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Items: 1 to 20 of 185

1.

Could mean platelet volume be a promising biomarker of progression of chronic kidney disease?

Ju HY, Kim JK, Hur SM, Woo SA, Park KA, Park MY, Choi SJ, Hwang SD.

Platelets. 2015;26(2):143-7. doi: 10.3109/09537104.2014.890179.

PMID:
24679226
2.

Mean platelet volume is independently associated with renal dysfunction in stable coronary artery disease.

Uçar H, Gür M, Koyunsever NY, Şeker T, Türkoğlu C, Kaypakli O, Sahin DY, Elbasan Z, Çayli M.

Platelets. 2014;25(4):274-8. doi: 10.3109/09537104.2013.805406.

PMID:
23772896
3.

Prognostic abilities of different calculation formulas for the glomerular filtration rate in elderly Chinese patients with coronary artery disease.

Fu S, Liu Y, Zhu B, Xiao T, Yi S, Bai Y, Ye P, Luo L.

Clin Interv Aging. 2013;8:229-37. doi: 10.2147/CIA.S40438.

4.

The relation of mean platelet volume with microalbuminuria and glomerular filtration rate in obese individuals without other metabolic risk factors: the role of platelets on renal functions.

Esen B, Atay AE, Gunoz N, Gokmen ES, Sari H, Cakir I, Kayabasi H, Sit D.

Clin Nephrol. 2015 Jun;83(6):322-9. doi: 10.5414/CN108534.

PMID:
25943143
5.

Estimation of glomerular filtration rate by the MDRD study equation modified for Japanese patients with chronic kidney disease.

Imai E, Horio M, Nitta K, Yamagata K, Iseki K, Hara S, Ura N, Kiyohara Y, Hirakata H, Watanabe T, Moriyama T, Ando Y, Inaguma D, Narita I, Iso H, Wakai K, Yasuda Y, Tsukamoto Y, Ito S, Makino H, Hishida A, Matsuo S.

Clin Exp Nephrol. 2007 Mar;11(1):41-50.

PMID:
17384997
6.

Comparison of the Modification of Diet in Renal Disease and Cockcroft-Gault equations for dosing antimicrobials.

Hermsen ED, Maiefski M, Florescu MC, Qiu F, Rupp ME.

Pharmacotherapy. 2009 Jun;29(6):649-55. doi: 10.1592/phco.29.6.649.

PMID:
19476418
7.

Does decreased mean platelet volume predict inflammation in chronic renal failure, dialysis, and transplanted patients?

Bilen Y, Cankaya E, Keles M, Gulcan E, Uyanik A, Turkeli M, Albayrak B, Yildirim R.

Ren Fail. 2014 Feb;36(1):69-72. doi: 10.3109/0886022X.2013.832310.

PMID:
24028675
8.

The modification of diet in renal disease and chronic kidney disease epidemiology collaboration formulas versus measured or estimated creatinine clearance in kidney transplant recipients.

Chrobak L, Dębska-Ślizień A, Jankowska M, Sledziński Z, Rutkowski B.

Transplant Proc. 2014 Oct;46(8):2664-7. doi: 10.1016/j.transproceed.2014.09.009.

PMID:
25380890
9.

Enzymatic creatinine assays allow estimation of glomerular filtration rate in stages 1 and 2 chronic kidney disease using CKD-EPI equation.

Kuster N, Cristol JP, Cavalier E, Bargnoux AS, Halimi JM, Froissart M, Piéroni L, Delanaye P; Société Française de Biologie Clinique (SFBC)..

Clin Chim Acta. 2014 Jan 20;428:89-95. doi: 10.1016/j.cca.2013.11.002.

PMID:
24220551
10.

Is the Chronic Kidney Disease Epidemiology Collaboration creatinine-cystatin C equation useful for glomerular filtration rate estimation in the elderly?

Liu X, Ma H, Huang H, Wang C, Tang H, Li M, Wang Y, Lou T.

