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Cox proportional hazards regression

Authors: P. Sedgwick;

Cox proportional hazards regression

Abstract

Researchers measured the effect on one year mortality of secondary drug prevention for patients with stroke in routine primary care. They used a cohort study design, which incorporated patient data from the health improvement network primary care database. Participants were 12 830 patients aged 50 years or more from 113 general practices. They had all had a stroke between 1995 and 2005 and survived the first 30 days after the stroke. Secondary drug prevention was defined as being prescribed either antihypertensives plus lipid lowering drugs plus antithrombotics or antihypertensives plus lipid lowering drugs.1 Cox proportional hazards regression was used to investigate one year mortality, defined as death from any cause from 31 days after the stroke and within the first year. Univariable and multivariable analyses between one year mortality and secondary drug prevention, sex, socioeconomic deprivation, and age group were performed (table⇓). Socioeconomic deprivation was measured by the Townsend score, which assesses socioeconomic deprivation in families and includes measurement of employment status, overcrowding, car ownership, and owner occupation status. View this table: Hazard ratios for association between one year mortality and secondary drug prevention, sex, Townsend deprivation index, and age group in patients after stroke On average, mortality within the first year was 5.7% for patients receiving secondary drug prevention compared with 11.1% for patients not receiving treatment. Secondary drug prevention was associated with a 50% reduction in mortality risk (adjusted hazard ratio 0.50, 95% confidence interval 0.42 to 0.59). Which of the following statements, if any, are true?

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average
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