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Diabetes mellitus as a risk factor for incident chronic kidney disease and end-stage renal disease in women compared with men: a systematic review and meta-analysis

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Abstract

Diabetes mellitus is a strong risk factor for chronic kidney disease and end-stage renal disease. Whether sex differences in chronic kidney disease and end-stage renal disease incidence exist among diabetic patients remains unclear. This systematic review and meta-analysis was conducted to evaluate the relative effect of diabetes on chronic kidney disease and end-stage renal disease risk in women compared with men. We systematically searched Embase, PubMed, and the Cochrane Library for both cohort and case–control studies until October 2015. Studies were selected if they reported a sex-specific relationship between diabetes mellitus and chronic kidney disease or end-stage renal disease. We generated pooled estimates across studies using random-effects meta-analysis after log transformation with inverse variance weighting. Ten studies with data from more than 5 million participants were included. The pooled adjusted risk ratio of chronic kidney disease associated with diabetes mellitus was 3.34 (95 % CI 2.27, 4.93) in women and 2.84 (95 % CI 1.73, 4.68) in men. The data showed no difference in diabetes-related chronic kidney disease risk between the sexes (pooled adjusted women-to-men relative risk ratio was 1.14 [95 % CI 0.97, 1.34]) except for end-stage renal disease—the pooled adjusted women-to men relative risk ratio was 1.38 (95 % CI 1.22, 1.55; p = 0.114,  = 38.1 %). The study found no evidence of a sex difference in the association between diabetes mellitus and chronic kidney disease. However, the excess risk for end-stage renal disease was higher in women with diabetes than in men with the same condition, from which we assume that the female gender could accelerate the disease progression. Further studies are needed to support this notion and elucidate the underlying mechanisms.

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Fig. 1
Fig. 2

Note: Box sizes are in proportion to study weights. The study by Julia et al. provided separate estimates for patients with type 1 and type 2 diabetes. The study by Jay et al. provided separate estimates for cohorts from black race and the other race. Jan et al.1 and Yamagata et al.1 provided relative risk for incident CKD stage 1–2 in men and women; Jan et al.2 and Yamagata et al.2 provided relative risk for incident CKD stage 3–5 in men and women

Fig. 3

Note: Box sizes are in proportion to study weights. The study by Julia et al. provided separate estimates for patients with type 1 and type 2 diabetes. The study by Jay et al. provided separate estimates for cohorts from black race and the other race. Jan et al.1 and Yamagata et al.1 provided adjusted women-to-men relative risk ratio for incident CKD stage 1–2; Jan et al.2 and Yamagata et al.2 provided adjusted women-to-men relative risk ratio for incident CKD stage 3–5

Fig. 4

Note: Box sizes are in proportion to study weights. The study by Julia et al. provided separate estimates for patients with type 1 and type 2 diabetes. The study by Jay et al. provided separate estimates for cohorts from black race and the other race

Fig. 5

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References

  1. L. Guariguata, D.R. Whiting, I. Hambleton, J. Beagley, U. Linnenkamp, J.E. Shaw, Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res. Clin. Pract. 103(2), 137–149 (2014). doi:10.1016/j.diabres.2013.11.002

    Article  CAS  PubMed  Google Scholar 

  2. V. Jha, G. Garcia-Garcia, K. Iseki, Z. Li, S. Naicker, B. Plattner, R. Saran, A.Y.-M. Wang, C.-W. Yang, Chronic kidney disease: global dimension and perspectives. Lancet 382(9888), 260–272 (2013). doi:10.1016/s0140-6736(13)60687-x

    Article  PubMed  Google Scholar 

  3. M. Kastarinen, A. Juutilainen, H. Kastarinen, V. Salomaa, P. Karhapaa, J. Tuomilehto, C. Gronhagen-Riska, P. Jousilahti, P. Finne, Risk factors for end-stage renal disease in a community-based population: 26-year follow-up of 25,821 men and women in eastern Finland. J. Intern. Med. 267(6), 612–620 (2010). doi:10.1111/j.1365-2796.2009.02197.x

