BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Bukabau JB, Yayo E, Gnionsahé A, Monnet D, Pottel H, Cavalier E, Nkodila A, Makulo JRR, Mokoli VM, Lepira FB, Nseka NM, Krzesinski J, Sumaili EK, Delanaye P. Performance of creatinine- or cystatin C–based equations to estimate glomerular filtration rate in sub-Saharan African populations. Kidney International 2019;95:1181-9. [DOI: 10.1016/j.kint.2018.11.045] [Cited by in Crossref: 51] [Cited by in F6Publishing: 52] [Article Influence: 12.8] [Reference Citation Analysis]
Number Citing Articles
1 Delanaye P, Schaeffner E, Cozzolino M, Langlois M, Plebani M, Ozben T, Cavalier E. The new, race-free, Chronic Kidney Disease Epidemiology Consortium (CKD-EPI) equation to estimate glomerular filtration rate: is it applicable in Europe? A position statement by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM). Clin Chem Lab Med 2023;61:44-7. [PMID: 36279207 DOI: 10.1515/cclm-2022-0928] [Reference Citation Analysis]
2 Pottel H, Björk J, Rule AD, Ebert N, Eriksen BO, Dubourg L, Vidal-petiot E, Grubb A, Hansson M, Lamb EJ, Littmann K, Mariat C, Melsom T, Schaeffner E, Sundin P, Åkesson A, Larsson A, Cavalier E, Bukabau JB, Sumaili EK, Yayo E, Monnet D, Flamant M, Nyman U, Delanaye P. Cystatin C–Based Equation to Estimate GFR without the Inclusion of Race and Sex. N Engl J Med 2023;388:333-343. [DOI: 10.1056/nejmoa2203769] [Reference Citation Analysis]
3 Motshwari DD, Matshazi DM, Erasmus RT, Kengne AP, Matsha TE, George C. MicroRNAs Associated with Chronic Kidney Disease in the General Population and High-Risk Subgroups-A Systematic Review. Int J Mol Sci 2023;24. [PMID: 36675311 DOI: 10.3390/ijms24021792] [Reference Citation Analysis]
4 Ilori TO, Solarin A, Manmak M, Raji YR, Braimoh R, Kwakyi E, Umeizudike T, Ajepe T, Bolanle O, Ripiye N, Eduful E, Adebile T, Ijeoma C, Mumuni AA, Chern J, Akinpelu M, Ulasi I, Arogundade F, Salako BL, Gbadegesin R, Parekh RS, Dupuis J, Amira CO, Adu D, Anderson CA, Ojo A, Waikar SS. Rationale and Design of the Diet, Chronic Kidney Disease, and Apolipoprotein L1 Study in low and middle-income countries. Kidney International Reports 2023. [DOI: 10.1016/j.ekir.2023.01.019] [Reference Citation Analysis]
5 Delanaye P, Masson I, Maillard N, Pottel H, Mariat C. The New 2021 CKD-EPI Equation Without Race in a European Cohort of Renal Transplanted Patients. Transplantation 2022;106:2443-7. [PMID: 35915546 DOI: 10.1097/TP.0000000000004234] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
6 Sharma A, Sahasrabudhe V, Musib L, Zhang S, Younis I, Kanodia J. Time to Rethink the Current Paradigm for Assessing Kidney Function in Drug Development and Beyond. Clin Pharmacol Ther 2022;112:946-58. [PMID: 34800044 DOI: 10.1002/cpt.2489] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Umeukeje EM, Koonce TY, Kusnoor SV, Ulasi II, Kostelanetz S, Williams AM, Blasingame MN, Epelbaum MI, Giuse DA, Apple AN, Kaur K, González Peña T, Barry D, Eisenstein LG, Nutt CT, Giuse NB. Systematic review of international studies evaluating MDRD and CKD-EPI estimated glomerular filtration rate (eGFR) equations in Black adults. PLoS One 2022;17:e0276252. [PMID: 36256652 DOI: 10.1371/journal.pone.0276252] [Reference Citation Analysis]
