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Effect of primary care physicians' use of estimated glomerular filtration rate on the timing of their subspecialty referral decisions
© Greer et al; licensee BioMed Central Ltd. 2011
Received: 30 August 2010
Accepted: 14 January 2011
Published: 14 January 2011
Primary care providers' suboptimal recognition of the severity of chronic kidney disease (CKD) may contribute to untimely referrals of patients with CKD to subspecialty care. It is unknown whether U.S. primary care physicians' use of estimated glomerular filtration rate (eGFR) rather than serum creatinine to estimate CKD severity could improve the timeliness of their subspecialty referral decisions.
We conducted a cross-sectional study of 154 United States primary care physicians to assess the effect of use of eGFR (versus creatinine) on the timing of their subspecialty referrals. Primary care physicians completed a questionnaire featuring questions regarding a hypothetical White or African American patient with progressing CKD. We asked primary care physicians to identify the serum creatinine and eGFR levels at which they would recommend patients like the hypothetical patient be referred for subspecialty evaluation. We assessed significant improvement in the timing [from eGFR < 30 to ≥ 30 mL/min/1.73m2) of their recommended referrals based on their use of creatinine versus eGFR.
Primary care physicians recommended subspecialty referrals later (CKD more advanced) when using creatinine versus eGFR to assess kidney function [median eGFR 32 versus 55 mL/min/1.73m2, p < 0.001]. Forty percent of primary care physicians significantly improved the timing of their referrals when basing their recommendations on eGFR. Improved timing occurred more frequently among primary care physicians practicing in academic (versus non-academic) practices or presented with White (versus African American) hypothetical patients [adjusted percentage(95% CI): 70% (45-87) versus 37% (reference) and 57% (39-73) versus 25% (reference), respectively, both p ≤ 0.01).
Primary care physicians recommended subspecialty referrals earlier when using eGFR (versus creatinine) to assess kidney function. Enhanced use of eGFR by primary care physicians' could lead to more timely subspecialty care and improved clinical outcomes for patients with CKD.
Chronic kidney disease (CKD) is a growing public health problem with over ten percent of United States (U.S.) adults having some form of kidney damage and/or decreased kidney function. Patients with CKD are at increased risk of poor clinical outcomes including cardiovascular disease, hospitalizations, and death. Timely referral of patients with CKD to specialist care has been shown to improve the morbidity and mortality associated with CKD[3, 4]. Therefore, clinical practice guidelines recommend patients with CKD receive subspecialty referrals when their glomerular filtration rate is less than 30 mL/min/1.73m2 to provide adequate time to manage the late complications of CKD and to prepare patients for renal replacement therapy[5–8]. Guidelines further advise referrals occur earlier (glomerular filtration rate greater than 30 mL/min/1.73m2) when patients show evidence of risk factors for rapid CKD progression, to exclude primary renal diseases when the etiology of CKD is unclear, and for the management of the early sequelae (including anemia and bone disease) of CKD, which are associated with poor clinical outcomes[5–8]. Despite these recommendations, primary care physicians, who care for a majority of the growing number of patients with stage 3 CKD, have been shown in multiple studies to have difficulties recognizing the severity of CKD, which may contribute to missed or late referrals[9–19].
Some primary care physicians' suboptimal recognition of the severity of CKD may be due, in part, to their use of serum creatinine to estimate kidney function, which is considerably less precise than more recently developed equation-based estimates of the glomerular filtration rate (eGFR)[20, 21]. Studies suggest U.S. primary care physicians' use of eGFR has been widely variable[10, 13, 16–19]. Since its inception in 2002, the National Institutes of Health's National Kidney Disease Education Program (NKDEP) has encouraged clinical laboratories to automatically report eGFR along with patient laboratory results whenever a serum creatinine is ordered to facilitate the use of eGFR in clinical decision making for patients with CKD. Although a majority of larger laboratories in the U.S. currently report eGFR (77%), less than half (38%) of all clinical laboratories nationwide calculate and report eGFR[22–24].
