Performance of non‐traditional hyperglycemia biomarkers by chronic kidney disease status in older adults with diabetes: Results from the Atherosclerosis Risk in Communities Study: 在老年糖尿病患者慢性肾脏疾病状态下非传统高血糖生物标志物的检测效能:来自评估动脉粥样硬化风险社区研究的结果
Open accessAbstract
Background: In people with chronic kidney disease (CKD), HbA1c may be a problematic measure of glycemic control. Glycated albumin and fructosamine have been proposed as better markers of hyperglycemia in CKD. In the present study we investigated associations of HbA1c, glycated albumin, and fructosamine with fasting glucose by CKD categories. Methods: A cross‐sectional analysis was performed of 1665 Atherosclerosis Risk in Communities Study participants with diagnosed diabetes aged ≥65 years. Spearman's rank correlations ( r ) were compared and Deming regression was used to obtain root mean square errors (RMSEs) for the associations across CKD categories defined using estimated glomerular filtration rate and urine albumin:creatinine ratio. Results: Correlations of HbA1c, glycated albumin, and fructosamine with fasting glucose were lowest in people with severe CKD (HbA1c r = 0.52, RMSE = 0.91; glycated albumin r = 0.39, RMSE = 1.89; fructosamine r = 0.41, RMSE = 1.87) and very severe CKD ( r = 0.48 and RMSE = 1.01 for HbA1c; r = 0.36 and RMSE = 2.14 for glycated albumin; r = 0.36 and RMSE = 2.22 for fructosamine). Associations of glycated albumin and fructosamine with HbA1c were relatively similar across CKD categories. Conclusions: In older adults with severe or very severe CKD, HbA1c, glycated albumin, and fructosamine were not highly correlated with fasting glucose. The results suggest there may be no particular advantage of glycated albumin or fructosamine over HbA1c for monitoring glycemic control in CKD.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Compared with actual blood glucose, the glycated albumin assay is biased by hypoalbuminemia, a common condition in patients with CKD due to protein losses in the urine, malnutrition, or peritoneal dialysis.
“However, compared with actual blood glucose, the glycated albumin assay is biased by hypoalbuminemia, a common condition in patients with CKD due to protein losses in the urine, malnutrition, or peritoneal dialysis.”
From KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease (2022) · cites this paper as [197]
The Discussion (page not available) says glycated albumin values can be altered independently of average glucose in CKD because of proteinuria and impaired protein homeostasis. The Methods (page not available) also note that abnormal albumin metabolism may affect its values and exclude people with low serum albumin. The paper does not establish that hypoalbuminemia biases the assay relative to actual blood glucose, or identify malnutrition and peritoneal dialysis as causes of that bias. (LLM, conf=0.84)
Experimental — accuracy not yet measuredAccuracy and precision of HbA1c measurement declines with advanced CKD (G4-G5), particularly among patients treated by dialysis, in whom HbA1c measurements have low reliability.
“Practice Point 2.1.2: Accuracy and precision of HbA1c measurement declines with advanced CKD (G4 -G5), particularly among patients treated by dialysis, in whom HbA1c measurements have low reliability.”
From KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease (2022) · cites this paper as [197]
The Results (page unavailable) report a weaker association between HbA1c and fasting glucose in very severe CKD than in people without CKD. The Discussion (page unavailable) says HbA1c is particularly problematic to interpret in dialysis patients. However, the paper does not establish that the analytical accuracy or precision of HbA1c measurement declines across G4–G5, or quantify measurement reliability in dialysis patients. (LLM, conf=0.86)
Experimental — accuracy not yet measuredCorrelations of directly measured blood glucose levels with HbA1c, glycated albumin, and fructosamine were progressively weaker with advanced CKD stages (G4-G5), especially kidney failure treated by dialysis.
