Evidence map›Paper›PMID 41608091›Full record

ArticleWorld journal of diabetes2026

Association between prediabetes and higher risk of mortality following acute ischemic stroke: A meta-analysis.

Bhavin Patel, Kshitij Mahajan, Arankesh Mahadevan, Rishika Trivedi, Avleen Dhingra, Samrath Singh Brar, Sakshi Dixit, Rupak Desai

Abstract read
In one paragraph

Article in World journal of diabetes, 2026. 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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0citing papers in PubMed
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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

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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

8 authors.

Bhavin PatelDepartment of Internal Medicine, Trinity Health Oakland Hospital, Pontiac, MI 48341, United States.
Kshitij MahajanDepartment of Internal Medicine, Trinity Health Oakland/Wayne State University, Pontiac, MI 48341, United States.
Arankesh MahadevanDepartment of Neurology, University of Utah Health, Salt Lake City, UT 84132, United States.
Rishika TrivediDepartment of Internal Medicine, DHR Health, Edinburg, TX 78539, United States.
Avleen DhingraDepartment of Medicine, Dayanand Medical College and Hospital, Ludhiana 141001, Punjab, India.
Samrath Singh BrarDepartment of Internal Medicine, Trinity Health Livonia Hospital, Livonia, MI 48154, United States.
Sakshi DixitDepartment of Internal Medicine, Cleveland Clinic Akron General Medical Center, Akron, OH 44307, United States.
Rupak DesaiOutcomes Research, Independent Researcher, Atlanta, GA 30033, United States. drrupakdesai@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediabetes increases the risk of cardiovascular and cerebrovascular mortality. This study examines the relationship between prediabetes and mortality in post-stroke patients.

aimTo determine whether prediabetes is associated with increased post-stroke mortality in adults with acute ischemic stroke (IS).

methodsA systematic search was conducted in PubMed/MEDLINE, Scopus, and Google Scholar databases until May 2023 to identify relevant articles reporting on the association of prediabetes with IS mortality. A random-effects model was used to calculate odds ratio (OR), heterogeneity was assessed using

resultsOur analysis of 11 studies included 84833 prediabetic patients with a mean follow-up time of 20.9 months. The prediabetes cohort comprised patients of an average age of 67 years from various countries, including Korea, Italy, Japan, China, Spain, and the Netherlands. Although, the unadjusted analysis showed no significant association between prediabetes and post-stroke mortality (OR = 1.06, 95%CI: 0.51-2.19) with high heterogeneity (

conclusionOur findings suggest that prediabetes is associated with a nearly 68% higher mortality risk following a stroke. Thereby warranting more prospective studies with prediabetes to validate these findings.

Indexed as

HyperglycemiaMeta-analysisMortalityPrediabetesStroke

Identifiers

PMID41608091
PMCPMC12836001

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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.