It is unknown whether the timing of U.S. primary care physicians' decisions to refer their patients with CKD to subspecialty care could be improved by their use of eGFR rather than serum creatinine to estimate CKD severity. Evidence of an effect of the use of eGFR on U.S. primary care physicians' CKD management decisions could influence the expansion of efforts to educate primary care providers regarding the use of eGFR to estimate CKD severity and to encourage clinical laboratories to automatically report eGFR to improve the care of patients with CKD. In a national study, we assessed the effect of U.S. primary care physicians' use of eGFR on the timing of their subspecialty referral decisions for patients with CKD.
Identification of Study Participants
As part of a national cross-sectional study conducted between August 2004 and August 2005 to assess U.S. physicians' clinical care of patients with CKD, we assessed whether primary care physicians' use of eGFR would affect the timing of their decisions to refer patients to CKD subspecialty care. We identified a random stratified sample of 400 family physicians, 400 internists, and 400 nephrologists using the American Medical Association Physician Master File and mailed physicians a self-administered questionnaire, which could be completed on paper or using the Internet. Physicians were ineligible for the study if they were not in active clinical practice or were not contactable through the 7 total mailings and 4 reminder telephone calls. Participating physicians were reimbursed $20. The Johns Hopkins Medicine Institutional Review Board approved the study protocol.
We asked physicians several questions regarding their preferred management of patients with progressing advanced CKD, including two questions to assess the threshold of kidney function at which they would refer patients for subspecialty care based on their use of either serum creatinine or eGFR to estimate kidney function. Of the 959 physicians in active clinical practice, a total of 126 nephrologists and 178 primary care physicians responded to the questionnaire. The intent of this analysis was to assess the effect of eGFR reporting on the timing of primary care physicians' recommendations for subspecialty referral. We therefore limited our study sample to the family physicians (n = 70) and internists (n = 84) who answered both referral threshold questions.
Assessment of Physician Characteristics
We assessed primary care physicians' demographic and practice characteristics [specialty (internists or family physician), practice type (academic or other), percent of time performing clinical duties, number of years in practice, ZIP code of practice, and participation in educational resources (attend conferences, read scientific journals, or other continuing medical education activities]. We also asked primary care physicians to select from a list the organizations they turn to for clinical practice guidelines as well as their awareness and compliance with guidelines regarding the referral of patients with CKD. We dichotomized the number of years in practice (≤ 10 years versus > 10 years) to reflect the approximate time interval in which physicians are required to enhance their clinical judgment and skills through the clinical practice board re-certification process[25, 26]. Since most participating physicians spent the majority of their time performing clinical duties, we dichotomized their percent time performing clinical duties at the 25th percentile (<80% versus ≥ 80%).
Assessment of Timing of Primary Care Physicians' Subspecialty Care Referrals
We assessed differences in the timing of primary care physicians' subspecialty referrals based on their use of serum creatinine or eGFR by converting their selected serum creatinine values to eGFR using the Modification of Diet in Renal Disease Study equation. We accounted for the randomly assigned race of hypothetical patients in the calculation of the creatinine-based eGFR. For each primary care physician, we calculated the absolute difference (in mL/min/1.73m2) between the eGFR and creatinine-based eGFR levels at which physicians recommended referral. The patient featured in the hypothetical scenario was at increased risk of rapid CKD progression and would therefore qualify for subspecialty referral before the eGFR reached 30 mL/min/1.73m2 or less. We therefore considered primary care physicians' recommendations for subspecialty referral to have clinically significantly improved with their use of eGFR if their serum creatinine-based referral recommendations corresponded to an eGFR level of < 30 mL/min/1.73m2, but they recommended subspecialty referral at a level ≥ 30 mL/min/1.73m2 when using eGFR.