“Correlations of directly measured blood glucose levels with 3 glycemic biomarkers -HbA1c, glycated albumin, and fructosamine -were progressively weaker with advanced CKD stages (G4 -G5), especially kidney failure treated by dialysis. 196,197,205,210,227”
From KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease (2022) · cites this paper as [197]
The Results report weaker correlations of all three biomarkers with fasting glucose in more severe CKD categories. However, the Methods define the paper’s “very severe CKD” group more broadly than G4–G5, and the Discussion attributes the dialysis comparison to previous studies of HbA1c and glycated albumin, not to this study’s findings for all three biomarkers. The claim’s emphasis on dialysis-treated kidney failure is therefore not supported by this paper’s results. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667 · see citing works
Estimating glomerular filtration rate from serum creatinine and cystatin C
Inker, L. A., Schmid, C. H., Tighiouart, H., Eckfeldt, J. H., Feldman, H. I., Greene, T., Kusek, J. W., Manzi, J., Van Lente, F., Zhang, Y. L., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1114248 · Cited by 4,102 · see citing works
Self-citation(1989) · PubMed · Cited by 3,139 · see citing works
KDOQI clinical practice guideline for diabetes and CKD: 2012 update
(2012) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2012.07.005 · Cited by 1,320 · see citing works
The Diabetes Control and Complications Trial Research Group (1995) · Diabetes · doi:10.2337/diab.44.8.968 · Cited by 1,301 · see citing works
Carrero, J. J., Stenvinkel, P., Cuppari, L., Ikizler, T. A., Kalantar‐Zadeh, K., Kaysen, G. A., Mitch, W. E., Price, S. R., Wanner, C., Wang, A. Y.-M., et al. (2013) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2013.01.001 · Cited by 950 · see citing works
Prevalence of Anemia in Chronic Kidney Disease in the United States
Stauffer, M. E., & Fan, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084943 · Cited by 670 · see citing works
Incorrect least-squares regression coefficients in method-comparison analysis.
Cornbleet, P. J., & Gochman, N. (1979) · Clinical Chemistry · doi:10.1093/clinchem/25.3.432 · Cited by 573 · see citing works
Inaba, M., Okuno, S., Kumeda, Y., Yamada, S., Imanishi, Y., Tabata, T., Okamura, M., Okada, S., Yamakawa, T., Ishimura, E., et al. (2007) · Journal of the American Society of Nephrology · doi:10.1681/asn.2006070772 · Cited by 495 · see citing works
The Definition of Anemia in Older Persons
Izaks, G. J. (1999) · JAMA · doi:10.1001/jama.281.18.1714 · Cited by 495 · see citing works
Short-term variability in measures of glycemia and implications for the classification of diabetes
Selvin, E. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.14.1545 · Cited by 402 · see citing works
Self-citationUnrecognized Anemia in Patients With Diabetes
Thomas, M. C., MacIsaac, R. J., Tsalamandris, C., Power, D. A., & Jerums, G. (2003) · Diabetes Care · doi:10.2337/diacare.26.4.1164 · Cited by 347 · see citing works
Evaluation of regression procedures for methods comparison studies
Línnet, K. (1993) · Clinical Chemistry · doi:10.1093/clinchem/39.3.424 · Cited by 324 · see citing works
Comparison of glycated albumin and hemoglobin A1c levels in diabetic subjects on hemodialysis
Peacock, T. P., Shihabi, Z. K., Bleyer, A. J., Dolbare, E. L., Byers, J. R., Knovich, M. A., Calles-Escandon, J., Russell, G. B., & Freedman, B. I. (2008) · Kidney International · doi:10.1038/ki.2008.25 · Cited by 323 · see citing works
