The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Individualised treatment effects of corticosteroids in IgA nephropathy
Open accessAbstract
BACKGROUND: IgA nephropathy (IgAN) has diverse clinical presentations and responses to treatment. For systemic corticosteroids in particular, randomised controlled trials have reported conflicting effects, highlighting the need for individualised treatment strategies. METHODS: In this retrospective cohort study, we derived and validated a causal machine learning (ML) framework to estimate individualised corticosteroid treatment effects in IgAN. Eight international cohorts, including the VALIGA, CureGN, and NURTuRE-CKD repositories, comprising 1022 patients, were analysed (derivation, n = 464; validation, n = 558). We integrated baseline clinical data, histopathological classification scores (MEST-C), and deep learning-based histomorphological biomarkers (pathomics) from digitised kidney biopsies. The framework estimated the effect of systemic corticosteroids on the composite endpoint of a ≥50% decline in estimated glomerular filtration rate or kidney failure within five years of biopsy. FINDINGS: Across the overall study population, systemic corticosteroid therapy was not associated with a significant improvement in the composite outcome (p = 0·27). However, the causal ML framework revealed substantial treatment heterogeneity, identifying patients with high predicted benefit who achieved longer progression-free survival with corticosteroids (0·43 years, 95% CI 0·18-0·73, p < 0·01), while no benefit was observed in those with low predicted benefit (-0·005 years, 95% CI -0·3 to 0·22, p > 0·05). An individualised framework-guided treatment assignment was estimated to reduce systemic corticosteroid use by 60·7%. Pathomics facilitated the identification of interstitial inflammation and tubulitis as key features of corticosteroid response. INTERPRETATION: This study demonstrates that a causal ML framework integrating clinical, histopathological, and pathomics predictors can individualise treatment assignments for systemic corticosteroids in IgAN. This approach provides a blueprint for precision therapy in IgAN, supporting AI-enhanced clinical decision-making in the era of emerging targeted treatments. FUNDING: German Research Foundation; European Research Council; German Federal Ministry of Education and Research; German Innovation Fund of the Federal Joint Committee; Clinician Scientist Program of the Faculty of Medicine RWTH Aachen University.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
XGBoost: A Scalable Tree Boosting System
Chen, T., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939785 · Cited by 54,569
Collins, G. S., Moons, K. G. M., Dhiman, P., Riley, R. D., Beam, A. L., Van Calster, B., Ghassemi, M., Liu, X., Reitsma, J. B., van Smeden, M., et al. (2024) · BMJ · doi:10.1136/bmj-2023-078378 · Cited by 4,718
New creatinine- and cystatin C-based equations to estimate GFR without race
Inker, L. A., Eneanya, N. D., Coresh, J., Tighiouart, H., Wang, D., Sang, Y., Crews, D. C., Doria, A., Estrella, M. M., Froissart, M., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2102953 · Cited by 4,695
Self-citationNew Equations to Estimate GFR in Children with CKD
Schwartz, G. J., Tilde]oz, A. M., Schneider, M. F., MAK, R. H. K., Kaskel, F. J., Warady, B. A., & Furth, S. L. (2009) · Journal of the American Society of Nephrology · doi:10.1681/asn.2008030287 · Cited by 3,782
Self-citationAthey, S. C., Tibshirani, J., & Wager, S. (2019) · The Annals of Statistics · doi:10.1214/18-aos1709 · Cited by 2,108
Lunceford, J. K., & Davidian, M. (2004) · Statistics in Medicine · doi:10.1002/sim.1903 · Cited by 1,676
Updated Guidance on the Reporting of Race and Ethnicity in Medical and Science Journals