We used bivariate (chi square, Wilcoxon rank-sum) analysis to assess differences in responding and non-responding physicians' number of years in practice and census region. We used Wilcoxon rank sum test to assess differences between the level of kidney function at which primary care physicians' recommended subspecialty referrals based on serum creatinine versus eGFR. We described the timing of primary care physicians' referrals (eGFR < 30 versus ≥ 30 mL/min/1.73m2) and the proportion of primary care physicians with clinically significant improvements in the timing of their referrals when using eGFR versus serum creatinine to estimate kidney function. We used multivariable logistic regression to identify physician (years in practice, practice setting, percent of time spent performing clinical duties, region of practice, and awareness of guidelines for referral) and hypothetical patient (diabetes presence and race) characteristics independently associated with clinically significant improvement in the timing of primary care physicians' referrals. We used Pearson's chi-square goodness of fit test to assess the model. We converted adjusted odds ratios to absolute probabilities and their corresponding 95% confidence intervals. We performed all statistical analyses with STATA version 9.2 (Statacorp, College Station, Texas). The funders had no role in the conduct or conceptualization of this study.
Of the 178 responding primary care physicians, 154 answered questions regarding the serum creatinine and eGFR level at which they would refer a patient, similar to the patient featured in the hypothetical scenario, for CKD subspecialty care. Responding and nonresponding primary care physicians did not differ in years in practice (median (interquartile range): 12 (3-21) versus 12 (5-20), respectively; p = 0.64) or census region of practice (Northeast, 25% versus 20%, Midwest, 24% versus 25%; South, 29% versus 33%; and West 22% versus 22%, respectively; p = 0.57).
Primary care physician and scenario characteristics
All N (%) N = 154
Years in practice:
≤ 10 years
Percent clinical time:
Aware of referral guidelines
Patient race: African American
Effect of eGFR on the Timing of Primary Care Physicians' Subspecialty Referrals
Recommended serum creatinine and estimated glomerular filtration rate (eGFR)-based referral levels by characteristics of the hypothetical patient
Median referral level mL/min/1.73m2
Percent of primary care physicians with clinically significant improvement in the timing of their subspecialty referral recommendations with the use of estimated glomerular filtration rate (eGFR) by physician and scenario characteristics
% of primary care physicians with clinically significant improvement in their subspecialty referral recommendations*
Adjusted† (95% CI)
Years in practice:
≤ 10 years
Percent clinical time:
Aware of referral guidelines:
In this national study, U.S. primary care physicians referred patients for subspecialty care earlier when they based their referral decisions on patients' eGFR compared to when they based their referral decisions on serum creatinine. Over a third of primary care physicians significantly improved the timing of their decisions with the use of eGFR. Improved timing of referrals was greater among primary care physicians practicing in academic settings and presented with White hypothetical patients. These findings provide insight regarding the potential impact of clinical laboratories' automatic reporting of eGFR on clinical care and patient outcomes.
To our knowledge, this is the first U.S. study to demonstrate the effect of primary care physicians' use of eGFR on the timing of their subspecialty referral decisions. Prior non-US observational studies investigating the association of eGFR reporting with CKD specialty referral practices were limited by their inability to account for various clinical and non-clinical policy and resource trends which could have also impacted referral practices[28–34]. Our study was designed to directly assess the impact of the use of eGFR on physician decision making under the same patient, provider, and system level influences. Our findings provide evidence that encouraging use of eGFR by primary care providers to assess kidney function and more widespread automatic reporting of eGFR by clinical laboratories could significantly improve the quality of care and clinical outcomes for patients with CKD by directly affecting physicians' clinical decisions. Earlier referrals to subspecialty care for the roughly one million U.S. adults with advancing CKD (defined as National Kidney Foundation Kidney Disease Outcome Quality Initiative stages 3 and 4 CKD with gross proteinuria) could impact several aspects of clinical care for these patients, including allowing for appropriate dosing of medications to accommodate impaired renal function, earlier avoidance of nephrotoxins which could hasten CKD progression, achievement of CKD directed blood pressure and lipid targets, treatment of early metabolic complications of CKD, as well as earlier preparation for renal replacement therapy, all of which have been recommended and many of which have been demonstrated to improve clinical outcomes[1, 3, 7, 35–43].
There was substantial variation in the levels of eGFR at which U.S. primary care physicians recommended referral (ranging from eGFR of 15 to 100 mL/min/1.73m2), suggesting refinement of clinical practice guidelines to clarify the indications for referral may be needed. While very early referrals may be appropriate for patients with gross proteinuria or rapidly declining kidney function, very early referrals among some patients with less risk of progression (e.g. elderly persons with reduced but relatively stable kidney function) may be inappropriate with regard to resource utilization and availability of nephrologists[44, 45]. Guidelines' clarification of clinical circumstances requiring more urgent referrals, as well as dissemination of these recommendations, may provide primary care physicians with greater confidence to care for the growing number of patients with CKD.