American Diabetes Association (2016) · Diabetes Care · doi:10.2337/dc17-s009 · Cited by 272 · see citing works
Shurraw, S. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.537 · Cited by 270 · see citing works
Selvin, E., Rawlings, A. M., Grams, M., Klein, R., Sharrett, A. R., Steffes, M., & Coresh, J. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70199-2 · Cited by 262 · see citing works
Self-citationAnemia in the elderly: Current understanding and emerging concepts
Eisenstaedt, R. S., Penninx, B. W. J. H., & Woodman, R. C. (2006) · Blood Reviews · doi:10.1016/j.blre.2005.12.002 · Cited by 261 · see citing works
Insulin-like growth factor-I prevents caspase-mediated apoptosis in Schwann cells
Delaney, C. L., Cheng, H.-L., & Feldman, E. L. (1999) · Journal of Neurobiology · doi:10.1002/(sici)1097-4695(199912)41:4 · Cited by 253 · see citing works
Glycemic Control Is a Predictor of Survival for Diabetic Patients on Hemodialysis
Morioka, T., Emoto, M., Tabata, T., Shoji, T., Tahara, H., Kishimoto, H., Ishimura, E., & Nishizawà, Y. (2001) · Diabetes Care · doi:10.2337/diacare.24.5.909 · Cited by 221 · see citing works
Kim, C., Bullard, K. M., Herman, W. H., & Beckles, G. L. (2010) · Diabetes Care · doi:10.2337/dc09-0836 · Cited by 213 · see citing works
Impact of Glycemic Control on Survival of Diabetic Patients on Chronic Regular Hemodialysis
Oomichi, T., Emoto, M., Tabata, T., Morioka, T., Tsujimoto, Y., Tahara, H., Shoji, T., & Nishizawà, Y. (2006) · Diabetes Care · doi:10.2337/dc05-1887 · Cited by 191 · see citing works
Parrinello, C. M., & Selvin, E. (2014) · Current Diabetes Reports · doi:10.1007/s11892-014-0548-3 · Cited by 154 · see citing works
Self-citationFructosamine and glycated albumin and the risk of cardiovascular outcomes and death
Selvin, E., Rawlings, A. M., Lutsey, P. L., Maruthur, N., Pankow, J. S., Steffes, M., & Coresh, J. (2015) · Circulation · doi:10.1161/circulationaha.115.015415 · Cited by 151 · see citing works
Self-citationContributions of Fasting and Postprandial Glucose to Hemoglobin A1c
Monnier, L., & Colette, C. (2006) · Endocrine Practice · doi:10.4158/ep.12.s1.42 · Cited by 135 · see citing works
Glycated Albumin and Risk of Death and Hospitalizations in Diabetic Dialysis Patients
Freedman, B. I., Andries, L., Shihabi, Z. K., Rocco, M. V., Byers, J. R., Cardona, C. Y., Pickard, M. A., Henderson, D. L., Sadler, M. V., Courchene, L. M., et al. (2011) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.11491210 · Cited by 134 · see citing works
Freedman, B. I., Shenoy, R. N., Planer, J. A., Clay, K. D., Shihabi, Z. K., Burkart, J. M., Cardona, C. Y., Andries, L., Peacock, T. P., Sabio, H., et al. (2010) · Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis · doi:10.3747/pdi.2008.00243 · Cited by 121 · see citing works
Vos, F. E., Schollum, J. B. W., Coulter, C. V., Manning, P. J., Duffull, S. B., & Walker, R. J. (2011) · Nephrology · doi:10.1111/j.1440-1797.2011.01517.x · Cited by 114 · see citing works
Shafi, T., Sozio, S. M., Plantinga, L., Jaar, B. G., Kim, E. T., Parekh, R. S., Steffes, M. W., Powe, N. R., Coresh, J., & Selvin, E. (2012) · Diabetes Care · doi:10.2337/dc12-1896 · Cited by 103 · see citing works
Self-citationHemoglobin A1c Levels and Mortality in the Diabetic Hemodialysis Population
Ramirez, S. P. B., McCullough, K. P., Thumma, J. R., Nelson, R. G., Morgenstern, H., Gillespie, B. W., Inaba, M., Jacobson, S. H., Vanholder, R. C., Pisoni, R. L., et al. (2012) · Diabetes Care · doi:10.2337/dc12-0573 · Cited by 103 · see citing works
