Evidence map›Paper›PMID 37927286›Full record

Trial reportNeuroRehabilitation2023

Ankle rehabilitation robot training for stroke patients with foot drop: Optimizing intensity and frequency.

Qingfang Zhang, Yulong Wang, Mingchao Zhou, Dongxia Li, Jie Yan, Quanquan Liu, Chunbao Wang, Lihong Duan, Dianrui Hou, Jianjun Long

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in NeuroRehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Effect and optimal exercise prescription of robot-assisted gait training on lower extremity motor function in stroke patients: a network meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  4. 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

10 authors at 4 institutions in 1 country.

Qingfang ZhangDepartment of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Yulong WangDepartment of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Mingchao ZhouDepartment of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Dongxia LiDepartment of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Jie YanSchool of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Quanquan LiuDepartment of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Chunbao WangDepartment of Research and Development, Guangdong Mingkai Medical Robot Co., Ltd., Zhuhai, China.
Lihong DuanDepartment of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Dianrui HouDepartment of Rehabilitation, Nan'ao People's Hospital of Shenzhen, Shenzhen, China.
Jianjun LongDepartment of Rehabilitation, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.
Shenzhen Second People's Hospital · CNShandong University of Traditional Chinese Medicine · CNGuangxi University of Science and Technology · CNShenZhen People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic solutions for ankle joint physical therapy have extensively been researched. The optimal frequency and intensity of training for patients when using the ankle robot is not known which can affect rehabilitation outcome.

objectiveTo explore the optimal ankle robot training protocol on foot drop in stroke subjects.

methodsSubjects were randomly divided into four groups, with 9 in each group. The subjects received different intensities (low or high intensity) with frequencies (1 session/day or 2 sessions/day) of robot combination training. Each session lasted 20 minutes and all subjects were trained 5 days a week for 3 weeks.

resultsAfter 3 weeks of treatment, all groups showed an improvement in passive and active ankle dorsiflexion range of motion (PROM and AROM) and Fugl-Meyer Assessment for lower extremity (FMA-LE) compared to pre-treatment. When training at the same level of intensity, patients who received 2 sessions/day of training had better improvement in ankle dorsiflexion PROM than those who received 1 session/day. In terms of the improvement in dorsiflexion AROM and FMA-LE, patients who received 2 sessions/day with high intensity training improved better than other protocols.

conclusionHigh frequency and high intensity robot training can be more effective in improving ankle dysfunction.

Indexed as

Peroneal NeuropathiesRoboticsStrokeStroke RehabilitationAnkleAnkle JointHumansParesisTreatment OutcomeAnkle jointfoot droproboticsstroke rehabilitation

Identifiers

PMID37927286
PMCPMC10789316
OpenAlexW4388077826

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.