Evidence map›Paper›PMID 35845583›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Effective Analysis of Multichannel Functional Electrical Stimulation plus Early Rehabilitation Training for Hemiplegic Patients after Stroke.

Yan Hou, Li Yang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Yan HouDepartment of Internal Medicine, No. 215 Hospital of Shaanxi Nuclear Industry, Xianyang, Shaanxi Province, China.
Li YangDepartment of Internal Medicine, No. 215 Hospital of Shaanxi Nuclear Industry, Xianyang, Shaanxi Province, China.ORCID https://orcid.org/0000-0003-1073-8757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The research paper aims to investigate the value of multichannel functional electrical stimulation (FES) plus early rehabilitation training for hemiplegic patients after stroke attacks and assesses the impact of the combined therapy on walking capacity and daily life activities of patients. Methods: Totally, 100 hemiplegic patients after stroke treated in No. 215 Hospital of Shaanxi Nuclear Industry from March 2019 to July 2020 were recruited and randomized into the control group and study group, with 50 cases in each group. The control group received early rehabilitation training, and the study group received multiple channel FES plus early rehabilitation. The rehabilitation effective rate, the Fugl-Meyer Assessment (FMA), the Berg Balance Scale (BBS), National Institutes of Health Stroke Scale (NIHSS), Barthel index (BI), the Quality of Life index (QLI), Mental Status Scale in Nonpsychiatric Settings (MSSNS), Self-rating Anxiety Scale (SAS), Self-rating depression scale (SDS), and the incidence of adverse response were evaluated. Results: The study group patients had higher scores in FMA, BBS, BI, and QLI than the control group. Multiple channel FES plus early rehabilitation adopted in the study group resulted in a higher rehabilitation efficacy and a longer walking duration at 1, 2, and 4 weeks after the treatment. NIHSS score, MSSNS score, SAS score, SDS score, and incidence rate of adverse response in the study group were significantly lower compared to those of the control group. Conclusions: Multichannel FES plus early rehabilitation training effectively enhances the rehabilitation of patients after stroke attacks.

Identifiers

PMID35845583
PMCPMC9283049
OpenAlexW4284887450

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.