Evidence mapPaperPMID 40445939Full record

Observational studyPloS one2025

Glycaemic level and glycaemic variability in acute ischaemic stroke and functional outcome: An observational continuous glucose monitoring study.

Lukana Preechasuk, Siân Rilstone, Wen Xi Tang, Jackie Man, Mingming Yang, Erica Zhao, Lily Hoque, Elif Tuncay, Peter Wilding, Ian Godsland and 4 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 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. Review
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

14 authors.

Lukana PreechasukDepartment of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, United Kingdom.
Siân RilstoneDepartment of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, United Kingdom.
Wen Xi TangImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Jackie ManImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Mingming YangImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Erica ZhaoImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Lily HoqueImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Elif TuncayImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Peter WildingImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Ian GodslandDepartment of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, United Kingdom.
Omid HalseImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Soma BanerjeeImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.
Nick OliverDepartment of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, United Kingdom.ORCID https://orcid.org/0000-0003-3525-3633
Neil E HillImperial College Healthcare N.H.S. Trust, St Mary's Hospital, Praed Street, London, United Kingdom.ORCID https://orcid.org/0000-0002-4359-2646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlycaemic variability has been associated with poor outcomes in critically ill patients. We aimed to study the association between glycaemic variability and functional outcome in patients with acute ischaemic stroke using continuous glucose monitoring to ensure all episodes of hyper- and hypoglycaemia were captured. RESEARCH DESIGN AND

methodsParticipants with acute ischaemic stroke were enrolled and started blinded continuous glucose monitoring (Dexcom G6) between November 2020 and December 2022. Glucose data from the first 72 hours after admission were analysed. Patients were classified into 3 groups based on change in functional status (Modified Rankin Scale) between admission and discharge. These included (i) remained independent (RI); (ii) deteriorated to dependent (DD); and (iii) remained dependent (RD).

resultsData of 67 patients (mean±SD age 72.1 ± 14 years) were analysed; 19 participants had diabetes. The median (IQR) National Institutes of Health Stroke Scale (NIHSS) was 8 (3,14), and 34.3% received reperfusion therapy. The percentage of patients with RI, DD, and RD was 25.4, 55.2, 19.4%. Patients with DD had older age, higher rate of atrial fibrillation, systolic blood pressure, rate of in-hospital infection, NIHSS at admission and at 24 hours after reperfusion therapy compared to those RI. Continuous glucose monitoring was started at 38.4 (29.5,51) hours after stroke onset. Those with DD had higher mean glucose, %time above 180 mg/dL, and glucose standard deviation than the RI group at discharge. Multivariate analysis showed only an association between NIHSS at admission and deterioration in functional status.

conclusionsIn this pilot study, an association between glycaemic variability and functional deterioration after acute ischaemic stroke was not observed. Clinical Trial Registration numberNCT04521634.

Indexed as

Blood GlucoseIschemic StrokeAgedAged, 80 and overContinuous Glucose MonitoringFemaleHumansHypoglycemiaMaleMiddle AgedMonitoring, PhysiologicBlood Glucose

Identifiers

PMID40445939
PMCPMC12124563

What Socratic 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 Socratic graph.