Rodrigues JC, Haas M, Reich HN. IgA nephropathy. Clin J Am Soc Nephrol. 2017;12(4):677–86.
Article CAS PubMed PubMed Central Google Scholar
Coppo R, D’Arrigo G, Tripepi G, Russo ML, Roberts ISD, Bellur S, et al. Is there long-term value of pathology scoring in immunoglobulin A nephropathy? A validation study of the Oxford classification for IgA nephropathy (VALIGA) update. Nephrol Dial Transplant. 2020;35(6):1002–9.
Article CAS PubMed Google Scholar
Knoop T, Vikse BE, Mwakimonga A, Leh S, Bjørneklett R. Long-term outcome in 145 patients with assumed benign immunoglobulin A nephropathy. Nephrol Dial Transplant. 2017;32(11):1841–50.
Article CAS PubMed Google Scholar
Rovin BH, Adler SG, Barratt J, Bridoux F, Burdge KA, Chan TM, et al. KDIGO 2021 Clinical Practice Guideline for the Management of Glomerular Diseases. Kidney Int. 2021;100(4):S1–276.
Cheung CK, Rajasekaran A, Barratt J, Rizk DV. An update on the current state of management and clinical trials for IgA nephropathy. J Clin Med. 2021;10(11):2493.
Article CAS PubMed PubMed Central Google Scholar
Rauen T, Wied S, Fitzner C, Eitner F, Sommerer C, Zeier M, et al. After ten years of follow-up, no difference between supportive care plus immunosuppression and supportive care alone in IgA nephropathy. Kidney Int. 2020;98(4):1044–52.
Article CAS PubMed Google Scholar
Lv J, Zhang H, Perkovic V. Effect of oral methylprednisolone on clinical outcomes in patients with IgA nephropathy. JAMA. 2017;318(5):432–42.
Article CAS PubMed PubMed Central Google Scholar
Tangri N, Grams ME, Levey AS, Coresh J, Appel LJ, Astor BC, et al. Multinational assessment of accuracy of equations for predicting risk of kidney failure a meta-analysis. JAMA. 2016;315(2):164–74.
Article CAS PubMed PubMed Central Google Scholar
Barbour SJ, Coppo R, Zhang H, Liu ZH, Suzuki Y, Matsuzaki K, et al. Evaluating a new International Risk-Prediction Tool in IgA nephropathy. JAMA Intern Med. 2019;179(7):942–52.
Roberts ISD, Cook HT, Troyanov S, Alpers CE, Amore A, Barratt J, et al. The Oxford classification of IgA nephropathy: pathology definitions, correlations, and reproducibility. Kidney Int. 2009;76(5):546–56.
Rottenstreich A. Bleeding risk assessment and the role of primary hemostasis screening in patients undergoing kidney biopsy. Isr Med Assoc J. 2018;20(August):499–503.
Charu V, O’Shaughnessy MM, Chertow GM, Kambham N. Percutaneous kidney biopsy and the utilization of blood transfusion and renal angiography among hospitalized adults. Kidney Int Rep. 2019;4(10):1435–45.
Article PubMed PubMed Central Google Scholar
Bandari J, Fuller TW, Turner RM II, D’Agostino LA. Renal biopsy for medical renal disease: indications and contraindications. Can J Urol. 2016;23(1):8121–6.
Moher D, Liberati A, Tetzlaff J, Altman DG, Antes G, Atkins D, et al. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.
Moons KG, Hooft L, Williams K, Hayden JA, Damen JA, Riley RD. Implementing systematic reviews of prognosis studies in Cochrane. The Cochrane Database Syst Rev. 2018;10:ED000129.
Moons KGM, Wolff RF, Riley RD, Whiting PF, Westwood M, Collins GS, et al. PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration. Ann Intern Med. 2019;170(1):W1–33.
Sumida K, Nadkarni GN, Grams ME, Sang Y, Ballew SH, Coresh J, et al. 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):426–35.
Article PubMed PubMed Central Google Scholar
Iorio A, Spencer FA, Falavigna M, Alba C, Lang E, Burnand B, et al. Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients. BMJ. 2015;350(870).
Ouyang Y, Zhao Z, Li G, Luo H, Xu F, Shao L, et al. A validation study comparing risk prediction models of IgA nephropathy. Front Immunol. 2021;15:12.
O’Shaughnessy MM, Hogan SL, Thompson BD, Coppo R, Fogo AB, Jennette JC. Glomerular disease frequencies by race, sex and region: results from the International Kidney Biopsy Survey. Nephrol Dial Transplant. 2018;33(4):661–9.
