{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T20:57:01Z","timestamp":1771966621769,"version":"3.50.1"},"reference-count":39,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012401","name":"Beijing Science and Technology Planning Project","doi-asserted-by":"publisher","award":["Z221100007422121"],"award-info":[{"award-number":["Z221100007422121"]}],"id":[{"id":"10.13039\/501100012401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["L222133"],"award-info":[{"award-number":["L222133"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["7252018"],"award-info":[{"award-number":["7252018"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["L232122"],"award-info":[{"award-number":["L232122"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinica Chimica Acta"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1016\/j.cca.2026.120882","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T16:27:22Z","timestamp":1770049642000},"page":"120882","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Development of machine learning-driven non-invasive diagnostic models for idiopathic membranous nephropathy in Chinese patients"],"prefix":"10.1016","volume":"584","author":[{"given":"Qian","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shibin","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiguang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Hong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuwei","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guichun","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaona","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengliang","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinlong","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangyan","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangmei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheyi","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.cca.2026.120882_bb0005","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1016\/j.kint.2018.04.011","article-title":"Analysis of the global burden of disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016","volume":"94","author":"Xie","year":"2018","journal-title":"Kidney Int."},{"issue":"12","key":"10.1016\/j.cca.2026.120882_bb0010","doi-asserted-by":"crossref","first-page":"2173","DOI":"10.1093\/ndt\/gfy022","article-title":"Primary glomerular nephropathy among hospitalized patients in a national database in China","volume":"33","author":"Li","year":"2018","journal-title":"Nephrology, Dialysis,Ttransplantation\u202f: Offi. Publi. Euro. Dialysis Transplant Associat. - European Renal Association"},{"issue":"1","key":"10.1016\/j.cca.2026.120882_bb0015","doi-asserted-by":"crossref","first-page":"10","DOI":"10.3390\/molecules24010010","article-title":"Changes in the Spectrum of kidney diseases: an analysis of 40,759 biopsy-proven cases from 2003 to 2014 in China","volume":"4","author":"Hou","year":"2018","journal-title":"Kidney Dis. (Basel, Switzerland)"},{"issue":"8","key":"10.1016\/j.cca.2026.120882_bb0020","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1111\/nep.12542","article-title":"Increasing frequency of idiopathic membranous nephropathy in primary glomerular disease: a 10-year renal biopsy study from a single Chinese nephrology Centre","volume":"20","author":"Zhu","year":"2015","journal-title":"Nephrology (Carlton)"},{"issue":"3","key":"10.1016\/j.cca.2026.120882_bb0025","doi-asserted-by":"crossref","first-page":"609","DOI":"10.2215\/CJN.04160413","article-title":"Glomerular diseases: membranous nephropathy--a modern view","volume":"9","author":"Ponticelli","year":"2014","journal-title":"Clin. J. Am. Soc. Nephrology\u202f: CJASN"},{"issue":"4","key":"10.1016\/j.cca.2026.120882_bb0030","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1681\/ASN.2009080861","article-title":"Spontaneous remission of nephrotic syndrome in idiopathic membranous nephropathy","volume":"21","author":"Polanco","year":"2010","journal-title":"J. Am. Soc. Nephrology\u202f: JASN"},{"issue":"6","key":"10.1016\/j.cca.2026.120882_bb0035","doi-asserted-by":"crossref","first-page":"983","DOI":"10.2215\/CJN.11761116","article-title":"Primary membranous nephropathy","volume":"12","author":"Couser","year":"2017","journal-title":"Clin. J. Am. Soc. Nephrology\u202f: CJASN"},{"issue":"5","key":"10.1016\/j.cca.2026.120882_bb0040","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1517\/13543784.6.5.521","article-title":"Recent developments in the management of membranous nephropathy","volume":"6","author":"Schieppati","year":"1997","journal-title":"Expert Opin. Investig. Drugs"},{"issue":"4s","key":"10.1016\/j.cca.2026.120882_bb0045","first-page":"S1","article-title":"2021 clinical practice guideline for the Management of Glomerular Diseases","volume":"100","author":"KDIGO","year":"2021","journal-title":"Kidney Int."