The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Predictors of New-Onset Kidney Disease in a Community-Based Population
Abstract
Context Kidney disease is associated with an increased risk for the development of cardiovascular disease and end-stage renal disease; however, risk factors for kidney disease have not been well studied. Objective To identify predictors of the development of new-onset kidney disease. Design, setting, and participants A community-based, longitudinal cohort study of 2585 participants who attended both a baseline examination in 1978-1982 and a follow-up examination in 1998-2001, and who were free of kidney disease at baseline. Main outcome measures Kidney disease was assessed by the Modification of Diet in Renal Disease Study equation and defined by a glomerular filtration rate (GFR) in the fifth or lower percentile ( Results At baseline, there were 1223 men and 1362 women, with a mean age of 43 years, who were free of preexisting kidney disease. After a mean follow-up of 18.5 years, 244 participants (9.4%) had developed kidney disease. In multivariable models, baseline age (odds ratio [OR], 2.36 per 10-year increment; 95% confidence interval [CI], 2.00-2.78), GFR ( or =120 mL/min per 1.73 m2), a mildly reduced GFR ( Conclusions Established cardiovascular disease risk factors are associated with the development of new-onset kidney disease. Patients with a mildly reduced GFR should be monitored for progression to kidney disease.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“While dyslipidemia is a risk factor for progressive kidney disease (8,10,20,21)”
From Effects of Fibrates in Kidney Disease (2012) · cites this paper as [8]
Citations
Cites
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
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
Lewis, E. J., Hunsicker, L. G., Clarke, W. R., Berl, T., Pohl, M. A., Lewis, J. B., Ritz, E., Atkins, R. C., Rohde, R., & Raz, I. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011303 · Cited by 5,987
Klahr, S., Levey, A. S., Beck, G. J., Caggiula, A. W., Hunsicker, L., Kusek, J. W., & Striker, G. (1994) · New England Journal of Medicine · doi:10.1056/nejm199403313301301 · Cited by 2,328
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 1,003
2017 Taiwan lipid guidelines for high risk patients
Li, Y., Ueng, K., Jeng, J., Charng, M., Lin, T., Chien, K., Wang, C., Chao, T., Liu, P., Su, C., et al. (2017) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2016.11.013 · Cited by 166
Liu, C.-T., Garnaas, M., Tin, A., Köttgen, A., Franceschini, N., Peralta, C. A., de Boer, I. H., Lu, X., Atkinson, E. J., Ding, J., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002264 · Cited by 117
“Serum creatinine was calibrated to NHANES in all studies (including replication cohorts) to account for between-laboratory variation as previously described [3,36,37].”
MethodSelf-citationLanktree, M. B., Thériault, S., Walsh, M. W., & Paré, G. (2017) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2017.06.011 · Cited by 137
Nagata, M., Ninomiya, T., Doi, Y., Yonemoto, K., Kubo, M., Hata, J., Tsuruya, K., Iida, M., & Kiyohara, Y. (2010) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfq062 · Cited by 123
“Likewise, hypercholesterolaemia and obesity have been shown to be independent risk factors for CKD [27,28].”
Orthostatic hypotension in genetically related hypertensive and normotensive individuals
Fedorowski, A., Burri, P., & Melander, O. (2009) · Journal of Hypertension · doi:10.1097/hjh.0b013e3283279860 · Cited by 128
Whaley‐Connell, A. T., & Sowers, J. R. (2017) · Kidney International · doi:10.1016/j.kint.2016.12.034 · Cited by 138
Foster, M., Hwang, S.-J., Larson, M., Parikh, N., Meigs, J., Vasan, R., Wang, T. J., Levy, D., & Fox, C. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.13.1386 · Cited by 130
“It is also possible that the presence of both low GFR and MA reduces the potential misclassification in identifying those individuals who truly have CKD.”
BackgroundMethodInfluentialSelf-citationWuerzner, G., Pruijm, M., Maillard, M., Bovet, P., Renaud, C., Burnier, M., & Bochud, M. (2010) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2010.03.017 · Cited by 129
Genome-wide association study of kidney function decline in individuals of European descent
Gorski, M., Tin, A., Garnaas, M., McMahon, G. M., Chu, A. Y., Tayo, B. O., Pattaro, C., Teumer, A., Chasman, D. I., Chalmers, J. P., et al. (2014) · Kidney International · doi:10.1038/ki.2014.361 · Cited by 140
“Traditional risk factors for CKD include diabetes and hypertension, but these do not fully account for CKD risk [10].”
