Literature DB >> 22023891

Predictors of upper limb recovery after stroke: a systematic review and meta-analysis.

Fiona Coupar1, Alex Pollock, Phil Rowe, Christopher Weir, Peter Langhorne.   

Abstract

OBJECTIVE: To systematically review and summarize the current available literature on prognostic variables relating to upper limb recovery following stroke. To identify which, if any variables predict upper limb recovery following stroke. DATA SOURCES: We completed searches in MEDLINE, EMBASE, AMED, CINAHL and Cochrane CENTRAL databases. Searches were completed in November 2010. REVIEW
METHODS: Studies were included if predictor variables were measured at baseline and linked to an outcome of upper limb recovery at a future time point. Exclusion criteria included predictor variables relating to response to treatment and outcome measurements of very specific upper limb impairments such as spasticity or pain. Two independent reviewers completed data extraction and assessed study quality.
RESULTS: Fifty-eight studies met the inclusion criteria. Predictor variables which have been considered within these studies include; age, sex, lesion site, initial motor impairment, motor-evoked potentials and somatosensory-evoked potentials. Initial measures of upper limb impairment and function were found to be the most significant predictors of upper limb recovery; odds ratio 14.84 (95% confidence intervals (CI) 9.08-24.25) and 38.62 (95% CI 8.40-177.53), respectively.
CONCLUSIONS: Interpretation of these results is complicated by methodological factors including variations in study populations, upper limb motor outcome scales, timing of baseline and outcome assessments and predictors selected. The most important predictive factors for upper limb recovery following stroke appears to the initial severity of motor impairment or function.

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Year:  2011        PMID: 22023891     DOI: 10.1177/0269215511420305

Source DB:  PubMed          Journal:  Clin Rehabil        ISSN: 0269-2155            Impact factor:   3.477


  101 in total

1.  How does context influence arm use after stroke? A qualitative content analysis among rural community-dwelling stroke survivors.

Authors:  Vasanthan Rajagopalan; Manikandan Natarajan; Johnson Alex; John M Solomon
Journal:  Braz J Phys Ther       Date:  2018-11-22       Impact factor: 3.377

2.  Type-2 diabetes mellitus reduces cortical thickness and decreases oxidative metabolism in sensorimotor regions after stroke.

Authors:  Jennifer K Ferris; Sue Peters; Katlyn E Brown; Katherine Tourigny; Lara A Boyd
Journal:  J Cereb Blood Flow Metab       Date:  2017-04-12       Impact factor: 6.200

3.  Heart disease and stroke statistics--2014 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; Michael J Blaha; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Rachel H Mackey; David J Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Robert W Neumar; Graham Nichol; Dilip K Pandey; Nina P Paynter; Matthew J Reeves; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2013-12-18       Impact factor: 29.690

4.  Pre-therapy Neural State of Bilateral Motor and Premotor Cortices Predicts Therapy Gain After Subcortical Stroke: A Pilot Study.

Authors:  Carmen M Cirstea; Phil Lee; Sorin C Craciunas; In-Young Choi; Joseph E Burris; Randolph J Nudo
Journal:  Am J Phys Med Rehabil       Date:  2018-01       Impact factor: 2.159

Review 5.  Diffusion tensor imaging as a prognostic biomarker for motor recovery and rehabilitation after stroke.

Authors:  Josep Puig; Gerard Blasco; Gottfried Schlaug; Cathy M Stinear; Pepus Daunis-I-Estadella; Carles Biarnes; Jaume Figueras; Joaquín Serena; Maria Hernández-Pérez; Angel Alberich-Bayarri; Mar Castellanos; David S Liebeskind; Andrew M Demchuk; Bijoy K Menon; Götz Thomalla; Kambiz Nael; Max Wintermark; Salvador Pedraza
Journal:  Neuroradiology       Date:  2017-03-14       Impact factor: 2.804

Review 6.  Biomarkers and predictors of restorative therapy effects after stroke.

Authors:  Erin Burke; Steven C Cramer
Journal:  Curr Neurol Neurosci Rep       Date:  2013-02       Impact factor: 5.081

Review 7.  The prognostic value of motor-evoked potentials in motor recovery and functional outcome after stroke − a systematic review of the literature.

Authors:  Jan Pawel Bembenek; Katarzyna Kurczych; Michal Karli Nski; Anna Czlonkowska
Journal:  Funct Neurol       Date:  2012 Apr-Jun

8.  Resting-State Functional Connectivity Magnetic Resonance Imaging and Outcome After Acute Stroke.

Authors:  Josep Puig; Gerard Blasco; Angel Alberich-Bayarri; Gottfried Schlaug; Gustavo Deco; Carles Biarnes; Marian Navas-Martí; Mireia Rivero; Jordi Gich; Jaume Figueras; Cristina Torres; Pepus Daunis-I-Estadella; Celia L Oramas-Requejo; Joaquín Serena; Cathy M Stinear; Amy Kuceyeski; Carles Soriano-Mas; Götz Thomalla; Marco Essig; Chase R Figley; Bijoy Menon; Andrew Demchuk; Kambiz Nael; Max Wintermark; David S Liebeskind; Salvador Pedraza
Journal:  Stroke       Date:  2018-10       Impact factor: 7.914

9.  Enhanced motor function and its neurophysiological correlates after navigated low-frequency repetitive transcranial magnetic stimulation over the contralesional motor cortex in stroke.

Authors:  Shahid Bashir; Marine Vernet; Umer Najib; Jennifer Perez; Miguel Alonso-Alonso; Mark Knobel; Woo-Kyoung Yoo; Dylan Edwards; Alvaro Pascual-Leone
Journal:  Restor Neurol Neurosci       Date:  2016-08-11       Impact factor: 2.406

10.  Virtual Reality Arm Supported Training Reduces Motor Impairment In Two Patients with Severe Hemiparesis.

Authors:  Dc Good; Rl Sainburg
Journal:  J Neurol Transl Neurosci       Date:  2013-09-15
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