The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
C-reactive protein predicts all-cause and cardiovascular mortality in hemodialysis patients
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
Inflammation, aspirin, and the risk of cardiovascular disease in apparently healthy men
Ridker, P. M., Cushman, M., Stampfer, M. J., Tracy, R. P., & Hennekens, C. H. (1997) · New England Journal of Medicine · doi:10.1056/nejm199704033361401 · Cited by 5,504
Tsujinaka, T., Fujita, J., Ebisui, C., Yano, M., Kominami, E., Suzuki, K., Tanaka, K., Katsume, A., Ohsugi, Y., Shiozaki, H., et al. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118398 · Cited by 421
Cited by
Sarnak, M. J., Levey, A. S., Schoolwerth, A. C., Coresh, J., Culleton, B., Hamm, L. L., McCullough, P. A., Kasiske, B. L., Kelepouris, E., Klag, M. J., et al. (2003) · Circulation · doi:10.1161/01.cir.0000095676.90936.80 · Cited by 3,768
Sarnak, M. J., Levey, A. S., Schoolwerth, A. C., Coresh, J., Culleton, B., Hamm, L. L., McCullough, P. A., Kasiske, B. L., Kelepouris, E., Klag, M. J., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000102971.85504.7c · Cited by 1,144
Interleukin-6 Signaling and Anti-Interleukin-6 Therapeutics in Cardiovascular Disease
Ridker, P. M., & Rane, M. (2021) · Circulation Research · doi:10.1161/circresaha.121.319077 · Cited by 691
Raj Krishnamurthy, V. M., Wei, G., Baird, B. C., Murtaugh, M., Chonchol, M. B., Raphael, K. L., Greene, T., & Beddhu, S. (2012) · Kidney International · doi:10.1038/ki.2011.355 · Cited by 409
Turkmen, K., Erdur, F. M., Ozcicek, F., Ozcicek, A., Akbas, E. M., Ozbicer, A., Demirtas, L., Turk, S., & Tonbul, H. Z. (2013) · Hemodialysis International · doi:10.1111/hdi.12040 · Cited by 309
Anticytokine Agents: Targeting Interleukin Signaling Pathways for the Treatment of Atherothrombosis
Ridker, P. M. (2019) · Circulation Research · doi:10.1161/circresaha.118.313129 · Cited by 260
“By contrast, IL-6 and hsCRP levels strongly predict mortality in predialysis patients and those with moderate-tosevere forms of chronic kidney disease.(93,94) Thus, extension of these IL signaling data into the setting of severe renal failure is a promising direction.”
BackgroundSasu, B. J., Cooke, K. S., Arvedson, T. L., Plewa, C., Ellison, A. R., Sheng, J., Winters, A., Juan, T., Li, H., Begley, C. G., et al. (2010) · Blood · doi:10.1182/blood-2009-09-245977 · Cited by 251
Biochemistry and Biomarkers of Inflamed Patients: Why Look, What to Assess
Kaysen, G. A. (2009) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.03090509 · Cited by 100
Self-citationStenvinkel, P. (2002) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/17.suppl_5.32 · Cited by 97
Relevance of Oxidative Pathways in the Pathophysiology of Chronic Kidney Disease
Himmelfarb, J. (2005) · Cardiology Clinics · doi:10.1016/j.ccl.2005.03.005 · Cited by 81
Provision of Antioxidant Therapy in Hemodialysis (PATH): A Randomized Clinical Trial
Himmelfarb, J., Ikizler, T. A., Ellis, C., Wu, P., Shintani, A., Dalal, S., Kaplan, M., Chonchol, M., & Hakim, R. M. (2014) · Journal of the American Society of Nephrology · doi:10.1681/asn.2013050545 · Cited by 69
Sonnweber, T., Theurl, I., Seifert, M., Schroll, A., Eder, S., Mayer, G., & Weiss, G. (2011) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfq483 · Cited by 55
The effect of n-3 fatty acids on C-reactive protein levels in patients with chronic renal failure
Madsen, T., Schmidt, E. B., & Christensen, J. H. (2007) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2007.03.003 · Cited by 52
Serum hepcidin but not prohepcidin may be an effective marker for anemia of inflammation (AI)
Sasu, B. J., Li, H., Rose, M. J., Arvedson, T. L., Doellgast, G., & Molineux, G. (2010) · Blood Cells Molecules and Diseases · doi:10.1016/j.bcmd.2010.07.013 · Cited by 43
Formation of carbonated apatite particles from a supersaturated inorganic blood serum model
Sandin, K., Kloo, L., Nevsten, P., Wallenberg, R. L., & Olsson, L.-F. (2009) · Journal of Materials Science: Materials in Medicine · doi:10.1007/s10856-009-3735-z · Cited by 10
Metadata
- Authors
- Yeun, J. Y., Levine, R. A., Mantadilok, V., & Kaysen, G. A.
- Venue
- American Journal of Kidney Diseases
- Publisher
- Elsevier BV
- Published
- 2000-03
- Volume
- 35
- Issue
- 3
- Pages
- 469-476
- ISSN
- 0272-6386 (ISSN-L)
- OpenAlex
- W2089162544
- Cited by
- 887
- References
- 2
- FWCI
- 38.43
- 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
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.
