Evidence map›Paper›PMID 38978906›Full record

ArticleCureus2024

Glucose Fluctuations in Acute Ischemic Stroke.

Antigoni Fountouki, Thomas Tegos, Elizabeth Psoma, Keli Makedou, Nikolaos Kakaletsis, Georgia Kaiafa, Triantafyllos Didangelos, Dimitrios Theofanidis, Christos Savopoulos

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

9 authors.

Antigoni FountoukiDepartment of Nursing, International Hellenic University, Thessaloniki, GRC.
Thomas Tegos1st Department of Neurology, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
Elizabeth PsomaDepartment of Radiology, AHEPA University General Hospital, Aristotle University, Thessaloniki, GRC.
Keli MakedouLaboratory of Biochemistry, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
Nikolaos Kakaletsis1st Propaedeutic Department of Internal Medicine, AHEPA University General Hospital, Aristotle University, Thessaloniki, GRC.
Georgia Kaiafa1st Propaedeutic Department of Internal Medicine, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
Triantafyllos Didangelos1st Propaedeutic Department of Internal Medicine/Diabetic Care Unit, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
Dimitrios TheofanidisDepartment of Nursing, International Hellenic University, Thessaloniki, GRC.
Christos Savopoulos1st Propaedeutic Department of Internal Medicine, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Oxfordshire Community Stroke Project denotes four subtypes of ischemic stroke (total and partial anterior infarct, posterior, and lacunar). Hyperglycemia has been associated with a larger infarct size and poor prognosis.

aimThe purpose of the study was to investigate the correlation of glucose fluctuations with the Oxford sub-categories and patient outcomes using a blinded continuous glucose monitoring system.

methodsThis is a non-interventional prospective observational study. Stroke patients with symptoms onset in the last 24h, participated in the study. A glucose sensor was placed for 72 hours. Disability was assessed using the modified Rankin Scale. Stroke subtypes were compared with total mean glucose and time in range using ANOVA analysis. Multiple ordinal logistic regression was employed to analyze outcomes and survival.

resultsThe sample consisted of 105 diabetic and non-diabetic patients. The overall mean glucose was 127.06 mg/dL and the time in range (70-140 mg/dL) was 70.98%. There was no significant difference between the stroke sub-categories and the total mean glucose. For every one-point increase in the time in range, we expect a 1.5% reduction in the odds of having a worse outcome. Patients with total anterior infarct are 2.31 times more likely to have a worse outcome than lacunar patients.

conclusionThe utilization of the Oxford classification may not be necessary for managing acute ischemic stroke glucose levels. Achieving glucose regulation and an increase in time in range can be attained through meticulous control, potentially extending life expectancy. Continuous glucose monitors may aid in achieving this objective.

Indexed as

cgmhyperglycemiainfarct topographyoxfordshire community stroke projectstroke

Identifiers

PMID38978906
PMCPMC11229048

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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.