8 Zhang Z, Zhu M, Wang Z, Zhang H. Associations between different eGFR estimating equations and mortality for CVD patients: A retrospective cohort study based on the NHANES database. Medicine 2022;101:e30726. [DOI: 10.1097/md.0000000000030726] [Reference Citation Analysis]
9 George C, Echouffo-Tcheugui JB, Jaar BG, Okpechi IG, Kengne AP. The need for screening, early diagnosis, and prediction of chronic kidney disease in people with diabetes in low- and middle-income countries-a review of the current literature. BMC Med 2022;20:247. [PMID: 35915501 DOI: 10.1186/s12916-022-02438-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
10 Fabian J, Kalyesubula R, Mkandawire J, Hansen CH, Nitsch D, Musenge E, Nakanga WP, Prynn JE, Dreyer G, Snyman T, Ssebunnya B, Ramsay M, Smeeth L, Tollman S, Naicker S, Crampin A, Newton R, George JA, Tomlinson L, Banda L, Bello S, Branson K, Chisambo C, Chithodwe O, Kanyenda C, Katundu C, Kayange N, Kayolo M, Kuchipanga V, Kyumba DM, Malunga A, Mvula B, Mweso E, Mwiba E, Ngwira L, Nkhwazi L, Thindwa M, Adams I, Barrow K, Beltramo C, Bouter C, Candy G, Chipungu S, Chitagu T, Dlamini P, Gomez Olive Casas X, Gondwe M, Gumede P, Kabudula C, Kagodora B, Kahn K, Khambule L, Khoza B, Khoza D, Khoza S, Khoza W, Levin J, Lesolang D, Mabuza M, Maher H, Mahime N, Malupi W, Maphatahanyi G, Mashaba N, Mathebula G, Mayindi B, Mdaka B, Mhembere M, Mkansi M, Mnisi R, Mnisi V, Mogane C, Mokoena T, Ndlovu W, Ndlovu Z, Ngobeni F, Ngobeni K, Ngobeni N, Ngobeni T, Ngwarai N, Nkuna D, Ntimane M, Ntimane T, Nxumalo O, Ohene-kwofie D, Sihlangu F, Silubane B, Soo C, Tibane J, Twine R, Ubisi S, Vangu M, Wade AN, Wafawanaka F, Asiki G, Bukenya D, Erone I, Tumwekase G, Kabunga E, Kakande A, Kaleebu P, Kamali A, Kiranda RA, Kushemererwa S, Kwizera M, Nabukenya KJ, Nakimera T, Naluggwa C, Nassimbwa S, Nyirenda M, Nabwato R, Makanga R, Seeley J, Sejjemba NE, Seremba G, Alumadri V, Bird N. Measurement of kidney function in Malawi, South Africa, and Uganda: a multicentre cohort study. The Lancet Global Health 2022;10:e1159-69. [DOI: 10.1016/s2214-109x(22)00239-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
11 Niang A, Luyckx VA. Measuring kidney function: the voice of Africa. The Lancet Global Health 2022;10:e1080-1. [DOI: 10.1016/s2214-109x(22)00279-0] [Reference Citation Analysis]
12 Dang J, Segaux L, Moktefi A, Stehlé T, Kharoubi M, El Karoui K, Rémy P, Grimbert P, Plante-bordeneuve V, Guendouz S, Galat A, Mallet S, Oghina S, Chadha GDS, Zaroui A, Fanen P, Canoui-poitrine F, Damy T, Audard V. Natural course and determinants of short-term kidney function decline in hereditary transthyretin amyloidosis: a French observational study. Amyloid. [DOI: 10.1080/13506129.2022.2098011] [Reference Citation Analysis]
13 Ronny SF, Joaniter NI, Robert K, Bonnie W, Bruce K, James K, Posiano O, Peace B. Comparison of the prevalence of kidney disease by proteinuria and decreased estimated glomerular filtration rate determined using three creatinine-based equations among patients admitted on medical wards of Masaka Regional Referral Hospital in Uganda: a prospective study. BMC Nephrol 2022;23:242. [PMID: 35799132 DOI: 10.1186/s12882-022-02865-w] [Reference Citation Analysis]