Differences in serum creatinine based on patient race and gender are well-established (with greater serum creatinine levels among men and African Americans). The extent to which our finding of physicians' greater improvement in the timing of referrals among Whites compared to African Americans reflects race-based inequities in care is unclear. Since we presented each physician with only one hypothetical patient scenario (featuring a patient of either White or African American race), we were unable to ascertain whether individual physicians' practice patterns would have changed if they saw patients of different races. It is highly possible later referrals of Whites based on serum creatinine reflects primary care physicians' lack of knowledge regarding the severity of kidney dysfunction associated with lower serum creatinine levels among Whites. In light of previous research demonstrating Blacks are more likely to receive later subspecialty referrals compared to Whites, our findings of equal referral timing among African Americans and Whites when primary care physicians used eGFR to estimate kidney dysfunction provides some reassurance that the use of eGFR may help narrow race-based differences in the timing of subspecialty referrals. The extent to which physicians' enhanced use of eGFR could narrow racial disparities in the long-term clinical outcomes of patients with CKD merits further study.
There are limitations of this study. First, physicians' recommendations for referral based on a hypothetical case scenario may not reflect their real practice patterns. Further, serum creatinines provided in the scenario might have caused an anchoring effect for the respondents when providing recommendations for referral based on serum creatinine. However, the use of a hypothetical case allowed us to assess physicians' decision-making regarding referral under similarly realistic conditions, and the inclusion of serum creatinine in the scenario would not have impacted within-individual-physician differences in their referrals when using serum creatinine versus eGFR. Second, we did not assess the rationale for the timing of physicians' referrals, which may have been based on factors other than the eGFR (i.e. presence of proteinuria or diabetes). Third, the study sample size was small, and primary care physicians' response rate was limited, possibly limiting our ability to detect all significant associations and the generalizability of our findings. Nonetheless, participating physicians practiced in several regions of the U.S. and in a variety of practice settings enhancing our ability to identify physician characteristics associated with improvement in the timing of referrals. Finally, the cross-sectional design of our study limits our ability to assess the potential long-term effects of physicians' eGFR referral decisions on patients' clinical outcomes. However, extensive research documenting poor clinical outcomes for patients experiencing late referrals for subspecialty care supports the potential significance of our findings[3, 4].
In conclusion, we found U.S. primary care physicians recommended subspecialty referrals earlier when assessing the severity of kidney dysfunction using eGFR compared to their assessments using serum creatinine. Physicians practicing in academic primary care settings and reviewing a hypothetical scenario featuring a White patient were more likely to improve the timing of their referral recommendations when using eGFR. Increased use of eGFR by primary care providers, in addition to more wide spread automated reporting of eGFR by U.S. clinical laboratories could improve the timing of subspecialty care and clinical outcomes for patients with CKD. Race-based differences in improved timing of referral with the use of eGFR warrant further study.