Hill, C. J., Maxwell, A. P., Cardwell, C. R., Freedman, B. I., Tonelli, M. A., Emoto, M., Inaba, M., Hayashino, Y., Fukuhara, S., Okada, T., et al. (2013) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2013.06.020 · Cited by 98 · see citing works
Best Practice for Diabetic Patients on Hemodialysis 2012
Nakao, T., Inaba, M., Abe, M., Kaizu, K., Shima, K., Babazono, T., Tomo, T., Hirakata, H., Akizawa, T., & Japanese Society for Dialysis Therapy (2015) · Therapeutic Apheresis and Dialysis · doi:10.1111/1744-9987.12299 · Cited by 75 · see citing works
Specific glycation of albumin depends on its half-life
Schleicher, E. D., Olgemöller, B., Wiedenmann, E., & Gerbitz, K.-D. (1993) · Clinical Chemistry · doi:10.1093/clinchem/39.4.625 · Cited by 72 · see citing works
High Glycated Albumin and Mortality in Persons with Diabetes Mellitus on Hemodialysis
Chen, C., Drechsler, C., Suntharalingam, P., Karumanchi, S. A., Wanner, C., & Berg, A. H. (2016) · Clinical Chemistry · doi:10.1373/clinchem.2016.258319 · Cited by 57 · see citing works
Chen, H.-S., Wu, T.-E., Lin, H.-D., Jap, T., Hsiao, L., Lee, S.-H., & Lin, S. (2010) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2009.10.064 · Cited by 55 · see citing works
Vos, F. E., Schollum, J. B., & Walker, R. (2011) · Clinical Kidney Journal · doi:10.1093/ndtplus/sfr140 · Cited by 52 · see citing works
Glycated Hemoglobin Level and Mortality in a Nondiabetic Population with CKD
Avillach, C., Metzger, M., Haymann, J., Boffa, J., Flamant, M., Vrtovsnik, F., Houillier, P., Stengel, B., & Thervet, É. (2015) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.08540814 · Cited by 17 · see citing works
Glycated albumin may be a possible alternative to hemoglobin A1c in diabetic patients with anemia
Kim, S., Min, W., Chun, S., Lee, W., & Park, H. (2011) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2011.646 · Cited by 15 · see citing works
Malmström, H., Walldius, G., Grill, V., Jungner, I., & Hammar, N. (2015) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2015.07.002 · Cited by 14 · see citing works
Total Short-term Variability in Biomarkers of Hyperglycemia in Older Adults
Parrinello, C. M., Lutsey, P. L., Couper, D. J., Eckfeldt, J. H., Steffes, M. W., Coresh, J., & Selvin, E. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2015.246231 · Cited by 12 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- Centers for Disease Control, 2010, National Chronic Kidney Disease Fact Sheet: General Information and National Estimates on Chronic Kidney Disease in the United States, 2010
- Little RR, 1999, Can glycohemoglobin (GHB) be used to accurately assess glycemic control in patients with chronic renal failure (CRF)?, Diabetes, 48, 784
- Levin A, 2013, Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group: KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease, Kidney Int Suppl, 3, e150
Cited by
Sorted by citations
KDIGO 2020 Clinical practice guideline for diabetes management in chronic kidney disease
de Boer, I. H., Caramori, M. L., Chan, J. C. N., Heerspink, H. J. L., Hurst, C., Khunti, K., Liew, A., Michos, E. D., Navaneethan, S. D., Olowu, W. A., et al. (2020) · Kidney International · doi:10.1016/j.kint.2020.06.019 · Cited by 1,399 · see citing works
KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease
Rossing, P., Caramori, M. L., Chan, J. C. N., Heerspink, H. J. L., Hurst, C., Khunti, K., Liew, A., Michos, E. D., Navaneethan, S. D., Olowu, W. A., et al. (2022) · Kidney International · doi:10.1016/j.kint.2022.06.008 · Cited by 1,373 · see citing works