14 Carolina Fagundes Silva L, Martins Rocha B, Monteiro Escott G, Franciele Porgere I, Afonso Tochetto L, de Almeida Brondani L, Pinho Silveiro S. Accuracy Evaluation of 2021 Chronic Kidney Disease Epidemiology Collaboration, Full Age Spectrum and European Kidney Function Consortium Equations for Estimating Glomerular Filtration Rate in Type 2 Diabetes Mellitus and Healthy Adults. Clinica Chimica Acta 2022. [DOI: 10.1016/j.cca.2022.06.025] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Rungkitwattanakul D, Chaijamorn W, Han E, Aldhaeefi M. Kidney Function Assessment in African American Patients: A Narrative Review for Pharmacists. Pharmacy (Basel) 2022;10:65. [PMID: 35736781 DOI: 10.3390/pharmacy10030065] [Reference Citation Analysis]
16 Andersson A, Hansson E, Ekström U, Grubb A, Abrahamson M, Jakobsson K, Xu Y. Large difference but high correlation between creatinine and cystatin C estimated glomerular filtration rate in Mesoamerican sugarcane cutters. Occup Environ Med 2022:oemed-2021-107990. [PMID: 35354651 DOI: 10.1136/oemed-2021-107990] [Reference Citation Analysis]
17 Hornum M, Houlind MB, Iversen E, Porrini E, Luis-Lima S, Oturai P, Iversen M, Bredahl P, Carlsen J, Møller CH, Andersen MJ, Feldt-Rasmussen B, Perch M. Estimating Renal Function Following Lung Transplantation. J Clin Med 2022;11:1496. [PMID: 35329822 DOI: 10.3390/jcm11061496] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
18 Tsai JW, Cerdeña JP, Goedel WC, Asch WS, Grubbs V, Mendu ML, Kaufman JS. Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018. EClinicalMedicine 2021;42:101197. [PMID: 34849475 DOI: 10.1016/j.eclinm.2021.101197] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
19 Eneanya ND, Boulware LE, Tsai J, Bruce MA, Ford CL, Harris C, Morales LS, Ryan MJ, Reese PP, Thorpe RJ Jr, Morse M, Walker V, Arogundade FA, Lopes AA, Norris KC. Health inequities and the inappropriate use of race in nephrology. Nat Rev Nephrol 2021. [PMID: 34750551 DOI: 10.1038/s41581-021-00501-8] [Cited by in Crossref: 14] [Cited by in F6Publishing: 18] [Article Influence: 7.0] [Reference Citation Analysis]
20 Delanaye P, Mariat C, Cavalier E, Glassock RJ, Gemenne F, Pottel H. The « race » correction in estimating glomerular filtration rate: an European point of view. Curr Opin Nephrol Hypertens 2021;30:525-30. [PMID: 34456237 DOI: 10.1097/MNH.0000000000000739] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
21 Delanaye P, Gaillard F, van der Weijden J, Mjøen G, Ferhman-Ekholm I, Dubourg L, Ebert N, Schaeffner E, Åkerfeldt T, Goffin K, Couzi L, Garrouste C, Rostaing L, Courbebaisse M, Legendre C, Hourmant M, Kamar N, Cavalier E, Weekers L, Bouquegneau A, de Borst MH, Mariat C, Pottel H, van Londen M. Age-adapted percentiles of measured glomerular filtration in healthy individuals: extrapolation to living kidney donors over 65 years. Clin Chem Lab Med 2021. [PMID: 34670031 DOI: 10.1515/cclm-2021-1011] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
22 Masimango MI, Jadoul M, Binns-roemer EA, David VA, Sumaili EK, Winkler CA, Limou S. APOL1 Renal Risk Variants and Sickle Cell Trait Associations With Reduced Kidney Function in a Large Congolese Population-Based Study. Kidney International Reports 2021. [DOI: 10.1016/j.ekir.2021.09.018] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
23 Mariat C, Mjøen G, Watschinger B, Sever MS, Crespo M, Peruzzi L, Oniscu GC, Abramowicz D, Hilbrands L, Maggiore U. Assessment of Pre-Donation Glomerular Filtration Rate: Going Back To Basics A Position Paper from the DESCARTES Working Group of the ERA-EDTA. Nephrol Dial Transplant 2021:gfab259. [PMID: 34519827 DOI: 10.1093/ndt/gfab259] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
