Evidence map›Paper›PMID 39438596›Full record

ArticleScientific reports2024

Gait Training of Healthy Older Adults in a Sitting Position using the Wearable Robot to Assist Arm-swing Rhythm, WALK-MATE ROBOT.

Taiki Ogata, Boming Wen, Ruqing Ye, Yoshihiro Miyake

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Taiki OgataDepartment of Computer Science, Tokyo Institute of Technology, Yokohama, 226-8502, Japan. ogata@c.titech.ac.jp.
Boming WenDepartment of System Control, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.
Ruqing YeDepartment of Computer Science, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.
Yoshihiro MiyakeDepartment of Computer Science, Tokyo Institute of Technology, Yokohama, 226-8502, Japan.

Funding

Japan Society for the Promotion of Science, Japan JP24K00844
6 · The paper itself

Abstract

Although various walking training robots have been developed and their effectiveness has been recognised, operating these robots requires the implementation of safety measures to avoid the risk of falling. This study aimed to confirm whether arm swing rhythm training in the sitting position using an arm swing rhythm-assisted robot, WMR, improved subsequent walking. Healthy older adults (N = 20) performed arm swing rhythm training in a sitting position for 1 min

Indexed as

GaitRoboticsSitting PositionWalkingAccidental FallsAgedArmBiomechanical PhenomenaFemaleHumansMaleWearable Electronic Devices

Identifiers

PMID39438596
PMCPMC11496658

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.