},{"issue":"1","key":"10.1016\/j.cca.2026.120882_bb0050","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1056\/NEJMoa0810457","article-title":"M-type phospholipase A2 receptor as target antigen in idiopathic membranous nephropathy","volume":"361","author":"Beck","year":"2009","journal-title":"N. Engl. J. Med."},{"issue":"2","key":"10.1016\/j.cca.2026.120882_bb0055","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.kint.2018.10.021","article-title":"AS DV, AS P, L Z, S S, C G, JC L, FC F: noninvasive diagnosis of primary membranous nephropathy using phospholipase A2 receptor antibodies","volume":"95","author":"SA B","year":"2019","journal-title":"Kidney Int."},{"key":"10.1016\/j.cca.2026.120882_bb0060","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.cca.2019.11.004","article-title":"Diagnostic efficacy of serum anti-phospholipase A2 receptor antibodies for idiopathic membranous nephropathy in patients with diabetic kidney disease","volume":"502","author":"Wang","year":"2020","journal-title":"Clin. Chimica Acta; Int. J. Clin. Chem."},{"issue":"3","key":"10.1016\/j.cca.2026.120882_bb0065","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1053\/j.ajkd.2019.02.016","article-title":"Prediction and risk stratification of kidney outcomes in IgA nephropathy","volume":"74","author":"Chen","year":"2019","journal-title":"Am. J. Kid. Dis.\u202f:Offi. J. Nat. Kid. Found."},{"issue":"5","key":"10.1016\/j.cca.2026.120882_bb0070","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1111\/cts.12647","article-title":"Prediction of nephropathy in type 2 diabetes: an analysis of the ACCORD trial applying machine learning techniques","volume":"12","author":"Rodriguez-Romero","year":"2019","journal-title":"Clin. Transl. Sci."},{"issue":"1","key":"10.1016\/j.cca.2026.120882_bb0075","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1186\/s12967-019-1860-0","article-title":"Comparison and development of machine learning tools in the prediction of chronic kidney disease progression","volume":"17","author":"Xiao","year":"2019","journal-title":"J. Transl. Med."},{"issue":"11","key":"10.1016\/j.cca.2026.120882_bb0080","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1038\/s41581-019-0203-y","article-title":"Artificial intelligence to predict AKI: is it a breakthrough?","volume":"15","author":"Kellum","year":"2019","journal-title":"Nat. Rev. Nephrol."},{"issue":"7","key":"10.1016\/j.cca.2026.120882_bb0085","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1097\/CCM.0000000000003123","article-title":"The development of a machine learning inpatient acute kidney injury prediction model","volume":"46","author":"Koyner","year":"2018","journal-title":"Crit. Care Med."},{"issue":"2","key":"10.1016\/j.cca.2026.120882_bb0090","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0087357","article-title":"Mutual information between discrete and continuous data sets","volume":"9","author":"Ross","year":"2014","journal-title":"PLoS One"},{"issue":"2","key":"10.1016\/j.cca.2026.120882_bb0095","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1093\/bib\/bbz021","article-title":"MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy","volume":"21","author":"Su","year":"2020","journal-title":"Brief. Bioinform."},{"issue":"3","key":"10.1016\/j.cca.2026.120882_bb0100","doi-asserted-by":"crossref","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM: a library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"10.1016\/j.cca.2026.120882_bb0105","series-title":"32nd Conference on Neural Information Processing Systems, NeurIPS 2018, December 2, 2018 - December 8, 2018: 2018; Montreal","first-page":"6638","article-title":"Catboost: Unbiased boosting with categorical features","author":"Prokhorenkova","year":"2018"},{"key":"10.1016\/j.cca.2026.120882_bb0110","series-title":"XGBoost: A scalable tree boosting system. In: 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2016, August 13, 2016 - August 17, 2016: 2016; San Francisco, CA, United states: Association for Computing Machinery","first-page":"785","author":"Chen","year":"2016"},{"issue":"7553","key":"10.1016\/j.cca.2026.120882_bb0115","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"10.1016\/j.cca.2026.120882_bb0120","series-title":"Performance Analysis of Naive Bayes and J48 Classification Algorithm for Data Classification","author":"Patil","year":"2013"},{"issue":"9","key":"10.1016\/j.cca.2026.120882_bb0125","doi-asserted-by":"crossref","first-page":"604","DOI":"10.7326\/0003-4819-150-9-200905050-00006","article-title":"A new equation to estimate glomerular filtration rate","volume":"150","author":"Levey","year":"2009","journal-title":"Ann. Intern. Med."},{"issue":"12","key":"10.1016\/j.cca.2026.120882_bb0130","doi-asserted-by":"crossref","first-page":"3739","DOI":"10.1681\/ASN.2016010093","article-title":"Long-term exposure to air pollution and increased risk of membranous nephropathy in China","volume":"27","author":"Xu","year":"2016","journal-title":"J. Am. Soc. Nephrology\u202f: JASN"},{"key":"10.1016\/j.cca.2026.120882_bb0135","series-title":"Gulin a: CatBoost: Unbiased boosting with categorical features. In: 32nd Conference on Neural Information Processing Systems (NIPS): Dec 02\u201308 2018; Montreal, CANADA","author":"Prokhorenkova","year":"2018"},{"key":"10.1016\/j.cca.2026.120882_bb0140","series-title":"An Improved CatBoost Algorithm for Red Fox Optimization in the Field of Anomaly Detection. 