Evidence map›Paper›PMID 23049517›Full record

ArticleFrontiers in psychology2012

A transformative subfield in rehabilitation science at the nexus of new technologies, aging, and disability.

Carolee J Winstein, Philip S Requejo, Elizabeth M Zelinski, Sara J Mulroy, Eileen M Crimmins

Abstract read
In one paragraph

Article in Frontiers in psychology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. New evidence for therapies in stroke rehabilitation.Current atherosclerosis reports · 2013
    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

5 authors.

Carolee J WinsteinDivision Biokinesiology and Physical Therapy at the Herman Ostrow School of Dentistry, University of Southern California Los Angeles, CA, USA ; Department of Neurology, Keck School of Medicine, University of Southern California Los Angeles, CA, USA.
Philip S Requejo
Elizabeth M Zelinski
Sara J Mulroy
Eileen M Crimmins

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We argue that a silo research and training approach is no longer sufficient to provide real solutions to the complex humanitarian, social, and financial problems brought about by global trends in aging and the increased prevalence of multiple chronic conditions that limit independence and activities of daily living. This perspective highlights the opportunities for collaborative research and training in a new multidisciplinary science of rehabilitation enabled by growing knowledge and information along scientifically and clinically meaningful lines. The recent proliferation of eHealth technologies offers opportunities for development of low-cost, simple, interactive media prevention, health maintenance, and continued functional recovery programs using a chronic care model designed to promote engagement and participation. With two examples - long-term disability consequential to (1) hip fracture and (2) manual wheelchair use - we outline the developing science for a collaborative and transformative nexus team capable of accelerating an understanding of ways to restore independence and improve quality of life, in the long-term. We conclude with a set of recommendations for the design of interactive media systems to both increase acceptability and stimulate research.

Indexed as

agingchronic care modeldisabilityeHealthinteractive mediaquality of liferehabilitationtechnology

Identifiers

PMID23049517
PMCPMC3448347

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.