{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,12]],"date-time":"2026-11-12T06:56:06Z","timestamp":1794466566347,"version":"4.9.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T00:00:00Z","timestamp":1753660800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T00:00:00Z","timestamp":1753660800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pediatr Rheumatol"],"DOI":"10.1186\/s12969-025-01120-4","type":"journal-article","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T11:44:23Z","timestamp":1753703063000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Risk prediction models for renal injury in children with IgA vasculitis: a systematic review and meta-analysis"],"prefix":"10.1186","volume":"23","author":[{"given":"Jianrong","family":"Liao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuqiong","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fengbi","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9680-1651","authenticated-orcid":false,"given":"Ping","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,28]]},"reference":[{"issue":"4","key":"1120_CR1","doi-asserted-by":"publisher","first-page":"265","DOI":"10.2174\/1573396316666200508104708","volume":"16","author":"AKC Leung","year":"2021","unstructured":"Leung AKC, Barankin B, Leong KF. Henoch-Sch\u00f6nlein Purpura in children: an updated review. Curr Pediatr Rev. 2021;16(4):265\u201376.","journal-title":"Curr Pediatr Rev"},{"issue":"9","key":"1120_CR2","doi-asserted-by":"publisher","first-page":"1394","DOI":"10.3390\/children9091394","volume":"9","author":"N Carucci","year":"2022","unstructured":"Carucci N, La Barbera G, Peruzzi L, La Mazza A, Silipigni L, Alibrandi A, et al. Time of onset and risk factors of renal involvement in children with Henoch-Sch\u00f6nlein purpura: retrospective study. Children. 2022;9(9):1394.","journal-title":"Children"},{"key":"1120_CR3","doi-asserted-by":"publisher","first-page":"1164099","DOI":"10.3389\/fped.2023.1164099","volume":"11","author":"T Cao","year":"2023","unstructured":"Cao T, Yang H, min, Huang J, Hu Y. Risk factors associated with recurrence of Henoch-Schonlein purpura: a retrospective study. Front Pediatr. 2023;11:1164099.","journal-title":"Front Pediatr"},{"issue":"6","key":"1120_CR4","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1016\/j.jped.2021.01.008","volume":"97","author":"WK Kim","year":"2021","unstructured":"Kim WK, Kim CJ, Yang EM. Risk factors for renal involvement in Henoch-Sch\u00f6nlein purpura. J Pediatr (Rio J). 2021;97(6):646\u201350.","journal-title":"J Pediatr (Rio J)"},{"key":"1120_CR5","doi-asserted-by":"publisher","first-page":"3117","DOI":"10.1007\/s00431-024-05573-9","volume":"183","author":"M Yu","year":"2024","unstructured":"Yu M, Song X, Guo J, Feng Q, Tian J. Exploring potential predictors of Henoch-Sch\u00f6nlein purpura nephritis: a pilot investigation on urinary metabolites. Eur J Pediatr. 2024;183:3117\u201328.","journal-title":"Eur J Pediatr"},{"issue":"10","key":"1120_CR6","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.2340\/00015555-2733","volume":"97","author":"L Hetland","year":"2017","unstructured":"Hetland L, Susrud K, Lindahl K, Bygum A. Henoch-Sch\u00f6nlein purpura: A literature review. Acta Derm Venereol. 2017;97(10):1160\u20136.","journal-title":"Acta Derm Venereol"},{"issue":"10","key":"1120_CR7","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1038\/nrneph.2014.126","volume":"10","author":"JC Davin","year":"2014","unstructured":"Davin JC, Coppo R. Henoch\u2013Sch\u00f6nlein purpura nephritis in children. Nat Rev Nephrol. 2014;10(10):563\u201373.","journal-title":"Nat Rev Nephrol"},{"issue":"1","key":"1120_CR8","doi-asserted-by":"publisher","first-page":"5585","DOI":"10.1038\/s41598-018-23638-2","volume":"8","author":"X Huang","year":"2018","unstructured":"Huang X, Wu X, Le W, Hao Y, Wu J, Zeng C, et al. Renal prognosis and related risk factors for Henoch-Sch\u00f6nlein Purpura nephritis: A Chinese adult patient cohort. Sci Rep. 2018;8(1):5585.","journal-title":"Sci Rep"},{"issue":"1","key":"1120_CR9","doi-asserted-by":"publisher","first-page":"38","DOI":"10.3803\/EnM.2016.31.1.38","volume":"31","author":"Yho Lee","year":"2016","unstructured":"Lee Yho, Bang H, Kim DJ. How to Establish clinical prediction models. Endocrinol Metab. 