Evidence map›Paper›PMID 35251575›Full record

ArticleJournal of healthcare engineering2022

Effects of Systemic Rehabilitation Nursing Combined with WeChat Publicity and Education on the Early Cognitive Function and Living Quality of the Patients with Cerebral Arterial Thrombosis.

Zheng Jin, Fang Guo, Yan Li

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Continuous Nursing Intervention Based on Network Interactive in Early Diabetic Kidney Disease Patients.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  8. Article
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

3 authors.

Zheng JinDepartment of Neurosurgery, Tianjin Huanhu Hospital, Tianjin 300350, China.ORCID 0000-0001-7979-3151
Fang GuoDepartment of Neurosurgery, Tianjin Huanhu Hospital, Tianjin 300350, China.
Yan LiDepartment of Neurosurgery, Tianjin Huanhu Hospital, Tianjin 300350, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effects of systemic rehabilitation nursing combined with WeChat publicity and education on the early cognitive function and living quality of the patients with cerebral arterial thrombosis.

methodsNinety-two patients with cerebral arterial thrombosis treated in our hospital (January 2019-January 2021) were selected as the research objects and equably divided into control group and study group according to their nursing model, with 46 patients in each group. The control group received routine nursing, while the study group received systemic rehabilitation nursing combined with WeChat publicity and education based on the routine nursing. The early cognitive functions, living quality, and other observation indexes of the two groups after nursing were compared, and the intervention effects were evaluated.

resultsNo statistical difference in the general data was observed between the two groups (

conclusionThe systemic rehabilitation nursing combined with WeChat publicity and education can effectively reduce the degree of neurological deficit of the patients with cerebral arterial thrombosis, improve their early cognitive function and motor function, and increase their daily living ability and prognostic living quality.

Indexed as

Rehabilitation NursingStrokeStroke RehabilitationThrombosisActivities of Daily LivingCognitionHumansTreatment Outcome

Identifiers

PMID35251575
PMCPMC8894030

What OpenQuestion holds

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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.