Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2023 Aug 24;12(1):148.
doi: 10.1186/s13643-023-02321-2.

Relationship between dyslipidemia and diabetic retinopathy in patients with type 2 diabetes mellitus: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Relationship between dyslipidemia and diabetic retinopathy in patients with type 2 diabetes mellitus: a systematic review and meta-analysis

Zhaoping Li et al. Syst Rev. .

Abstract

Background: Diabetic retinopathy (DR) affects more than 80% of patients with diabetes. However, literature on the association between serum lipids and DR in patients with type 2 diabetes mellitus (T2DM) is inconsistent. Hence, in this study, we aimed to investigate the relationship between baseline serum lipids and the incidence of DR in patients with T2DM.

Methods: We searched relevant articles in the PubMed, Embase databases, and the Cochrane Library up to February 7, 2022, and reviewed the reference lists of the included articles to identify appropriate cohort studies. The weighted mean difference (WMD) and the corresponding 95% confidence intervals (CIs) were calculated.

Results: Thirteen cohort studies, including 7459 participants, were included in the present study. Higher levels of total cholesterol (2.94 mg/dL, 95% CI 1.32, 4.56), triglycerides (8.13 mg/dL, 95% CI 5.59, 10.66), and low-density lipoprotein cholesterol (2.53 mg/dL, 95% CI 1.02, 4.04) at baseline were observed in patients with later onset of DR. However, no significant difference in the high-density lipoprotein cholesterol level (0.27 mg/dL, 95% CI - 0.91, 1.45) was observed between patients with DR and without DR.

Conclusion: The present results suggest that baseline triglyceride and cholesterol levels are significantly associated with the occurrence of DR in patients with T2DM. Thus, patients with T2DM may benefit from lowering serum lipids. Future studies exploring the relationship between longitudinal changes in serum lipids and DR occurrence are warranted.

Systematic review registration: PROSPERO CRD42022319978.

Keywords: Diabetic retinopathy; Dyslipidemia; Meta-analysis; Type 2 diabetes.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Flow diagram of the literature search and study selection
Fig. 2
Fig. 2
Forest plot of comparing TC levels between the DR population and the control group. WMDs, weighted mean differences; 95% CIs, 95% confidence interval; TC, total cholesterol; DR, diabetic retinopathy
Fig. 3
Fig. 3
Forest plot of comparing TG levels between the DR population and the control group. WMDs, weighted mean differences; 95% CIs, 95% confidence interval; TG, total triglyceride; DR, diabetic retinopathy
Fig. 4
Fig. 4
Forest plot of comparing LDL-C levels between the DR population and the control group. WMDs, weighted mean differences; 95% CIs, 95% confidence interval; LDL-C, low-density lipoprotein cholesterol; DR, diabetic retinopathy
Fig. 5
Fig. 5
Forest plot of comparing HDL-C levels between the DR population and the control group. WMDs, weighted mean differences; 95% CIs, 95% confidence interval; HDL-C, high-density lipoprotein cholesterol; DR, diabetic retinopathy
Fig. 6
Fig. 6
Funnel plots showing the risk of publication bias in the meta-analysis. A Funnel plot of TC. B Funnel plot of TG. C Funnel plot of LDL-C. D Funnel plot of HDL-C. WMDs, weighted mean differences; se, standard error; TC, total cholesterol; TG, total triglyceride; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol

Similar articles

Cited by

References

    1. Lone S, Lone K, Khan S, Pampori RA. Assessment of metabolic syndrome in Kashmiri population with type 2 diabetes employing the standard criteria’s given by WHO, NCEPATP III and IDF. J Epidemiol Global Health. 2017;7(4):235–9. doi: 10.1016/j.jegh.2017.07.004. - DOI - PMC - PubMed
    1. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9(th) edition. Diab Res Clin Pract. 2019;157:107843. doi: 10.1016/j.diabres.2019.107843. - DOI - PubMed
    1. Khan MAB, Hashim MJ, King JK, Govender RD, Mustafa H, Al Kaabi J. Epidemiology of type 2 diabetes - global burden of disease and forecasted trends. J Epidemiol Global Health. 2020;10(1):107–11. doi: 10.2991/jegh.k.191028.001. - DOI - PMC - PubMed
    1. Shi Q, Zhao Y, Fonseca V, Krousel-Wood M, Shi L. Racial disparity of eye examinations among the US working-age population with diabetes: 2002–2009. Diabetes Care. 2014;37(5):1321–1328. doi: 10.2337/dc13-1038. - DOI - PMC - PubMed
    1. Rübsam A, Parikh S, Fort PE. Role of inflammation in diabetic retinopathy. Int J Mol Sci. 2018;19(4):942. doi: 10.3390/ijms19040942. - DOI - PMC - PubMed