Flanagin, A., Frey, T., Christiansen, S. L., & AMA Manual of Style Committee (2021) · JAMA · doi:10.1001/jama.2021.13304 · Cited by 1,615
Metalearners for estimating heterogeneous treatment effects using machine learning
Künzel, S., Sekhon, J., Bickel, P., & Yu, B. (2017) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1804597116 · Cited by 1,458
A Working Group of the International IgA Nephropathy Network and the Renal Pathology Society, Cattran, D. C., Coppo, R., Cook, H. T., Feehally, J., Roberts, I. S. D., Troyanov, S., Alpers, C. E., Amore, A., Barratt, J., et al. (2009) · Kidney International · doi:10.1038/ki.2009.243 · Cited by 1,249
Self-citationTrimarchi, H., Barratt, J., Cattran, D. C., Cook, H. T., Coppo, R., Haas, M., Liu, Z.-H., Roberts, I. S. D., Yuzawa, Y., Zhang, H., et al. (2017) · Kidney International · doi:10.1016/j.kint.2017.02.003 · Cited by 1,206
Self-citationA Working Group of the International IgA Nephropathy Network and the Renal Pathology Society, Roberts, I. S. D., Cook, H. T., Troyanov, S., Alpers, C. E., Amore, A., Barratt, J., Berthoux, F. C., Bonsib, S. M., BRUIJN, J. A., et al. (2009) · Kidney International · doi:10.1038/ki.2009.168 · Cited by 1,046
Self-citationQuasi-oracle estimation of heterogeneous treatment effects
Nie, X., & Wager, S. (2020) · Biometrika · doi:10.1093/biomet/asaa076 · Cited by 754
Intensive supportive care plus immunosuppression in IgA nephropathy
Rauen, T., Eitner, F., Fitzner, C., Sommerer, C., Zeier, M., Otte, B., Panzer, U., Peters, H., Benck, U., Mertens, P. R., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1415463 · Cited by 726
Self-citationCorticosteroids in IgA nephropathy: a randomised controlled trial
Pozzi, C., Bolasco, P., Gb, F., Andrulli, S., Altieri, P., Ponticelli, C. E., & Locatelli, F. (1999) · The Lancet · doi:10.1016/s0140-6736(98)03563-6 · Cited by 526
Self-citationCoppo, R., on behalf of the VALIGA study of the ERA-EDTA Immunonephrology Working Group, Troyanov, S., Bellur, S. S., Cattran, D. C., Cook, H. T., Feehally, J., Roberts, I. S. D., Morando, L., Camilla, R., et al. (2014) · Kidney International · doi:10.1038/ki.2014.63 · Cited by 498
Self-citationLong-Term Outcomes in IgA Nephropathy
Pitcher, D., Braddon, F., Hendry, B. M., Mercer, A., Osmaston, K., Saleem, M. A., Steenkamp, R. D., Wong, K., Turner, N., Wang, K., et al. (2023) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.0000000000000135 · Cited by 483
Self-citationMedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation
Roy, S., Koehler, G., Ulrich, C., Baumgartner, M., Petersen, J., Isensee, F., Jäger, P. F., & Maier-Hein, K. H. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43901-8_39 · Cited by 472
The Predictive Approaches to Treatment effect Heterogeneity (PATH) statement
Kent, D. M., Paulus, J. K., van Klaveren, D., D'Agostino, R., Goodman, S., Hayward, R., Ioannidis, J. P. A., Patrick-Lake, B., Morton, S., Pencina, M., et al. (2020) · Annals of Internal Medicine · doi:10.7326/m18-3667 · Cited by 469
Lv, J., Wong, M. G., Hladunewich, M., Jha, V., Hooi, L. S., Monaghan, H., Zhao, M., Barbour, S. J., Jardine, M., Reich, H. N., et al. (2022) · JAMA · doi:10.1001/jama.2022.5368 · Cited by 389
Self-citationBarratt, J., & Feehally, J. (2005) · Journal of the American Society of Nephrology · doi:10.1681/asn.2005020134 · Cited by 389
Self-citationCausal machine learning for predicting treatment outcomes
Feuerriegel, S., Frauen, D., Melnychuk, V., Schweisthal, J., Heß, K., Curth, A., Bauer, S., Kilbertus, N., Kohane, I. S., & van der Schaar, M. (2024) · Nature Medicine · doi:10.1038/s41591-024-02902-1 · Cited by 353
