Clusters provide a better holistic view of type 2 diabetes than simple clinical features - Authors' reply

Affiliations

¹ Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK.
² Health Statistics Group, Institute of Health Research, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK.
³ Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK. Electronic address: a.t.hattersley@exeter.ac.uk.

Comment

John M Dennis et al. Lancet Diabetes Endocrinol. 2019 Sep.

. 2019 Sep;7(9):669.

doi: 10.1016/S2213-8587(19)30250-5.

¹ Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK.
² Health Statistics Group, Institute of Health Research, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK.
³ Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter Medical School, Exeter, UK. Electronic address: a.t.hattersley@exeter.ac.uk.

No abstract available

Comment on

Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data.
Dennis JM, Shields BM, Henley WE, Jones AG, Hattersley AT. Dennis JM, et al. Lancet Diabetes Endocrinol. 2019 Jun;7(6):442-451. doi: 10.1016/S2213-8587(19)30087-7. Epub 2019 Apr 29. Lancet Diabetes Endocrinol. 2019. PMID: 31047901 Free PMC article.
Clusters provide a better holistic view of type 2 diabetes than simple clinical features.
Ahlqvist E, Tuomi T, Groop L. Ahlqvist E, et al. Lancet Diabetes Endocrinol. 2019 Sep;7(9):668-669. doi: 10.1016/S2213-8587(19)30257-8. Lancet Diabetes Endocrinol. 2019. PMID: 31439272 No abstract available.