المؤلفون: Arnett, Donna K., Tyroler, Herman A.

المصدر: Archives of Internal Medicine. 9/23/96, Vol. 156 Issue 17, p1983. 7p. 3 Charts, 8 Graphs.

مصطلحات موضوعية: *HYPERTENSION, *ATHEROSCLEROSIS risk factors

مستخلص: Examines the association of hypertension with atherosclerosis in black and white Americans using the carotid artery intima media thickness (IMT) assessment index. Association of higher hypertension categories with thicker intima medias in all ethnic and gender groups; Negative association of diastolic blood pressure and atherosclerosis.

المؤلفون: Keil JE, Sutherland SE, Hames CG, Lackland DT, Gazes PC, Knapp RG, Tyroler HA

المصدر: Archives of Internal Medicine; 7/24/95, Vol. 155 Issue 14, p1521-1527, 7p

المؤلفون: Yusuf, S, Wittes, J, Probstfield, J, Tyroler, H A

المصدر: JAMA: Journal of the American Medical Association; 7/3/91, Vol. 266 Issue 1, p93-98, 6p

مصطلحات موضوعية: CARDIOVASCULAR disease treatment, MYOCARDIAL infarction-related mortality, CLINICAL trials, COMPARATIVE studies, EXPERIMENTAL design, RESEARCH methodology, MEDICAL cooperation, MYOCARDIAL infarction, RESEARCH, STATISTICAL sampling, STATISTICS, DATA analysis, EVALUATION research

مستخلص: A key principle for interpretation of subgroup results is that quantitative interactions (differences in degree) are much more likely than qualitative interactions (differences in kind). Quantitative interactions are likely to be truly present whether or not they are apparent, whereas apparent qualitative interactions should generally be disbelieved as they have usually not been replicated consistently. Therefore, the overall trial result is usually a better guide to the direction of effect in subgroups than the apparent effect observed within a subgroup. Failure to specify prior hypotheses, to account for multiple comparisons, or to correct P values increases the chance of finding spurious subgroup effects. Conversely, inadequate sample size, classification of patients into the wrong subgroup, and low power of tests of interaction make finding true subgroup effects difficult. We recommend examining the architecture of the entire set of subgroups within a trial, analyzing similar subgroups across independent trials, and interpreting the evidence in the context of known biologic mechanisms and patient prognosis. [ABSTRACT FROM AUTHOR]

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