Literature DB >> 22426313

Contemporary outcome measures in acute stroke research: choice of primary outcome measure.

Kennedy R Lees1, Philip M W Bath, Peter D Schellinger, Daniel M Kerr, Rachael Fulton, Werner Hacke, David Matchar, Ruchir Sehra, Danilo Toni.   

Abstract

BACKGROUND AND
PURPOSE: The diversity of available outcome measures for acute stroke trials is challenging and implies that the scales may be imperfect. To assist researchers planning trials and to aid interpretation, this article reviews and makes recommendations on the available choices of scales. The aim is to identify an approach that will be universally accepted and that should be included in most acute trials, without seeking to restrict options for special circumstances.
METHODS: The article considers outcome measures that have been widely used or are currently advised. It examines desirable properties for outcome measures such as validity, relevance, responsiveness, statistical properties, availability of training, cultural and language issues, resistance to comorbidity, as well as potential weaknesses. Tracking and agreement among outcomes are covered.
RESULTS: Typical ranges of scores for the common scales are described, along with their statistical properties, which in turn influence optimal analytic techniques. The timing of recovery on scores and usual practice in trial design are considered.
CONCLUSIONS: The preferred outcome measure for acute trials is the modified Rankin Scale, assessed at 3 months after stroke onset or later. The interview should be conducted by a certified rater and should involve both the patient and any relevant caregiver. Incremental benefits at any level of the modified Rankin Scale may be acceptable. The modified Rankin Scale is imperfect but should be retained in its present form for comparability with existing treatment comparisons. No second measure should be required, but correlations with supporting scales may be used to confirm consistency in direction of effects on other measures.

Entities:  

Mesh:

Year:  2012        PMID: 22426313     DOI: 10.1161/STROKEAHA.111.641423

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  77 in total

1.  Baseline Quality of Life and Risk of Stroke in the ALLHAT Study (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial).

Authors:  Tanzila Shams; Alexander P Auchus; Suzanne Oparil; Clinton B Wright; Jackson Wright; Anthony J Furlan; Cathy A Sila; Barry R Davis; Sara Pressel; Jose-Miguel Yamal; Paula T Einhorn; Alan J Lerner
Journal:  Stroke       Date:  2017-09-27       Impact factor: 7.914

Review 2.  Variability of functional outcome measures used in animal models of stroke and vascular cognitive impairment - a review of contemporary studies.

Authors:  Tuuli M Hietamies; Caroline Ostrowski; Zhong Pei; Luyang Feng; Christopher McCabe; Lorraine M Work; Terence J Quinn
Journal:  J Cereb Blood Flow Metab       Date:  2018-09-11       Impact factor: 6.200

3.  TURN Score Predicts 90-day Outcome in Acute Ischemic Stroke Patients After IV Thrombolysis.

Authors:  David Asuzu; Karin Nyström; Joseph Schindler; Charles Wira; David Greer; Janet Halliday; Kevin N Sheth
Journal:  Neurocrit Care       Date:  2015-10       Impact factor: 3.210

4.  Regression analysis of ordinal stroke clinical trial outcomes: an application to the NINDS t-PA trial.

Authors:  Stacia M Desantis; Christos Lazaridis; Yuko Palesch; Viswanathan Ramakrishnan
Journal:  Int J Stroke       Date:  2013-06-27       Impact factor: 5.266

5.  Robotic measurement of arm movements after stroke establishes biomarkers of motor recovery.

Authors:  Hermano I Krebs; Michael Krams; Dimitris K Agrafiotis; Allitia DiBernardo; Juan C Chavez; Gary S Littman; Eric Yang; Geert Byttebier; Laura Dipietro; Avrielle Rykman; Kate McArthur; Karim Hajjar; Kennedy R Lees; Bruce T Volpe
Journal:  Stroke       Date:  2013-12-12       Impact factor: 7.914

6.  Assessing type I error and power of multistate Markov models for panel data-A simulation study.

Authors:  Christy Cassarly; Renee' H Martin; Marc Chimowitz; Edsel A Peña; Viswanathan Ramakrishnan; Yuko Y Palesch
Journal:  Commun Stat Simul Comput       Date:  2016-09-23       Impact factor: 1.118

7.  Association between post-stroke disability and 5-year hip-fracture risk: The Women's Health Initiative.

Authors:  Carin A Northuis; Carolyn J Crandall; Karen L Margolis; Susan J Diem; Kristine E Ensrud; Kamakshi Lakshminarayan
Journal:  J Stroke Cerebrovasc Dis       Date:  2020-06-10       Impact factor: 2.136

Review 8.  Progesterone treatment for experimental stroke: an individual animal meta-analysis.

Authors:  Raymond Wong; Cheryl Renton; Claire L Gibson; Stephanie J Murphy; David A Kendall; Philip M W Bath
Journal:  J Cereb Blood Flow Metab       Date:  2013-07-10       Impact factor: 6.200

Review 9.  SAHIT Investigators--on the outcome of some subarachnoid hemorrhage clinical trials.

Authors:  R Loch Macdonald; Blessing Jaja; Michael D Cusimano; Nima Etminan; Daniel Hanggi; David Hasan; Don Ilodigwe; Hector Lantigua; Peter Le Roux; Benjamin Lo; Ada Louffat-Olivares; Stephan Mayer; Andrew Molyneux; Audrey Quinn; Tom A Schweizer; Thomas Schenk; Julian Spears; Michael Todd; James Torner; Mervyn D I Vergouwen; George K C Wong; Jeff Singh
Journal:  Transl Stroke Res       Date:  2013-01-07       Impact factor: 6.829

10.  Impact of Perihemorrhagic Edema on Short-Term Outcome After Intracerebral Hemorrhage.

Authors:  Bastian Volbers; Wolfgang Willfarth; Joji B Kuramatsu; Tobias Struffert; Arnd Dörfler; Hagen B Huttner; Stefan Schwab; Dimitre Staykov
Journal:  Neurocrit Care       Date:  2016-06       Impact factor: 3.210

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