Evidence map›Paper›PMID 41262972›Full record

ArticleFrontiers in neurology2025

Acute stroke in persons 85 years or older-clinical characteristics, impact of frailty, and predictors of outcome.

Johan Sanner, Bente Thommessen, Mia von Euler, Jakob O Ström, Brynjar Fure

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Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Johan SannerFaculty of Medicine and Health, School of Medical Sciences, Örebro University, Örebro, Sweden.
Bente ThommessenDepartment of Neurology, Division of Medicine, Akershus University Hospital, Lorenskog, Norway.
Mia von EulerSophiahemmet University, Stockholm, Sweden.
Jakob O StrömDepartment of Neurology, Faculty of Medicine and Health, School of Medical Sciences, Örebro University, Örebro, Sweden.
Brynjar FureFaculty of Medicine and Health, School of Medical Sciences, Örebro University, Örebro, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stroke cases among older people will increase due to demographic changes, necessitating an optimization of care strategies for this population. We aimed to examine clinical characteristics, prognostic factors, and the impact of frailty in an older stroke cohort. Patients and methods: We consecutively included 120 patients aged ≥85 years with acute ischemic or hemorrhagic stroke at a regional hospital in Sweden. Baseline characteristics, etiological subclassification, National Institutes of Health Stroke Scale (NIHSS) on admission, pre- and post-stroke functional level and frailty, measured by the modified Rankin Scale (mRS), the Barthel ADL Index (BI), and the Clinical Frailty Scale (CFS), were recorded. Regression analyses were conducted to evaluate predictors of death or poor functional outcome, defined as an mRS of ≥4, at 3 months. Results: The mean age was 89.1 years and 57.5% were women. Ischemic strokes accounted for 90.8% and atrial fibrillation was diagnosed in 55.8%. Overall, 26.6% received reperfusion therapy. At 3 months, the mortality and poor functional outcomes were 35.8 and 54.2%, respectively. A multivariate regression analysis identified age ≥89 years, BI ≤70, CFS ≥ 7 prior to stroke, total anterior circulation infarction, NIHSS ≥15 on admission, and post-stroke dysphagia as independent predictors of death or poor outcome. Discussion and conclusion: We found a high prevalence of cardioembolic disease in older people with stroke, emphasizing the importance of diagnosing atrial fibrillation and optimizing anticoagulant treatment. In addition to well-known predictors, severe frailty prior to stroke and post-stroke dysphagia predicted poor outcome. In the growing older stroke population, assessment of frailty may be beneficial in decision-making regarding interventions and direction of care.

Indexed as

frailtyolderoutcomepredictorsstroke

Identifiers

PMID41262972
PMCPMC12623169

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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.