The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Adiponectin, Metabolic Risk Factors, and Cardiovascular Events among Patients with End-Stage Renal Disease
Abstract
Adiponectin (ADPN), which is a secretory protein of adipose tissue, attenuates endothelial inflammatory responses in vitro. Among human subjects, plasma ADPN concentrations are reduced among patients with atherosclerotic complications but are substantially increased among patients with advanced renal failure. The clinical and biochemical correlates of plasma ADPN levels were investigated and the predictive power of ADPN levels with respect to survival rates and cardiovascular events was prospectively tested in a cohort of 227 hemodialysis patients, who were monitored for 31 +/- 13 mo. Plasma ADPN levels were 2.5 times higher (P < 0.0001) among dialysis patients (15.0 +/- 7.7 microg/ml) than among healthy subjects (6.3 +/- 2.0 microg/ml), were independent of age, and were higher (P = 0.03) among women (15.2 +/- 7.9 microg/ml) than among men (14.0 +/- 7.4 microg/ml). For both genders, plasma ADPN levels were inversely related to body mass index values, plasma leptin levels, insulin levels, serum triglyceride levels, and homeostatic model assessment index values. Furthermore, plasma ADPN levels were directly related to HDL cholesterol levels and inversely related to von Willebrand factor levels. Plasma ADPN levels were lower (P < 0.05) among patients who experienced new cardiovascular events (13.7 +/- 7.3 microg/ml) than among event-free patients (15.8 +/- 7.8 microg/ml). There was a 3% risk reduction for each 1 microg/ml increase in plasma ADPN levels, and the relative risk of adverse cardiovascular events was 1.56 times (95% confidence interval, 1.12 to 1.99 times) higher among patients in the first ADPN tertile, compared with those in the third tertile. Plasma ADPN levels are an inverse predictor of cardiovascular outcomes among patients with end-stage renal disease. Furthermore, ADPN is related to several metabolic risk factors in a manner consistent with the hypothesis that this protein acts as a protective factor for the cardiovascular system.
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
Paradoxical Decrease of an Adipose-Specific Protein, Adiponectin, in Obesity
Arita, Y., Kihara, S., Ouchi, N., Takahashi, M., Maeda, K., Miyagawa, J.-I., Hotta, K., Shimomura, I., Nakamura, T., Miyaoka, K., et al. (1999) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.1999.0255 · Cited by 4,856
Self-citationAcute and Chronic Effect of Insulin on Leptin Production in Humans: Studies In Vivo and In Vitro
Kolaczynski, J. W., Nyce, M. R., Considine, R. V., Boden, G., Nolan, J. J., Henry, R., Mudaliar, S. R., Olefsky, J., & Caro, J. F. (1996) · Diabetes · doi:10.2337/diab.45.5.699 · Cited by 700
Cited by
Adipose Tissue as an Endocrine Organ
Kershaw, E. E., & Flier, J. S. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0395 · Cited by 5,522
The Metabolic Syndrome: Time for a Critical Appraisal
Kahn, R., Buse, J., Ferrannini, E., & Stern, M. (2005) · Diabetes Care · doi:10.2337/diacare.28.9.2289 · Cited by 2,378
Cnop, M., Havel, P. J., Utzschneider, K. M., Carr, D. B., Sinha, M. K., Boyko, E. J., Retzlaff, B. M., Knopp, R. H., Brunzell, J. D., & Kahn, S. E. (2003) · Diabetologia · doi:10.1007/s00125-003-1074-z · Cited by 1,483
Beyond insulin resistance in NASH: TNF-α or adiponectin?
Hui, J. M., Hodge, A., Farrell, G. C., Kench, J. G., Kriketos, A., & George, J. (2004) · Hepatology · doi:10.1002/hep.20280 · Cited by 942
Inflammation in Atherosclerosis: From Vascular Biology to Biomarker Discovery and Risk Prediction
Packard, R. R. S., & Libby, P. (2008) · Clinical Chemistry · doi:10.1373/clinchem.2007.097360 · Cited by 925
Metadata
- Authors
- Zoccali, C., Mallamaci, F., Tripepi, G., Benedetto, F. A., Cutrupi, S., Parlongo, S., Malatino, L. S., Bonanno, G., Seminara, G., Rapisarda, F., Fatuzzo, P., Buemi, M., Nicocia, G., Tanaka, S., Ouchi, N., Kihara, S., Funahashi, T., & Matsuzawa, Y.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2002-01
- Volume
- 13
- Issue
- 1
- Pages
- 134-141
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2134524309
- Cited by
- 761
- References
- 2
- FWCI
- 35.65
- 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: Adiponectin, Metabolic Risk Factors, and Cardiovascular Events among Patients with End-Stage Renal Disease. https://app.cochat.ai/papers/10.1681/asn.v131134
- The paper
- Zoccali, C., Mallamaci, F., Tripepi, G., Benedetto, F. A., Cutrupi, S., Parlongo, S., Malatino, L. S., Bonanno, G., Seminara, G., Rapisarda, F., Fatuzzo, P., Buemi, M., Nicocia, G., Tanaka, S., Ouchi, N., Kihara, S., Funahashi, T., & Matsuzawa, Y. (2002). Adiponectin, Metabolic Risk Factors, and Cardiovascular Events among Patients with End-Stage Renal Disease. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.v131134
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.