2016;31(1):38.","journal-title":"Endocrinol Metab"},{"key":"1120_CR10","doi-asserted-by":"publisher","first-page":"1407348","DOI":"10.3389\/fendo.2024.1407348","volume":"15","author":"W Xu","year":"2024","unstructured":"Xu W, Zhou Y, Jiang Q, Fang Y, Yang Q. Risk prediction models for diabetic nephropathy among type 2 diabetes patients in china: a systematic review and meta-analysis. Front Endocrinol (Lausanne). 2024;15:1407348. https:\/\/doi.org\/10.3389\/fendo.2024.1407348","journal-title":"Front Endocrinol (Lausanne)"},{"key":"1120_CR11","first-page":"1407348","volume":"15","author":"Y Bi","year":"2024","unstructured":"Bi Y, Quan W, Hao W, Sun R, Li L, Jiang C, et al. A simple nomogram for assessing the risk of IgA vasculitis nephritis in IgA vasculitis Asian pediatric patients. Sci Rep. 2024;15:1407348.","journal-title":"Sci Rep"},{"key":"1120_CR12","doi-asserted-by":"publisher","first-page":"999491","DOI":"10.3389\/fimmu.2022.999491","volume":"13","author":"K Wang","year":"2022","unstructured":"Wang K, Sun X, Jing S, Lin L, Cao Y, Peng X, et al. Development and validation of nomogram prediction model for severe kidney disease in children with Henoch-Sch\u00f6nlein purpura: A prospective analysis of two independent cohorts-forecast severe kidney disease outcome in 2,480 hospitalized Henoch-Sch\u00f6nlein purpura children. Front Immunol. 2022;13:999491.","journal-title":"Front Immunol"},{"issue":"10","key":"1120_CR13","doi-asserted-by":"publisher","first-page":"e1001744","DOI":"10.1371\/journal.pmed.1001744","volume":"11","author":"KG Moons","year":"2014","unstructured":"Moons KG, de Groot JA, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, et al. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med. 2014;11(10):e1001744.","journal-title":"PLoS Med"},{"issue":"1","key":"1120_CR14","doi-asserted-by":"publisher","first-page":"51","DOI":"10.7326\/M18-1377","volume":"170","author":"KGM Moons","year":"2019","unstructured":"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):51\u20138.","journal-title":"Ann Intern Med"},{"issue":"5","key":"1120_CR15","first-page":"2125","volume":"34","author":"JY Song","year":"2019","unstructured":"Song JY, Zhu YJ, Xi LM, Diao JJ, Pan YL. Establishment of a personalized nomogram for predicting the risk of Henoch-Sch\u00f6nlein Purpura nephritis in children. China J Traditional Chin Med Pharm. 2019;34(5):2125\u20139.","journal-title":"China J Traditional Chin Med Pharm"},{"issue":"2","key":"1120_CR16","first-page":"100","volume":"22","author":"LM Guo","year":"2022","unstructured":"Guo LM, Feng SP, Liu X, Li J. Risk factors for renal injury and nomogram construction in children with Henoch-Sch\u00f6nlein Purpura. J Clin Nephrol. 2022;22(2):100\u20135.","journal-title":"J Clin Nephrol"},{"issue":"6","key":"1120_CR17","first-page":"526","volume":"29","author":"Y Ye","year":"2020","unstructured":"Ye Y, Sun T, Shen S. A study on the prediction of renal damage in children with Henoch-Sch\u00f6nlein Purpura using machine learning. Chin J Nephrol. 2020;29(6):526\u201330.","journal-title":"Chin J Nephrol"},{"issue":"1","key":"1120_CR18","first-page":"62","volume":"23","author":"HM Chu","year":"2022","unstructured":"Chu HM, Wang JJ, Pan YL. Risk prediction of renal damage in children with Henoch-Sch\u00f6nlein Purpura based on machine learning algorithms. Chin Prev Med J. 2022;23(1):62\u20137.","journal-title":"Chin Prev Med J"},{"issue":"2","key":"1120_CR19","first-page":"299","volume":"28","author":"DY Song","year":"2021","unstructured":"Song DY, Zhao YQ, Wang H, Zhang HW, Cao C. Efficacy analysis of a risk prediction model for nephritis in children with HSP based on immune factors. Labeled Immunoassays Clin Med. 2021;28(2):299\u2013303.","journal-title":"Labeled Immunoassays Clin Med"},{"issue":"20","key":"1120_CR20","first-page":"59","volume":"27","author":"P Wan","year":"2023","unstructured":"Wan P, Xu JC, Wen L. Construction and validation of a clinical prediction model for early renal injury in patients with IgA vasculitis. J Clin Med Pract. 