Latent class analysis suggests four classes of persons with type 2 diabetes mellitus based on complications and comorbidities in Tianjin, China: a cross-sectional analysis.

In conclusion, LCA was shown to be an effective method for grouping patients with T2DM, which presented a nuanced approach to data reduction. Further research using LCA may be especially useful to investigate causal relationships between complications and the significant factors identified in our study. PMID: 28781339 [PubMed - as supplied by publisher]
Source: Endocrine Journal - Category: Endocrinology Tags: Endocr J Source Type: research