptation to pregnancy in women with type 1 diabetes.

methodsIn this prospective cohort study, three consecutive cardiac MRI scans were conducted on age-matched and BMI-matched pregnant women with pregestational type 1 diabetes and pregnant women without diabetes. The scans were performed at gestational weeks 15-20, 26-30 and 34-37 from November 2020 to April 2023. Data collection and analysis included LV imaging results, brachial blood pressure and stroke volume derived functional vascular parameters.

resultsThe study included 24 women with pregestational type 1 diabetes and 39 controls. Compared with controls, women with type 1 diabetes had significantly reduced LV end-diastolic volume index: 64.2±11.1 mL/m

conclusionOur study provides evidence of impaired LV remodelling and suboptimal vascular adaptation to pregnancy in women with type 1 diabetes when compared to women without diabetes. The clinical implications of these findings, particularly their association with the development of later cardiovascular disease, require further investigation.

Indexed as

Adaptation, PhysiologicalDiabetes Mellitus, Type 1Heart VentriclesPregnancy in DiabeticsVentricular Function, LeftVentricular RemodelingAdultFemaleFollow-Up StudiesHumansMagnetic Resonance Imaging, CinePregnancyProspective StudiesStroke VolumeCardiomyopathiesDiabetes MellitusHypertensionMagnetic Resonance ImagingPregnancy

Identifiers

PMID40912889
PMCPMC12414166

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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.