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Background  Compositional abnormalities in lipoproteins and cardiovascular risk factors play an important role in the progression of diabetic peripheral neuropathy (DPN). This systematic review aimed to estimate the predicting value of low-density lipoprotein (LDL) and systolic blood pressure (SBP) level in type-2 diabetes mellitus (T2DM) patients with and without peripheral neuropathy. We also tried to determine whether LDL and SBP are associated with an increased collision risk of DPN.    Methods  A systematic search was conducted for eligible publications which explored the LDL and SBP level in T2DM patients with and without peripheral neuropathy. The quality of the included studies was assessed by the QUADAS-2 tool. The standardized mean difference (SMD) with 95% CI of LDL and SBP level were pooled to assess the correlation between LDL and SBP level with DPN. We performed random effects meta-regression analyses to investigate factors associated with an increased collision risk of DPN.    Results  There was a significant association between LDL and SBP with poor prognosis of DPN in those included studies (I 2  = 88.1% and I 2  = 84.9%, respectively, Both  P < 0.001 ). European T2DM patients have higher serum level of LDL in compare with the European DPN patients (SMD = 0.16, 95% CI: − 0.06 - 0.38;  P <  0.001). SBP level was associated with a 2.6-fold decrease in non-DPN patients of T2DM (SMD = − 2.63, 95% CI: − 4.00 - -1.27,  P <  0.001). Old age European T2DM patients have significantly high risk for diabetes drivers. Furthermore, the results of the case-control study design model are more precise to show the accuracy of SBP in Asian T2DM patients.    Conclusion  Our finding supports the LDL and SBP status could be associated with increased risk of peripheral neuropathy in T2DM patients.

bmc endocrine disorders

Associations of serum low-density lipoprotein and systolic blood pressure levels with type 2 diabetic patients with and without peripheral neuropathy: systemic review, meta-analysis and meta-regression analysis of observational studies