2022 2nd International Conference on Computer Science and Blockchain (CCSB)","first-page":"148","author":"Chen","year":"2022"},{"issue":"6","key":"10.1016\/j.cca.2026.120882_bb0145","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1016\/j.kint.2019.07.014","article-title":"The anti-PLA2R antibody in membranous nephropathy: what we know and what remains a decade after its discovery","volume":"96","author":"van de Logt","year":"2019","journal-title":"Kidney Int."},{"issue":"1","key":"10.1016\/j.cca.2026.120882_bb0150","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1681\/ASN.2019050538","article-title":"Detection of pla2r autoantibodies before the diagnosis of membranous nephropathy","volume":"31","author":"Burbelo","year":"2020","journal-title":"J. Am. Soc. Nephrology\u202f: JASN"},{"issue":"5","key":"10.1016\/j.cca.2026.120882_bb0155","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1016\/j.ekir.2020.02.1030","article-title":"Serum albumin at partial remission predicts outcomes in membranous nephropathy","volume":"5","author":"Lee","year":"2020","journal-title":"Kidney Int. Rep."},{"issue":"2","key":"10.1016\/j.cca.2026.120882_bb0160","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.autrev.2013.09.005","article-title":"Differential diagnosis of membranous nephropathy with autoantibodies to phospholipase A2 receptor 1","volume":"13","author":"Schlumberger","year":"2014","journal-title":"Autoimmun. Rev."},{"issue":"3","key":"10.1016\/j.cca.2026.120882_bb0165","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1053\/j.ajkd.2020.10.009","article-title":"Membranous nephropathy: Core curriculum 2021","volume":"77","author":"Alsharhan","year":"2021","journal-title":"Am. J. Kid. Dis.\u202f:Offi. J. Nat. Kid. Found."},{"issue":"1","key":"10.1016\/j.cca.2026.120882_bb0170","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1053\/j.ajkd.2016.01.030","article-title":"Membranous nephropathy: a journey from bench to bedside","volume":"68","author":"Francis","year":"2016","journal-title":"Am. J. Kidney Dis\u202f:Offi. J. Nat. Kidney Found."},{"issue":"9981","key":"10.1016\/j.cca.2026.120882_bb0175","doi-asserted-by":"crossref","first-page":"1983","DOI":"10.1016\/S0140-6736(15)60731-0","article-title":"Pathophysiological advances in membranous nephropathy: time for a shift in patient\u2019s care","volume":"385","author":"Ronco","year":"2015","journal-title":"Lancet"},{"issue":"6","key":"10.1016\/j.cca.2026.120882_bb0180","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0100835","article-title":"Smoking is a risk factor for the progression of idiopathic membranous nephropathy","volume":"9","author":"Yamaguchi","year":"2014","journal-title":"PLoS One"},{"issue":"3","key":"10.1016\/j.cca.2026.120882_bb0185","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1016\/j.kint.2016.09.048","article-title":"Membranous nephropathy: integrating basic science into improved clinical management","volume":"91","author":"Cattran","year":"2017","journal-title":"Kidney Int."},{"issue":"3","key":"10.1016\/j.cca.2026.120882_bb0190","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.pathol.2016.02.001","article-title":"Validation of a phospholipase A2 receptor antibody ELISA in an Australian cohort with membranous glomerulonephritis","volume":"48","author":"Ong","year":"2016","journal-title":"Pathology"},{"issue":"6","key":"10.1016\/j.cca.2026.120882_bb0195","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1007\/s11255-016-1263-6","article-title":"The accuracy of the anti-phospholipase A2 receptor antibody in the diagnosis of idiopathic membranous nephropathy: a comparison of different cutoff values as measured by the ELISA method","volume":"48","author":"Dou","year":"2016","journal-title":"Int. Urol. Nephrol."}],"container-title":["Clinica Chimica Acta"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009898126000641?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009898126000641?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T19:57:55Z","timestamp":1771963075000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0009898126000641"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":39,"alternative-id":["S0009898126000641"],"URL":"https:\/\/doi.org\/10.1016\/j.cca.2026.120882","relation":{},"ISSN":["0009-8981"],"issn-type":[{"value":"0009-8981","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Development of machine learning-driven non-invasive diagnostic models for idiopathic membranous nephropathy in Chinese patients","name":"articletitle","label":"Article Title"},{"value":"Clinica Chimica Acta","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cca.2026.120882","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"120882"}}