    Article  CAS  PubMed  Google Scholar 

  4. Y.T. Chang, J.L. Wu, C.C. Hsu, J.D. Wang, J.M. Sung, Diabetes and end-stage renal disease synergistically contribute to increased incidence of cardiovascular events: a nationwide follow-up study during 1998-2009. Diabetes Care 37(1), 277–285 (2014). doi:10.2337/dc13-0781

    Article  PubMed  Google Scholar 

  5. S. Nag, R. Bilous, W. Kelly, S. Jones, N. Roper, V. Connolly, All-cause and cardiovascular mortality in diabetic subjects increases significantly with reduced estimated glomerular filtration rate (eGFR): 10 years’ data from the South Tees Diabetes Mortality study. Diabetic Med. 24(1), 10–17 (2007). doi:10.1111/j.1464-5491.2007.02023.x

    Article  CAS  PubMed  Google Scholar 

  6. J. Neugarten, A. Acharya, S.R. Silbiger, Effect of gender on the progression of nondiabetic renal disease: a meta-analysis. J. Am. Soc. Nephrol. 11(2), 319–329 (2000)

    CAS  PubMed  Google Scholar 

  7. C. Maric, Sex, diabetes and the kidney. Am. J. Physiol. Renal Physiol. 296(4), F680–F688 (2009). doi:10.1152/ajprenal.90505.2008

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. A. Mollsten, M. Svensson, I. Waernbaum, Y. Berhan, S. Schon, L. Nystrom, H.J. Arnqvist, G. Dahlquist, Swedish Childhood Diabetes Study, G., Diabetes Incidence Study in, S., Swedish Renal, R. Cumulative risk, age at onset, and sex-specific differences for developing end-stage renal disease in young patients with type 1 diabetes: a nationwide population-based cohort study. Diabetes 59(7), 1803–1808 (2010). doi:10.2337/db09-1744

  9. K. Raile, A. Galler, S. Hofer, A. Herbst, D. Dunstheimer, P. Busch, R.W. Holl, Diabetic nephropathy in 27,805 children, adolescents, and adults with type 1 diabetes: effect of diabetes duration, A1C, hypertension, dyslipidemia, diabetes onset, and sex. Diabetes Care 30(10), 2523–2528 (2007). doi:10.2337/dc07-0282

    Article  PubMed  Google Scholar 

  10. P. Hovind, L. Tarnow, P. Rossing, B.R. Jensen, M. Graae, I. Torp, C. Binder, H.H. Parving, Predictors for the development of microalbuminuria and macroalbuminuria in patients with type 1 diabetes: inception cohort study. Br. Med. J. 328(7448), 1105 (2004). doi:10.1136/bmj.38070.450891.FE

    Article  Google Scholar 

  11. M.K. Yu, C.R. Lyles, L.A. Bent-Shaw, B.A. Young, A. Pathways, Risk factor, age and sex differences in chronic kidney disease prevalence in a diabetic cohort: the pathways study. Am. J. Nephrol. 36(3), 245–251 (2012). doi:10.1159/000342210

    Article  PubMed  PubMed Central  Google Scholar 

  12. M.K. Yu, W. Katon, B.A. Young, Associations between sex and incident chronic kidney disease in a prospective diabetic cohort. Nephrology 20(7), 451–458 (2015). doi:10.1111/nep.12468

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. M.C. Monti, J.T. Lonsdale, C. Montomoli, R. Montross, E. Schlag, D.A. Greenberg, Familial risk factors for microvascular complications and differential male-female risk in a large cohort of American families with type 1 diabetes. J. Clin. Endocrinol. Metab. 92(12), 4650–4655 (2007). doi:10.1210/jc.2007-1185

    Article  CAS  PubMed  Google Scholar 

  14. P. Rossing, P. Hougaard, H.H. Parving, Risk factors for development of incipient and overt diabetic nephropathy in type 1 diabetic patients: a 10-year prospective observational study. Diabetes Care 25(5), 859–864 (2002)

    Article  PubMed  Google Scholar 

  15. J.A. Breyer, R.P. Bain, J.K. Evans, N.S. Nahman Jr., E.J. Lewis, M. Cooper, J. McGill, T. Berl, Predictors of the progression of renal insufficiency in patients with insulin-dependent diabetes and overt diabetic nephropathy. The Collaborative Study Group. Kidney Int. 50(5), 1651–1658 (1996)