Funders: National Research Service Award (5 T32 HL007180) (Dr. Greer); Research Supplement to Promote Diversity in Health-Related Research, Grant#R01DK079682 from the National Institute of Diabetes and Digestive and Kidney Diseases (Dr. Greer); Robert Wood Johnson Harold Amos Faculty Development Program (Dr. Boulware); Grant#K23DK070757 from the National Center for Minority Health and Health Disparities and the National Institute of Diabetes and Digestive and Kidney Diseases (Dr. Boulware); and Grant #K240502643 from the National Institute of Diabetes and Digestive and Kidney Diseases (Dr. Powe)
- Coresh J, Selvin E, Stevens LA, Manzi J, Kusek JW, Eggers P, Van Lente F, Levey AS: Prevalence of chronic kidney disease in the United States. JAMA. 2007, 298: 2038-2047. 10.1001/jama.298.17.2038.View ArticlePubMedGoogle Scholar
- Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY: Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med. 2004, 351: 1296-1305. 10.1056/NEJMoa041031.View ArticlePubMedGoogle Scholar
- Chan MR, Dall AT, Fletcher KE, Lu N, Trivedi H: Outcomes in patients with chronic kidney disease referred late to nephrologists: A meta-analysis. Am J Med. 2007, 120: 1063-1070. 10.1016/j.amjmed.2007.04.024.View ArticlePubMedGoogle Scholar
- Kinchen KS, Sadler J, Fink N, Brookmeyer R, Klag MJ, Levey AS, Powe NR: The timing of specialist evaluation in chronic kidney disease and mortality. Ann Intern Med. 2002, 137: 479-486.View ArticlePubMedGoogle Scholar
- European Best Practice Guidelines Expert Group on Hemodialysis, European Renal Association: Section I. measurement of renal function, when to refer and when to start dialysis. Nephrol Dial Transplant. 2002, 17 (Suppl 7): 7-15.Google Scholar
- Mendelssohn DC, Barrett BJ, Brownscombe LM, Ethier J, Greenberg DE, Kanani SD, Levin A, Toffelmire EB: Elevated levels of serum creatinine: Recommendations for management and referral. CMAJ. 1999, 161: 413-417.PubMedPubMed CentralGoogle Scholar
- National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Am J Kidney Dis. 2002, 39 (2 Suppl 1): S1-266.Google Scholar
- Thomas MC: Caring for Australians with Renal Impairment (CARI). The CARI guidelines. Prevention of progression of kidney disease: Early referral of patients with pre-end-stage kidney disease. Nephrology (Carlton). 2007, 12 (Suppl 1): S41-3. 10.1111/j.1440-1797.2006.00716.x.View ArticleGoogle Scholar
- Boulware LE, Troll MU, Jaar BG, Myers DI, Powe NR: Identification and referral of patients with progressive CKD: A national study. Am J Kidney Dis. 2006, 48: 192-204. 10.1053/j.ajkd.2006.04.073.View ArticlePubMedGoogle Scholar
- Rothberg MB, Kehoe ED, Courtemanche AL, Kenosi T, Pekow PS, Brennan MJ, Mulhern JG, Braden GL: Recognition and management of chronic kidney disease in an elderly ambulatory population. J Gen Intern Med. 2008, 23: 1125-1130. 10.1007/s11606-008-0607-z.View ArticlePubMedPubMed CentralGoogle Scholar
- Agrawal V, Ghosh AK, Barnes MA, McCullough PA: Perception of indications for nephrology referral among internal medicine residents: A national online survey. Clin J Am Soc Nephrol. 2009, 4: 323-328. 10.2215/CJN.03510708.View ArticlePubMedPubMed CentralGoogle Scholar
- Agrawal V, Ghosh AK, Barnes MA, McCullough PA: Awareness and knowledge of clinical practice guidelines for CKD among internal medicine residents: A national online survey. Am J Kidney Dis. 2008, 52: 1061-1069. 10.1053/j.ajkd.2008.06.022.View ArticlePubMedGoogle Scholar
- Israni RK, Shea JA, Joffe MM, Feldman HI: Physician characteristics and knowledge of CKD management. Am J Kidney Dis. 2009, 54: 238-247. 10.1053/j.ajkd.2009.01.258.View ArticlePubMedGoogle Scholar
- Lenz O, Fornoni A: Chronic kidney disease care delivered by US family medicine and internal medicine trainees: Results from an online survey. BMC Med. 2006, 4: 30-10.1186/1741-7015-4-30.View ArticlePubMedPubMed CentralGoogle Scholar
