A Systematic Review of Screening Tests for Chronic Kidney Disease: An Accuracy Analysis

Authors

  • Mahmood Yousefi 7. Department of Health Economics, Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
  • Fatemeh Keshvari-Shad 1. Department of Health Economics, School of Management and Medical Informatics, Tabriz University of Medical Sceinecs, Tabriz, Iran
  • Sakineh Hajebrahimi 2. Research Center for Evidence Based Medicine, Faculty of Medicine, Urology Department, Tabriz University of Medical Sciences, Tabriz, Iran
  • Maria Pilar Laguna Pes 3. Department of Urology Istanbul Medipol University Istanbul, Turkey
  • Alireza Mahboub-Ahari 4. Department of Health Economics, Iranian Evidence-Based Medicine Center of Excellence, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
  • Mohammad Nouri 5. Department of Biochemistry and Clinical Laboratories, Tabriz University of Medical Sciences, Tabriz, Iran
  • Farshad Seyednejad 6. Department of Radiation Oncology, Madani Hospital, Tabriz Medical University, Tabriz, Iran

DOI:

https://doi.org/10.31661/gmj.v9i.1573

Keywords:

Chronic Kidney Disease; Screening; Sensitivity; Specificity; Systematic Review

Abstract

This systematic review was conducted to assess the diagnostic accuracy of chronic kidney disease screening tests in the general population. MEDLINE, EMBASE, Web of Science, Scopus, The Cochrane Library and ProQuest databases were searched for English-language publications up to November 2016. Two reviewers independently screened studies and extracted study data in standardized tables. Methodological quality was assessed using the QUADAS-2 tool. Sensitivity and specificity of all available screening methods were identified through included studies. Ten out of 1349 screened records included for final analysis. Sensitivities of the dipstick test with a cutoff value of trace were ranged from 37.1% to 69.4% and specificities from 93.7% to 97.3% for the detection of ACR>30 mg/g. The diagnostic sensitivities of the UAC>10 mg/dL testing was shown to vary from 40% to 87%, and specificities ranged from 75% to 96%. While the sensitivities of ACR were fluctuating between 74% and 90%, likewise the specificities were between 77% and 88%. Sensitivities for C-G, Grubb and Larsson equations were 98.9%, 86.2%, and 70.1% respectively. In the meantime the study showed specificities of 84.8%, 84.2% and 90.5% respectively for these equations. Individual studies were highly heterogeneous in terms of target populations, type of screening tests, thresholds used to detect CKD and variations in design. Results pointed to the superiority of UAC and dipstick over the other tests in terms of all parameters involved. The diversity of methods and thresholds for detection of CKD, necessitate considering the cost parameter along with the effectiveness of tests to scale-up an efficient strategy. [GMJ.2020;9:e1573]

