Evidence map›Paper›PMID 34828631›Full record

ArticleHealthcare (Basel, Switzerland)2021

Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study.

Seungwon Kwon, Chul Jin, Seung-Yeon Cho, Seong-Uk Park, Woo-Sang Jung, Sang-Kwan Moon, Jung-Mi Park, Chang-Nam Ko, Ki-Ho Cho

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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.

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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Seungwon KwonDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.ORCID 0000-0002-1857-3515
Chul JinDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.
Seung-Yeon ChoDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.ORCID 0000-0003-3149-9759
Seong-Uk ParkDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.ORCID 0000-0002-4617-2719
Woo-Sang JungDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.
Sang-Kwan MoonDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.
Jung-Mi ParkDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.
Chang-Nam KoDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.
Ki-Ho ChoDepartment of Cardiology and Neurology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea.
Kyung Hee University · KR

Funding

National Research Foundation of Korea NRF-2018R1C1B5086119
6 · The paper itself

Abstract

Post-stroke fatigue (PSF) is one of the most common emotional and mood disorders in stroke survivors. Several studies have suggested associations between PSF and various factors. However, they describe conflicting results. Therefore, this study aimed to evaluate the factors affecting PSF. We retrospectively reviewed the medical records of 178 hospitalized stroke patients. The collected data were compared between the PSF and control groups. To evaluate the association between factors and PSF, regression analysis was conducted. A total of 96 patients (53.9%) were assigned to the PSF group, and 82 patients were assigned to the control group. Age, neurological deficits, cognitive dysfunction, degree of depression, hs-CRP, and ESR differed significantly between the two groups. For both types of stroke, multiple linear regression analyses showed that degree of depression and degree of inflammation were significantly associated with PSF. Through subgroup analysis, multiple linear regression analyses showed that the degree of depression in ischemic and hemorrhagic stroke and the platelet-to-lymphocyte ratio in hemorrhagic stroke had a significant association with PSF. In conclusion, post-stroke depression and degree of inflammation could be clinically significant predictors of PSF in all types of stroke patients. However, larger, prospective studies are required to obtain more concrete results.

Indexed as

cognitive dysfunctiondepressionplatelet to lymphocyte ratiopost-stroke fatigueretrospective chart review study

Identifiers

PMID34828631
PMCPMC8621383
OpenAlexW3217268231

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Registered trials

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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.