- Johnson SL, Tierney EF, Onyemere KU, Tseng CW, Safford MM, Karter AJ, Ferrara A, Duru OK, Brown AF, Narayan KM, Thompson TJ, Herman WH: Who is tested for diabetic kidney disease and who initiates treatment? The translating research into action for diabetes (TRIAD) study. Diabetes Care. 2006, 29: 1733-1738. 10.2337/dc06-0260.View ArticlePubMedGoogle Scholar
- Fox CH, Brooks A, Zayas LE, McClellan W, Murray B: Primary care physicians' knowledge and practice patterns in the treatment of chronic kidney disease: An Upstate New York practice-based research network (UNYNET) study. J Am Board Fam Med. 2006, 19: 54-61. 10.3122/jabfm.19.1.54.View ArticlePubMedGoogle Scholar
- Quartarolo JM, Thoelke M, Schafers SJ: Reporting of estimated glomerular filtration rate: Effect on physician recognition of chronic kidney disease and prescribing practices for elderly hospitalized patients. J Hosp Med. 2007, 2: 74-78. 10.1002/jhm.172.View ArticlePubMedGoogle Scholar
- Akbari A, Swedko PJ, Clark HD, Hogg W, Lemelin J, Magner P, Moore L, Ooi D: Detection of chronic kidney disease with laboratory reporting of estimated glomerular filtration rate and an educational program. Arch Intern Med. 2004, 164: 1788-1792. 10.1001/archinte.164.16.1788.View ArticlePubMedGoogle Scholar
- Wyatt C, Konduri V, Eng J, Rohatgi R: Reporting of estimated GFR in the primary care clinic. Am J Kidney Dis. 2007, 49: 634-641. 10.1053/j.ajkd.2007.02.258.View ArticlePubMedGoogle Scholar
- Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D: A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. modification of diet in renal disease study group. Ann Intern Med. 1999, 130: 461-470.View ArticlePubMedGoogle Scholar
- Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J, CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration): A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009, 150: 604-612.View ArticlePubMedPubMed CentralGoogle Scholar
- Accetta NA, Gladstone EH, DiSogra C, Wright EC, Briggs M, Narva AS: Prevalence of estimated GFR reporting among US clinical laboratories. Am J Kidney Dis. 2008, 52: 778-787. 10.1053/j.ajkd.2008.05.023.View ArticlePubMedPubMed CentralGoogle Scholar
- Miller WG: Estimating glomerular filtration rate. Clin Chem Lab Med. 2009, 47: 1017-19. 10.1515/CCLM.2009.264.View ArticlePubMedGoogle Scholar
- Current status of reporting eGFR. [http://www.cap.org/apps/docs/committees/chemistry/current_status_reporting_egfr_09.pdf]
- American Board of Internal Medicine: Maintain and renew your certification: Overview/Guide. [http://www.abim.org/moc/]
- American Board of Family Physicians: Maintenance of certification. [https://www.theabfm.org/moc/index.aspx]
- Zhang J, Yu KF: What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes. JAMA. 1998, 280: 1690-1691. 10.1001/jama.280.19.1690.View ArticlePubMedGoogle Scholar
- Richards N, Harris K, Whitfield M, O'Donoghue D, Lewis R, Mansell M, Thomas S, Townend J, Eames M, Marcelli D: The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting. Nephrol Dial Transplant. 2008, 23: 556-561. 10.1093/ndt/gfm839.View ArticlePubMedGoogle Scholar
- Phillips LA, Donovan KL, Phillips AO: Renal quality outcomes framework and eGFR: Impact on secondary care. QJM. 2009, 102: 415-423. 10.1093/qjmed/hcp030.View ArticlePubMedGoogle Scholar
- Noble E, Johnson DW, Gray N, Hollett P, Hawley CM, Campbell SB, Mudge DW, Isbel NM: The impact of automated eGFR reporting and education on nephrology service referrals. Nephrol Dial Transplant. 2008, 23: 3845-3850. 10.1093/ndt/gfn385.View ArticlePubMedPubMed CentralGoogle Scholar
- Aghaie-Jaladerany H, Cowell D, Geddes CC: The early impact of the United Kingdom chronic kidney disease (CKD) guidelines on the number of new attendances at renal clinics. Scott Med J. 2007, 52: 28-31.View ArticlePubMedGoogle Scholar