References

Hill NR, Fatoba ST, Oke JL, Hirst JA, O'Callaghan CA, Lasserson DS et al. Global prevalence of chronic kidney disease-a systematic review and meta-analysis. PloS one. 2016;11(7):e0158765. https://doi.org/10.1371/journal.pone.0158765PMid:27383068 PMCid:PMC4934905 Ene-Iordache B, Perico N, Bikbov B, Carminati S, Remuzzi A, Perna A et al. Chronic kidney disease and cardiovascular risk in six regions of the world (ISN-KDDC): a cross-sectional study. The Lancet Global Health. 2016;4(5):e307-e19. https://doi.org/10.1016/S2214-109X(16)00071-1 Essue BM, Wong G, Chapman J, Li Q, Jan S. How are patients managing with the costs of care for chronic kidney disease in Australia? A cross-sectional study. BMC nephrology. 2013;14(1):5. https://doi.org/10.1186/1471-2369-14-5PMid:23305212 PMCid:PMC3698195 Levey AS, Coresh J, Balk E, Kausz AT, Levin A, Steffes MW et al. National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Annals of internal medicine. 2003;139(2):137-47. https://doi.org/10.7326/0003-4819-139-2-200307150-00013PMid:12859163 Jaar BG, Khatib R, Plantinga L, Boulware LE, Powe NR. Principles of screening for chronic kidney disease. Clinical Journal of the American Society of Nephrology. 2008;3(2):601-9. https://doi.org/10.2215/CJN.02540607PMid:18032791 PMCid:PMC6631080 Saunders MR, Cifu A, Vela M. Screening for chronic kidney disease. Jama. 2015;314(6):615-6. https://doi.org/10.1001/jama.2015.9425PMid:26262800 PMCid:PMC4813784 Powe NR, Boulware LE. Population-based screening for CKD. American Journal of Kidney Diseases. 2009;53(3):S64-S70. https://doi.org/10.1053/j.ajkd.2008.07.050PMid:19231763 PMCid:PMC2681232 Levey AS, Becker C, Inker LA. Glomerular filtration rate and albuminuria for detection and staging of acute and chronic kidney disease in adults: a systematic review. Jama. 2015;313(8):837-46. https://doi.org/10.1001/jama.2015.0602PMid:25710660 PMCid:PMC4410363 Mula-Abed W-AS, Al Rasadi K, Al-Riyami D. Estimated glomerular filtration rate (eGFR): a serum creatinine-based test for the detection of chronic kidney disease and its impact on clinical practice. Oman medical journal. 2012;27(2):108. https://doi.org/10.5001/omj.2012.23PMid:22496934 PMCid:PMC3321332 Vassalotti JA, Centor R, Turner BJ, Greer RC, Choi M, Sequist TD. Practical approach to detection and management of chronic kidney disease for the primary care clinician. The American journal of medicine. 2016;129(2):153-62. e7. https://doi.org/10.1016/j.amjmed.2015.08.025PMid:26391748 Levey A, Atkins R, Coresh J, Cohen E, Collins A, Eckardt K-U et al. Chronic kidney disease as a global public health problem: approaches and initiatives-a position statement from Kidney Disease Improving Global Outcomes. Kidney international. 2007;72(3):247-59. https://doi.org/10.1038/sj.ki.5002343PMid:17568785 Stevens LA, Levey AS. Current status and future perspectives for CKD testing. American Journal of Kidney Diseases. 2009;53(3):S17-S26. https://doi.org/10.1053/j.ajkd.2008.07.047PMid:19231757 Qaseem A, Hopkins RH, Sweet DE, Starkey M, Shekelle P. Screening, monitoring, and treatment of stage 1 to 3 chronic kidney disease: a clinical practice guideline from the American College of Physicians. Annals of internal medicine. 2013;159(12):835-47. https://doi.org/10.7326/0003-4819-159-12-201312170-00726PMid:24145991 Inker LA, Astor BC, Fox CH, Isakova T, Lash JP, Peralta CA et al. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. American Journal of Kidney Diseases. 