Naesens, M., Roufosse, C. A., Haas, M., Lefaucheur, C., Mannon, R. B., Adam, B., Aubert, O., Böhmig, G. A., Callemeyn, J., Groningen, M. C. C., et al. (2023) · American Journal of Transplantation · doi:10.1016/j.ajt.2023.10.016 · Cited by 344
Self-citationA Multicenter Study of the Predictive Value of Crescents in IgA Nephropathy
Haas, M., Verhave, J. C., Liu, Z.-H., Alpers, C. E., Barratt, J., Becker, J. U., Cattran, D. C., Cook, H. T., Coppo, R., Feehally, J., et al. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2016040433 · Cited by 309
Self-citationDigital pathology and computational image analysis in nephropathology
Barisoni, L., Lafata, K. J., Hewitt, S. M., Madabhushi, A., & Balis, U. G. J. (2020) · Nature Reviews Nephrology · doi:10.1038/s41581-020-0321-6 · Cited by 264
Self-citationA Phase 2 Trial of Sibeprenlimab in Patients with IgA Nephropathy
Mathur, M., Barratt, J., Chacko, B., Chan, T. M., Kooienga, L., Oh, K.-H., Sahay, M., Suzuki, Y., Wong, M. G., Yarbrough, J., et al. (2024) · New England Journal of Medicine · doi:10.1056/nejmoa2305635 · Cited by 239
Self-citationCorticosteroids in IgA Nephropathy
Tesař, V., Troyanov, S., Bellur, S. S., Verhave, J. C., Cook, H. T., Feehally, J., Roberts, I. S. D., Cattran, D. C., & Coppo, R. (2015) · Journal of the American Society of Nephrology · doi:10.1681/asn.2014070697 · Cited by 217
Self-citationAlternative Complement Pathway Inhibition with Iptacopan in IgA Nephropathy
Perkovic, V., Barratt, J., Rovin, B. H., Kashihara, N., Maes, B., Zhang, H., Trimarchi, H., Kollins, D., Papachristofi, O., Jacinto-Sanders, S., et al. (2024) · New England Journal of Medicine · doi:10.1056/nejmoa2410316 · Cited by 207
Self-citationRovin, B. H., Barratt, J., Cook, H. T., Noronha, I. L., Reich, H. N., Suzuki, Y., Tang, S. C. W., Trimarch, H., & Floege, J. (2025) · Kidney International · doi:10.1016/j.kint.2025.04.004 · Cited by 206
Self-citationNext-Generation Morphometry for pathomics-data mining in histopathology
Hölscher, D. L., Bouteldja, N., Joodaki, M., Russo, M. L., Lan, Y.-C., Sadr, A. V., Cheng, M., Tesař, V., von Stillfried, S. F., Klinkhammer, B. M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36173-0 · Cited by 153
Self-citationMariani, L., Bomback, A. S., Canetta, P. A., Flessner, M. F., Helmuth, M. E., Hladunewich, M., Hogan, J., Kiryluk, K., Nachman, P. H., Nast, C. C., et al. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.07.020 · Cited by 145
Self-citationSAS and R functions to compute pseudo-values for censored data regression
Klein, J. P., Gerster, M., Andersen, P. K., Tarima, S. S., & Perme, M. P. (2008) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2007.11.017 · Cited by 138
Self-citationIs immunoglobulin A nephropathy different in different ethnic populations?
Yeo, S. C., Goh, S. M., & Barratt, J. (2019) · Nephrology · doi:10.1111/nep.13592 · Cited by 105
Self-citationChakera, A., MacEwen, C., Bellur, S. S., Chompuk, L.-O., Lunn, D., & Roberts, I. S. D. (2015) · Journal of Nephrology · doi:10.1007/s40620-015-0227-8 · Cited by 92
Self-citationHogan, M. C., Reich, H. N., Nelson, P. J., Adler, S. G., Cattran, D. C., Appel, G. B., Gipson, D. S., Kretzler, M., Troost, J. P., & Lieske, J. C. (2016) · Kidney International · doi:10.1016/j.kint.2016.06.020 · Cited by 83
Self-citationExtending the landscape of omics technologies by pathomics
Bülow, R. D., Hölscher, D. L., Costa, I. G., & Boor, P. (2023) · npj Systems Biology and Applications · doi:10.1038/s41540-023-00301-9 · Cited by 79
Self-citationBellur, S. S., Roberts, I. S. D., Troyanov, S., Royal, V., Coppo, R., Cook, H. T., Cattran, D. C., Arce, Y., Asunis, A. M., Bajema, I. M., et al. (2018) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfy337 · Cited by 77
Self-citationMeasures of follow-up in time-to-event studies: Why provide them and what should they be?