BackgroundSelf-citationSakaguchi, Y., Shoji, T., Kawabata, H., Niihata, K., Suzuki, A., Kaneko, T., Okada, N., Isaka, Y., Rakugi, H., & Tsubakihara, Y. (2011) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.08670910 · Cited by 125
“The median BMI was 23.1 kg/m2 in our study and 23.5 kg/m2 in that of Imai et al.; the percentage of obese patients was 4% and 5%, of diabetes mellitus was 31.0% and 36.7%, of hypertension was 80.0% and 81.5%, and of pre-existing CVD was 27.0% and 25.6%, respectively.”
BackgroundInfluentialKim, S., Lim, C. S., Han, D. C., Kim, G. S., Chin, H. J., Kim, S.-J., Cho, W. Y., Kim, Y. H., & Kim, Y.-S. (2009) · Journal of Korean Medical Science · doi:10.3346/jkms.2009.24.s1.s11 · Cited by 124
“High BMI was an independent risk factor of decreased renal function (29) and was also associated with an increased incidence of ESRD in Japanese individuals living on Okinawa (26).”
BackgroundA Simple Algorithm to Predict Incident Kidney Disease
Kshirsagar, A., Bang, H., Bomback, A. S., Vupputuri, S., Shoham, D., Kern, L. M., Klemmer, P., Mazumdar, M., & August, P. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.22.2466 · Cited by 126
Karamouzis, I., Sarafidis, P., Karamouzis, M., Iliadis, S., Haidich, A., Sioulis, A., Triantos, A., Vavatsi-Christaki, N., & Grekas, D. (2007) · American Journal of Nephrology · doi:10.1159/000112413 · Cited by 125
“but accumulating evidence suggests that other important cardiovascular risk factors, such as obesity and dyslipidemia, are also associated with an increased CKD risk [”
BackgroundPeralta, C. A., Katz, R., Bonventre, J. V., Sabbisetti, V. S., Siscovick, D. S., Sarnak, M. J., & Shlipak, M. G. (2012) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2012.05.014 · Cited by 124
“Recent work has focused on understanding risk factors for development of CKD.(3) However, clinically available markers detect CKD only when the disease is established, there is extensive kidney damage, and the window for primary prevention has closed.”
BackgroundInfluentialGremmel, T., Müller, M., Steiner, S., Seidinger, D., Koppensteiner, R., Kopp, C., & Panzer, S. (2013) · Nephrology, Dialysis and Transplantation · doi:10.1093/ndt/gft103 · Cited by 123
“This is due to the fact that diabetes and arterial hypertension are not only risk factors for atherosclerosis but also for the development of renal insufficiency [14].”
BackgroundImpact of obesity on the risk of heart failure and survival after the onset of heart failure
Kenchaiah, S., Gaziano, J. M., & Vasan, R. S. (2004) · Medical Clinics of North America · doi:10.1016/j.mcna.2004.04.011 · Cited by 120
“Predisposition to proteinuria and renal dysfunction Obesity is associated with an increased risk of proteinuria [77] and renal insufficiency [78] presumably caused by glomerular hyperfiltration; glomerular hyperperfusion; glomerular hypertrophy; hyperlipidemia; and increased expression of vasoactive and fibrogenic sub…”
BackgroundPark, J. I., Baek, H., & Jung, H. H. (2016) · Journal of Korean Medical Science · doi:10.3346/jkms.2016.31.6.915 · Cited by 127
“Diabetes was less prevalent in the United States, but this may be owing to the difference in the definition of diabetes between studies (i.e., self-reported diabetes in data from the United States vs. the laboratory examinations-based diagnosis in our study) rather than a reflection of the true prevalence of diabetes.”
BackgroundInfluentialAlcohol consumption and the risk of renal dysfunction in apparently healthy men.
