Evidence map›Paper›PMID 38213741›Full record

ArticleFrontiers in global women's health2023

Cardiometabolic health across menopausal years is linked to white matter hyperintensities up to a decade later.

Louise S Schindler, Sivaniya Subramaniapillai, Ananthan Ambikairajah, Claudia Barth, Arielle Crestol, Irene Voldsbekk, Dani Beck, Tiril P Gurholt, Anya Topiwala, Sana Suri and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in global women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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 at 7 institutions in 5 countries.

Louise S SchindlerLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
Sivaniya SubramaniapillaiLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
Ananthan AmbikairajahDiscipline of Psychology, Faculty of Health, University of Canberra, Canberra, Australia.
Claudia BarthDepartment of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.
Arielle CrestolDepartment of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.
Irene VoldsbekkDepartment of Psychology, University of Oslo, Oslo, Norway.
Dani BeckDepartment of Psychology, University of Oslo, Oslo, Norway.
Tiril P GurholtNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Anya TopiwalaNuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Sana SuriDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Klaus P EbmeierDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Ole A AndreassenNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Bogdan DraganskiLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
Lars T WestlyeDepartment of Psychology, University of Oslo, Oslo, Norway.
Ann-Marie G de LangeLREN, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
University of Oslo · NOUniversity of Oxford · GBUniversity of Lausanne · CHAustralian National University · AUDiakonhjemmet Hospital · NOMax Planck Institute for Human Cognitive and Brain Sciences · DEOslo University Hospital · NO

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction: The menopause transition is associated with several cardiometabolic risk factors. Poor cardiometabolic health is further linked to microvascular brain lesions, which can be detected as white matter hyperintensities (WMHs) using T2-FLAIR magnetic resonance imaging (MRI) scans. Females show higher risk for WMHs post-menopause, but it remains unclear whether changes in cardiometabolic risk factors underlie menopause-related increase in brain pathology. Methods: In this study, we assessed whether cross-sectional measures of cardiometabolic health, including body mass index (BMI) and waist-to-hip ratio (WHR), blood lipids, blood pressure, and long-term blood glucose (HbA1c), as well as longitudinal changes in BMI and WHR, differed according to menopausal status at baseline in 9,882 UK Biobank females (age range 40-70 years, Results: Postmenopausal females showed higher levels of baseline blood lipids (HDL Discussion: Our findings emphasise the importance of monitoring cardiometabolic risk factors in females from midlife through the menopause transition and into the postmenopausal phase, to ensure improved cerebrovascular outcomes in later years.

Indexed as

body anthropometricsbrain healthcardiometabolic healthfemale healthmenopauseUK Biobankwhite matter hyperintensities

Identifiers

PMID38213741
PMCPMC10783171
OpenAlexW4390056247

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.