The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Predicting Activities after Stroke: What is Clinically Relevant?
Abstract
Knowledge about factors that determine the final outcome after stroke is important for early stroke management, rehabilitation goals, and discharge planning. This narrative review provides an overview of current knowledge about the prediction of activities after stroke. We reviewed the pattern of stroke recovery for functions and activities, the impact of spontaneous recovery on activities, and the measurement of improvement in general. We explored the activities profiles during the chronic phase and predictors for activities of daily living independence after stroke, and finally, we discussed where to from here? Mathematical regularities explain the nonlinear patterns of recovery, making the outcome of activities of daily living highly predictable. Initial severity of disability and extent of improvement observed within the first weeks poststroke are important indicators of the outcome at six-months. The sequence of progress in activities is almost fixed in time. Studies showed that most motor recovery is almost completed within 10 weeks poststroke. On average, stroke recovery plateaus three- to six-months after onset. Strong evidence was found that age and scores on scales assessing severity of neurological deficits in the early poststroke phase are strongly associated with the final basic activities of daily living outcome after three-months poststroke. The validated prediction models using simple algorithms, such as National Institutes of Health Stroke Scale or Barthel Index, need to be implemented in rehabilitation services and used for stratifying stroke patients in trials. Future studies should investigate the accuracy of dynamic models that includes time poststroke to optimize the application of prediction rules in individuals with stroke.
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Self-citationPlasticity during stroke recovery: from synapse to behaviour
Murphy, T. H., & Corbett, D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2735 · Cited by 1,938
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Self-citationPrognosis and prognostic research: what, why, and how?
Moons, K. G. M., Royston, P., Vergouwe, Y., Grobbee, D. E., & Altman, D. G. (2009) · BMJ · doi:10.1136/bmj.b375 · Cited by 1,337
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Recovery of walking function in stroke patients: The copenhagen stroke study
Jørgensen, H. S., Nakayama, H., Raaschou, H. O., & Olsen, T. S. (1995) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/s0003-9993(95)80038-7 · Cited by 1,164
Effects of Augmented Exercise Therapy Time After Stroke: A Meta-Analysis
Kwakkel, G., van Peppen, R., Wagenaar, R. C., Wood Dauphinee, S., Richards, C., Ashburn, A., Miller, K., Lincoln, N., Partridge, C., Wellwood, I., et al. (2004) · Stroke · doi:10.1161/01.str.0000143153.76460.7d · Cited by 1,081
Self-citationRecovery of upper extremity function in stroke patients: The Copenhagen stroke study
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Clinical interpretation and use of stroke scales
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Cited by
What Is the Evidence for Physical Therapy Poststroke? A Systematic Review and Meta-Analysis
Veerbeek, J. M., van Wegen, E., van Peppen, R., van der Wees, P. J., Hendriks, E., Rietberg, M., & Kwakkel, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087987 · Cited by 1,203
Self-citationSpontaneous and Therapeutic-Induced Mechanisms of Functional Recovery After Stroke
Cassidy, J. M., & Cramer, S. C. (2017) · Translational Stroke Research · doi:10.1007/s12975-016-0467-5 · Cited by 292
Metadata
- Authors
- Kwakkel, G., & Kollen, B. J.
- Venue
- International Journal of Stroke
- Publisher
- SAGE Publications
- Published
- 2012-12-24
- Volume
- 8
- Issue
- 1
- Pages
- 25-32
- ISSN
- 1747-4930 (ISSN-L)
- 1747-4949
- OpenAlex
- W1598153360
- Cited by
- 354
- References
- 69
- FWCI
- 16.28
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.