The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Predicting renal outcome in IgA nephropathy.
Abstract
Immunoglobulin A (IgA) nephropathy, the most common form of glomerulonephritis worldwide, is characterized by a heterogeneous clinical course. In this study, multivariate analysis was performed to identify histopathologic and clinical features that most accurately predict adverse outcome from a dataset of 148 individuals with IgA nephropathy who underwent renal biopsy at our institution between 1973 and 1995. A semiquantitative scoring system was developed for assessment of six glomerular, eight interstitial, and six vascular histopathologic features of IgA nephropathy. Glomerular and interstitial proliferative activity was evaluated by immunostaining archival biopsy specimens with Mib-1, an antibody directed against the Ki-67 antigen. Kaplan-Meier survival analysis was performed, with renal failure being defined as onset of dialysis or transplantation. A number of clinicopathologic factors were univariately associated with adverse outcome, including elevated serum creatinine levels; the presence of hypertension; proteinuria; component and total histopathologic scores; and positive glomerular or interstitial Mib-1 scores. The total glomerular score, consisting of the arithmetic sum of each of the six component scores, was the strongest histopathologic predictor of adverse outcome. Total interstitial and vascular scores also provided more prognostic information than did individual component scores. By multivariate analysis, high total glomerular scores, increased serum creatinine levels at diagnosis, and younger age were significant (P < 0.01) independent predictors of renal failure. Our studies provide a rational basis for the inclusion of composite histopathologic scores in clinical intervention studies of patients with IgA nephropathy and other glomerular disorders.
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
Gerdes, J., Lemke, H., Baisch, H., Wacker, H. H., Schwab, U., & Stein, H. (1984) · The Journal of Immunology · doi:10.4049/jimmunol.133.4.1710 · Cited by 4,173
Polymorphisms in Angiotensin-Converting-Enzyme Gene and Progression of Iga Nephropathy
Harden, P. N., Rowe, P. A., Rodger, R. S. C., Junor, B. J. R., Briggs, J. D., Jardine, A. G., Geddes, C., Boulton-Jones, M., Mcllroy, J. H., Connell, J. M. C., et al. (1995) · The Lancet · doi:10.1016/s0140-6736(95)91088-3 · Cited by 215
Cited by
Wyatt, R. J., & Julian, B. A. (2013) · New England Journal of Medicine · doi:10.1056/nejmra1206793 · Cited by 1,222
The elephant in uremia: Oxidant stress as a unifying concept of cardiovascular disease in uremia
Himmelfarb, J., Stenvinkel, P., Ikizler, T. A., & Hakim, R. M. (2002) · Kidney International · doi:10.1046/j.1523-1755.2002.00600.x · Cited by 1,179
Natural history of idiopathic IgA nephropathy: Role of clinical and histological prognostic factors
D’Amico, G. (2000) · American Journal of Kidney Diseases · doi:10.1053/ajkd.2000.8966 · Cited by 499
Predicting the Risk for Dialysis or Death in IgA Nephropathy
Berthoux, F., Mohey, H., Laurent, B., Mariat, C., Afiani, A., & Thibaudin, L. (2011) · Journal of the American Society of Nephrology · doi:10.1681/asn.2010040355 · Cited by 361
Metadata
- Authors
- Radford, M. G., Donadio, J. V., Bergstralh, E. J., & Grande, J. P.
- Venue
- Journal of the American Society of Nephrology
- Published
- 1997-02
- Volume
- 8
- Issue
- 2
- Pages
- 199-207
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2171095755
- Cited by
- 440
- References
- 2
- FWCI
- 9.02
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Predicting renal outcome in IgA nephropathy. https://app.cochat.ai/papers/10.1681/asn.v82199
- The paper
- Radford, M. G., Donadio, J. V., Bergstralh, E. J., & Grande, J. P. (1997). Predicting renal outcome in IgA nephropathy. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.v82199
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.