The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Renal function in diabetic nephropathy
Open accessAbstract
Diabetic nephropathy is the kidney disease that occurs as a result of diabetes. Cardiovascular and renal complications share common risk factors such as blood pressure, blood lipids, and glycemic control. Thus, chronic kidney disease may predict cardiovascular disease in the general population. The impact of diabetes on renal impairment changes with increasing age. Serum markers of glomerular filtration rate and microalbuminuria identify renal impairment in different segments of the diabetic population, indicating that serum markers as well as microalbuminuria tests should be used in screening for nephropathy in diabetic older people. The American Diabetes Association and the National Institutes of Health recommend Estimated glomerular filtration rate (eGFR) calculated from serum creatinine at least once a year in all people with diabetes for detection of kidney dysfunction. eGFR remains an independent and significant predictor after adjustment for conventional risk factors including age, sex, duration of diabetes, smoking, obesity, blood pressure, and glycemic and lipid control, as well as presence of diabetic retinopathy. Cystatin-C (Cys C) may in future be the preferred marker of diabetic nephropathy due differences in measurements of serum creatinine by various methods. The appropriate reference limit for Cys C in geriatric clinical practice must be defined by further research. Various studies have shown the importance of measurement of albuminuria, eGFR, serum creatinine and hemoglobin level to further enhance the prediction of end stage renal disease.
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
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
Prediction of Creatinine Clearance from Serum Creatinine
Cockcroft, D. W., & Gault, H. (1976) · Nephron · doi:10.1159/000180580 · Cited by 15,309
Levey, A. S., Bosch, J. P., Lewis, J. B., Greene, T., Rogers, N., Roth, D., & for the Modification of Diet in Renal Disease Study Group* (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00002 · Cited by 15,079
Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization
Go, A. S., Chertow, G. M., Fan, D., McCulloch, C. E., & Hsu, C.-Y. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041031 · Cited by 11,369
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873
Standards of Medical Care in Diabetes
Power, D. (2006) · Diabetes Care · doi:10.2337/diacare.29.02.06.dc05-1593 · Cited by 8,673
Brenner, B. M., Cooper, M. E., de Zeeuw, D., Keane, W. F., Mitch, W. E., Parving, H.-H., Remuzzi, G., Snapinn, S. M., Zhang, Z., & Shahinfar, S. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011161 · Cited by 7,493
Global Burden of Diabetes, 1995–2025: Prevalence, numerical estimates, and projections
King, H., Aubert, R. E., & Herman, W. H. (1998) · Diabetes Care · doi:10.2337/diacare.21.9.1414 · Cited by 6,311
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
A formula to estimate the approximate surface area if height and weight be known. 1916.
Bois, D. D., & Bois, E. F. D. (1989) · PubMed · Cited by 5,314
Cited by
Afrash, M. R., Rahimi, F., Kazemi-Arpanahi, H., Shanbezadeh, M., Amraei, M., & Asadi, F. (2022) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2022.101135 · Cited by 8
Metadata
- Authors
- Dabla, P. K.
- Venue
- World Journal of Diabetes
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2010
- Volume
- 1
- Issue
- 2
- Pages
- 48
- ISSN
- 1948-9358 (ISSN-L)
- OpenAlex
- W1979541659
- Cited by
- 306
- References
- 70
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Renal function in diabetic nephropathy. https://app.cochat.ai/papers/10.4239/wjd.v1.i2.48
- The paper
- Dabla, P. K. (2010). Renal function in diabetic nephropathy. World Journal of Diabetes. https://doi.org/10.4239/wjd.v1.i2.48
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.