2023;27(20):59\u20136369.","journal-title":"J Clin Med Pract"},{"issue":"1","key":"1120_CR21","first-page":"38","volume":"33","author":"H Zhang","year":"2022","unstructured":"Zhang H, Li N, Tan L, He H, Xu M, Huang YP. Value of serological indicators combined with clinical features in predicting renal injury in children with Henoch-Sch\u00f6nlein Purpura. Chin J Woman Child Health Res. 2022;33(1):38\u201343.","journal-title":"Chin J Woman Child Health Res"},{"key":"1120_CR22","first-page":"1","volume":"2022","author":"T Cao","year":"2022","unstructured":"Cao T, Zhu Y, Zhu Y. Construction of prediction model of renal damage in children with Henoch-Sch\u00f6nlein Purpura based on machine learning. Comput Math Methods Med. 2022;2022:1\u20137.","journal-title":"Comput Math Methods Med"},{"key":"1120_CR23","doi-asserted-by":"publisher","first-page":"2997","DOI":"10.1007\/s00467-024-06432-3","volume":"39","author":"M Pan","year":"2024","unstructured":"Pan M, Li M, Li N, Mao J. Predicting renal damage in children with IgA vasculitis by machine learning. Pediatr Nephrol. 2024;39:2997\u20133004.","journal-title":"Pediatr Nephrol"},{"issue":"42","key":"1120_CR24","doi-asserted-by":"publisher","first-page":"e31135","DOI":"10.1097\/MD.0000000000031135","volume":"101","author":"J Wang","year":"2022","unstructured":"Wang J, Chu H, Pan Y. Prediction of renal damage in children with IgA vasculitis based on machine learning. Med (Baltim). 2022;101(42):e31135.","journal-title":"Med (Baltim)"},{"key":"1120_CR25","doi-asserted-by":"publisher","first-page":"104340","DOI":"10.1016\/j.ijnurstu.2022.104340","volume":"136","author":"S Cai","year":"2022","unstructured":"Cai S, Li J, Gao J, Pan W, Zhang Y. Prediction models for postoperative delirium after cardiac surgery: systematic review and critical appraisal. Int J Nurs Stud. 2022;136:104340.","journal-title":"Int J Nurs Stud"},{"issue":"3","key":"1120_CR26","doi-asserted-by":"publisher","first-page":"230","DOI":"10.32552\/2021.ActaMedica.585","volume":"52","author":"S Demir","year":"2021","unstructured":"Demir S, Candan C, Turhan P, Erg\u00fcven M. Henoch Sch\u00f6nlein Purpura \/ Ig A vasculitis in children and risk factors for renal involvement. Acta Med. 2021;52(3):230\u20138.","journal-title":"Acta Med"},{"issue":"1","key":"1120_CR27","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/s12969-020-00480-3","volume":"18","author":"CH Liao","year":"2020","unstructured":"Liao CH, Tsai M, Yang YH, Chiang BL, Wang LC. Onset age is a risk factor for refractory pediatric IgA vasculitis: a retrospective cohort study. Pediatr Rheumatol. 2020;18(1):86.","journal-title":"Pediatr Rheumatol"},{"issue":"11","key":"1120_CR28","doi-asserted-by":"publisher","first-page":"e0167346","DOI":"10.1371\/journal.pone.0167346","volume":"11","author":"H Chan","year":"2016","unstructured":"Chan H, Tang YL, Lv XH, Zhang GF, Wang M, Yang HP, et al. Risk factors associated with renal involvement in childhood Henoch-Sch\u00f6nlein purpura: A Meta-Analysis. PLoS ONE. 2016;11(11):e0167346.","journal-title":"PLoS ONE"},{"issue":"17","key":"1120_CR29","first-page":"3894","volume":"21","author":"DQ Ma","year":"2017","unstructured":"Ma DQ, Li Y, Han ZG, Zheng M, Xu N, Fan XJ. Analysis on kidney injury-related clinical risk factors and evaluation on the therapeutic effects of hemoperfusion in children with Henoch-Schonlein purpura. Eur Rev Med Pharmacol Sci. 2017;21(17):3894\u20139.","journal-title":"Eur Rev Med Pharmacol Sci"},{"issue":"1","key":"1120_CR30","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1186\/s12969-023-00872-1","volume":"21","author":"J Marro","year":"2023","unstructured":"Marro J, Williams C, Pain CE, Oni L. A case series on recurrent and persisting IgA vasculitis (Henoch Schonlein purpura) in children. Pediatr Rheumatol. 