Betensky, R. A. (2015) · Clinical Trials · doi:10.1177/1740774515586176 · Cited by 62
Taal, M. W., Lucas, B. J., Roderick, P. J., Cockwell, P., Wheeler, D. C., Saleem, M. A., Fraser, S. D., Banks, R. E., Johnson, T. S., Hale, L. J., et al. (2023) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfad110 · Cited by 33
Self-citationZhang, Z., Yang, Y., Jiang, S., & Li, W. (2019) · BMC Nephrology · doi:10.1186/s12882-019-1519-3 · Cited by 26
Performance metrics for models designed to predict treatment effect
Maas, C. C. H. M., Kent, D. M., Hughes, M. C., Dekker, R., Lingsma, H. F., & Klaveren, D. V. (2023) · BMC Medical Research Methodology · doi:10.1186/s12874-023-01974-w · Cited by 22
Severe Adverse Effects Associated With Corticosteroid Treatment in Patients With IgA Nephropathy
Cai, Q., Xie, X., Wang, J., Shi, S., Liu, L., Chen, Y., Lv, J., & Zhang, H. (2017) · Kidney International Reports · doi:10.1016/j.ekir.2017.02.003 · Cited by 21
Self-citationE-values for effect heterogeneity and approximations for causal interaction
Mathur, M. B., Smith, L. H., Yoshida, K., Ding, P., & VanderWeele, T. J. (2022) · International Journal of Epidemiology · doi:10.1093/ije/dyac073 · Cited by 20
Đenić, A., Bogojevic, M., Mullan, A. F., Sabov, M., Asghar, M. S., Sethi, S. M., Smith, M. L., Fervenza, F. C., Glassock, R. J., Hommos, M. S., et al. (2022) · Journal of the American Society of Nephrology · doi:10.1681/asn.2022030234 · Cited by 19
Self-citationRankin, A. J., Kipgen, D., Geddes, C., Fox, J. G., Milne, G., Mackinnon, B., & McQuarrie, E. P. (2018) · Clinical Kidney Journal · doi:10.1093/ckj/sfy093 · Cited by 17
Self-citationBelbahri, M., Murua, A., Gandouet, O., & Nia, V. P. (2021) · The Annals of Applied Statistics · doi:10.1214/21-aoas1465 · Cited by 17
Fan, F., Liu, Q., Zee, J., Ozeki, T., Demeke, D., Yang, Y., Bitzer, M., O'Connor, C. L., Farris, A. B., Wang, B., et al. (2025) · Kidney International · doi:10.1016/j.kint.2025.04.026 · Cited by 16
Self-citationNi, A., Lin, Z., & Lü, B. (2021) · Annals of Epidemiology · doi:10.1016/j.annepidem.2021.09.016 · Cited by 12
Corticosteroid Effects in IgA Nephropathy by Baseline Proteinuria and Estimated GFR
Kim, D., Neuen, B. L., Lv, J., Hladunewich, M., Jha, V., Hooi, L. S., Monaghan, H., Fletcher, R. A., Billot, L., Perkovic, V., et al. (2025) · Kidney International Reports · doi:10.1016/j.ekir.2025.03.008 · Cited by 9
Self-citationRivedal, M., Haaskjold, Y. L., Eikrem, Ø., Bjørneklett, R. O., Marti, H., & Knoop, T. (2024) · BMC Nephrology · doi:10.1186/s12882-024-03481-6 · Cited by 8
tRigon: an R package and Shiny App for integrative (path-)omics data analysis
Hölscher, D. L., Goedertier, M., Klinkhammer, B. M., Droste, P., Costa, I. G., Boor, P., & Bülow, R. D. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05721-w · Cited by 7
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Liu, 2022, Estimation of 24-h urine protein excretion using urine albumin-to-creatinine ratio from an in-hospital population, Med Sci Monit, 28
- Zhang, 2016, Multiple imputation with multivariate imputation by chained equation (MICE) package, Ann Transl Med, 4, 30
Cited by
Sorted by citations
Eikrem, Ø., & Knoop, T. (2026) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000001121 · Cited by 1
Corticosteroids, serum proteins, and the next phase of precision medicine in IgA nephropathy
Zoccali, C., & Floege, J. (2026) · Clinical Kidney Journal · doi:10.1093/ckj/sfag345
Self-citation
Metadata
- Authors
