ReviewBrain sciences2016
Prediction of Walking and Arm Recovery after Stroke: A Critical Review.
Review in Brain sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06438770 (Predicting Independent Gait After Stroke), which is not on this map. Cited by 18 papers.
What it found
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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.
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.
Predicting Independent Gait After Stroke: External Validation of a Multivariable Prediction Model
Who cites it
18 citing papers in PubMed.
- Article
- Prediction of poststroke independent walking using machine learning: a retrospective study.BMC neurology · 2024Article
- Neuroimaging biomarkers for predicting stroke outcomes: A systematic review.Health science reports · 2024Review
- Early Prediction of Poststroke Rehabilitation Outcomes Using Wearable Sensors.Physical therapy · 2024Article
- Factors influencing physiotherapy decisions between restorative and compensatory gait rehabilitation: an Italian multicenter study.Frontiers in neurology · 2024Article
- Trajectories of arm recovery early after stroke: an exploratory study using latent class growth analysis.Annals of medicine · 2023Article
- Changes in the clinico-functional characteristics of stroke patients in the acute phase during the COVID-19 pandemic.Einstein (Sao Paulo, Brazil) · 2023Article
- Prognostic Value of Combined Radiomic Features from Follow-Up DWI and T2-FLAIR in Acute Ischemic Stroke.Journal of cardiovascular development and disease · 2022Article
- Beyond Diffusion Tensor MRI Methods for Improved Characterization of the Brain after Ischemic Stroke: A Review.AJNR. American journal of neuroradiology · 2022Review
- Article
- Accuracy of an Algorithm in Predicting Upper Limb Functional Capacity in a United States Population.Archives of physical medicine and rehabilitation · 2022Observational
- Predicting specific abilities after disabling stroke: Development and validation of prognostic models.International journal of stroke : official journal of the International Stroke Society · 2021Article
- Article
- Improving motor function after chronic stroke by interactive gaming with a redesigned MR-compatible hand training device.Experimental and therapeutic medicine · 2021Article
- Why Are Stroke Rehabilitation Trial Recruitment Rates in Single Digits?Frontiers in neurology · 2021Article
- Easily Conducted Tests During the First Week Post-stroke Can Aid the Prediction of Arm Functioning at 6 Months.Frontiers in neurology · 2019Article
- Observational
- Changes in arm-hand function and arm-hand skill performance in patients after stroke during and after rehabilitation.PloS one · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinicians often base their predictions of walking and arm recovery on multiple predictors. Multivariate prediction models may assist clinicians to make accurate predictions. Several reviews have been published on the prediction of motor recovery after stroke, but none have critically appraised development and validation studies of models for predicting walking and arm recovery. In this review, we highlight some common methodological limitations of models that have been developed and validated. Notable models include the proportional recovery model and the PREP algorithm. We also identify five other models based on clinical predictors that might be ready for further validation. It has been suggested that neurophysiological and neuroimaging data may be used to predict arm recovery. Current evidence suggests, but does not show conclusively, that the addition of neurophysiological and neuroimaging data to models containing clinical predictors yields clinically important increases in predictive accuracy.
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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.