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- W1593464103 abstract "Chronic obstructive pulmonary disease (COPD) is a complex clinical entity. In contrast to previously limited diagnostic definitions, it is now apparent that COPD is a clinically and biologically heterogeneous disease process, overlapping with other airways diseases like chronic asthma. As such, symptomatic response to current standard treatment practices is variable. New clinical guidelines have been altered to reflect this, with the inclusion of symptoms and risk factors in diagnostic and management algorithms. However, as our understanding of COPD pathophysiology deepens, many novel physiological, cellular, proteomic, and genetic markers have been identified. Several have been observed to be independently predictive of distinct clinical disease patterns, which at present are not illustrated by conventional measurements of lung impairment. The potential use of these predictive biomarkers to stratify this diverse patient population could transform the care we offer. We should aim for precision medicine to optimize diagnosis and treatment choices and to monitor and improve clinical outcomes in this disease." @default.
- W1593464103 created "2016-06-24" @default.
- W1593464103 creator A5071446755 @default.
- W1593464103 creator A5073356995 @default.
- W1593464103 date "2015-06-01" @default.
- W1593464103 modified "2023-10-16" @default.
- W1593464103 title "Biomarkers for precision medicine in airways disease" @default.
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- W1593464103 cites W1859222707 @default.
- W1593464103 cites W1866342749 @default.
- W1593464103 cites W1967981332 @default.
- W1593464103 cites W1968225213 @default.
- W1593464103 cites W1971000546 @default.
- W1593464103 cites W1973597670 @default.
- W1593464103 cites W1984167026 @default.
- W1593464103 cites W1995487477 @default.
- W1593464103 cites W1999226863 @default.
- W1593464103 cites W2002057781 @default.
- W1593464103 cites W2002726093 @default.
- W1593464103 cites W2003172053 @default.
- W1593464103 cites W2004635533 @default.
- W1593464103 cites W2005956840 @default.
- W1593464103 cites W2006720016 @default.
- W1593464103 cites W2007286329 @default.
- W1593464103 cites W2016538511 @default.
- W1593464103 cites W2019856574 @default.
- W1593464103 cites W2021085462 @default.
- W1593464103 cites W2025833922 @default.
- W1593464103 cites W2028114545 @default.
- W1593464103 cites W2034745853 @default.
- W1593464103 cites W2036685335 @default.
- W1593464103 cites W2043206469 @default.
- W1593464103 cites W2049479384 @default.
- W1593464103 cites W2054404145 @default.
- W1593464103 cites W2065478501 @default.
- W1593464103 cites W2069875525 @default.
- W1593464103 cites W2074127159 @default.
- W1593464103 cites W2082907106 @default.
- W1593464103 cites W2087387762 @default.
- W1593464103 cites W2088894299 @default.
- W1593464103 cites W2092255611 @default.
- W1593464103 cites W2096764510 @default.
- W1593464103 cites W2097482510 @default.
- W1593464103 cites W2097839952 @default.
- W1593464103 cites W2101787490 @default.
- W1593464103 cites W2102293088 @default.
- W1593464103 cites W2102487178 @default.
- W1593464103 cites W2102634938 @default.
- W1593464103 cites W2104349427 @default.
- W1593464103 cites W2104704131 @default.
- W1593464103 cites W2107766358 @default.
- W1593464103 cites W2108424624 @default.
- W1593464103 cites W2109202267 @default.
- W1593464103 cites W2109676782 @default.
- W1593464103 cites W2110947112 @default.
- W1593464103 cites W2112162293 @default.
- W1593464103 cites W2116515545 @default.
- W1593464103 cites W2117494906 @default.
- W1593464103 cites W2118082971 @default.
- W1593464103 cites W2120188024 @default.
- W1593464103 cites W2120397327 @default.
- W1593464103 cites W2121231290 @default.
- W1593464103 cites W2121676520 @default.
- W1593464103 cites W2122590281 @default.
- W1593464103 cites W2122825047 @default.
- W1593464103 cites W2126921736 @default.
- W1593464103 cites W2131237771 @default.
- W1593464103 cites W2135422079 @default.
- W1593464103 cites W2135702050 @default.
- W1593464103 cites W2139347600 @default.
- W1593464103 cites W2146514656 @default.
- W1593464103 cites W2147495597 @default.
- W1593464103 cites W2154204110 @default.
- W1593464103 cites W2154453846 @default.
- W1593464103 cites W2157968241 @default.
- W1593464103 cites W2161713331 @default.
- W1593464103 cites W2162132432 @default.
- W1593464103 cites W2165005359 @default.
- W1593464103 cites W2166432084 @default.
- W1593464103 cites W2168008044 @default.
- W1593464103 cites W2170131723 @default.
- W1593464103 cites W2170309616 @default.
- W1593464103 cites W2171676943 @default.
- W1593464103 cites W2338642778 @default.
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- W1593464103 doi "https://doi.org/10.1111/nyas.12809" @default.
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