    Article  CAS  PubMed  Google Scholar 

  16. K. Okada, M. Yanai, K. Takeuchi, K. Matsuyama, K. Nitta, K. Hayashi, S. Takahashi, Sex differences in the prevalence, progression, and improvement of chronic kidney disease. Kidney Blood Press. Res. 39(4), 279–288 (2014). doi:10.1159/000355805

    Article  CAS  PubMed  Google Scholar 

  17. A. Stang, Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur. J. Epidemiol. 25(9), 603–605 (2010). doi:10.1007/s10654-010-9491-z

    Article  PubMed  Google Scholar 

  18. P.E. Stevens, A. Levin, Kidney disease: improving global outcomes chronic kidney disease guideline development work group, M., Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Ann. Intern. Med. 158(11), 825–830 (2013). doi:10.7326/0003-4819-158-11-201306040-00007

    Article  PubMed  Google Scholar 

  19. A.S. Levey, J. Coresh, T. Greene, J. Marsh, L.A. Stevens, J.W. Kusek, F. Van Lente, Chronic Kidney Disease Epidemiology, C.: Expressing the modification of diet in renal disease study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin. Chem. 53(4), 766–772 (2007). doi:10.1373/clinchem.2006.077180

  20. J.L. Teruel, J. Sabater, C. Galeano, M. Rivera, J.L. Merino, M. Fernandez Lucas, R. Marcen, J. Ortuno, [The Cockcroft-Gault equation is better than MDRD equation to estimate the glomerular filtration rate in patients with advanced chronic renal failure]. Nefrologia 27(3), 313–319 (2007)

    CAS  PubMed  Google Scholar 

  21. A.A. Sanusi, A. Akinsola, A.A. Ajayi, Creatinine clearance estimation from serum creatinine values: evaluation and comparison of five prediction formulae in Nigerian patients. Afr. J. Med. Med. Sci. 29(1), 7–11 (2000)

    CAS  PubMed  Google Scholar 

  22. A.S. Levey, L.A. Stevens, C.H. Schmid, Y.L. Zhang, A.F. Castro 3rd, H.I. Feldman, J.W. Kusek, P. Eggers, F. Van Lente, T. Greene, J. Coresh, E.P.I. Ckd, A new equation to estimate glomerular filtration rate. Ann. Intern. Med. 150(9), 604–612 (2009)

    Article  PubMed  PubMed Central  Google Scholar 

  23. L. Hoste, L. Dubourg, L. Selistre, V.C. De Souza, B. Ranchin, A. Hadj-Aissa, P. Cochat, F. Martens, H. Pottel, A new equation to estimate the glomerular filtration rate in children, adolescents and young adults. Nephrol. Dial. Transpl. 29(5), 1082–1091 (2014). doi:10.1093/ndt/gft277

    Article  CAS  Google Scholar 

  24. S.A.E. Peters, R.R. Huxley, M. Woodward, Diabetes as a risk factor for stroke in women compared with men: a systematic review and meta-analysis of 64 cohorts, including 775 385 individuals and 12 539 strokes. Lancet 383(9933), 1973–1980 (2014). doi:10.1016/S0140-6736(14)60040-4

    Article  PubMed  Google Scholar 

  25. J.P. Higgins, S.G. Thompson, Quantifying heterogeneity in a meta-analysis. Stat. Med. 21(11), 1539–1558 (2002). doi:10.1002/sim.1186

    Article  PubMed  Google Scholar 

  26. M. Egger, G. Davey Smith, M. Schneider, C. Minder, Bias in meta-analysis detected by a simple, graphical test. Br. Med. J. 315(7109), 629–634 (1997)

    Article  CAS  Google Scholar 

  27. S. Duval, E. Weinhandl, Correcting for Publication Bias in the Presence of Covariates. Methods Research Report (Prepared by the Minnesota Evidence-based Practice Center under Contract No. 290-02-0009.) AHRQ Publication No. 11-EHC041-EF. Rockville, MD: Agency for Healthcare Research and Quality. September 2011. Available at: www.effectivehealthcare.ahrq.gov/reports/final.cfm

