Evidence map›Paper›PMID 40224310›Full record

ReviewFrontiers in neurology2025

Advances in hemiplegia rehabilitation: modern therapeutic interventions to enhance activities of daily living.

Jing Xiong, Jin-Tian Wang, Shu Lin, Bao-Yuan Xie

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. 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

4 authors.

Jing Xiong *Department of Nursing, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Jin-Tian Wang *Department of Colorectal Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Shu LinCentre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Bao-Yuan XieDepartment of Nursing, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemiplegia severely impairs patients' abilities to perform activities of daily living (ADL), thus affecting their overall quality of life and independence. Often caused by stroke or other forms of brain injury, hemiparesis causes long-term impairment of upper and lower limb function, hindering the patient's ability to manage self-care. With advances in modern rehabilitation medicine, emerging therapeutic interventions such as electrophysiological feedback, virtual reality, and robot-assisted therapy are increasingly being applied to the rehabilitation of hemiplegic patients. These interventions, combined with precise technical support through individualized training, have been shown to be effective in improving upper and lower limb function as well as enhancing ADL abilities of hemiplegic patients. This paper reviews recent advances in modern hemiplegic rehabilitation therapeutic interventions, assesses their impact on improving ADL performance, and examines their effectiveness in improving functional outcomes and quality of life for patients. These findings suggest that modern rehabilitation approaches have significant clinical potential to provide more personalized and effective treatment strategies for people with hemiplegia.

Indexed as

activities of daily livinghemiplegiamodern rehabilitation techniquesrehabilitationtherapeutic interventions

Identifiers

PMID40224310
PMCPMC11985468

What OpenQuestion holds

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Registered trials

None linked

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.