Evidence map›Paper›PMID 41321434›Full record

ArticleSAGE open nursing

Post-Stroke Fatigue in Patients at 3 Months After Ischemic Stroke: Analysis From the FRAILTY Study.

Šárka Šaňáková, Elena Gurková, Daniela Bartoníčková, Lenka Štureková, David Franc, Jana Zapletalová, Petra Divišová, Daniel Šaňák

Registry-linked trialAbstract read
In one paragraph

Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04839887 (Factors Affecting the Quality of Life After Ischemic Stroke in Young Adults), which is not on this 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.

NCT04839887 recruitingnot on this map

Factors Affecting the Quality of Life After Ischemic Stroke in Young Adults: a Prospective Observational Study in Young Ischemic Stroke Patients Under 50 Years

TypeobservationalSponsorElena GurkovaRan2021 to 2026Enrolled520ConditionsIschemic Stroke
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.

Šárka ŠaňákováDepartment of Nursing, Faculty of Health Sciences, Palacký University, Olomouc, Czechia.ORCID https://orcid.org/0000-0002-9072-5915
Elena GurkováDepartment of Nursing, Faculty of Health Sciences, Palacký University, Olomouc, Czechia.
Daniela BartoníčkováDepartment of Nursing, Faculty of Health Sciences, Palacký University, Olomouc, Czechia.
Lenka ŠturekováDepartment of Nursing, Faculty of Health Sciences, Palacký University, Olomouc, Czechia.
David FrancComprehensive Stroke Center, Department of Neurology, Palacký Medical School and University Hospital, Olomouc, Czechia.
Jana ZapletalováDepartment of Biophysics and Statistics, Palacký University Medical School, Olomouc, Czechia.
Petra DivišováComprehensive Stroke Center, Department of Neurology, Palacký Medical School and University Hospital, Olomouc, Czechia.
Daniel ŠaňákComprehensive Stroke Center, Department of Neurology, Palacký Medical School and University Hospital, Olomouc, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Post-stroke fatigue (PSF) is a known sequel after ischemic stroke (IS), which affects quality of life (QoL), however its incidence and contributing factors remain controversial or not enough established, especially in younger population in working age. Objectives: To assess PSF in patients in working age (18-65 years) at 3 months after IS and evaluate its possible association to other factors. Methods: Consecutive patients with IS in working age enrolled in the prospective FRAILTY (Factors Affecting the Quality of Life After Ischemic Stroke in Young Adults; ClinicalTrials.gov: NCT04839887) were analyzed. PSF was assessed using Fatigue Severity Scale (FSS) and Neuro_QoL_Fatigue scale, post-stroke depression (PSD) and anxiety (PSA) using Hospital Anxiety and Depression Scale at 3 months after IS. QoL was evaluate using Stroke Impact Scale (SIS), version 3.0. Logistic regression analysis (LRA) was performed to identify possible predictors of PSF. Results: In total, 150 (54.0% males, mean age 51.2 ± 8.9 years) were analyzed and 132 (88%) had excellent clinical outcome after 3 months. PSF, based on the FSS, was present in 55.3% of patients and severe PSF in 41.3% of them. LRA showed the significant association between SIS domains memory, emotions, communication, mobility and participation and the presence of severe PSF (FSS score > 5). PSD and PSA were found as other predictors of severe PSF. No association was found between PSF and age, sex, and clinical outcome. Conclusions: Despite overall excellent clinical outcome, severe PSF occurred in 41.3% of patients in working age after 3 months post-stroke. PSF affected strongly QoL and may have close relationship to psychosocial factors and cognition. Routine screening for PSF should be incorporated into post-stroke follow up, especially for working-age patients.

Indexed as

fatiguequality of lifestrokeworkyoung adult

Identifiers

PMID41321434
PMCPMC12657779

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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.