24 Tapper M, McGrowder DA, Dilworth L, Soyibo A. Prospective Comparison of 24-Hour Urine Creatinine Clearance with Estimated Glomerular Filtration Rates in Chronic Renal Disease Patients of African Descent. Medicines (Basel) 2021;8:48. [PMID: 34564090 DOI: 10.3390/medicines8090048] [Reference Citation Analysis]
25 Lenain R, Prouteau C, Hamroun A, Foucher Y, Giral M, Maanaoui M, Hazzan M; Contributors to the CRISTAL National Registry. Association Between Deceased Donor Acute Kidney Injury Assessed Using Baseline Serum Creatinine Back-Estimation and Graft Survival: Results From the French National CRISTAL Registry. Am J Kidney Dis 2021:S0272-6386(21)00770-8. [PMID: 34416353 DOI: 10.1053/j.ajkd.2021.06.022] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
26 Masimango MI, Hermans MP, Malembaka EB, Wallemacq P, Sumaili EK, Fillée C, D'Hoore W, Winkler CA, Limou S, Jadoul M. Impact of rural versus urban setting on kidney markers: a cross-sectional study in South-Kivu, DRCongo. BMC Nephrol 2021;22:234. [PMID: 34172013 DOI: 10.1186/s12882-021-02431-w] [Reference Citation Analysis]
27 Atta MG, Zook K, Brown TT, Vaidya D, Tao X, Maier P, Schwartz GJ, Lucas GM. Racial Adjustment Adversely Affects Glomerular Filtration Estimates in Black Americans Living with HIV. J Am Soc Nephrol 2021;32:2143-7. [PMID: 34140402 DOI: 10.1681/ASN.2021030311] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
28 Shi J, Lindo EG, Baird GS, Young B, Ryan M, Jefferson JA, Mehrotra R, Mathias PC, Hoofnagle AN. Calculating estimated glomerular filtration rate without the race correction factor: Observations at a large academic medical system. Clin Chim Acta 2021;520:16-22. [PMID: 34052206 DOI: 10.1016/j.cca.2021.05.022] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 2.5] [Reference Citation Analysis]
29 Niang A, Faye M, Ould Lemrabott AT, Faye M, Seck SM, Cisse MM, Ka EHF, Diouf B. [Nephrology in Sub-saharan Africa: Past, present, future]. Nephrol Ther 2021;17S:S37-44. [PMID: 33910696 DOI: 10.1016/j.nephro.2020.02.015] [Reference Citation Analysis]
30 Currin S, Gondwe M, Mayindi N, Chipungu S, Khoza B, Khambule L, Snyman T, Tollman S, Fabian J, George J; ARK Consortium. Evaluating chronic kidney disease in rural South Africa: comparing estimated glomerular filtration rate using point-of-care creatinine to iohexol measured GFR. Clin Chem Lab Med 2021;59:1409-20. [PMID: 33711217 DOI: 10.1515/cclm-2020-1882] [Reference Citation Analysis]
31 Ebert N, Bevc S, Bökenkamp A, Gaillard F, Hornum M, Jager KJ, Mariat C, Eriksen BO, Palsson R, Rule AD, van Londen M, White C, Schaeffner E. Assessment of kidney function: clinical indications for measured GFR. Clin Kidney J 2021;14:1861-70. [PMID: 34345408 DOI: 10.1093/ckj/sfab042] [Cited by in Crossref: 12] [Cited by in F6Publishing: 16] [Article Influence: 6.0] [Reference Citation Analysis]
32 Zhou LY, Yin WJ, Zhao J, Zhang BK, Hu C, Liu K, Wang JL, Zhou G, Chen LH, Zuo SR, Xie YL, Zuo XC. A Novel Creatinine-Based Equation to Estimate Glomerular Filtration Rate in Chinese Population With Chronic Kidney Disease: Implications for DOACs Dosing in Atrial Fibrillation Patients. Front Pharmacol 2021;12:615953. [PMID: 33679397 DOI: 10.3389/fphar.2021.615953] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