Review of methods for detecting glycemic disorders
Bergman, M., Abdul‐Ghani, M. A., DeFronzo, R. A., Manco, M., Sesti, G., Fiorentino, T. V., Ceriello, A., Rhee, M. K., Phillips, L. S., Chung, S. T., et al. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108233 · Cited by 202 · see citing works
Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
NCD Risk Factor Collaboration (NCD-RisC), Zhou, B., Sheffer, K. E., Bennett, J. E., Gregg, E. W., Danaei, G., Singleton, R. K., Shaw, J. E., Mishra, A., Lhoste, V. P. F., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02610-2 · Cited by 94 · see citing works
Giglio, R. V., Sasso, B. L., Agnello, L., Bivona, G., Maniscalco, R., Ligi, D., Mannello, F., & Ciaccio, M. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9113634 · Cited by 72 · see citing works
Reddy, N., Verma, N., & Dungan, K. M. (2020) · MDText.com, Inc. eBooks · Cited by 68 · see citing works
Metabolic Disorders with Kidney Transplant
Cohen, E., Korah, M. M., Callender, G. G., Aguiar, R. B. D., & Haakinson, D. J. (2020) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.09310819 · Cited by 55 · see citing works
Zelnick, L. R., Batacchi, Z. O., Ahmad, I., Dighe, A., Little, R. R., Trence, D. L., Hirsch, I. B., & de Boer, I. H. (2020) · Diabetes Care · doi:10.2337/dc20-0915 · Cited by 55 · see citing works
Remaining useful life prediction of rolling bearing using fractal theory
Meng, Z., Li, J., Yin, N., & Pan, Z. (2020) · Measurement · doi:10.1016/j.measurement.2020.107572 · Cited by 53 · see citing works
KDOQI US Commentary on the KDIGO 2020 Clinical Practice Guideline for Diabetes Management in CKD
Mottl, A. K., Alicic, R. Z., Argyropoulos, C., Brosius, F. C., Mauer, M. S., Molitch, M. E., Nelson, R. G., Perreault, L., & Nicholas, S. B. (2022) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2021.09.010 · Cited by 60 · see citing works
Bloomgarden, Z. T., & Handelsman, Y. (2017) · Journal of Diabetes · doi:10.1111/1753-0407.12624 · Cited by 34 · see citing works
Bellia, C., Cosma, C., Sasso, B. L., Bivona, G., Agnello, L., Zaninotto, M., & Ciaccio, M. (2019) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/00365513.2019.1613673 · Cited by 32 · see citing works
Protein glycation in diabetes mellitus
Shin, A., Connolly, S. M., & Kabytaev, K. (2023) · Advances in clinical chemistry · doi:10.1016/bs.acc.2022.11.003 · Cited by 30 · see citing works
Diabetes mellitus in dialysis and renal transplantation
Ben-David, E., Hull, R., & Banerjee, D. (2021) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/20420188211048663 · Cited by 18 · see citing works
Ling, J., Ng, J. K., Lau, E. S. H., Ronald, C. W., Kong, A. P. S., Luk, A. O. Y., Kwok, J. S.-S., Szeto, C., Chan, J. C. N., & Chow, E. (2022) · Kidney International Reports · doi:10.1016/j.ekir.2022.03.029 · Cited by 18 · see citing works
Phuphuakrat, A., Nimitphong, H., Reutrakul, S., & D, S. S. M. (2020) · AIDS Research and Therapy · doi:10.1186/s12981-020-00284-1 · Cited by 17 · see citing works
Rathmann, W., Bongaerts, B. W. C., & Kostev, K. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12823 · Cited by 17 · see citing works
Hung, C., Zhen, Y., Niu, S., Lin, K., Lin, H. Y., Lee, J., Chang, J., & Kuo, I. (2022) · Biomedicines · doi:10.3390/biomedicines10081858 · Cited by 15 · see citing works
Matsha, T. E., Korf, M., Erasmus, R. T., Hoffmann, M., Mapfumo, C., Smit, F., & Zemlin, A. E. (2019) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/0004563219847234 · Cited by 15 · see citing works
