Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 436

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Uric Acid and Long-term Outcomes in CKD

Open access
Madero, Magdalena, Sarnak, Mark J., Wang, Xuelei, Greene, Tom, Beck, Gerald J., Kusek, John W., Collins, Allan J., Levey, Andrew S., Menon, Vandana·2009·American Journal of Kidney Diseases

Abstract

Background Hyperuricemia is prevalent in chronic kidney disease (CKD); however data are limited on the relationship of uric acid levels with long term outcomes in this patient population. Study Design Cohort Study Setting & Participants The Modification of Diet in Renal Disease (MDRD) Study was a randomized controlled trial (N=840), conducted 1989–1993, to examine the effects of strict blood pressure control and dietary protein restriction on progression of stage 3–4 CKD. This analysis included 838 patients. Predictor Uric acid Outcomes & Measurements The study evaluated the association of baseline uric acid levels with all-cause mortality, cardiovascular (CVD) mortality, and kidney failure. Results Mean (SD) age was 52 (12) years, glomerular filtration rate was 33 (12) ml/min/1.73m2, and uric acid was 7.63 (1.66) mg/dl. During a median follow-up of 10 years, 208 (25%) participants died of any cause, 127 (15%) from CVD, and 553 (66%) reached kidney failure. In multivariate models, the highest tertile of uric acid was associated with increased risk of all-cause (HR, 1.57 [95% CI, 1.07–2.32]) mortality, a trend towards CVD mortality (HR, 1.47 [95% CI, 0.90–2.39]) and no association with kidney failure (HR, 1.20 [95% CI, 0.95–1.51), compared to the lowest tertile. In continuous analyses, a 1-mg/dl higher uric acid was associated with 17% increased risk of all-cause (HR, 1.17 [95% CI, 1.05–1.30]), and 16% increased risk of CVD mortality (HR, 1.16 [95% CI, 1.01–1.33]), but was not associated with kidney failure (HR, 1.02 [95% CI, 0.97–1.07]). Limitations Primary analyses were based on single measurement of uric acid. The results are primarily generalizable to relatively young white patients with predominantly non-diabetic CKD. Conclusions In stage 3–4 CKD, hyperuricemia appears to be an independent risk factor for all-cause and CVD mortality but not kidney failure.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1053/j.ajkd.2008.12.021

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 1 references

Cited by

See all 436

Metadata

Authors
Madero, M., Sarnak, M. J., Wang, X., Greene, T., Beck, G. J., Kusek, J. W., Collins, A. J., Levey, A. S., & Menon, V.
Venue
American Journal of Kidney Diseases
Publisher
Elsevier BV
Published
2009-05
Volume
53
Issue
5
Pages
796-803
ISSN
0272-6386 (ISSN-L)
OpenAlex
W2012967253
Cited by
436
References
1
FWCI
15.46
Type
journal article
Language
en
Open access
bronze

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: Uric Acid and Long-term Outcomes in CKD. https://app.cochat.ai/papers/10.1053/j.ajkd.2008.12.021
The paper
Madero, M., Sarnak, M. J., Wang, X., Greene, T., Beck, G. J., Kusek, J. W., Collins, A. J., Levey, A. S., & Menon, V. (2009). Uric Acid and Long-term Outcomes in CKD. American Journal of Kidney Diseases. https://doi.org/10.1053/j.ajkd.2008.12.021

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.