33 Delanaye P, Mariat C. Comparing Multiple-Biomarker Panels for Estimating GFR With Estimating Equations Without a Coefficient Distinguishing Black Individuals From Persons of Other Groups. Am J Kidney Dis 2021;77:823-4. [PMID: 33571580 DOI: 10.1053/j.ajkd.2020.12.016] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
34 Wang Y, Levey AS, Inker LA, Jessani S, Bux R, Samad Z, Khan AR, Karger AB, Allen JC, Jafar TH. Performance and Determinants of Serum Creatinine and Cystatin C-Based GFR Estimating Equations in South Asians. Kidney Int Rep 2021;6:962-75. [PMID: 33912746 DOI: 10.1016/j.ekir.2021.01.005] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
35 Sumaili EK, Ekulu PM, Pakasa NM, Tshala-katumbay D, Nseka NM. Nephrology in the Democratic Republic of the Congo. Nephrology Worldwide 2021. [DOI: 10.1007/978-3-030-56890-0_3] [Reference Citation Analysis]
36 Inker LA, Couture SJ, Tighiouart H, Abraham AG, Beck GJ, Feldman HI, Greene T, Gudnason V, Karger AB, Eckfeldt JH, Kasiske BL, Mauer M, Navis G, Poggio ED, Rossing P, Shlipak MG, Levey AS; CKD-EPI GFR Collaborators. A New Panel-Estimated GFR, Including β2-Microglobulin and β-Trace Protein and Not Including Race, Developed in a Diverse Population. Am J Kidney Dis 2021;77:673-683.e1. [PMID: 33301877 DOI: 10.1053/j.ajkd.2020.11.005] [Cited by in Crossref: 28] [Cited by in F6Publishing: 29] [Article Influence: 9.3] [Reference Citation Analysis]
37 Kuppachi S, Norman SP, Lentine KL, Axelrod DA. Using race to estimate glomerular filtration and its impact in kidney transplantation. Clin Transplant 2021;35:e14136. [PMID: 33232529 DOI: 10.1111/ctr.14136] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
38 Delanaye P, Pottel H. Estimating Glomerular Filtration Rate in African American Individuals. JAMA Intern Med 2020;180:1549. [DOI: 10.1001/jamainternmed.2020.2352] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
39 Holness JL, Brink A, Davids MR, Warwick JM. Estimated glomerular filtration rate in children: adapting existing equations for a specific population. Pediatr Nephrol 2021;36:669-83. [PMID: 32995921 DOI: 10.1007/s00467-020-04770-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
40 Ebert N, Shlipak MG. Cystatin C is ready for clinical use. Current Opinion in Nephrology & Hypertension 2020;29:591-8. [DOI: 10.1097/mnh.0000000000000638] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 5.7] [Reference Citation Analysis]
41 Peer N, George J, Lombard C, Steyn K, Levitt N, Kengne AP. Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa. BMC Nephrol 2020;21:372. [PMID: 32854641 DOI: 10.1186/s12882-020-02018-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
42 Rocha AD, Garcia S, Santos AB, Eduardo JCC, Mesquita CT, Lugon JR, Strogoff-de-Matos JP. No Race-Ethnicity Adjustment in CKD-EPI Equations Is Required for Estimating Glomerular Filtration Rate in the Brazilian Population. Int J Nephrol 2020;2020:2141038. [PMID: 32733708 DOI: 10.1155/2020/2141038] [Cited by in Crossref: 9] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