    Google Scholar 

  28. F. Hoffmann, B. Haastert, M. Koch, G. Giani, G. Glaeske, A. Icks, The effect of diabetes on incidence and mortality in end-stage renal disease in Germany. Nephrol. Dial. Transpl. 26(5), 1634–1640 (2011). doi:10.1093/ndt/gfq609

    Article  Google Scholar 

  29. J.C. van Blijderveen, S.M. Straus, R. Zietse, B.H. Stricker, M.C. Sturkenboom, K.M. Verhamme, A population-based study on the prevalence and incidence of chronic kidney disease in the Netherlands. Int. Urol. Nephrol. 46(3), 583–592 (2014). doi:10.1007/s11255-013-0563-3

    Article  PubMed  Google Scholar 

  30. J.L. Xue, P.W. Eggers, L.Y. Agodoa, R.N. Foley, A.J. Collins, Longitudinal study of racial and ethnic differences in developing end-stage renal disease among aged medicare beneficiaries. J. Am. Soc. Nephrol. 18(4), 1299–1306 (2007). doi:10.1681/ASN.2006050524

    Article  PubMed  Google Scholar 

  31. J. Hippisley-Cox, C. Coupland, Predicting the risk of chronic kidney disease in men and women in England and Wales: prospective derivation and external validation of the QKidney Scores. BMC Fam. Pract. 11, 49 (2010). doi:10.1186/1471-2296-11-49

    Article  PubMed  PubMed Central  Google Scholar 

  32. K. Nagai, C. Saito, F. Watanabe, R. Ohkubo, C. Sato, T. Kawamura, K. Uchida, A. Hiwatashi, H. Kai, K. Ishida, T. Sairenchi, K. Yamagata, Annual incidence of persistent proteinuria in the general population from Ibaraki annual urinalysis study. Clin. Exp. Nephrol. 17(2), 255–260 (2013). doi:10.1007/s10157-012-0692-5

    Article  PubMed  Google Scholar 

  33. M. Tohidi, M. Hasheminia, R. Mohebi, D. Khalili, F. Hosseinpanah, B. Yazdani, A.A. Nasiri, F. Azizi, F. Hadaegh, Incidence of chronic kidney disease and its risk factors, results of over 10 year follow up in an Iranian cohort. PloS One 7(9), e45304 (2012). doi:10.1371/journal.pone.0045304

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. M.K. Haroun, Risk factors for chronic kidney disease: a prospective study of 23,534 men and women in Washington County, Maryland. J. Am. Soc. Nephrol. 14(11), 2934–2941 (2003). doi:10.1097/01.asn.0000095249.99803.85

    Article  PubMed  Google Scholar 

  35. R.F. Dyck, L. Tan, Rates and outcomes of diabetic end-stage renal disease among registered native people in Saskatchewan. Can. Med. Assoc. J. 150(2), 203–208 (1994)

    CAS  Google Scholar 

  36. K. Yamagata, K. Ishida, T. Sairenchi, H. Takahashi, S. Ohba, T. Shiigai, M. Narita, A. Koyama, Risk factors for chronic kidney disease in a community-based population: a 10-year follow-up study. Kidney Int. 71(2), 159–166 (2007). doi:10.1038/sj.ki.5002017

    Article  CAS  PubMed  Google Scholar 

  37. E.S. Johnson, D.H. Smith, M.L. Thorp, X. Yang, J. Juhaeri, Predicting the risk of end-stage renal disease in the population-based setting: a retrospective case-control study. BMC Nephrol. 12, 17 (2011). doi:10.1186/1471-2369-12-17

    Article  PubMed  PubMed Central  Google Scholar 

  38. R. Retnakaran, C.A. Cull, K.I. Thorne, A.I. Adler, R.R. Holman, U.S. Group, Risk factors for renal dysfunction in type 2 diabetes: U.K. prospective diabetes study 74. Diabetes 55(6), 1832–1839 (2006). doi:10.2337/db05-1620