2023;21(1):85.","journal-title":"Pediatr Rheumatol"},{"issue":"4","key":"1120_CR31","doi-asserted-by":"publisher","first-page":"e245362","DOI":"10.1001\/jamanetworkopen.2024.5362","volume":"7","author":"A Felix","year":"2024","unstructured":"Felix A, Assad Z, Bidet P, Caseris M, Dumaine C, Faye A, et al. Common seasonal pathogens and epidemiology of Henoch-Sch\u00f6nlein Purpura among children. JAMA Netw Open. 2024;7(4):e245362.","journal-title":"JAMA Netw Open"},{"issue":"1","key":"1120_CR32","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1186\/s13052-018-0538-1","volume":"44","author":"F Wang","year":"2018","unstructured":"Wang F, Huang L, Tang H, Li X, Zhu X, Wang X. Significance of glomerular fibrinogen deposition in children with Henoch-Sch\u00f6nlein purpura nephritis. Ital J Pediatr. 2018;44(1):97.","journal-title":"Ital J Pediatr"},{"issue":"1","key":"1120_CR33","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1186\/s12969-016-0080-x","volume":"14","author":"X Wang","year":"2016","unstructured":"Wang X, Zhu Y, Gao L, Wei S, Zhen Y, Ma Q. Henoch-Sch\u00f6nlein purpura with joint involvement: analysis of 71 cases. Pediatr Rheumatol. 2016;14(1):20.","journal-title":"Pediatr Rheumatol"},{"issue":"1","key":"1120_CR34","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1080\/08880010590896251","volume":"22","author":"D Yilmaz","year":"2005","unstructured":"Yilmaz D, Kavakli K, Ozkayin N. The elevated markers of hypercoagulability in children with Henoch-Sch\u00f6nlein purpura. Pediatr Hematol Oncol. 2005;22(1):41\u20138.","journal-title":"Pediatr Hematol Oncol"},{"issue":"3","key":"1120_CR35","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1067\/mpd.2000.103448","volume":"136","author":"BJ Foster","year":"2000","unstructured":"Foster BJ, Bernard C, Drummond KN, Sharma AK. Effective therapy for severe Henoch-Schonlein purpura nephritis with prednisone and azathioprine: a clinical and histopathologic study. J Pediatr. 2000;136(3):370\u20135.","journal-title":"J Pediatr"},{"issue":"8","key":"1120_CR36","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1136\/jim-2021-001984","volume":"69","author":"L Wang","year":"2021","unstructured":"Wang L, Yin C, Zhang M, Mao H, Hao H, Hu X, et al. A randomized controlled trial on the effect of dietary guidance on the treatment of Henoch-Schonlein purpura in children. J Investig Med. 2021;69(8):1464\u201372.","journal-title":"J Investig Med"},{"issue":"8","key":"1120_CR37","doi-asserted-by":"publisher","first-page":"1472","DOI":"10.1097\/CORR.0000000000003018","volume":"482","author":"JHF Oosterhoff","year":"2024","unstructured":"Oosterhoff JHF, de Hond AAH, Peters RM, van Steenbergen LN, Sorel JC, Zijlstra WP, et al. Machine learning did not outperform conventional competing risk modeling to predict revision arthroplasty. Clin Orthop Relat Res. 2024;482(8):1472\u201382.","journal-title":"Clin Orthop Relat Res"},{"key":"1120_CR38","doi-asserted-by":"crossref","unstructured":"Zhao G, Zhang Y, Luo J, Tong Y, Sui W. Prediction models for falls risk among inpatients: A systematic review and Meta-Analysis. J Adv Nurs. 2025.","DOI":"10.1111\/jan.17079"},{"issue":"9","key":"1120_CR39","first-page":"455","volume":"56","author":"HSR Rajula","year":"2020","unstructured":"Rajula HSR, Verlato G, Manchia M, Antonucci N, Fanos V. Comparison of conventional statistical methods with machine learning in medicine: diagnosis, drug development, and treatment. Med (Kaunas). 2020;56(9):455.","journal-title":"Med (Kaunas)"}],"container-title":["Pediatric Rheumatology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12969-025-01120-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12969-025-01120-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12969-025-01120-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T04:29:02Z","timestamp":1757305742000},"score":1,"resource":{"primary":{"URL":"https:\/\/ped-rheum.biomedcentral.com\/articles\/10.1186\/s12969-025-01120-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,28]]},"references-count":39,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1120"],"URL":"https:\/\/doi.org\/10.1186\/s12969-025-01120-4","relation":{},"ISSN":["1546-0096"],"issn-type":[{"value":"1546-0096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,28]]},"assertion":[{"value":"6 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"80"}}