The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Circulating TNF Receptors 1 and 2 Predict ESRD in Type 2 Diabetes
Open accessAbstract
Levels of proinflammatory cytokines associate with risk for developing type 2 diabetes but whether chronic inflammation contributes to the development of diabetic complications, such as ESRD, is unknown. In the 1990s, we recruited 410 patients with type 2 diabetes for studies of diabetic nephropathy and recorded their characteristics at enrollment. During 12 years of follow-up, 59 patients developed ESRD (17 per 1000 patient-years) and 84 patients died without ESRD (24 per 1000 patient-years). Plasma markers of systemic inflammation, endothelial dysfunction, and the TNF pathway were measured in the study entry samples. Of the examined markers, only TNF receptors 1 and 2 (TNFR1 and TNFR2) associated with risk for ESRD. These two markers were highly correlated, but ESRD associated more strongly with TNFR1. The cumulative incidence of ESRD for patients in the highest TNFR1 quartile was 54% after 12 years but only 3% for the other quartiles (P<0.001). In Cox proportional hazard analyses, TNFR1 predicted risk for ESRD even after adjustment for clinical covariates such as urinary albumin excretion. Plasma concentration of TNFR1 outperformed all tested clinical variables with regard to predicting ESRD. Concentrations of TNFRs moderately associated with death unrelated to ESRD. In conclusion, elevated concentrations of circulating TNFRs in patients with type 2 diabetes at baseline are very strong predictors of the subsequent progression to ESRD in subjects with and without proteinuria.
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
Levey, A. S., Coresh, J., Bolton, K., Culleton, B. F., Harvey, K. S., Ikizler, T. A., Johnson, C. A., Kausz, A., Kimmel, P. L., Kusek, J. W., et al. (2002) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 11,633
Levey, A. S., Coresh, J., Greene, T., Stevens, L. A., Zhang, Y. (., Hendriksen, S., Kusek, J. W., & Van Lente, F. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-4-200608150-00004 · Cited by 5,725
C-Reactive Protein, Interleukin 6, and Risk of Developing Type 2 Diabetes Mellitus
Pradhan, A. D. (2001) · JAMA · doi:10.1001/jama.286.3.327 · Cited by 4,433
Type 2 diabetes as an inflammatory disease
Donath, M. Y., & Shoelson, S. E. (2011) · Nature Reviews Immunology · doi:10.1038/nri2925 · Cited by 3,737
Evaluating the Yield of Medical Tests
Harrell, F. E. (1982) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1982.03320430047030 · Cited by 3,490
Gooley, T. A., Leisenring, W., Crowley, J., & Storer, B. E. (1999) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19990330)18:6<695::aid-sim60>3.0.co;2-o · Cited by 2,688
Levey, A. S., Coresh, J., Greene, T., Marsh, J., Stevens, L. A., Kusek, J. W., Van Lente, F., & for Chronic Kidney Disease Epidemiology Collaboration (2007) · Clinical Chemistry · doi:10.1373/clinchem.2006.077180 · Cited by 1,855
Inflammatory Cytokines and the Risk to Develop Type 2 Diabetes
Spranger, J., Kroke, A., Möhlig, M., Hoffmann, K., Bergmann, M. M., Ristow, M., Boeing, H., & Pfeiffer, A. F. H. (2003) · Diabetes · doi:10.2337/diabetes.52.3.812 · Cited by 1,493
Goodpasture syndrome during the course of a Schönlein-Henoch purpura
Carreras, L., Poveda, R., Bas, J., Mestre, M., Rama, I., & Carrera, M. (2002) · American Journal of Kidney Diseases · doi:10.1053/ajkd.2002.32799 · Cited by 1,474
Tumor Necrosis Factor α: A Key Component of the Obesity-Diabetes Link
Hotamisligil, G. S., & Spiegelman, B. M. (1994) · Diabetes · doi:10.2337/diab.43.11.1271 · Cited by 1,281
Cited by
Molecular mechanisms of diabetic kidney disease
Reidy, K., Kang, H. M., Hostetter, T., & Susztak, K. (2014) · Journal of Clinical Investigation · doi:10.1172/jci72271 · Cited by 909
Diabetic nephropathy – complications and treatment
Lim, A. (2014) · International Journal of Nephrology and Renovascular Disease · doi:10.2147/ijnrd.s40172 · Cited by 583
Pathogenesis and Treatment of Chronic Kidney Disease: A Review of Our Recent Basic and Clinical Data
Tomino, Y. (2014) · Kidney and Blood Pressure Research · doi:10.1159/000368458 · Cited by 566
Heerspink, H. J. L., Perco, P., Mulder, S., Leierer, J., Hansen, M. K., Heinzel, A., & Mayer, G. (2019) · Diabetologia · doi:10.1007/s00125-019-4859-4 · Cited by 457
Niewczas, M. A., Pavkov, M. E., Skupien, J., Smiles, A., Md Dom, Z. I., Wilson, J. M., Park, J., Nair, V., Schlafly, A., Saulnier, P.-J., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0415-5 · Cited by 432
Self-citation
Metadata
- Authors
- Niewczas, M. A., Gohda, T., Skupien, J., Smiles, A. M., Walker, W. H., Rosetti, F., Cullere, X., Eckfeldt, J. H., Doria, A., Mayadas, T. N., Warram, J. H., & Krolewski, A. S.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2012-03
- Volume
- 23
- Issue
- 3
- Pages
- 507-515
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2115034481
- Cited by
- 485
- References
- 34
- FWCI
- 26.41
- Type
- journal article
- Language
- en
- Open access
- green
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: Circulating TNF Receptors 1 and 2 Predict ESRD in Type 2 Diabetes. https://app.cochat.ai/papers/10.1681/asn.2011060627
- The paper
- Niewczas, M. A., Gohda, T., Skupien, J., Smiles, A. M., Walker, W. H., Rosetti, F., Cullere, X., Eckfeldt, J. H., Doria, A., Mayadas, T. N., Warram, J. H., & Krolewski, A. S. (2012). Circulating TNF Receptors 1 and 2 Predict ESRD in Type 2 Diabetes. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2011060627
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.
