Evidence map›Paper›PMID 41432691›Full record

ReviewRestorative neurology and neuroscience2026

Ten Recommendations for Improving Research on Stroke Motor Rehabilitation: A Unified Perspective.

Chandramouli Krishnan, Thomas E Augenstein, Rajiv Ranganathan

Abstract readReview
In one paragraph

Review in Restorative neurology and neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Chandramouli KrishnanDirector of the Neuromuscular & Rehabilitation Robotics Laboratory (NeuRRo Lab), Professor in the Departments of Physical Medicine and Rehabilitation, Biomedical Engineering, Mechanical Engineering, Michigan Neuroscience Institute, and School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-7278-7389
Thomas E AugensteinPost-doctoral Researcher in the Neuromuscular and Rehabilitation Robotics Laboratory (NeuRRo Lab), Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-2781-3066
Rajiv RanganathanDirector of the Motor Learning and Rehabilitation Engineering (MOTRE) Lab and Associate Professor in the Departments of Kinesiology and Mechanical Engineering, Michigan State University, East Lansing, USA.ORCID 0000-0002-6924-253X

Funding

Functional implications of stroke and Botulinum Neurotoxin on ankle stiffness and viscosity during gaitR01HD111567 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHANDRAMOULI KRISHNAN, Elliott J Rouse · 2023 to 2026
$2.5M
NICHD NIH HHS R01 HD111567
6 · The paper itself

Abstract

Stroke motor rehabilitation research is critical for improving functional recovery and quality of life. However, the success of therapeutic interventions is highly dependent on the theoretical basis and methodological rigor of the studies that evaluate them. This paper outlines ten essential recommendations/guidelines for stroke motor rehabilitation research aimed at enhancing the scientific quality and reliability of findings. Our recommendations span issues related to mechanistic understanding, methodological rigor, and transparency, while providing specific suggestions for implementation in the context of stroke motor rehabilitation research. To improve our mechanistic understanding of

Indexed as

Rehabilitation ResearchStrokeStroke RehabilitationHumansRecovery of Functionartificial intelligenceclinical trialdevicedrughemiparesismachine learningoccupational therapyphysical therapyscientific rigor

Identifiers

PMID41432691
PMCPMC12967000

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.