2018
DOI: 10.1212/wnl.0000000000006533
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Which version of the modified Rankin Scale should we use for stroke trials?

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Cited by 3 publications
(2 citation statements)
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“…However, analyses of trials using such dichotomous approaches could result in a loss of information and a risk of ignoring bi-directional effects, and they often require larger samples than ordinal approaches [132][133][134]. Despite these pitfalls of dichotomization, ordinal analyses continue to be poorly adopted [135,136], and dichotomous approaches continue to be favored as the primary outcome by many high-profile trials [137,138]. One reason for this may be the poor clinical interpretability of conventional ordinal approaches, which provide outputs, like p-values or standard odds ratios, without intuitive effect sizes [139].…”
Section: Results In Contextmentioning
confidence: 99%
“…However, analyses of trials using such dichotomous approaches could result in a loss of information and a risk of ignoring bi-directional effects, and they often require larger samples than ordinal approaches [132][133][134]. Despite these pitfalls of dichotomization, ordinal analyses continue to be poorly adopted [135,136], and dichotomous approaches continue to be favored as the primary outcome by many high-profile trials [137,138]. One reason for this may be the poor clinical interpretability of conventional ordinal approaches, which provide outputs, like p-values or standard odds ratios, without intuitive effect sizes [139].…”
Section: Results In Contextmentioning
confidence: 99%
“…Despite these pitfalls of dichotomization, adoption of ordinal analyses remains poor [7,8]. Although there has been a trend in recent years towards the use of ordinal analyses, dichotomous approaches continue to be favoured as the primary outcome by many high-profile trials [9,10].…”
Section: Introductionmentioning
confidence: 99%