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Items: 1 to 20 of 72

1.

Equations estimating renal function in patients with diabetes.

Drion I, Joosten H, Groenier KH, Lieverse AG, Kleefstra N, Wetzels JF, Bilo HJ.

Neth J Med. 2011 Oct;69(10):455-60. No abstract available.

PMID:
22058268
2.

Diagnostic accuracy of various glomerular filtration rates estimating equations in patients with chronic kidney disease and diabetes.

Li HX, Xu GB, Wang XJ, Zhang XC, Yang JM.

Chin Med J (Engl). 2010 Mar 20;123(6):745-51.

PMID:
20368098
3.

New predictive equations improve monitoring of kidney function in patients with diabetes.

Beauvieux MC, Le Moigne F, Lasseur C, Raffaitin C, Perlemoine C, Barthe N, Chauveau P, Combe C, Gin H, Rigalleau V.

Diabetes Care. 2007 Aug;30(8):1988-94.

PMID:
17536079
4.

Measuring renal function in patients with diabetes mellitus.

McElduff A, Shuter B, Cooper R, Davies L, Fulcher G, Hoschl R, Wilmshurst E.

J Diabetes Complications. 1997 Jul-Aug;11(4):225-9.

PMID:
9201599
5.

Are prediction equations for glomerular filtration rate useful for the long-term monitoring of type 2 diabetic patients?

Fontseré N, Salinas I, Bonal J, Bayés B, Riba J, Torres F, Rios J, Sanmartí A, Romero R.

Nephrol Dial Transplant. 2006 Aug;21(8):2152-8.

PMID:
16702203
6.

Predicting glomerular filtration rate in heart transplant recipients using serum creatinine-based equations with cimetidine.

Tangri N, Alam A, Giannetti N, Deedwardes MB, Cantarovich M.

J Heart Lung Transplant. 2008 Aug;27(8):905-9. doi: 10.1016/j.healun.2008.05.003.

PMID:
18656805
7.

[Filtration function of the kidneys in patients with hypertensive disease and diabetes mellitus].

Spesivtseva VG, Frenkel' VKh, Mamaeva GG.

Kardiologiia. 1971 Jul;11(7):81-5. Russian. No abstract available.

PMID:
5130695
8.

Validation of estimated renal function measurements compared with the isotopic glomerular filtration rate in an HIV-infected cohort.

Bonjoch A, Bayés B, Riba J, Puig J, Estany C, Perez-Alvarez N, Clotet B, Negredo E.

Antiviral Res. 2010 Dec;88(3):347-54. doi: 10.1016/j.antiviral.2010.09.015.

PMID:
20887753
9.

Predictive performance of renal function equations for patients with chronic kidney disease and normal serum creatinine levels.

Bostom AG, Kronenberg F, Ritz E.

J Am Soc Nephrol. 2002 Aug;13(8):2140-4.

PMID:
12138147
10.

Performance of creatinine clearance equations on the original Cockcroft-Gault population.

Shoker A, Hossain MA, Koru-Sengul T, Raju DL, Cockcroft D.

Clin Nephrol. 2006 Aug;66(2):89-97.

PMID:
16939064
11.

Serum creatinine as an index of renal function: new insights into old concepts.

Perrone RD, Madias NE, Levey AS.

Clin Chem. 1992 Oct;38(10):1933-53. Review.

PMID:
1394976
12.

dGlucose is linked to renal function changes in diabetes.

Mandal AK, Hiebert LM, Khamis H.

Diabetes Res Clin Pract. 2011 Feb;91(2):190-4. doi: 10.1016/j.diabres.2010.11.013.

PMID:
21146888
13.

Drawbacks and prognostic value of formulas estimating renal function in patients with chronic heart failure and systolic dysfunction.

Smilde TD, van Veldhuisen DJ, Navis G, Voors AA, Hillege HL.

Circulation. 2006 Oct 10;114(15):1572-80.

PMID:
17015793
14.

The accuracy of creatinine clearance with and without urine collection as a measure of glomerular filtration rate.

Waller DG, Fleming JS, Ramsey B, Gray J.

Postgrad Med J. 1991 Jan;67(783):42-6.

PMID:
2057426
15.

Estimating glomerular filtration rate in kidney transplantation: a comparison between serum creatinine and cystatin C-based methods.

White C, Akbari A, Hussain N, Dinh L, Filler G, Lepage N, Knoll GA.

J Am Soc Nephrol. 2005 Dec;16(12):3763-70.

PMID:
16236805
16.

A comparison of prediction equations for estimating glomerular filtration rate in Chinese potential living kidney donors.

Zhao WY, Zeng L, Zhu YH, Wang LM, Zhou MS, Han S, Zhang L.

Clin Transplant. 2009 Aug-Sep;23(4):469-75. doi: 10.1111/j.1399-0012.2009.01027.x.

PMID:
19573086
17.
18.
19.

Serum neutrophil gelatinase-associated lipocalin as a marker of renal function in non-diabetic patients with stage 2-4 chronic kidney disease.

Malyszko J, Bachorzewska-Gajewska H, Sitniewska E, Malyszko JS, Poniatowski B, Dobrzycki S.

Ren Fail. 2008;30(6):625-8. doi: 10.1080/08860220802134607.

PMID:
18661413
20.

Predictive performance of renal function equations in renal transplant recipients: an analysis of patient factors in bias.

Bosma RJ, Doorenbos CR, Stegeman CA, van der Heide JJ, Navis G.

Am J Transplant. 2005 Sep;5(9):2193-203.

PMID:
16095498
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