Evidence map›Paper›PMID 39186763›Full record

Observational studyJMIR formative research2024

Current Status of Outcomes Reported by Patients With Stroke and an Analysis of Influencing Factors: Cross-Sectional Questionnaire Study.

Jia Sun, Liang Ma, Xiao Miao, Hui Sun, SuSu Zhu, Ran Zhang, LeLe Fan, TingTing Hu

Abstract readObservational Study
In one paragraph

Observational study in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Observational
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.

Jia Sun *Nursing Department, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China.ORCID 0009-0004-7451-7587
Liang Ma *Nursing Department, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China.ORCID 0000-0001-8671-5119
Xiao Miao *Nursing Department, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China.ORCID 0009-0000-0065-3122
Hui Sun *Department of Medicine, Southeast University, Nanjing, China.ORCID 0009-0000-1350-5647
SuSu Zhu *Nursing Department, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China.ORCID 0009-0009-6389-3815
Ran Zhang *Nursing Department, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China.ORCID 0009-0005-9848-0536
LeLe Fan *Nursing Department, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China.ORCID 0009-0007-0895-5230
TingTing Hu *Nursing Department, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China.ORCID 0009-0001-5424-1868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is the leading cause of acquired disability and the second leading cause of death worldwide. Its rate of incidence, disability, mortality, and recurrence is high, and the patients experience various symptoms of discomfort, which not only affect their rehabilitation function but also reduce their ability to perform daily activities and their quality of life. Nowadays, with the improvement of China's medical standards, patients are increasingly attentive to their quality of life and health status. However, diagnostic techniques and effective treatments for patients with stroke are still limited but urgently required.

objectiveThis study aimed to evaluate the quality of life during hospitalization using a stroke patient-reported outcomes (PROs) scale and additionally to recognize potential factors and risk indicators that may impact recurrent events, facilitating early intervention measures.

methodsThis is a registry-based, retrospective observational cross-sectional study on patients with stroke. A convenient sampling method was used to select various indicators of patients. The Stroke-PRO scale was then used to assess patients' conditions across physical, psychological, social, and therapeutic domains. Multiple linear regression analysis was applied to identify factors influencing stroke PROs, while correlation analysis was conducted to explore the relationship between these outcomes and blood lipid levels.

resultsThe mean Stroke-PRO score in this study was 4.09 (SD 0.29) points. By multiple linear regression analysis, residence, occupation, physical exercise, Barthel index, Braden scale, National Institutes of Health Stroke Scale scores at admission, and stroke type were the risk factors for reported outcomes of patients with stroke (P<.05). Correlation analysis showed that serum triglyceride, total cholesterol, and low-density lipoprotein were negatively correlated with Stroke-PRO scores in patients with stroke (P<.05), while high-density lipoprotein was positively correlated with patients with stroke (P<.05). The 95% CI was -0.31 to -0.03 for triglyceride, 0.17-0.44 for high-density lipoprotein, -0.29 to -0.01 for cholesterol, -0.30 to -0.02 for low-density lipoprotein, and -0.12 to 0.16 for blood glucose.

conclusionsPatients with stroke have a low level of health, and their reported outcomes need to be improved. Accordingly, nursing staff should pay attention to the quality of life and blood lipid indexes of patients with stroke, actively assess their actual health status, and take early intervention measures to promote their recovery.

Indexed as

Patient Reported Outcome MeasuresQuality of LifeStrokeAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesStroke RehabilitationSurveys and Questionnairesblood lipidscorrelation analysisinfluence factornursing carepatient-reported outcomesstroke

Identifiers

PMID39186763
PMCPMC11384171

What OpenQuestion holds

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LicenceCC BY
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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.