Boosting the chances to improve stroke treatment
Visualitza/Obre
10.1161/STROKEAHA.109.567404
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/7571
Tipus de documentArticle
Data publicació2010-03
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Background and Purpose—There is a lack of agreement regarding measuring the effects of stroke treatment in clinical
trials, which often relies on the dichotomized value of 1 outcome scale. Alternative analyses consist mainly of 2
strategies: use all the information from an ordinal scale and combine information from several outcome scales in a
single estimate.
Methods—We reanalyzed 3 outcome scales that assessed patient recovery (modified Rankin Scale, National Institutes of
Health Stroke Scale, and Barthel Index). With data collected from the 1652 patients in the Citicoline pooling data
analysis, we used 2 standard techniques of exploratory multivariate analysis to analyze the distances among ranks and
to isolate the common and the unique information provided by each of the 3 scales.
Results—The different scale values correspond to gradually different patient status, confirming that information is lost
when a scale is collapsed to just 2 values, whether recovered or not. The scales shared 90.7% (95% CI, 84.5–96.9) of
their information, with no individual scale contributing unique information.
Conclusions—Salient stroke outcome information is lost when an ordinal scale is collapsed into fewer categories. In
contrast, the full scales provide a comprehensive patient outcome estimate. Furthermore, in the context of stroke clinical
trials, those scales are highly correlated, providing the rationale to pool them into a single estimate. These insights may
be used to optimize the analysis of stroke trials to increase study power to detect efficacious interventions.
CitacióCobo, E. [et al.]. Boosting the chances to improve stroke treatment. "Stroke", Març 2010, vol. 41, núm. 3, p. 143-150.
ISSN0039-2499
Col·leccions
- GNOM - Grup d'Optimització Numèrica i Modelització - Articles de revista [104]
- LIAM - Laboratori de Modelització i Anàlisi de la Informació - Articles de revista [50]
- GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions - Articles de revista [51]
- Departament d'Estadística i Investigació Operativa - Articles de revista [719]
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