Evidence map›Paper›PMID 30220102›Full record

SynthesisJournal of diabetes investigation2019

Prevalence of diabetes and its effects on stroke outcomes: A meta-analysis and literature review.

Lik-Hui Lau, Jeremy Lew, Karen Borschmann, Vincent Thijs, Elif I Ekinci

Registry-linked trialAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of diabetes investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06509698 (Comparative Effects of Virtual Reality and Frenkel's Exercises on Balance, Gait and Quality of Life in Patients With Stroke.), which is not on this map. Cited by 211 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing papers in PubMed, 7 pooled it
–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.

NCT06509698 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Comparative Effects of Virtual Reality and Frenkel's Exercises on Balance, Gait and Quality of Life in Patients With Stroke.

TypeinterventionalSponsorRiphah International UniversityRan2024 to 2024Enrolled36ConditionsStrokeArmsvirtual reality, Frenkel's exercise
3 · Its place in the literature

Who cites it

211 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Patient characteristics associated with delayed neurological improvement following acute ischemic stroke: A systematic review and meta-analysis.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2026
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  9. Physical Fitness Training in Patients with Subacute Stroke (PHYS-STROKE): Safety analyses of a randomized clinical trial.International journal of stroke : official journal of the International Stroke Society · 2022
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  15. An integrated investigation of systemic and localized pathophysiological mechanisms of stroke and multimodal therapeutic strategies.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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151 more citing papers are in PubMed but not listed here.

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

5 authors.

Lik-Hui LauDepartment of Endocrinology, Austin Health, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-9323-5655
Jeremy LewDepartment of Endocrinology, Austin Health, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-6734-2636
Karen BorschmannThe Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-5364-2718
Vincent ThijsThe Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-6614-8417
Elif I EkinciDepartment of Endocrinology, Austin Health, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0003-2372-395X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionDiabetes mellitus is an established risk factor for stroke and maybe associated with poorer outcomes after stroke. The aims of the present literature review were to determine: (i) the prevalence of diabetes in acute stroke patients through a meta-analysis; (ii) the association between diabetes and outcomes after ischemic and hemorrhagic stroke; and (iii) to review the value of glycated hemoglobin and admission glucose-based tests in predicting stroke outcomes. MATERIALS AND

methodsOvid MEDLINE and EMBASE searches were carried out to find studies relating to diabetes and inpatient stroke populations published between January 2004 and April 2017. A meta-analysis of the prevalence of diabetes from included studies was undertaken. A narrative review on the associations of diabetes and different diagnostic methods on stroke outcomes was carried out.

resultsA total of 66 eligible articles met inclusion criteria. A meta-analysis of 39 studies (n = 359,783) estimated the prevalence of diabetes to be 28% (95% confidence interval 26-31). The rate was higher in ischemic (33%, 95% confidence interval 28-38) compared with hemorrhagic stroke (26%, 95% confidence interval 19-33) inpatients. Most, but not all, studies found that acute hyperglycemia and diabetes were associated with poorer outcomes after ischemic or hemorrhagic strokes: including higher mortality, poorer neurological and functional outcomes, longer hospital stay, higher readmission rates, and stroke recurrence. Diagnostic methods for establishing diagnosis were heterogeneous between the reviewed studies.

conclusionsApproximately one-third of all stroke patients have diabetes. Uniform methods to screen for diabetes after stroke are required to identify individuals with diabetes to design interventions aimed at reducing poor outcomes in this high-risk population.

Indexed as

AustraliaDiabetes MellitusHumansPrevalencePrognosisRisk FactorsStrokeDiabetesOutcomesStroke

Identifiers

PMID30220102
PMCPMC6497593

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Registered trials

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.