- Hobbs H, Stevens P, Klebe B, Irving J, Cooley R, O'Donoghue D, Green S, Farmer C: Referral patterns to renal services: What has changed in the past 4 years?. Nephrol Dial Transplant. 2009, 24: 3411-3419. 10.1093/ndt/gfp289.View ArticlePubMedGoogle Scholar
- Jain AK, McLeod I, Huo C, Cuerden MS, Akbari A, Tonelli M, van Walraven C, Quinn RR, Hemmelgarn B, Oliver MJ, Li P, Garg AX: When laboratories report estimated glomerular filtration rates in addition to serum creatinines, nephrology consults increase. Kidney Int. 2009, 76: 318-323. 10.1038/ki.2009.158.View ArticlePubMedGoogle Scholar
- Hemmelgarn BR, Zhang J, Manns BJ, James MT, Quinn RR, Ravani P, Klarenbach SW, Culleton BF, Krause R, Thorlacius L, Jain AK, Tonelli M, Alberta Kidney Disease Network: Nephrology visits and health care resource use before and after reporting estimated glomerular filtration rate. JAMA. 2010, 303: 1151-1158. 10.1001/jama.2010.303.View ArticlePubMedGoogle Scholar
- Gaede P, Vedel P, Larsen N, Jensen GV, Parving HH, Pedersen O: Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes. N Engl J Med. 2003, 348: 383-393. 10.1056/NEJMoa021778.View ArticlePubMedGoogle Scholar
- Gaede P, Vedel P, Parving HH, Pedersen O: Intensified multifactorial intervention in patients with type 2 diabetes mellitus and microalbuminuria: The Steno Type 2 Randomised Study. Lancet. 1999, 353: 617-622. 10.1016/S0140-6736(98)07368-1.View ArticlePubMedGoogle Scholar
- Yusuf S, Sleight P, Pogue J, Bosch J, Davies R, Dagenais G: Effects of an angiotensin-converting-enzyme inhibitor, ramipril, on cardiovascular events in high-risk patients. The Heart Outcomes Prevention Evaluation Study Investigators. N Engl J Med. 2000, 342: 145-153. 10.1056/NEJM200001203420301.View ArticlePubMedGoogle Scholar
- Astor BC, Eustace JA, Powe NR, Klag MJ, Sadler JH, Fink NE, Coresh J: Timing of nephrologist referral and arteriovenous access use: The CHOICE study. Am J Kidney Dis. 2001, 38: 494-501. 10.1053/ajkd.2001.26833.View ArticlePubMedGoogle Scholar
- Cass A, Cunningham J, Snelling P, Ayanian JZ: Late referral to a nephrologist reduces access to renal transplantation. Am J Kidney Dis. 2003, 42: 1043-1049. 10.1016/j.ajkd.2003.07.006.View ArticlePubMedGoogle Scholar
- Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults: Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA. 2001, 285: 2486-2497. 10.1001/jama.285.19.2486.View ArticleGoogle Scholar
- Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jones DW, Materson BJ, Oparil S, Wright JT, Roccella EJ: Seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension. 2003, 42: 1206-1252. 10.1161/01.HYP.0000107251.49515.c2.View ArticlePubMedGoogle Scholar
- Moranne O, Froissart M, Rossert J, Gauci C, Boffa JJ, Haymann JP, M'rad MB, Jacquot C, Houillier P, Stengel B, Fouqueray B, NephroTest Study Group: Timing of onset of CKD-related metabolic complications. J Am Soc Nephrol. 2009, 20: 164-171. 10.1681/ASN.2008020159.View ArticlePubMedPubMed CentralGoogle Scholar
- Ravid M, Lang R, Rachmani R, Lishner M: Long-term renoprotective effect of angiotensin-converting enzyme inhibition in non-insulin-dependent diabetes mellitus. A 7-year follow-up study. Arch Intern Med. 1996, 156: 286-289. 10.1001/archinte.156.3.286.View ArticlePubMedGoogle Scholar
- 2008 physician specialty data: Center for Workforce Studies. [https://www.aamc.org/download/47352/data/specialtydata.pdf]
- Kidney Disease Outcomes Quality Initiative (K/DOQI): K/DOQI clinical practice guidelines on hypertension and antihypertensive agents in chronic kidney disease. Am J Kidney Dis. 2004, 43 (5 Suppl 1): S1-290.Google Scholar
- Perrone RD, Madias NE, Levey AS: Serum creatinine as an index of renal function: New insights into old concepts. Clin Chem. 1992, 38: 1933-1953.PubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2369/12/1/prepub
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