2014;63(5):713-35. https://doi.org/10.1053/j.ajkd.2014.01.416PMid:24647050 Palmer AJ, Valentine WJ, Chen R, Mehin N, Gabriel S, Bregman B et al. A health economic analysis of screening and optimal treatment of nephropathy in patients with type 2 diabetes and hypertension in the USA. Nephrology Dialysis Transplantation. 2008;23(4):1216-23. https://doi.org/10.1093/ndt/gfn082PMid:18359872 Bello AK, Nwankwo E, El Nahas AM. Prevention of chronic kidney disease: a global challenge. Kidney International. 2005;68:S11-S7. https://doi.org/10.1111/j.1523-1755.2005.09802.xPMid:16108964 Yousefi M, Najafi S, Ghaffari S, Mahboub-Ahari A, Ghaderi H. Comparison of SF-6D and EQ-5D scores in patients with breast cancer. Iranian Red Crescent Medical Journal. 2016;18(5):e23556. https://doi.org/10.5812/ircmj.23556 Yousefi M, Sheikhrobat B, Najafi S, Ghaffari S, Ghaderi H, Memarzadeh SE et al. Mapping catquest scores onto EQ-5D utility values in patients with cataract disease. Iranian Red Crescent Medical Journal. 2016;19(5):e21928. https://doi.org/10.5812/ircmj.21928 Levey AS, De Jong PE, Coresh J, Nahas ME, Astor BC, Matsushita K et al. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report. Kidney international. 2011;80(1):17-28. https://doi.org/10.1038/ki.2010.483PMid:21150873 Polaris JJ, Katz JN. "Appropriate" diagnostic testing: supporting diagnostics with evidence-based medicine and shared decision making. BMC research notes. 2014;7(1):922. https://doi.org/10.1186/1756-0500-7-922PMid:25515327 PMCid:PMC4301652 McInnes MD, Moher D, Thombs BD, McGrath TA, Bossuyt PM, Clifford T et al. Preferred reporting items for a systematic review and meta-analysis of diagnostic test accuracy studies: the PRISMA-DTA statement. Jama. 2018;319(4):388-96. https://doi.org/10.1001/jama.2017.19163PMid:29362800 Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Annals of internal medicine. 2011;155(8):529-36. https://doi.org/10.7326/0003-4819-155-8-201110180-00009PMid:22007046 Lalkhen AG, McCluskey A. Clinical tests: sensitivity and specificity. Continuing Education in Anaesthesia Critical Care & Pain. 2008;8(6):221-3. https://doi.org/10.1093/bjaceaccp/mkn041 CfRa D. CRD's guidance for undertaking reviews in health care. York Publishing Services Ltd. 2009;32. Park JI, Baek H, Kim BR, Jung HH. Comparison of urine dipstick and albumin: creatinine ratio for chronic kidney disease screening: A population-based study. PloS one. 2017;12(2):e0171106. https://doi.org/10.1371/journal.pone.0171106PMid:28151999 PMCid:PMC5289498 Konta T, Hao Z, Takasaki S, Abiko H, Ishikawa M, Takahashi T et al. Clinical utility of trace proteinuria for microalbuminuria screening in the general population. Clinical and experimental nephrology. 2007;11(1):51-5. https://doi.org/10.1007/s10157-006-0458-zPMid:17384998 Gansevoort RT, Verhave JC, Hillege HL, Burgerhof JG, Bakker SJ, De Zeeuw D et al. The validity of screening based on spot morning urine samples to detect subjects with microalbuminuria in the general population. Kidney International. 2005;67:S28-S35. https://doi.org/10.1111/j.1523-1755.2005.09408.xPMid:15752236 Jafar TH, Chaturvedi N, Hatcher J, Levey AS. Use of albumin creatinine ratio and urine albumin concentration as a screening test for albuminuria in an Indo-Asian population. Nephrology Dialysis Transplantation. 2007;22(8):2194-200. https://doi.org/10.1093/ndt/gfm114PMid:17405790 Chang C-C, Su M-J, Ho J-L, Tsai Y-H, Tsai W-T, Lee S-J et al. The efficacy of semi-quantitative urine protein-to-creatinine (P/C) ratio for the detection of significant proteinuria in urine specimens in health screening settings. SpringerPlus. 