Schaeffner, E., Kurth, T., de Jong, P. D., Glynn, R., Buring, J., & Gaziano, J. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.9.1048 · Cited by 120
Othman, M., Kawar, B., & el Nahas, A. (2009) · Nephron Clinical Practice · doi:10.1159/000228071 · Cited by 119
Diabetic Kidney Disease: A Report From an ADA Consensus Conference
Tuttle, K. R., Bakris, G. L., Bilous, R. W., Chiang, J. L., de Boer, I. H., Goldstein‐Fuchs, J., Hirsch, I. B., Kalantar‐Zadeh, K., Narva, A. S., Navaneethan, S. D., et al. (2014) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.08.001 · Cited by 905
Proton pump inhibitors and acute kidney injury: a nested case–control study
Klepser, D., Collier, D., & Cochran, G. (2013) · BMC Nephrology · doi:10.1186/1471-2369-14-150 · Cited by 118
“Potential confounders in this study were illnesses and the use of prescription medications that have been previously shown to be associated with renal disease [26].”
BackgroundChronic Kidney Disease After Hematopoietic Cell Transplantation: A Systematic Review
Ellis, M., Parikh, C. R., Inrig, J. K., Kambay, M., & Patel, U. D. (2008) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2008.02408.x · Cited by 130
Interaction of Aging and Chronic Kidney Disease
Prakash, S., & O’Hare, A. M. (2009) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2009.06.006 · Cited by 114
“Older age is a risk factor for the development of CKD [12], most likely reflecting both lower mean levels of eGFR and higher rates of renal function loss in older compared with younger patients with an eGFR ≥60 mL/min/1.”
BackgroundShankar, A., Leng, C.-L., Chia, K., Koh, D., Tai, E. S., Saw, S., Lim, S.-C., & Wong, T. (2008) · Nephrology, Dialysis and Transplantation · doi:10.1093/ndt/gfm878 · Cited by 117
“intracapillary perfusion pressure with BMI that may in turn lead to glomerulosclerosis and loss of GFR over time [27–29], an increase in the activity of sympathetic nervous system and the rennin–angiotensin system (RAS) [30,31], the reported relation of BMI with markers of inflammation [32–34], endothelial function [3…”
BackgroundChronic kidney disease and diabetes
Pyram, R., Kansara, A., Banerji, M. A., & Loney‐Hutchinson, L. (2011) · Maturitas · doi:10.1016/j.maturitas.2011.11.009 · Cited by 102
Shoham, D. A., Durazo-Arvizú, R., Kramer, H., Luke, A., Vupputuri, S. X., Kshirsagar, A. V., & Cooper, R. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003431 · Cited by 113
“diet further contribute to obesity, which has recently emerged as an independent risk factor for kidney disease [2,3,4,5].”
BackgroundEpidemiology of Chronic Kidney Disease in Heart Failure
Ahmed, A., & Campbell, R. C. (2008) · Heart Failure Clinics · doi:10.1016/j.hfc.2008.03.008 · Cited by 115
“Data from the Framingham Heart Study suggest that age, baseline GFR, body mass index, smoking, and diabetes are risk factors for new-onset CKD in the general population [78].”
MethodEpidemiology of Obesity, the Metabolic Syndrome, and Chronic Kidney Disease
Tanner, R. M., Brown, T. M., & Muntner, P. (2012) · Current Hypertension Reports · doi:10.1007/s11906-012-0254-y · Cited by 121
Obesity and hypertension: mechanisms, cardio-renal consequences, and therapeutic approaches.
Reisin, E., & Jack, A. (2009) · The Medical clinics of North America · doi:10.1016/j.mcna.2009.02.010 · Cited by 114
“2-fold increase in the risk for kidney disease.(27) Autopsy studies from obese patients have shown a high incidence of glomerulomegaly and focal segmental glomerulosclerosis (FSGS) an incidence that increases over a 10-year period.”
BackgroundDecreased renal function among adults with a history of nephrolithiasis: a study of NHANES III.
Gillen, D., Worcester, E., & Coe, F. (2005) · Kidney International · doi:10.1111/j.1523-1755.2005.67128.x · Cited by 114
“Moreover, elevated BMI has been found to predict new onset kidney disease in a recent longitudinal study [29].”
Davey, A., Elias, M. F., Robbins, M. A., Seliger, S. L., & Dore, G. A. (2012) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfs470 · Cited by 122
Chronic Kidney Disease as a Predictor of Cardiovascular Disease (from the Framingham Heart Study)
Parikh, N. I., Hwang, S., Larson, M. G., Levy, D. A., & Fox, C. S. (2008) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2008.02.095 · Cited by 111
Self-citationThe metabolic syndrome and chronic kidney disease in a Southeast Asian cohort.
