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Authors concluded age not determining the choice of treatment in prostate cancer.
As other authors have concluded, age should not be used as an isolated factor for deciding to treat ARF with dialysis.
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Based on 4812 index admissions for heart failure between 2002 and 2005 in Western Australia, Teng et al [ 7] concluded age-standardised admission rates for heart failure of 249/100,000 and 176/100,000 for men and women respectively, with 41% of admissions in those aged <75 years.
However, all of the models which are not mixed age structure and non-autonomous are only concluding age structure or non-autonomous.
Samuels concludes Aging in America by exhorting his fellow baby boomers to use their economic clout and sheer numbers to change the narrative of aging in America.
For instance, Peterson et al. (2006) after investigating 154 children aged 6 12 concluded that age alone accounted for only 16% of the total postural stability variance, with height, weight, BMI and gender adding another 4% contribution.
We concluded that age, sex, years of education, and employment were necessary covariates, which we used for adjustment in the main model.
Past report suggested the impact of age on EGFR mutation, and concluded that age was associated with EGFR mutation in lung cancer [ 18].
Second, Henry et al. concluded that age declines in prospective memory were smaller than age declines in retrospective memory, contrary to Craik's [2], [3] proposal.
A study on healthy beagles found that total serum IgE levels varied with age [ 19], whereas some of the same authors in another publication concluded that age did not have any influence [ 18].
Therefore, we concluded that age could not be a specific determining factor for treatment success.
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