Evidence map›Paper›PMID 25496671›Full record

ArticleBMC neurology2014

Subcortical white matter infarcts predict 1-year outcome of fatigue in stroke.

Wai Kwong Tang, Yang Kun Chen, Hua Jun Liang, Winnie Chiu Wing Chu, Vincent Chung Tony Mok, Gabor S Ungvari, Ka Sing Wong

Registry-linked trialAbstract read
In one paragraph

Article in BMC neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07231172 (Frequency of Post-stroke Fatigue and Its Relationship With Clinical Parameters), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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.

NCT07231172 recruitingnot on this mapstarted 2024, after this paper: background citation

Frequency of Post-stroke Fatigue and Its Relationship With Clinical Parameters

Typeobservational_patient_registrySponsorAnkara UniversityRan2024 to 2026Enrolled107ConditionsStroke, Fatigue, Poststroke Fatigue
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Neuroimaging correlates of post-stroke fatigue: A systematic review and meta-analysis.International journal of stroke : official journal of the International Stroke Society · 2023
    Pooled it
  2. Related risk factors associated with post-stroke fatigue: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
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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

7 authors.

Wai Kwong TangDepartment of Psychiatry, Chinese University of Hong Kong, Hong Kong, SAR, China. tangwk@cuhk.edu.hk.
Yang Kun ChenDepartment of Neurology, Dongguan People's Hospital, Dongguan, Guangdong, PR China. davis78@cuhk.edu.hk.
Hua Jun LiangDepartment of Psychiatry, Chinese University of Hong Kong, Hong Kong, SAR, China. hedy.huajunliang@gmail.com.
Winnie Chiu Wing ChuDepartment of Imaging and Interventional Radiology, Chinese University of Hong Kong, Hong Kong, SAR, China. winnie@med.cuhk.edu.hk.
Vincent Chung Tony MokDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, SAR, China. vctmok@cuhk.edu.hk.
Gabor S UngvariThe University of Notre Dame Australia/Marian Centre, Perth, Australia. sungvari@e.cuhk.edu.hk.
Ka Sing WongDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, SAR, China. ks-wong@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFatigue is common in stroke survivors. Lesion location may influence the risk of poststroke fatigue (PSF) but it is uncertain whether location has an impact on the prognosis of PSF. This study examined the association between PSF outcome and infarct location.

methodsThe study sample comprised 435 Chinese patients with acute ischemic stroke admitted to the acute stroke unit of a university affiliated regional hospital in Hong Kong. Three and fifteen months after the onset of the index stroke a research assistant administered the Fatigue Severity Scale (FSS). PSF was defined as a FSS score of 4.0 or above. Of the 139 patients with PSF three months poststroke, 97 (69.8%) attended the 15-month follow-up, when 50 (51.5%) patients still had PSF ('non-remitters') and 47 (48.5%) did not report fatigue ('remitters'). The presence and location of infarcts were evaluated with magnetic resonance imaging.

resultsIn comparison with the remitters, the non-remitters were more likely to have subcortical white matter infarcts (40.0% vs 21.3%, p = 0.046). These infarcts remained an independent predictor of non-remission of PSF in the multivariate analysis, with an odds ratio of 4.208 (p = 0.011).

conclusionsThe results suggest that subcortical white matter infarcts may influence the outcome of PSF. Further investigations are needed to explore whether infarcts have any impact on the response of PSF to pharmacological or psychological interventions.

Indexed as

Outcome Assessment, Health CareAgedBrain IschemiaFatigueFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisStrokeWhite Matter

Identifiers

PMID25496671
PMCPMC4272810

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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.