Kitiyakara, C., Yamwong, S., Cheepudomwit, S., Domrongkitchaiporn, S., Unkurapinun, N., Pakpeankitvatana, V., & Sritara, P. (2007) · Kidney International · doi:10.1038/sj.ki.5002128 · Cited by 113
Whaley‐Connell, A. T., & Sowers, J. R. (2017) · Cardiorenal Medicine · doi:10.1159/000479801 · Cited by 123
Risk Factors for Development of Chronic Kidney Disease in Cats
Finch, N., Syme, H., & Elliott, J. (2016) · Journal of Veterinary Internal Medicine · doi:10.1111/jvim.13917 · Cited by 112
A Prediction Model for the Risk of Incident Chronic Kidney Disease
Chien, K., Lin, H., Lee, B., Hsu, H., Lee, Y., & Chen, M.-F. (2010) · The American Journal of Medicine · doi:10.1016/j.amjmed.2010.05.010 · Cited by 111
Tsai, M.-H., Hsu, C.-Y., Lin, M.-Y., Yen, M., Chen, H.-H., Chiu, Y.-H., & Hwang, S.-J. (2018) · Nephron · doi:10.1159/000491708 · Cited by 111
Obesity and Change in Estimated GFR Among Older Adults
de Boer, I. H., Katz, R., Fried, L. F., Ix, J. H., Luchsinger, J. A., Sarnak, M. J., Shlipak, M. G., Siscovick, D. S., & Kestenbaum, B. R. (2009) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2009.07.018 · Cited by 107
Wang, C., Li, L., Liu, S., Liao, G., Li, L., Chen, Y., Cheng, J., Lu, Y., & Liu, J. (2018) · PLOS ONE · doi:10.1371/journal.pone.0193473 · Cited by 110
The dual roles of obesity in chronic kidney disease: a review of the current literature
Rhee, C., Ahmadi, S., & Kalantar-zadeh, K. (2016) · Current opinion in nephrology and hypertension · doi:10.1097/mnh.0000000000000212 · Cited by 109
“[10] (2004) Framingham Offspring cohort (2585) BMI examined in 1-SD increments Incrementally higher BMI associated with " risk of incident CKD N/A”
BackgroundBiomarkers of Cardiovascular Stress and Incident Chronic Kidney Disease
Ho, J. E., Hwang, S., Wollert, K. C., Larson, M. G., Cheng, S. C., Kempf, T., Vasan, R. S., Januzzi, J. L., Wang, T. J., & Fox, C. S. (2013) · Clinical Chemistry · doi:10.1373/clinchem.2013.205716 · Cited by 118
Self-citationScientific evidence underlying contraindications to the ketogenic diet: An update
Watanabe, M., Tuccinardi, D., Ernesti, I., Basciani, S., Mariani, S., Genco, A., Manfrini, S., Lubrano, C., & Gnessi, L. (2020) · Obesity Reviews · doi:10.1111/obr.13053 · Cited by 120
The regenerative potential of parietal epithelial cells in adult mice.
Berger, K., Schulte, K. A., Boor, P., Kuppe, C., van Kuppevelt, T., Floege, J., Smeets, B., & Moeller, M. (2014) · Journal of the American Society of Nephrology · doi:10.1681/asn.2013050481 · Cited by 108
Chronic kidney disease in the general population
White, S. L., Cass, A., Atkins, R. C., & Chadban, S. J. (2005) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2004.10.009 · Cited by 115
Obesity Paradox in Advanced Kidney Disease: From Bedside to the Bench
Naderi, N., Kleine, C., Park, C., Hsiung, J., Soohoo, M., Tantisattamo, E., Streja, E., Kalantar‐Zadeh, K., & Moradi, H. (2018) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2018.07.001 · Cited by 113
“While obesity and excess body fat are associated with a higher risk for development and progression of de novo CKD (77-79), a potential protective effect of higher BMI in terms of improved survival in CKD remains controversial (Table 1).”
BackgroundSerum phosphorus predicts incident chronic kidney disease and end-stage renal disease
O’Seaghdha, C. M., Hwang, S., Muntner, P., Melamed, M. L., & Fox, C. S. (2011) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfq808 · Cited by 118
“This definition of incident CKD is consistent with our prior work in this area [17].”
