Sentence examples for diseases when compared to from inspiring English sources

Added to this, they are likely to be at an increased risk of some infectious diseases when compared to the owned pet population [ 19- 21].

Although resistance or susceptibility to disease involves multifactorial mechanisms, it has been reported that Zebu cattle tend to have a higher degree of natural resistance to diseases when compared to European cattle [ 27- 31].

To our knowledge, only one other study compared different chronic diseases using the EQ-5D and showed that chronic cardiopathies carry a similar reduction in QOL as stroke and other chronic diseases, when compared to the general population [ 16].

Finally, YKL-40 levels are elevated both in patients with type 1 and type 2 diabetes, known to be at high risk for the development of cardiovascular diseases, when compared to non-diabetic persons.

This greater protective effect was due to the normalization of the gamma distribution resulting in a greater prevalence of moderate drinkers (drinkers who experience a protective effect for the aforementioned diseases) when compared to the uncapped distribution.

The Review of NHS Funding and Performance, five years after the original Wanless report, stated that the UK has underperformed in terms of potential life years lost for some diseases (ischaemic heart disease, cerebrovascular and respiratory diseases) when compared to other countries [ 7].

Elderly patients presented to EDs with a different spectrum of disease when compared to younger adults.

Background: Diabetic patients are at increased risk for cardiovascular disease when compared to non-diabetic patients.

Patients with DM have been observed to have increased prevalence and intensity of periodontal disease when compared to systematically healthy patients.

They also found a predilection for posterior putamen involvement in Parkinson's disease when compared to DLB, and that caudate to putamen uptake ratio was significantly different in Parkinson's disease patients than in DLB patients.

We show via simulations that the proposed approach can be used in conjunction with the existing filter-based methods to achieve a substantially better ranking of a gene relevant for disease when compared to currently used filter-based approaches, this is especially so in the presence of disease locus heterogeneity.