Ooi, S.-W., Yeh, S., Chang, Y., Li, C., & Chen, H.-F. (2022) · PLoS ONE · doi:10.1371/journal.pone.0272137 · Cited by 12 · see citing works
Framework of Guidelines for Management of CKD in Asia
Pollock, C. A., Moon, J., Ha, L. P. N., Gojaseni, P., Ching, C. H., Gomez, L., Chan, T. M., Wu, M., Yeo, S. C., Nugroho, P., et al. (2023) · Kidney International Reports · doi:10.1016/j.ekir.2023.12.010 · Cited by 13 · see citing works
Prevention of Chronic Kidney Disease and Its Complications in Older Adults
Tungsanga, S., & Bello, A. K. (2024) · Drugs & Aging · doi:10.1007/s40266-024-01128-7 · Cited by 9 · see citing works
Berger, M., Marx, N., & Marx-Schütt, K. (2025) · European Cardiology Review · doi:10.15420/ecr.2024.29 · Cited by 10 · see citing works
Tuttle, K. R., & McGill, J. B. (2020) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13986 · Cited by 8 · see citing works
Kong, D. C. C., Akbari, A., Malcolm, J., Doyle, M.-A., & Hoar, S. (2020) · Canadian Journal of Kidney Health and Disease · doi:10.1177/2054358120922628 · Cited by 8 · see citing works
Limitations of hemoglobin A1c in the management of type 2 diabetes mellitus.
Zhu, N. A., Reichert, S. M., & Harris, S. B. (2020) · Europe PMC (PubMed Central) · Cited by 7 · see citing works
Overtreatment and undertreatment in a sample of elderly people with diabetes
AL‐Musawe, L., Torre, C., Guerreiro, J., Rodrigues, A. T., Raposo, J. F., Mota‐Filipe, H., & Martins, A. P. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.14847 · Cited by 7 · see citing works
Bloomgarden, Z. T., EINHORN, D. F., Handelsman, Y., Misra, A., Zonszein, J., Grunberger, G., Jellinger, P. S., & Garber, A. J. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12668 · Cited by 6 · see citing works
Xue, P., Tan, X. W., & Benedict, C. (2023) · Journal of Sleep Research · doi:10.1111/jsr.13917 · Cited by 6 · see citing works
Laghrib, Y., Hilbrands, L. B., Oniscu, G. C., Crespo, M., Gandolfini, I., Mariat, C., Mjøen, G., Sever, M. Ş., Watschinger, B., Velioğlu, A., et al. (2024) · Clinical Kidney Journal · doi:10.1093/ckj/sfae367 · Cited by 5 · see citing works
Ooi, S.-W., Lee, M.-T., Chang, Y.-Y., Chang, C.-H., & Chen, H.-F. (2024) · BMC Nephrology · doi:10.1186/s12882-024-03686-9 · Cited by 4 · see citing works
Ha, M.-T., Dao, T.-T., & Nguyen, T.-A. (2024) · Endocrine and Metabolic Science · doi:10.1016/j.endmts.2024.100175 · Cited by 4 · see citing works
Trtica, M. L., Babič, F., Bosnić, Z., Zekić–Sušac, M., & Wittlinger, T. (2020) · International Journal of Diabetes and Clinical Research · doi:10.23937/2377-3634/1410121 · Cited by 4 · see citing works
Suh, Y. M., Fisher, M., Hu, D., Lin, F., Wukich, D. K., Tennant, J. N., & Lalli, T. A. J. (2024) · Foot & Ankle Orthopaedics · doi:10.1177/24730114241263093 · Cited by 3 · see citing works
Niwaha, A. J., Balungi, P., McDonald, T. J., Hattersley, A. T., Shields, B. M., Nyirenda, M., & Jones, A. G. (2025) · Diabetic Medicine · doi:10.1111/dme.70011 · Cited by 2 · see citing works
Su, H., Ni, J., Peng, D., He, X., Lu, W. D., Zhu, W. M., Wang, Y., Ma, X., Lu, J., & Zhou, J. (2025) · Endocrine · doi:10.1007/s12020-025-04268-x · Cited by 1 · see citing works
Ivanov, D. D., & Ivanova, M. D. (2020) · KIDNEYS · doi:10.22141/2307-1257.9.3.2020.211461 · Cited by 1 · see citing works
Liew, Z. H., Tan, P. H., Foo, M., Kee, T. Y. S., & Ho, Q. Y. (2021) · CEN Case Reports · doi:10.1007/s13730-020-00546-x · Cited by 1 · see citing works
Glycaemic Monitoring in Diabetic Kidney Disease – Is HbA1c Reliable?