- Hölscher, D. L., Schmitz, N. E. J., Niggemeier, L., Pilva, P., Strauch, M., Tesar, V., Barratt, J., Roberts, I. S. D., Coppo, R., Barisoni, L., Yanagita, M., Alabalik, U., Rule, A. D., Jagtap, J. M., Abreu, E. S., Seikrit, C., von Stillfried, S., Taal, M. W., Kalra, P. A., Floege, J., Kramann, R., Boor, P., Bülow, R. D., Russo, M. L., Troyanov, S., Cook, H. T., Roberts, I. S. D., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Diomedi, F., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J. F. M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A. C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Papasotiriou, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M. E. J., Boria Grinyo, J. M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A. M., Gutiérrez, E., Asunis, A. M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H. J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Bavbek, N., Alpers, C., Berthoux, F., Bonsib, S., D’Agati, V., D’Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, M., Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa, N., Zeng, C. H., Shi, S., Nogi, C., Suzuki, H., Koike, K., Hirano, K., Kawamura, T., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., Trimarchi, H., Appel, G., Babayev, R., Batal, I., Bomback, A., Canetta, P., Chan, B., D'Agati, V. D., Dogra, S., Fernandez, H., Gaggero, G., Gharavi, A., Hines, W., Kiryluk, K., Kudose, S., Lin, F., Kolupaeva, V., Marasa, M., Markowitz, G., Navarro-Torres, M., Rasouly, H. M., Mohan, S., Mongera, N., Nestor, J., Radhakrishnan, J., Rao, M., Sabatello, M., Sanna-Cherchi, S., Santoriello, D., Sekulic, M., Stokes, M. B., Uy, N., Vena, N., Wooden, B., Foroncewicz, B., Wiewiórska-Krata, N., Moszczuk, B., Mucha, K., Perkowska-Ptasińska, A., Ryszkowska, E., Lugani, F., Vellone, V., Aviles, D., Srivastava, T., Katz, A., Ahn, S.-Y., Devarajan, P., Erkan, E., Stone, H., Mason, S., Gomez-Mendez, L., Greenbaum, L., Wang, C.-S., Yin, H. (., Goebel, J., Weaver, D., Krissberg, J., Lane, J., Pan, C., Cody, E., Martinek-Bundt, S., Carmean, D., Dreher, M., Kallash, M., Mahan, J., Sharpe, S., Smoyer, W., Biederman, L., Al-Uzri, A., Iragorri, S., Khalid, M., Belsha, C., Onugha, E., Braun, M., Gomez, A. C., Vasylyeva, T., Feig, D., Hannah, M., Chishti, A., Klein, J., Katsoufis, C., Seeherunvong, W., Rheault, M., Wong, C., Abid, Q., Barcia, J., Swiatecka-Urban, A., Bartosh, S., Stotter, B., Gaut, J., Laurin, L.-P., Royal, V., Latour, M., Patey, N. (., Achanti, A., Budisavljevic, M., Pasham, V., Ghossein, C., Peleg, Y., Almaani, S., Ayoub, I., Parikh, S., Rovin, B., Satoskar, A., Chang, A., Fatima, H., Novak, J., Renfrow, M., Rizk, D., Chen, D., Derebail, V., Falk, R., Gibson, K., Glenn, D., Hogan, S., Jain, K., Jennette, J. C., Moreno, V., Mottl, A., Poulton, C., Reynolds, M., Saha, M. K., Wyatt, N. E., Fogo, A., Sanghani, N., Kidd, J., Muthusamy, S., Scobell, R., Denburg, M., Kogon, A., Meyers, K., Pradhan, M., Matar, R. B., O'Toole, J., Sedor, J., Sethna, C., Vento, S., Atta, M., Bagnasco, S., Neu, A., Sperati, J., Adler, S., Dai, T., Dukkipati, R., Kaskel, F., Brathwaite, K., Reidy, K., Malaga-Dieguez, L., Tuttle, K., Lafayette, R., Fahmeedah, K., Talley, E., Hladunewich, M., Parekh, R., Avila-Casado, C., Cattran, D., Reich, H., Kutky, M., Drexler, Y., Fornoni, A., Hodgin, J., Oliverio, A., Hogan, J., Holzman, L., Palmer, M., Coppock, G., Mortiz, M., Kumar, J., Alpers, C., Jefferson, J. A., Sambandam, K., Roehm, B., Nast, C., Hou, J., Barisoni, L., Gadegbeku, C., Smith, A., Gillespie, B., Robinson, B., Kretzler, M., Modi, Z., Mariani, L., Guay-Woodford, L. M., Taal, M. W., Cockwell, P., Fraser, S. D. S., Kalra, P. A., Saleem, M., Wheeler, D. C., Coppo, R., Barbour, S., Barratt, J., Roberts, I. S. D., Floege, J., Tesar, V., Bülow, R. D., Hölscher, D. L., Zhang, H., Wong, M. G., Barisoni, L., Haas, M., Yanagita, M., Kaneko, K., Koshida, T., & Lundberg, S.
- Affiliations
- Universitätsklinikum Aachen (DE)
- Mayo Clinic (US)
- Charles University (CZ)
- National Health Service (GB)
- Corresponding author
- Boor, Peter
- ORCID
- Schmitz, Nikolas E.J.