    Article  CAS  PubMed  Google Scholar 

  39. V.L. Roger, A.S. Go, D.M. Lloyd-Jones, E.J. Benjamin, J.D. Berry, W.B. Borden, D.M. Bravata, S. Dai, E.S. Ford, C.S. Fox, H.J. Fullerton, C. Gillespie, S.M. Hailpern, J.A. Heit, V.J. Howard, B.M. Kissela, S.J. Kittner, D.T. Lackland, J.H. Lichtman, L.D. Lisabeth, D.M. Makuc, G.M. Marcus, A. Marelli, D.B. Matchar, C.S. Moy, D. Mozaffarian, M.E. Mussolino, G. Nichol, N.P. Paynter, E.Z. Soliman, P.D. Sorlie, N. Sotoodehnia, T.N. Turan, S.S. Virani, N.D. Wong, D. Woo, M.B. Turner; American Heart Association Statistics, C., Stroke Statistics, S.: Heart disease and stroke statistics—2012 update: a report from the American Heart Association. Circulation 125(1), e2–e220 (2012). doi:10.1161/CIR.0b013e31823ac046

    Article  PubMed  Google Scholar 

  40. A.O. Luk, W.Y. So, R.C. Ma, A.P. Kong, R. Ozaki, V.S. Ng, L.W. Yu, W.W. Lau, X. Yang, F.C. Chow, J.C. Chan, P. C. Tong, Hong Kong Diabetes, R.: Metabolic syndrome predicts new onset of chronic kidney disease in 5,829 patients with type 2 diabetes: a 5-year prospective analysis of the Hong Kong Diabetes Registry. Diabetes Care 31(12), 2357–2361 (2008). doi:10.2337/dc08-0971

  41. I. Gouni-Berthold, H.K. Berthold, C.S. Mantzoros, M. Bohm, W. Krone, Sex disparities in the treatment and control of cardiovascular risk factors in type 2 diabetes. Diabetes Care 31(7), 1389–1391 (2008). doi:10.2337/dc08-0194

    Article  PubMed  PubMed Central  Google Scholar 

  42. G. Penno, A. Solini, E. Bonora, C. Fondelli, E. Orsi, G. Zerbini, R. Trevisan, M. Vedovato, G. Gruden, L. Laviola, A. Nicolucci, G. Pugliese, I. Renal; Cardiovascular Events Study, G.: Gender differences in cardiovascular disease risk factors, treatments and complications in patients with type 2 diabetes: the RIACE Italian multicentre study. J. Int. Med. 274(2), 176–191 (2013). doi:10.1111/joim.12073

    Article  CAS  Google Scholar 

  43. D.J. Wexler, R.W. Grant, J.B. Meigs, D.M. Nathan, E. Cagliero, Sex disparities in treatment of cardiac risk factors in patients with type 2 diabetes. Diabetes Care 28(3), 514–520 (2005)

    Article  PubMed  Google Scholar 

  44. A. Ferrara, C.M. Mangione, C. Kim, D.G. Marrero, D. Curb, M. Stevens, J.V. Selby, Translating Research Into Action for Diabetes Study, G.: Sex disparities in control and treatment of modifiable cardiovascular disease risk factors among patients with diabetes: translating research into action for diabetes (TRIAD) study. Diabetes Care 31(1), 69–74 (2008). doi:10.2337/dc07-1244

  45. S.G. Wannamethee, O. Papacosta, D.A. Lawlor, P.H. Whincup, G.D. Lowe, S. Ebrahim, N. Sattar, Do women exhibit greater differences in established and novel risk factors between diabetes and non-diabetes than men? The British Regional Heart Study and British Women’s Heart Health Study. Diabetologia 55(1), 80–87 (2012). doi:10.1007/s00125-011-2284-4

    Article  CAS  PubMed  Google Scholar 

  46. S. Xiao, D.G. Gillespie, C. Baylis, E.K. Jackson, R.K. Dubey, Effects of estradiol and its metabolites on glomerular endothelial nitric oxide synthesis and mesangial cell growth. Hypertension 37(2 Pt 2), 645–650 (2001)

