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A comprehensive review and meta-analysis of risk factors for statin-induced myopathy
by
Lu, Deshun
, Kreutz, Rolf P
, Nguyen, Khoa A
, Lang, Li
, Whipple, Elizabeth C
, Wang, Lei
, Schleyer, Titus K
, Yazdanparast, Aida
in
Cardiovascular disease
/ Cardiovascular diseases
/ Creatine
/ Demography
/ Diabetes mellitus
/ Meta-analysis
/ Myopathy
/ Pharmacogenetics
/ Protein biosynthesis
/ Protein transport
/ Rhabdomyolysis
/ Risk factors
/ Statins
/ Statistical analysis
2018
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A comprehensive review and meta-analysis of risk factors for statin-induced myopathy
by
Lu, Deshun
, Kreutz, Rolf P
, Nguyen, Khoa A
, Lang, Li
, Whipple, Elizabeth C
, Wang, Lei
, Schleyer, Titus K
, Yazdanparast, Aida
in
Cardiovascular disease
/ Cardiovascular diseases
/ Creatine
/ Demography
/ Diabetes mellitus
/ Meta-analysis
/ Myopathy
/ Pharmacogenetics
/ Protein biosynthesis
/ Protein transport
/ Rhabdomyolysis
/ Risk factors
/ Statins
/ Statistical analysis
2018
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Do you wish to request the book?
A comprehensive review and meta-analysis of risk factors for statin-induced myopathy
by
Lu, Deshun
, Kreutz, Rolf P
, Nguyen, Khoa A
, Lang, Li
, Whipple, Elizabeth C
, Wang, Lei
, Schleyer, Titus K
, Yazdanparast, Aida
in
Cardiovascular disease
/ Cardiovascular diseases
/ Creatine
/ Demography
/ Diabetes mellitus
/ Meta-analysis
/ Myopathy
/ Pharmacogenetics
/ Protein biosynthesis
/ Protein transport
/ Rhabdomyolysis
/ Risk factors
/ Statins
/ Statistical analysis
2018
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A comprehensive review and meta-analysis of risk factors for statin-induced myopathy
Journal Article
A comprehensive review and meta-analysis of risk factors for statin-induced myopathy
2018
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Overview
PurposeTo aid prescribers in assessing a patient’s risk for statin-induced myopathy (SIM), we performed a comprehensive review of currently known risk factors and calculated aggregated odds ratios for each risk factor through a meta-analysis.MethodsThis meta-analysis was done through four phases: (1) Identification of the relevant primary literature; (2) abstract screening using inclusion and exclusion criteria; (3) detailed review and data extraction; and (4) synthesis and statistical analysis.ResultsOut of 44 papers analyzed from 836 papers searched from MEDLINE, 18 different potential risk factors were collected, divided into three categories: three demographics (11 papers), ten clinical factors (31 papers), and five pharmacogenetics/biomarkers (12 papers). Risk factors significant for myopathy and/or rhabdomyolysis included age, gender, diabetes, renal impairment, cardiovascular disease, certain interacting drugs, and mutations of the SLCO1B1 gene, which encodes a transporter protein in the liver. Several factors, such as gender, race, cardiovascular disease, and the GATM gene, which encodes a protein for creatine synthesis, appeared to be protective in terms of the outcomes of interest.ConclusionsThis comprehensive assessment of risk factors can help support clinicians in reducing the incidence of SIM in their patient population on statins.
Publisher
Springer Nature B.V
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