Article in European journal of endocrinology, 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.
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
17 authors.
Nasri FatihMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom.
Alun HughesMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom.ORCID 0000-0001-5432-5271
Carole H SudreMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom.
Nishi ChaturvediMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom.ORCID 0000-0002-6211-2775
Victoria GarfieldMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom.ORCID 0000-0002-5127-0890
Richard J SilverwoodCentre for Longitudinal Studies, UCL Social Research Institute, University College London, London WC1H 0AL, United Kingdom.ORCID 0000-0002-2744-1194
George PloubidisCentre for Longitudinal Studies, UCL Social Research Institute, University College London, London WC1H 0AL, United Kingdom.
Thomas D ParkerDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom.
Kirsty LuDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom.ORCID 0000-0002-8416-2183
David M CashDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom.
Ian B MaloneDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom.ORCID 0000-0001-7512-7856
Andrew WongMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom.
Josephine BarnesDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom.
Marcus RichardsMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom.ORCID 0000-0001-9191-2192
Nick C FoxDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom.
Jonathan M SchottDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London WC1N 3AR, United Kingdom.ORCID 0000-0003-2059-024X
Sarah-Naomi JamesMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London WC1E 7HB, United Kingdom.ORCID 0000-0002-3800-4416
Funding
Alzheimer's Research UK PG2014-1946Alzheimer's Research UK PG2017-1946Alzheimer's Society Junior Fellowship AS-JF-17-011Biomedical Research CentreBRUEPA EP-W-17-011J.M.S.Leonard Wolfson Experimental Neurology CentreMedical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/3Medical Research Council Dementias Platform UK CSUB19166MRC National Survey of HealthNIHRUCLUCLHUCL Hospitals Biomedical Research CentreUK Dementia Research InstituteWellcome TrustWellcome Trust 200109/Z/15/ZWolfson Foundation PR/ylr/18575Wolfson Foundation Clinical Research Fellowship
6 · The paper itself
Abstract
Higher HbA1c in mid-to-later life has been associated with smaller whole brain volume (WBV) in older women but not men. We explored whether this association was replicated using different markers of (i) glycaemic health [fasting glucose, insulin resistance (HOMA2-IR), and β-cell function (HOMA-%B)] and (ii) brain structure (white or grey matter volume). 453 participants (51% men) from the 1946 British Birth Cohort had glycaemic measures (at age 60-64) and MRI measures (at age ∼70). In women, higher fasting glucose and insulin resistance at age ∼60 were weakly associated with lower WBV at age ∼70 [eg, fasting glucose: β* = -0.07 (95% CI: -0.13, -0.01), P = .02]. No associations emerged for men for any glycaemic marker. HOMA-%B was not associated with brain outcomes in either sex. Women's later-life brain health may be more vulnerable to midlife hyperglycaemia.
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.
Sex differences between mid-life glycaemic traits and brain volume at age 70: a population-based study. · full record | OpenQuestion