ResultSelf-citationLang, J., Katz, R., H., J., Gutiérrez, O. M., Peralta, C., Parikh, C., Satterfield, S., Petrovic̀, S., Devarajan, P., Bennett, M., et al. (2018) · Nephrology, Dialysis and Transplantation · doi:10.1093/ndt/gfx229 · Cited by 105
“The underlying risk factors for the onset and progression of kidney disease in elders are incompletely characterized, but include older age, black race, diabetes, hypertension and cardiovascular disease [3].”
BackgroundThe Impact of Renal Function on Outcomes of Bariatric Surgery
Turgeon, N. A., Perez, S. D., Mondestin, M., Davis, S. S., Lin, E., Tata, S., Kirk, A. D., Larsen, C. P., Pearson, T. C., & Sweeney, J. F. (2012) · Journal of the American Society of Nephrology · doi:10.1681/asn.2011050476 · Cited by 105
Periodontal Disease and Decreased Kidney Function in Japanese Elderly
Iwasaki, M., Taylor, G. W., Nesse, W., Vissink, A., Yoshihara, A., & Miyazaki, H. (2011) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2011.08.027 · Cited by 98
Obesity, metabolic health, and the risk of end-stage renal disease
Panwar, B., Hanks, L. J., Tanner, R., Muntner, P., Kramer, H., Mcclellan, W., Warnock, D., Judd, S., & Gutiérrez, O. M. (2014) · Kidney International · doi:10.1038/ki.2014.384 · Cited by 103
Accuracy of GFR estimation in obese patients.
Lemoine, S., Guebre-Egziabher, F., Sens, F., Nguyen-Tu, M.-S., Juillard, L., Dubourg, L., & Hadj-Aissa, A. (2014) · American Society of Nephrology. Clinical Journal · doi:10.2215/cjn.03610413 · Cited by 103
“Thus, studies have concluded that no estimation is validated for patients over 75 years, malnourished patients, patients with extreme variations of weight or muscle mass, and patients with a low protein diet (3,4,7).”
BackgroundThe MYH9/APOL1 region and chronic kidney disease in European-Americans
O’Seaghdha, C. M., Parekh, R. S., Hwang, S., Li, M., Köttgen, A., Coresh, J., Yang, Q., Fox, C. S., & Kao, W. H. L. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr118 · Cited by 95
Self-citationA Multi-Marker Approach to Predict Incident CKD and Microalbuminuria
Fox, C. S., Gona, P. N., Larson, M. G., Selhub, J., Tofler, G. H., Hwang, S., Meigs, J. B., Levy, D. A., Wang, T. J., Jacques, P. F., et al. (2010) · Journal of the American Society of Nephrology · doi:10.1681/asn.2010010085 · Cited by 102
Self-citationSerum Metabolomic Profiling and Incident CKD among African Americans
Yu, B., Zheng, Y., Nettleton, J. A., Alexander, D. C., Coresh, J., & Boerwinkle, E. (2014) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.11971113 · Cited by 110
“Hypertension and diabetes are two key risk factors for the development of CKD (8).”
BackgroundGrams, M. E., Juraschek, S. P., Selvin, E., Foster, M. C., Inker, L. A., Eckfeldt, J. H., Levey, A. S., & Coresh, J. (2013) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2013.03.013 · Cited by 100
Cigarette smoking and progression of IgA nephropathy.
Yamamoto, R., Nagasawa, Y., Shoji, T., Iwatani, H., Hamano, T., Kawada, N., Inoue, K., Uehata, T., Kaneko, T., Okada, N., et al. (2010) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2010.02.351 · Cited by 102
Ninomiya, T., Kiyohara, Y., Kubo, M., Tanizaki, Y., Tanaka, K., Okubo, K., Nakamura, H., Hata, J., Oishi, Y., Kato, I., et al. (2004) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2004.05.024 · Cited by 102
The Predictive Value of NLR, MLR, and PLR in the Outcome of End-Stage Kidney Disease Patients
Mureṣan, A., Russu, E., Arbănași, E.-M., Kaller, R., Hosu, I., Arbănași, E.-M., & Voidăzan, S. (2022) · Biomedicines · doi:10.3390/biomedicines10061272 · Cited by 101
Kramer, H., Gutiérrez, O. M., Judd, S., Muntner, P., Warnock, D., Tanner, R., Panwar, B., Shoham, D., & Mcclellan, W. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2015.05.023 · Cited by 101
Maeda, I., Hayashi, T., Sato, K., Koh, H., Harita, N., Nakamura, Y., Endo, G., Kambe, H., & Fukuda, K. (2011) · American Society of Nephrology. Clinical Journal · doi:10.2215/cjn.00700111 · Cited by 101
The Enlarging Body of Evidence
Chertow, G. M., Hsu, C., & Johansen, K. L. (2006) · Journal of the American Society of Nephrology · doi:10.1681/asn.2006040327 · Cited by 93
Common Variants in UMOD Associate with Urinary Uromodulin Levels
Olden, M., Corre, T., Hayward, C., Toniolo, D., Ulivi, S., Gasparini, P., Pistis, G., Hwang, S., Bergmann, S., Campbell, H., et al. (2014) · Journal of the American Society of Nephrology · doi:10.1681/asn.2013070781 · Cited by 100
Self-citationDevelopment and validation of a general population renal risk score.