Ali I, Donne RL, Kalra PA. A validation study of the kidney failure risk equation in advanced chronic kidney disease according to disease aetiology with evaluation of discrimination, calibration and clinical utility. BMC Nephrol. 2021;22(1).
Shi SF, Wang SX, Jiang L, Ji-Cheng L, Liu LJ, Chen YQ, et al. Pathologic predictors of renal outcome and therapeutic efficacy in IgA nephropathy: validation of the Oxford classification. Clin J Am Soc Nephrol. 2011;6(9):2175–84.
Article CAS PubMed PubMed Central Google Scholar
Tanaka S, Ninomiya T, Katafuchi R, Masutani K, Tsuchimoto A, Noguchi H, et al. Development and validation of a prediction rule using the Oxford classification in IgA nephropathy. Clin J Am Soc Nephrol. 2013;8(12):2082–90.
Article CAS PubMed PubMed Central Google Scholar
Cattran DC, Coppo R, Cook HT, Feehally J, Roberts ISD, Troyanov S, et al. The Oxford classification of IgA nephropathy: rationale, clinicopathological correlations, and classification. Kidney Int. 2009;76(5):534–45.
Katafuchi R, Ninomiya T, Nagata M, Mitsuiki K, Hirakata H. Validation study of Oxford classification of IgA nephropathy: the significance of extracapillary proliferation. Clin J Am Soc Nephrol. 2011;6:2806–13.
Article CAS PubMed PubMed Central Google Scholar
Alamartine E, Sauron C, Laurent B, Sury A, Seffert A, Mariat C. The use of the Oxford classification of IgA nephropathy to predict renal survival. Clin J Am Soc Nephrol. 2011;6(10):2384–8.
Article PubMed PubMed Central Google Scholar
Coppo R, Troyanov S, Bellur S, Cattran D, Cook HT, Feehally J, et al. Validation of the Oxford classification of IgA nephropathy in cohorts with different presentations and treatments. Kidney Int. 2014;86(4):828–36.
Article CAS PubMed PubMed Central Google Scholar
Xie J, Kiryluk K, Wang W, Wang Z, Guo S, Shen P, et al. Predicting progression of IgA nephropathy: new clinical progression risk score. PLoS One. 2012;7(6):e38904.
McQuarrie EP, Mackinnon B, McNeice V, Fox JG, Geddes CC. The incidence of biopsy-proven IgA nephropathy is associated with multiple socioeconomic deprivation. Kidney Int. 2014;85(1):198–203.
Burke JP, Pham T, May S, Okano S, Ratanjee SK, Thet Z, et al. Kidney biopsy practice amongst Australasian nephrologists. BMC Nephrol. 2021;22(1):291.
Kawaguchi T, Nagasawsa T, Tsuruya K, Miura K, Katsuno T, Morikawa T, et al. A nationwide survey on clinical practice patterns and bleeding complications of percutaneous native kidney biopsy in Japan. Clin Exp Nephrol. 2020;24(5):389–401.
Article CAS PubMed PubMed Central Google Scholar
Jullien P, Laurent B, Berthoux F, Masson I, Dinic M, Claisse G, et al. Repeat renal biopsy improves the Oxford classification-based prediction of immunoglobulin A nephropathy outcome. Nephrol Dial Transplant. 2020;35(7):1179–86.
Article CAS PubMed Google Scholar
Barbour SJ, Coppo R, Zhang H, Liu ZH, Suzuki Y, Matsuzaki K, et al. Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy. Kidney Int. 2022;102(1):160–72.
Article CAS PubMed Google Scholar
Ramspek CL, de Jong Y, Dekker FW, van Diepen M. Towards the best kidney failure prediction tool: a systematic review and selection aid. Nephrol Dial Transplant. 2020;35(9):1527–38.
Lim DKE, Boyd JH, Thomas E, Chakera A, Tippaya S, Irish A, et al. Prediction models used in the progression of chronic kidney disease: a scoping review, vol. 17. PLoS ONE: Public Library of Science; 2022.
Barbour SJ, Espino-Hernandez G, Reich HN, Coppo R, Roberts ISD, Feehally J, et al. The MEST score provides earlier risk prediction in lgA nephropathy. Kidney Int. 2016;89(1):167–75.
Article CAS PubMed Google Scholar
Berthoux F, Mohey H, Laurent B, Mariat C, Afiani A, Thibaudin L. Predicting the risk for dialysis or death in IgA nephropathy. J Am Soc Nephrol. 2011;22(4):752–61.
留言 (0)