Evidence map›Paper›PMID 28603663›Full record

ArticleCurrent physical medicine and rehabilitation reports2016

The Present and Future of Robotic Technology in Rehabilitation.

Jeffrey Laut, Maurizio Porfiri, Preeti Raghavan

Registry-linked trialAbstract read
In one paragraph

Article in Current physical medicine and rehabilitation reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06137456 (First Report of a New Exoskeleton in Incomplete Spinal Cord Injury), which is not on this map. Cited by 49 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 4 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.

NCT06137456 nacompletednot on this mapstarted 2022, after this paper: background citation

First Report of a New Exoskeleton in Incomplete Spinal Cord Injury: FreeGait®

TypeinterventionalSponsorAnkara City Hospital BilkentRan2022 to 2023Enrolled14ConditionsSpinal Cord Injuries, Walking, DifficultyArmsExoskeletal robotic therapy for walking., Conventional exercise therapy
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Perceptions and Experiences of a Multimodal Rehabilitation Program for People With Post-Acute COVID-19: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Trial
  7. Trial
  8. The classification of walking and phases of gait using EEG: a scoping review.Journal of neuroengineering and rehabilitation · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Jeffrey LautNew York University Tandon School of Engineering.
Maurizio PorfiriNew York University Tandon School of Engineering.
Preeti RaghavanNew York University School of Medicine.

Funding

Strategies for recovery of dexterity post strokeR01HD071978 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RAGHAVAN, PREETI · 2013 to 2017
$3.4M
NICHD NIH HHS R01 HD071978
6 · The paper itself

Abstract

Robotic technology designed to assist rehabilitation can potentially increase the efficiency of and accessibility to therapy by assisting therapists to provide consistent training for extended periods of time, and collecting data to assess progress. Automatization of therapy may enable many patients to be treated simultaneously and possibly even remotely, in the comfort of their own homes, through telerehabilitation. The data collected can be used to objectively assess performance and document compliance as well as progress. All of these characteristics can make therapists more efficient in treating larger numbers of patients. Most importantly for the patient, it can increase access to therapy which is often in high demand and rationed severely in today's fiscal climate. In recent years, many consumer grade low-cost and off-the-shelf devices have been adopted for use in therapy sessions and methods for increasing motivation and engagement have been integrated with them. This review paper outlines the effort devoted to the development and integration of robotic technology for rehabilitation.

Indexed as

gamingmedical devicespatient adherencerehabilitationrehabilitation engineeringroboticsstroketelerehabilitation

Identifiers

PMID28603663
PMCPMC5461931

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.