43 Masimango MI, Sumaili EK, Wallemacq P, Malembaka EB, Hermans MP, Fillée C, D'Hoore W, Winkler CA, Limou S, Jadoul M. Prevalence and Risk Factors of CKD in South Kivu, Democratic Republic of Congo: A Large-Scale Population Study. Kidney Int Rep 2020;5:1251-60. [PMID: 32775824 DOI: 10.1016/j.ekir.2020.05.028] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
44 Levey AS, Titan SM, Powe NR, Coresh J, Inker LA. Kidney Disease, Race, and GFR Estimation. Clin J Am Soc Nephrol 2020;15:1203-12. [PMID: 32393465 DOI: 10.2215/CJN.12791019] [Cited by in Crossref: 92] [Cited by in F6Publishing: 105] [Article Influence: 30.7] [Reference Citation Analysis]
45 Delanaye P, Dubourg L, Flamant M, Yayo E, Bukabau JB, Vidal-Petiot E, Lemoine S, Cavalier E, Schaeffner E, Monnet D, Sumaili EK, Ebert N, Pottel H. Comparison of Early-Compartment Correction Equations for GFR Measurements. Kidney Int Rep 2020;5:1079-81. [PMID: 32647768 DOI: 10.1016/j.ekir.2020.04.015] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
46 Claisse G, Gaillard F, Mariat C. Living Kidney Donor Evaluation. Transplantation 2020;104:2487-96. [PMID: 32229773 DOI: 10.1097/TP.0000000000003242] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
47 Muiru AN, Charlebois ED, Balzer LB, Kwarisiima D, Elly A, Black D, Okiror S, Kabami J, Atukunda M, Snyman K, Petersen M, Kamya M, Havlir D, Estrella MM, Hsu CY. The epidemiology of chronic kidney disease (CKD) in rural East Africa: A population-based study. PLoS One 2020;15:e0229649. [PMID: 32130245 DOI: 10.1371/journal.pone.0229649] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
48 Kalyesubula R, Fabian J, Nakanga W, Newton R, Ssebunnya B, Prynn J, George J, Wade AN, Seeley J, Nitsch D, Hansen C, Nyirenda M, Smeeth L, Naicker S, Crampin AC, Tomlinson LA. How to estimate glomerular filtration rate in sub-Saharan Africa: design and methods of the African Research into Kidney Diseases (ARK) study. BMC Nephrol 2020;21:20. [PMID: 31941441 DOI: 10.1186/s12882-020-1688-0] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis]
49 Zhou H, Yang M, He X, Xu N. eGFR, cystatin C and creatinine in shrunken pore syndrome. Clinica Chimica Acta 2019;498:1-5. [DOI: 10.1016/j.cca.2019.08.001] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
50 Levey AS, Inker LA. Improving glomerular filtration rate estimation. Kidney Int 2019;95:1017-9. [PMID: 31010474 DOI: 10.1016/j.kint.2019.01.016] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
51 Ahmed SB, Dumanski SM. Why Do Patients With Well-Controlled Vascular Risk Factors Develop Progressive Chronic Kidney Disease? Canadian Journal of Cardiology 2019;35:1170-80. [DOI: 10.1016/j.cjca.2019.06.033] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
52 Amadi CE, Mbakwem AC, Kushimo OA, Ajuluchukwu JN, Akinkunmi M. Prevalence of positive chronic kidney Disease screening in professional male long haul drivers at risk of cardiovascular Disease in Lagos, Nigeria: a cross-section study. BMC Public Health 2019;19:1032. [PMID: 31370832 DOI: 10.1186/s12889-019-7328-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
53 Stehlé T, El Karoui K, Sakka M, Ismail A, Matignon M, Grimbert P, Canoui-Poitrine F, Prié D, Audard V. Creatinine clearance after cimetidine administration in a new short procedure: comparison with plasma and renal clearances of iohexol. Clin Kidney J 2020;13:587-96. [PMID: 32905173 DOI: 10.1093/ckj/sfz087] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]