Algorithm to identify patients with an activity grade > 2 in type 2 diabetic patients with non-alcoholic fatty liver disease (NAFLD)-development in a large prospective multicenter UK study

P Eddowes; M Allison; E Tsochatzis; Q Anstee; D Sheridan; IN Guha; J Cobbold; V Paradis; P Bedossa; P Newsome

doi:10.1016/s0168-8278(18)31362-x

Algorithm to identify patients with an activity grade > 2 in type 2 diabetic patients with non-alcoholic fatty liver disease (NAFLD)-development in a large prospective multicenter UK study

P Eddowes, M Allison, E Tsochatzis, Q Anstee, D Sheridan, IN Guha, J Cobbold, V Paradis, P Bedossa, P Newsome

Peninsula Medical School

Research output: Contribution to conference › Conference paper (not formally published) › peer-review

Original language	English
DOIs	https://doi.org/10.1016/s0168-8278(18)31362-x
Publication status	Published - Apr 2018

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10.1016/s0168-8278(18)31362-x

Cite this

Eddowes, P., Allison, M., Tsochatzis, E., Anstee, Q., Sheridan, D., Guha, IN., Cobbold, J., Paradis, V., Bedossa, P., & Newsome, P. (2018). Algorithm to identify patients with an activity grade > 2 in type 2 diabetic patients with non-alcoholic fatty liver disease (NAFLD)-development in a large prospective multicenter UK study. https://doi.org/10.1016/s0168-8278(18)31362-x

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title = "Algorithm to identify patients with an activity grade > 2 in type 2 diabetic patients with non-alcoholic fatty liver disease (NAFLD)-development in a large prospective multicenter UK study",

author = "P Eddowes and M Allison and E Tsochatzis and Q Anstee and D Sheridan and IN Guha and J Cobbold and V Paradis and P Bedossa and P Newsome",

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T1 - Algorithm to identify patients with an activity grade > 2 in type 2 diabetic patients with non-alcoholic fatty liver disease (NAFLD)-development in a large prospective multicenter UK study

AU - Eddowes, P

AU - Allison, M

AU - Tsochatzis, E

AU - Anstee, Q

AU - Sheridan, D

AU - Guha, IN

AU - Cobbold, J

AU - Paradis, V

AU - Bedossa, P

AU - Newsome, P

PY - 2018/4

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DO - 10.1016/s0168-8278(18)31362-x

M3 - Conference paper (not formally published)

ER -