2016;5(1):1791. https://doi.org/10.1186/s40064-016-3389-5PMid:27795933 PMCid:PMC5063823 Graziani MS, Gambaro G, Mantovani L, Sorio A, Yabarek T, Abaterusso C et al. Diagnostic accuracy of a reagent strip for assessing urinary albumin excretion in the general population. Nephrology Dialysis Transplantation. 2008;24(5):1490-4. https://doi.org/10.1093/ndt/gfn639PMid:19037085 Xue N, Zhang X, Teng J, Fang Y, Ding X. A Cross-Sectional Study on the Use of Urinalysis for Screening Early-Stage Renal Insufficiency. Nephron. 2016;132(4):335-41. https://doi.org/10.1159/000444650PMid:26959373 Wetmore JB, Palsson R, Belmont JM, Sigurdsson G, Franzson L, Indridason OS. Discrepancies between creatinine-and cystatin C-based equations: implications for identification of chronic kidney disease in the general population. Scandinavian journal of urology and nephrology. 2010;44(4):242-50. https://doi.org/10.3109/00365591003709450PMid:20367222 van der Velde M, de Jong PE, Gansevoort RT. Comparison of the yield of different screening approaches to detect chronic kidney disease. Nephrology Dialysis Transplantation. 2010;25(10):3222-30. https://doi.org/10.1093/ndt/gfq156PMid:20335273 White SL, Yu R, Craig JC, Polkinghorne KR, Atkins RC, Chadban SJ. Diagnostic accuracy of urine dipsticks for detection of albuminuria in the general community. American journal of kidney diseases. 2011;58(1):19-28. https://doi.org/10.1053/j.ajkd.2010.12.026PMid:21411199 Moyer VA. Screening for chronic kidney disease: US Preventive Services Task Force recommendation statement. Annals of internal medicine. 2012;157(8):567-70. https://doi.org/10.7326/0003-4819-157-8-201210160-00533PMid:22928170 Levey AS, Eckardt K-U, Tsukamoto Y, Levin A, Coresh J, Rossert J et al. Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney international. 2005;67(6):2089-100. https://doi.org/10.1111/j.1523-1755.2005.00365.xPMid:15882252 Kellum JA, Bellomo R, Ronco C. Definition and classification of acute kidney injury. Nephron Clinical Practice. 2008;109(4):c182-c7. https://doi.org/10.1159/000142926PMid:18802365 Arici M. Clinical assessment of a patient with chronic kidney disease. Management of Chronic Kidney Disease. Springer; 2014. p. 15-28. https://doi.org/10.1007/978-3-642-54637-2_2 Couser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney international. 2011;80(12):1258-70. https://doi.org/10.1038/ki.2011.368PMid:21993585 Fisher H, Hsu C-y, Vittinghoff E, Lin F, Bansal N. Comparison of associations of urine protein-creatinine ratio versus albumin-creatinine ratio with complications of CKD: a cross-sectional analysis. American Journal of Kidney Diseases. 2013;62(6):1102-8. https://doi.org/10.1053/j.ajkd.2013.07.013PMid:24041612 PMCid:PMC3840083 Sam R, Shaykh M, Pegoraro A, Khalili V, Hristea I, Singh A et al. The significance of trace proteinuria. American journal of nephrology. 2003;23(6):438-41. https://doi.org/10.1159/000074535PMid:14583662 Patel HP. The abnormal urinalysis. Pediatric Clinics. 2006;53(3):325-37. https://doi.org/10.1016/j.pcl.2006.02.004PMid:16716783 Iseki K, Ikemiya Y, Iseki C, Takishita S. Proteinuria and the risk of developing end-stage renal disease. Kidney international. 2003;63(4):1468-74. https://doi.org/10.1046/j.1523-1755.2003.00868.xPMid:12631363 Morris R, Riley R, Doug M, Deeks J, Kilby M. Diagnostic accuracy of spot urinary protein and albumin to creatinine ratios for detection of significant proteinuria or adverse pregnancy outcome in patients with suspected pre-eclampsia: systematic review and meta-analysis. Bmj. 2012;345:e4342. https://doi.org/10.1136/bmj.e4342PMid:22777026 PMCid:PMC3392077 Wahbeh AM, Ewais MH, Elsharif ME. Comparison of 24-hour urinary protein and protein-to-creatinine ratio in the assessment of proteinuria. Saudi Journal of Kidney Diseases and Transplantation. 