Halbesma, N., Jansen, D., Heymans, M., Stolk, R., de Jong, P. D., & Gansevoort, R. (2011) · American Society of Nephrology. Clinical Journal · doi:10.2215/cjn.08590910 · Cited by 99
Iseki, K., Tohyama, K., Matsumoto, T., & Nakamura, H. (2008) · Hypertension Research · doi:10.1291/hypres.31.249 · Cited by 97
“In addition, obesity and cardiovascular disease are associated with CKD (11).”
Cardiovascular Risk Factors in CKD Associate with Both ESRD and Mortality
Muntner, P., Judd, S. E., Gao, L., Gutiérrez, O. M., Rizk, D. V., McClellan, W., Cushman, M., & Warnock, D. G. (2013) · Journal of the American Society of Nephrology · doi:10.1681/asn.2012070642 · Cited by 108
Hsu, C.-Y., McCulloch, C., Darbinian, J., Go, A., & Iribarren, C. (2005) · Journal of the American Society of Nephrology · doi:10.1681/asn.2005080814 · Cited by 98
Garofalo, C., Borrelli, S., Pacilio, M., Minutolo, R., Chiodini, P., Nicola, L. D., & Conte, G. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2015.08.027 · Cited by 139
Chronic Kidney Disease in Japan
Iseki, K. (2008) · Internal Medicine · doi:10.2169/internalmedicine.47.0906 · Cited by 97
“In addition to the conventional risk factors for CVD, CKD is often associated with non-conventional risk factors such as anemia and serum calcium and phosphate disturbances, which are proportional to CKD stage (7-10).”
BackgroundBariatric surgery and progression of chronic kidney disease
Navaneethan, S. D., & Yehnert, H. (2009) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2009.01.006 · Cited by 100
Nakagawa, K., Hirai, T., Takashima, S., Fukuda, N., Ohara, K., Sasahara, E., Taguchi, Y., Dougu, N., Nozawa, T., Tanaka, K., et al. (2011) · American Journal of Cardiology · doi:10.1016/j.amjcard.2010.10.074 · Cited by 94
Genome-Wide Association Studies in Nephrology Research
Köttgen, A. (2010) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2010.05.018 · Cited by 92
Guía europea de prevención cardiovascular en la práctica clínica: Adaptación española del CEIPC 2008
Lobos, J. M., Royo‐Bordonada, M. Á., Brotons, C., Álvarez-Sala, L., Armario, P., Maiques, A., Mauricio, D., Sans, S., Villar, F., Lizcano‐Álvarez, A., et al. (2008) · Revista Española de Salud Pública · doi:10.1590/s1135-57272008000600002 · Cited by 97
Predictors of change in estimated GFR: a population-based 7-year follow-up from the Tromso study.
Kronborg, J., Solbu, M., Njølstad, I., Toft, I., Eriksen, B., & Jenssen, T. (2008) · Nephrology, Dialysis and Transplantation · doi:10.1093/ndt/gfn148 · Cited by 94
“Some community-based studies have assessed the risk of CKD (defined as GFR 11 ,12].”