Isa, S. B., Hami, R. B., JA, A. N. J. N., Noordin, S. S., & Ismail, T. S. T. (2021) · Journal of Health Science and Medical Research · doi:10.31584/jhsmr.2021831 · Cited by 1 · see citing works
The use of predialysis glucose as long term glycemic marker in hemodialysis patients
Topal, M., & Kurtgöz, P. Ö. (2022) · Journal of Health Sciences and Medicine · doi:10.32322/jhsm.1056046 · Cited by 1 · see citing works
Tuấn, H. M., Dao, T. T., & Nguyễn, A. T. (2022) · Research Square · doi:10.21203/rs.3.rs-1903409/v1 · Cited by 1 · see citing works
Nurmala, S., Irani, A., Azmi, N. U., Setiawan, H., & Sauriasari, R. (2025) · F1000Research · doi:10.12688/f1000research.165975.1
Cuevas‐Budhart, M. Á., Gómez-Rosas, K., Saavedra-Fernández, R. D., Ávila, M., Campos, E. I., Ferreira‐Hermosillo, A., Ramos, A., Cavero‐Redondo, I., & Paniagua, R. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15166137
- Authors
- Jung, M., Warren, B., Grams, M., Kwong, Y. D., Shafi, T., Coresh, J., Rebholz, C. M., & Selvin, E.
- Affiliations
- Johns Hopkins University (US)
- University of California, San Francisco (US)
- Corresponding author
- Selvin, Elizabeth
- ORCID
- Venue
- Journal of Diabetes
- Publisher
- Wiley
- Published
- 2017-12-21
- Volume
- 10
- Issue
- 4
- Pages
- 276-285
- ISSN
- 1753-0393 (ISSN-L)
- 1753-0407
- PMC
- PMC5867205
- OpenAlex
- W2765190241
- Cited by
- 43
- References
- 40
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 4 · 2022: 7 · 2021: 4 · 2020: 13 · 2019: 2 · 2018: 2 · 2017: 1
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (T32 HL007024)
- National Institute of Diabetes and Digestive and Kidney Diseases (R03DK104012, R01DK089174, K24DK106414, K01DK107782)
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
- Keywords
- chronic kidney disease, glycemic control, HbA1c, glycated albumin, fructosamine, fasting blood glucose, diabetes mellitus, older adults, estimated glomerular filtration rate, urine albumin-creatinine ratio, glycemic markers, Atherosclerosis Risk in Communities Study
- MeSH terms
- Glycated Serum Albumin, Aged, Aged, 80 and over, Blood Glucose, Community Health Services, Cross-Sectional Studies, Diabetes Mellitus, Fasting, Female, Glycated Hemoglobin, Humans, Hyperglycemia, Male, Risk Factors, Serum Albumin, Biomarkers, Glycation End Products, Advanced, Fructosamine, Atherosclerosis, Renal Insufficiency, Chronic
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