2009;20(3):443. Wu H-Y, Peng Y-S, Chiang C-K, Huang J-W, Hung K-Y, Wu K-D et al. Diagnostic performance of random urine samples using albumin concentration vs ratio of albumin to creatinine for microalbuminuria screening in patients with diabetes mellitus: a systematic review and meta-analysis. JAMA internal medicine. 2014;174(7):1108-15. https://doi.org/10.1001/jamainternmed.2014.1363PMid:24798807 Nahas ME. The global challenge of chronic kidney disease. Kidney international. 2005;68(6):2918-29. https://doi.org/10.1111/j.1523-1755.2005.00774.xPMid:16316385 Komenda P, Ferguson TW, Macdonald K, Rigatto C, Koolage C, Sood MM et al. Cost-effectiveness of primary screening for CKD: a systematic review. American Journal of Kidney Diseases. 2014;63(5):789-97. https://doi.org/10.1053/j.ajkd.2013.12.012PMid:24529536 Ferguson TW, Tangri N, Tan Z, James MT, Lavallee BD, Chartrand CD et al. Screening for chronic kidney disease in Canadian indigenous peoples is cost-effective. Kidney international. 2017;92(1):192-200. https://doi.org/10.1016/j.kint.2017.02.022PMid:28433383 Flood D, Garcia P, Douglas K, Hawkins J, Rohloff P. Screening for chronic kidney disease in a community-based diabetes cohort in rural Guatemala: a cross-sectional study. BMJ open. 2018;8(1):e019778. https://doi.org/10.1136/bmjopen-2017-019778PMid:29358450 PMCid:PMC5781190 Fink HA, Ishani A, Taylor BC, Greer NL, MacDonald R, Rossini D et al. Screening for, monitoring, and treatment of chronic kidney disease stages 1 to 3: a systematic review for the US Preventive Services Task Force and for an American College of Physicians Clinical Practice Guideline. Annals of internal medicine. 2012;156(8):570-81. https://doi.org/10.7326/0003-4819-156-8-201204170-00008 Samal L, Linder JA. The primary care perspective on routine urine dipstick screening to identify patients with albuminuria. Clinical journal of the American Society of Nephrology. 2012:CJN. 12681211. https://doi.org/10.2215/CJN.12681211PMid:22917702 Parikh R, Mathai A, Parikh S, Sekhar GC, Thomas R. Understanding and using sensitivity, specificity and predictive values. Indian journal of ophthalmology. 2008;56(1):45. https://doi.org/10.4103/0301-4738.37595PMid:18158403 PMCid:PMC2636062 Van Stralen KJ, Stel VS, Reitsma JB, Dekker FW, Zoccali C, Jager KJ. Diagnostic methods I: sensitivity, specificity, and other measures of accuracy. Kidney international. 2009;75(12):1257-63. https://doi.org/10.1038/ki.2009.92PMid:19340091 Leeflang MM, Rutjes AW, Reitsma JB, Hooft L, Bossuyt PM. Variation of a test's sensitivity and specificity with disease prevalence. Canadian Medical Association Journal. 2013:cmaj. 121286. https://doi.org/10.1503/cmaj.121286PMid:23798453 PMCid:PMC3735771 Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological). 1995;57(1):289-300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x Boulware LE, Jaar BG, Tarver-Carr ME, Brancati FL, Powe NR. Screening for proteinuria in US adults: a cost-effectiveness analysis. Jama. 2003;290(23):3101-14. https://doi.org/10.1001/jama.290.23.3101PMid:14679273

Published

2020-06-22

How to Cite

Yousefi, M., Keshvari-Shad, F., Hajebrahimi, S., Laguna Pes, M. P., Mahboub-Ahari, A., Nouri, M., & Seyednejad, F. (2020). A Systematic Review of Screening Tests for Chronic Kidney Disease: An Accuracy Analysis: . Galen Medical Journal, 9, e1573. https://doi.org/10.31661/gmj.v9i.1573

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Section

Review Article