The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Age- and sex-dependent clinical equations to estimate glomerular filtration rates in children and young adults with chronic kidney disease
Open accessAbstract
Using data (2655 observations from 928 participants) from the Chronic Kidney Disease in Children Study, we developed and internally validated new glomerular filtration rate estimating equations for clinical use in children and young adults: two forms of K × [heigh(ht) / serum creatinine(sCr)] and two forms of K × [1 / cystatin C(cysC)]. For each marker, one equation used a sex-dependent K; in the other, K is sex-and age-dependent. Glomerular filtration rate (GFR) was measured directly by plasma iohexol disappearance. The equations using ht/sCr had sex-specific constants of 41.8 for males and 37.6 for females. In the age- dependent models, K increased monotonically for children 1–18 years old and was constant for young adults 18–25 years. For males, K ranged from 35.7 for one-year-olds to 50.8 for those 18 and older. For females, the values of K ranged from 33.1 to 41.4. Constant K values for cystatin-C equations were 81.9 for males and 74.9 for females. With age-dependency, K varied non-monotonically with the highest values at age 15 for males (K of 87.2) and 12 years for females (K of 79.9). Use of an age-dependent K with ht/sCr models reduced average bias, notably in young children and young adults; age-dependent cystatin-C models produced similar agreement to using a constant K in children under 18 years, but reduced bias in young adults. These age-dependent proposed equations were evaluated alongside estimated GFRs from 11 other published equations for pediatrics and young adults. Only our proposed equations yielded non- significant bias and within 30% accuracy values greater than 85% in both the pediatric and young adult subpopulations.
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
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Toprak, O., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney and Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,627
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
Self-citationNew Equations to Estimate GFR in Children with CKD
Schwartz, G. J., Mun[Combining Tilde]oz, A., Schneider, M. F., Mak, R. H., Kaskel, F., Warady, B. A., & Furth, S. L. (2009) · Journal of the American Society of Nephrology · doi:10.1681/asn.2008030287 · Cited by 3,777
Self-citationSchwartz, G. J., Haycock, G. B., Edelmann, C. M., & Spitzer, A. (1976) · Pediatrics · doi:10.1542/peds.58.2.259 · Cited by 2,379
Self-citationHidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms
Vyas, D. A., Eisenstein, L. G., & Jones, D. S. (2020) · New England Journal of Medicine · doi:10.1056/nejmms2004740 · Cited by 1,731
Schwartz, G. J., Brion, L. P., & Spitzer, A. (1987) · Pediatric Clinics of North America · doi:10.1016/s0031-3955(16)36251-4 · Cited by 1,726
Self-citationSerum cystatin C is superior to serum creatinine as a marker of kidney function: A meta-analysis
Dharnidharka, V. R., Kwon, C., & Stevens, G. (2002) · American Journal of Kidney Diseases · doi:10.1053/ajkd.2002.34487 · Cited by 1,663
Schwartz, G. J., Schneider, M. F., Maier, P. S., Moxey-Mims, M., Dharnidharka, V. R., Warady, B. A., Furth, S. L., & Muñoz, A. (2012) · Kidney International · doi:10.1038/ki.2012.169 · Cited by 566
Self-citation
Cited by
KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease
Stevens, P. E., Ahmed, S. B., Carrero, J. J., Foster, B., Francis, A., Hall, R. K., Herrington, W. G., Hill, G., Inker, L. A., Kazancıoğlu, R., et al. (2024) · Kidney International · doi:10.1016/j.kint.2023.10.018 · Cited by 8,530
Metadata
- Authors
- Pierce, C. B., Muñoz, A., Ng, D. K., Warady, B. A., Furth, S. L., & Schwartz, G. J.
- Venue
- Kidney International
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 99
- Issue
- 4
- Pages
- 948-956
- ISSN
- 0085-2538 (ISSN-L)
- OpenAlex
- W3112307720
- Cited by
- 420
- References
- 30
- FWCI
- 18.51
- 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: Age- and sex-dependent clinical equations to estimate glomerular filtration rates in children and young adults with chronic kidney disease. https://app.cochat.ai/papers/10.1016/j.kint.2020.10.047
- The paper
- Pierce, C. B., Muñoz, A., Ng, D. K., Warady, B. A., Furth, S. L., & Schwartz, G. J. (2021). Age- and sex-dependent clinical equations to estimate glomerular filtration rates in children and young adults with chronic kidney disease. Kidney International. https://doi.org/10.1016/j.kint.2020.10.047
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.