- Niggemeier, Leon
- Pilva, Pourya
- Alabalik, Ulas
- Rule, Andrew D.
- Jagtap, Jaidip M.
- Seikrit, Claudia
- von Stillfried, Saskia
- Kramann, Rafael
- Boor, Peter
- Troyanov, S.
- Lundberg, S.
- Pani, A.
- Serriello, I.
- Locatelli, F.
- Magistroni, R.
- Balafa, O.
- Egido, J.
- van Kooten, C.
- Rabelink, T.
- Migotto, C.
- Kipgen, D.
- Gakiopoulou, H.
- Bertoni, E.
- Karkoszka, H.
- Berthoux, F.
- Fervenza, F.
- Florquin, S.
- Hogg, R.
- Julian, B.
- Walker, P.
- Yokoo, T.
- Trimarchi, H.
- Batal, Ibrahim
- Bomback, Andrew
- Canetta, Pietro
- Gharavi, Ali
- Kiryluk, Krzysztof
- Kudose, Satoru
- Lin, Fangming
- Kolupaeva, Victoria
- Navarro-Torres, Mariela
- Rasouly, Hila Milo
- Mongera, Nicola
- Radhakrishnan, Jai
- Santoriello, Dominick
- Sekulic, Miroslav
- Wooden, Benjamin
- Foroncewicz, Bartosz
- Moszczuk, Barbara
- Mucha, Krzysztof
- Lugani, Francesca
- Srivastava, Tarak
- Devarajan, Prasad
- Erkan, Elif
- Mason, Sherene
- Greenbaum, Larry
- Goebel, Jens
- Weaver, Donald
- Krissberg, Jill
- Lane, Jerome
- Kallash, Mahmoud
- Biederman, Laura
- Al-Uzri, Amira
- Khalid, Myda
- Braun, Michael
- Chishti, Aftab
- Katsoufis, Chryso
- Seeherunvong, Wacharee
- Rheault, Michelle
- Bartosh, Sharon
- Laurin, Louis-Philippe
- Royal, Virginie
- Achanti, Anand
- Budisavljevic, Milos
- Ghossein, Cybele
- Peleg, Yonatan
- Almaani, Salem
- Rovin, Brad
- Chang, Anthony
- Renfrow, Matthew
- Jain, Koyal
- Fogo, Agnes
- Muthusamy, Selvaraj
- Scobell, Rebecca
- Denburg, Michelle
- Kogon, Amy
- Bagnasco, Serena
- Dai, Tiane
- Brathwaite, Kaye
- Reidy, Kimberly
- Lafayette, Richard
- Parekh, Rulan
- Reich, Heather
- Drexler, Yelena
- Fornoni, Alessia
- Hodgin, Jeffrey
- Oliverio, Andrea
- Alpers, Charles
- Jefferson, J. Ashley
- Roehm, Bethany
- Nast, Cynthia
- Robinson, Bruce
- Kretzler, Matthias
- Mariani, Laura
- Cockwell, Paul
- Wheeler, David C.
- Barbour, Sean
- Wong, Muh Geot
- Venue
- eBioMedicine
- Publisher
- Elsevier BV
- Published
- 2026-08
- Volume
- 130
- Pages
- 106396
- ISSN
- 2352-3964 (ISSN-L)
- PMC
- PMC13377490
- OpenAlex
- W7168248708
- Cited by
- 2
- References
- 50
- Citations by year
- 2026: 2
- FWCI
- 8.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- EBioMedicine (publishedVersion, cc-by)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repository@Nottingham (University of Nottingham) (acceptedVersion, other-oa)
- UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion, cc-by)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- Radboud Repository (Radboud University) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion, other-oa)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
- RWTH Publications (RWTH Aachen)
- Funders
- Bundesministerium für Forschung Technologie und Raumfahrt Informationstechnikzentrum Bund
- German Research Foundation
- RWTH Aachen University Faculty of Medicine
- European Research Council
- Topics
- Health Sciences › Medicine › Nephrology › Renal Diseases and Glomerulopathies
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Transplantation › Renal Transplantation Outcomes and Treatments
- Keywords
- IgA nephropathy, systemic corticosteroids, personalized treatment, causal machine learning, treatment effect heterogeneity, pathomics, renal biopsy histology, interstitial inflammation, tubulitis, glomerular filtration rate decline, renal failure, precision therapy, treatment response prediction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review