BackgroundYeung, M. W., Wong, G. L., Choi, K. C., Luk, A. O. Y., Kwok, R., Shu, S. S., Chan, A. W. H., Lau, E. S. H., Ronald, C. W., Chan, H. L., et al. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2017.09.020 · Cited by 98
Ryu, S., Chang, Y., Woo, H., Lee, K., Kim, S., Kim, D., Kim, W. S., Suh, B.-S., Jeong, C., & Yoon, K. (2008) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2008.07.027 · Cited by 90
A Risk Score for Chronic Kidney Disease in the General Population
O’Seaghdha, C. M., Lyass, A., Massaro, J. M., Meigs, J. B., Coresh, J., D’Agostino, R. B., Astor, B. C., & Fox, C. S. (2012) · The American Journal of Medicine · doi:10.1016/j.amjmed.2011.09.009 · Cited by 94
“Serum creatinine was easured by the Jaffé method, and a 2-step calibration rocess was used, as previously described.(19)”
Self-citationChronic Kidney Disease: Novel Insights from Genome-Wide Association Studies
Böger, C. A., & Heid, I. M. (2011) · Kidney & Blood Pressure Research · doi:10.1159/000326901 · Cited by 86
“with patients that progress to end-stage renal disease (ESRD) particularly affected. Diabetes and hypertension are major risk factors, but do not account for all of the risk [”
BackgroundBody Mass Index and Angiotensin-Dependent Control of the Renal Circulation in Healthy Humans
Ahmed, S. B., Fisher, N. D. L., Stevanovic, R., & Hollenberg, N. K. (2005) · Hypertension · doi:10.1161/01.hyp.0000190819.07663.da · Cited by 92
Chen, X., Mao, Y., Hu, J., Han, S., Gong, L., Luo, T., Yang, S., Qing, H., Wang, Y., Du, Z., et al. (2021) · Diabetes · doi:10.2337/db20-1031 · Cited by 92
Renal function and target organ damage in hypertension
Ruilope, L. M., & Bakris, G. L. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr003 · Cited by 96
Epidemiology and Risk Factors for Chronic Kidney Disease
McClellan, W. M. (2005) · Medical Clinics of North America · doi:10.1016/j.mcna.2004.11.006 · Cited by 97
“23 for each increase of one standard deviation [142].”
BackgroundMadrigal, J. M., Ricardo, A. C., Persky, V., & Turyk, M. E. (2018) · Environmental Research · doi:10.1016/j.envres.2018.11.009 · Cited by 98
“A relationship between smoking and kidney disease has been suggested (Bleyer et al., 2000; Fox et al., 2004), with evidence indicating that exposure to cadmium (Richter et al.”
Huh, J. H., Yadav, D., Kim, J. S., Son, J., Choi, E. H., Kim, S. H., Shin, C., Sung, K., & Kim, J. (2016) · Metabolism · doi:10.1016/j.metabol.2016.11.003 · Cited by 102
The risk of chronic kidney disease in a metabolically healthy obese population.
Jung, C.-H., Lee, M. J., Kang, Y.-M., Hwang, J., Kim, E. H., Park, J., Kim, H.-K., & Lee, W. J. (2015) · Kidney International · doi:10.1038/ki.2015.183 · Cited by 91
Underuse of ACE Inhibitors and Angiotensin II Receptor Blockers in Elderly Patients With Diabetes
Winkelmayer, W. C., Fischer, M. A., Schneeweiß, S., Wang, P. S., Levin, R., & Avorn, J. (2005) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2005.08.018 · Cited by 88
Rule, A., Jacobson, D. J., Roberts, R., Girman, C., Mcgree, M., Lieber, M., & Jacobsen, S. (2005) · Kidney International · doi:10.1111/j.1523-1755.2005.00344.x · Cited by 91
“Identified risk factors for chronic kidney disease include diabetes, hypertension, smoking, obesity, dyslipidemia, and metabolic syndrome [3, 4].”
BackgroundRisk Factors for Chronic Kidney Disease in Adults with Cystic Fibrosis
Quon, B. S., Mayer-Hamblett, N., Aitken, M. L., Smyth, A. R., & Goss, C. H. (2011) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201105-0932oc · Cited by 90
“Previous studies in the general population have shown that advanced age is an independent risk factor for CKD (7, 16).”