Clin Interv Aging. 2013;8:1387-91. doi: 10.2147/CIA.S52774.

11.

Modification of Diet in Renal Disease versus Chronic Kidney Disease Epidemiology Collaboration equation to estimate glomerular filtration rate in obese patients.

Bouquegneau A, Vidal-Petiot E, Vrtovsnik F, Cavalier E, Rorive M, Krzesinski JM, Delanaye P, Flamant M.

Nephrol Dial Transplant. 2013 Nov;28 Suppl 4:iv122-30. doi: 10.1093/ndt/gft329.

12.

Performance of chronic kidney disease epidemiology collaboration creatinine-cystatin C equation for estimating kidney function in cirrhosis.

Mindikoglu AL, Dowling TC, Weir MR, Seliger SL, Christenson RH, Magder LS.

Hepatology. 2014 Apr;59(4):1532-42. doi: 10.1002/hep.26556.

13.

Impact of routine reporting of estimated glomerular filtration rate using the CKD-EPI formula in a community population: A cross-sectional cohort study.

Mitchell T, Hadlow N, Chakera A.

Nephrology (Carlton). 2014 Sep;19(9):581-6. doi: 10.1111/nep.12283.

PMID:
24888643
14.

The Chronic Kidney Disease Epidemiology Collaboration equation outperforms the Modification of Diet in Renal Disease equation for estimating glomerular filtration rate in chronic systolic heart failure.

Valente MA, Hillege HL, Navis G, Voors AA, Dunselman PH, van Veldhuisen DJ, Damman K.

Eur J Heart Fail. 2014 Jan;16(1):86-94. doi: 10.1093/eurjhf/hft128.

15.

The Chronic Kidney Disease Epidemiology Collaboration cystatin C (CKD-EPI-CysC) equation has an independent prognostic value for overall survival in newly diagnosed patients with symptomatic multiple myeloma; is it time to change from MDRD to CKD-EPI-CysC equations?

Terpos E, Christoulas D, Kastritis E, Katodritou E, Pouli A, Michalis E, Papassotiriou I, Dimopoulos MA; Greek Myeloma Study Group..

Eur J Haematol. 2013 Oct;91(4):347-55. doi: 10.1111/ejh.12164.

PMID:
23829647
16.

Calcium, phosphate and parathyroid metabolism in kidney transplanted patients.

Ambrus C, Molnar MZ, Czira ME, Rosivall L, Kiss I, Remport A, Szathmari M, Mucsi I.

Int Urol Nephrol. 2009 Dec;41(4):1029-38. doi: 10.1007/s11255-009-9631-0.

PMID:
19701690
17.

Assessing glomerular filtration rate in patients with severe heart failure: comparison between creatinine-based formulas.

Libório A, Uchoa R, Neto J, Valdivia J, Daher Ede F, Mejia J.

Sao Paulo Med J. 2012;130(5):289-93.

18.

Estimation of glomerular filtration rate: does haemoglobin discriminate between ageing and true CKD?

Ferrari P, Xiao J, Ukich A, Irish A.

Nephrol Dial Transplant. 2009 Jun;24(6):1828-33. doi: 10.1093/ndt/gfn738.

19.

Natural history of CKD stage 4 and 5 patients following referral to renal management clinic.

Zhang AH, Tam P, LeBlanc D, Zhong H, Chan CT, Bargman JM, Oreopoulos DG.

Int Urol Nephrol. 2009 Dec;41(4):977-82. doi: 10.1007/s11255-009-9604-3.

PMID:
19578968
20.

Impact of renal function on mean platelet volume and its relationship with coronary artery disease: A single-centre cohort study.

Verdoia M, Barbieri L, Schaffer A, Bellomo G, Marino P, De Luca G; Novara Atherosclerosis Study (NAS) group..

Thromb Res. 2016 May;141:139-44. doi: 10.1016/j.thromres.2016.03.018.

PMID:
27039166
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