Evidence map›Paper›PMID 40546259›Full record

ArticleFrontiers in neurology2025

Effect of PDCA-optimized good limb positioning on hemiparetic rehabilitation outcomes in acute cerebral infarction.

Wei Liu, Guangyan Yao, Zhihui Song, Xin He

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

4 authors.

Wei LiuDepartment of Neurology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Guangyan YaoDepartment of Neurology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Zhihui SongDepartment of Neurology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xin HeDepartment of Neurology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Proper limb positioning plays a vital role in the early rehabilitation of patients with acute cerebral infarction (ACI), preventing complications such as muscle atrophy and joint contractures while promoting functional recovery. However, inconsistent implementation limits its effectiveness. This study evaluates the impact of the Plan-Do-Check-Act (PDCA) cycle management model in optimizing good limb positioning and improving rehabilitation outcomes. Methods: A prospective cohort study was conducted involving 300 hemiplegic ACI patients, with 150 patients receiving standard limb positioning care (control group) and 150 patients treated using the PDCA-optimized protocol (intervention group). The study was approved by The Ethics Committee of Central Hospital Affiliated to Shandong First Medical University (approval number: 20241104006). Outcomes included adherence rates, self-efficacy, quality of life (SF-36), activities of daily living (ADL), and secondary complications such as limb spasticity. Results: The intervention group demonstrated significantly higher adherence rates (88.0% vs. 48.0%, Conclusion: The PDCA cycle significantly enhances the implementation of good limb positioning, improving functional recovery, reducing secondary complications, and optimizing rehabilitation timelines for ACI patients. This study highlights the utility of PDCA in standardizing care practices and promoting better clinical outcomes. Further research should explore its broader application in diverse clinical settings.

Indexed as

acute cerebral infarctionearly rehabilitationfunctional recoverygood limb positioningPDCA cycle

Identifiers

PMID40546259
PMCPMC12180300

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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.