BackgroundTsuruya, K., Yoshida, H., Nagata, M., Kitazono, T., Iseki, K., Iseki, C., Fujimoto, S., Konta, T., Moriyama, T., Yamagata, K., et al. (2015) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2015.05.011 · Cited by 90
Sirota, J. C., Mcfann, K., Targher, G., Chonchol, M., & Jalal, D. (2012) · American Journal of Nephrology · doi:10.1159/000343885 · Cited by 90
Lin, J., & Curhan, G. C. (2010) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.03260410 · Cited by 94
Ahmadi, S., Zahmatkesh, G., Ahmadi, E., Streja, E., Rhee, C. M., Gillen, D. L., Nicola, L. D., Minutolo, R., Ricardo, A. C., Kovesdy, C. P., et al. (2015) · Cardiorenal Medicine · doi:10.1159/000437277 · Cited by 129
CKD and Its Risk Factors among Patients with Cystinuria
Prot‐Bertoye, C., Lebbah, S., Daudon, M., Tostivint, I. N., Bataille, P., Bridoux, F., Brignon, P., Choquenet, C., Cochat, P., Combe, C., et al. (2015) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.06680714 · Cited by 100
“Age is also a risk factor for CKD in the general population (23,24).”
BackgroundCardiovascular risk factors in patients with chronic kidney disease
van der Zee, S. A., Baber, U., Elmariah, S., Winston, J. A., & Fuster, V. (2009) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2009.121 · Cited by 82
“The global burden of both cardiovascular disease and CKD is increasing, which is partially attributable to the growing prevalence of shared traditional risk factors, including advanced age, diabetes mellitus and hypertension”
BackgroundChanges in Body Weight Predict CKD in Healthy Men
Ryu, S., Chang, Y., Woo, H., Kim, S., Kim, D., Kim, W. S., Suh, B.-S., Choi, N., & Lee, J. (2008) · Journal of the American Society of Nephrology · doi:10.1681/asn.2007121286 · Cited by 83
Lipid Nephrotoxicity: New Concept for an Old Disease
Gyebi, L., Soltani, Z., & Reisin, E. (2012) · Current Hypertension Reports · doi:10.1007/s11906-012-0250-2 · Cited by 85
Rule, A., Rodeheffer, R., Larson, T., Burnett, J., Cosío, F., Turner, S., & Jacobsen, S. (2006) · Mayo Clinic proceedings · doi:10.4065/81.11.1427 · Cited by 85
Lifestyle Factors and Indices of Kidney Function in the Framingham Heart Study
Foster, M. C., Hwang, S., Massaro, J. M., Jacques, P. F., Fox, C. S., & Chu, A. Y. (2015) · American Journal of Nephrology · doi:10.1159/000430868 · Cited by 84
Self-citationOverweight, Obesity and Chronic Kidney Disease
Ting, S. M. S., Nair, H., Ching, I., Taheri, S., & Dasgupta, I. (2009) · Nephron Clinical Practice · doi:10.1159/000214206 · Cited by 84
Hwang, S.-J., Yang, Q., Meigs, J., Pearce, E., & Fox, C. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s10 · Cited by 84
“CVD risk factors are associated with the development of kidney disease [9], and the prevalence of traditional and novel CVD risk factors is elevated among those with kidney disease [7,10].”
Self-citationRisk factors of gender for renal progression in patients with early chronic kidney disease
Chang, P.-Y., Chien, L., Lin, Y.-F., Wu, M.-S., Chiu, W.-T., & Chiou, H. (2016) · Medicine · doi:10.1097/md.0000000000004203 · Cited by 83
Metadata
- Authors
- Fox, C. S.
- Affiliations
- Framingham Heart Study (US)
- Corresponding author
- Fox, Caroline S.
- ORCID
- Fox, Caroline S.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2004-02-18
- Volume
- 291
- Issue
- 7
- Pages
- 844
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W1992283514
- Cited by
- 1,241
- References
- 0
- Citations by year
- 2026: 21 · 2025: 28 · 2024: 50 · 2023: 37 · 2022: 53 · 2021: 62 · 2020: 62 · 2019: 47 · 2018: 49 · 2017: 59 · 2016: 81 · 2015: 49 · 2014: 79 · 2013: 83 · 2012: 68
- FWCI
- 28.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (n01hc25195-41-0-1)
- National Heart, Lung, and Blood Institute (N01‐HC25195)
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Keywords
- chronic kidney disease, risk factors, glomerular filtration rate, diabetes mellitus, smoking, body mass index, age, MDRD equation, cardiovascular disease, end-stage renal disease, community-based cohort, risk prediction model, renal function decline, hyperlipidemia, antihypertensive drugs, antihypertensive medication adherence
- MeSH terms
- Adult, Aged, Cardiovascular Diseases, Female, Glomerular Filtration Rate, Humans, Kidney Diseases, Longitudinal Studies, Male, Middle Aged, Risk Factors, Logistic Models
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
