6.
Rubin D, Schenker N
. Multiple imputation in health-care databases: an overview and some applications. Stat Med. 1991; 10(4):585-98.
DOI: 10.1002/sim.4780100410.
View
7.
Solomon S, McMurray J, Claggett B, de Boer R, DeMets D, Hernandez A
. Dapagliflozin in Heart Failure with Mildly Reduced or Preserved Ejection Fraction. N Engl J Med. 2022; 387(12):1089-1098.
DOI: 10.1056/NEJMoa2206286.
View
8.
Grams M, Sang Y, Ballew S, Matsushita K, Astor B, Carrero J
. Evaluating Glomerular Filtration Rate Slope as a Surrogate End Point for ESKD in Clinical Trials: An Individual Participant Meta-Analysis of Observational Data. J Am Soc Nephrol. 2019; 30(9):1746-1755.
PMC: 6727262.
DOI: 10.1681/ASN.2019010008.
View
9.
Kobayashi K, Toyoda M, Tone A, Kawanami D, Suzuki D, Tsuriya D
. Renoprotective effects of combination treatment with sodium-glucose cotransporter inhibitors and GLP-1 receptor agonists in patients with type 2 diabetes mellitus according to preceding medication. Diab Vasc Dis Res. 2023; 20(6):14791641231222837.
PMC: 10725108.
DOI: 10.1177/14791641231222837.
View
10.
Aloisio K, Swanson S, Micali N, Field A, Horton N
. Analysis of partially observed clustered data using generalized estimating equations and multiple imputation. Stata J. 2015; 14(4):863-883.
PMC: 4306281.
View
11.
. Impact of diabetes on the effects of sodium glucose co-transporter-2 inhibitors on kidney outcomes: collaborative meta-analysis of large placebo-controlled trials. Lancet. 2022; 400(10365):1788-1801.
PMC: 7613836.
DOI: 10.1016/S0140-6736(22)02074-8.
View
12.
Kume S, Araki S, Ugi S, Morino K, Koya D, Nishio Y
. Secular changes in clinical manifestations of kidney disease among Japanese adults with type 2 diabetes from 1996 to 2014. J Diabetes Investig. 2018; 10(4):1032-1040.
PMC: 6626952.
DOI: 10.1111/jdi.12977.
View
13.
Wanner C, Inzucchi S, Lachin J, Fitchett D, von Eynatten M, Mattheus M
. Empagliflozin and Progression of Kidney Disease in Type 2 Diabetes. N Engl J Med. 2016; 375(4):323-34.
DOI: 10.1056/NEJMoa1515920.
View
14.
Furukawa K, Preston D, Misumi M, Cullings H
. Handling incomplete smoking history data in survival analysis. Stat Methods Med Res. 2014; 26(2):707-723.
DOI: 10.1177/0962280214556794.
View
15.
Norris K, Smoyer K, Rolland C, Van der Vaart J, Grubb E
. Albuminuria, serum creatinine, and estimated glomerular filtration rate as predictors of cardio-renal outcomes in patients with type 2 diabetes mellitus and kidney disease: a systematic literature review. BMC Nephrol. 2018; 19(1):36.
PMC: 5807748.
DOI: 10.1186/s12882-018-0821-9.
View
16.
Heerspink H, Stefansson B, Correa-Rotter R, Chertow G, Greene T, Hou F
. Dapagliflozin in Patients with Chronic Kidney Disease. N Engl J Med. 2020; 383(15):1436-1446.
DOI: 10.1056/NEJMoa2024816.
View
17.
Sumida K, Nadkarni G, Grams M, Sang Y, Ballew S, Coresh J
. Conversion of Urine Protein-Creatinine Ratio or Urine Dipstick Protein to Urine Albumin-Creatinine Ratio for Use in Chronic Kidney Disease Screening and Prognosis : An Individual Participant-Based Meta-analysis. Ann Intern Med. 2020; 173(6):426-435.
PMC: 7780415.
DOI: 10.7326/M20-0529.
View
18.
Kim M, Kim D
. Current status of diabetic kidney disease and latest trends in management. J Diabetes Investig. 2022; 13(12):1961-1962.
PMC: 9720214.
DOI: 10.1111/jdi.13895.
View
19.
Soejima H, Ogawa H, Morimoto T, Okada S, Matsumoto C, Nakayama M
. Kidney function deterioration is dependent on blood pressure levels: 11.2 year follow-up in diabetic patients. Heart Vessels. 2022; 37(11):1873-1881.
DOI: 10.1007/s00380-022-02085-0.
View
20.
Shikata K, Kodera R, Utsunomiya K, Koya D, Nishimura R, Miyamoto S
. Prevalence of albuminuria and renal dysfunction, and related clinical factors in Japanese patients with diabetes: The Japan Diabetes Complication and its Prevention prospective study 5. J Diabetes Investig. 2019; 11(2):325-332.
PMC: 7078093.
DOI: 10.1111/jdi.13116.
View