    Article  CAS  PubMed  Google Scholar 

  47. L.L. Yanes, J.C. Sartori-Valinotti, J.F. Reckelhoff, Sex steroids and renal disease: lessons from animal studies. Hypertension 51(4), 976–981 (2008). doi:10.1161/HYPERTENSIONAHA.107.105767

    Article  CAS  PubMed  Google Scholar 

  48. S. Doublier, E. Lupia, P. Catanuto, S.J. Elliot, Estrogens and progression of diabetic kidney damage. Curr. Diabetes. Rev. 7(1), 28–34 (2011)

    Article  CAS  PubMed  Google Scholar 

  49. J.F. Reckelhoff, L.L. Yanes, R. Iliescu, L.A. Fortepiani, J.P. Granger, Testosterone supplementation in aging men and women: possible impact on cardiovascular-renal disease. Am. J. Physiol. Renal. Physiol. 289(5), F941–948 (2005). doi:10.1152/ajprenal.00034.2005

    Article  CAS  PubMed  Google Scholar 

  50. L.A. Fortepiani, L. Yanes, H. Zhang, L.C. Racusen, J.F. Reckelhoff, Role of androgens in mediating renal injury in aging SHR. Hypertension 42(5), 952–955 (2003). doi:10.1161/01.HYP.0000099241.53121.7F

    Article  CAS  PubMed  Google Scholar 

  51. A. Dixon, C. Maric, 17beta-Estradiol attenuates diabetic kidney disease by regulating extracellular matrix and transforming growth factor-beta protein expression and signaling. Am. J. Physiol. Renal Physiol. 293(5), F1678–F1690 (2007). doi:10.1152/ajprenal.00079.2007

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. P. Catanuto, S. Doublier, E. Lupia, A. Fornoni, M. Berho, M. Karl, G.E. Striker, X. Xia, S. Elliot, 17 beta-estradiol and tamoxifen upregulate estrogen receptor beta expression and control podocyte signaling pathways in a model of type 2 diabetes. Kidney Int. 75(11), 1194–1201 (2009). doi:10.1038/ki.2009.69

    Article  CAS  PubMed  Google Scholar 

  53. R.W. Mankhey, C.C. Wells, F. Bhatti, C. Maric, 17beta-Estradiol supplementation reduces tubulointerstitial fibrosis by increasing MMP activity in the diabetic kidney. Am. J. Physiol. Regul. Integr. Comp. Physiol. 292(2), R769–R777 (2007). doi:10.1152/ajpregu.00375.2006

    Article  CAS  PubMed  Google Scholar 

  54. R.W. Mankhey, F. Bhatti, C. Maric, 17beta-Estradiol replacement improves renal function and pathology associated with diabetic nephropathy. Am. J. Physiol. Renal Physiol. 288(2), F399–F405 (2005). doi:10.1152/ajprenal.00195.2004

    Article  CAS  PubMed  Google Scholar 

  55. Q. Xu, C.C. Wells, J.H. Garman, L. Asico, C.S. Escano, C. Maric, Imbalance in sex hormone levels exacerbates diabetic renal disease. Hypertension 51(4), 1218–1224 (2008). doi:10.1161/HYPERTENSIONAHA.107.100594

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. D.Z. Cherney, E.B. Sochett, J.A. Miller, Gender differences in renal responses to hyperglycemia and angiotensin-converting enzyme inhibition in diabetes. Kidney Int. 68(4), 1722–1728 (2005). doi:10.1111/j.1523-1755.2005.00588.x

    Article  PubMed  Google Scholar 

  57. C.A. Jones, A.S. Krolewski, J. Rogus, J.L. Xue, A. Collins, J.H. Warram, Epidemic of end-stage renal disease in people with diabetes in the United States population: do we know the cause?. Kidney Int. 67(5), 1684–1691 (2005). doi:10.1111/j.1523-1755.2005.00265.x

    Article  PubMed  Google Scholar 

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Shen, Y., Cai, R., Sun, J. et al. Diabetes mellitus as a risk factor for incident chronic kidney disease and end-stage renal disease in women compared with men: a systematic review and meta-analysis. Endocrine 55, 66–76 (2017). https://doi.org/10.1007/s12020-016-1014-6

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