{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T15:04:01Z","timestamp":1784732641112,"version":"3.55.0"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7,22]]},"DOI":"10.7759\/cureus.113155","type":"journal-article","created":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T14:33:47Z","timestamp":1784730827000},"source":"Crossref","is-referenced-by-count":0,"title":["Under-Recognition of Kidney Disease in Cause-of-Death Certification: An Adjudication-Based Study With Development of an Exploratory Prediction Model"],"prefix":"10.7759","author":[{"given":"Anish Kumar","family":"Gupta","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Narinder Pal","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dinesh","family":"Khullar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sourabh","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sonu","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaurav","family":"Minocha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neeru P","family":"Aggarwal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(13)60687-X","article-title":"Chronic kidney disease: global dimension and perspectives","volume":"382","author":"Jha V","year":"2013","unstructured":"Jha V, Garcia-Garcia G, Iseki K, et al.. Chronic kidney disease: global dimension and perspectives. Lancet. 2013, 382:260-72. 10.1016\/S0140-6736(13)60687-X","journal-title":"Lancet"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(25)01853-7","article-title":"Global, regional, and national burden of chronic kidney disease in adults, 1990-2023, and its attributable risk factors: a systematic analysis for the Global Burden of Disease Study 2023","volume":"22","author":"GBD 2023 Chronic Kidney Disease Collaborators","year":"2025","unstructured":"GBD 2023 Chronic Kidney Disease Collaborators. Global, regional, and national burden of chronic kidney disease in adults, 1990-2023, and its attributable risk factors: a systematic analysis for the Global Burden of Disease Study 2023. Lancet. 2025, 22:2461-82. 10.1016\/S0140-6736(25)01853-7","journal-title":"Lancet"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.kint.2023.10.018","article-title":"KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease","volume":"105","author":"Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group","year":"2024","unstructured":"Kidney Disease. Improving Global Outcomes (KDIGO) CKD Work Group: KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. 2024, 105:S117-314. 10.1016\/j.kint.2023.10.018","journal-title":"Kidney Int"},{"key":"ref4","article-title":"Kidney disease: improving global outcomes (KDIGO) acute kidney injury work group","volume":"2","year":"2012","unstructured":"Kidney disease. improving global outcomes (KDIGO) acute kidney injury work group. Kidney Inter Suppl. 2012, 2:1-138.","journal-title":"Kidney Inter Suppl"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.g7594","article-title":"Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement","volume":"350","author":"Collins GS","year":"2015","unstructured":"Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ. 2015, 350:g7594. 10.1136\/bmj.g7594","journal-title":"BMJ"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.39335.541782.AD","article-title":"Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies","volume":"335","author":"von Elm E","year":"2007","unstructured":"von Elm E, Altman DG, Egger M, Pocock SJ, G\u00f8tzsche PC, Vandenbroucke JP. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ. 2007, 335:806-8. 10.1136\/bmj.39335.541782.AD","journal-title":"BMJ"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41581-024-00820-6","article-title":"Chronic kidney disease and the global public health agenda: an international consensus","volume":"20","author":"Francis A","year":"2024","unstructured":"Francis A, Harhay MN, Ong AC, et al.. Chronic kidney disease and the global public health agenda: an international consensus. Nat Rev Nephrol. 2024, 20:473-85. 10.1038\/s41581-024-00820-6","journal-title":"Nat Rev Nephrol"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.0030018","article-title":"Prospective study of one million deaths in India: rationale, design, and validation results","volume":"3","author":"Jha P","year":"2006","unstructured":"Jha P, Gajalakshmi V, Gupta PC, Kumar R, Mony P, Dhingra N, Peto R. Prospective study of one million deaths in India: rationale, design, and validation results. PLoS Med. 2006, 3:e18. 10.1371\/journal.pmed.0030018","journal-title":"PLoS Med"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2369-10-4","article-title":"Prevalence of low glomerular filtration rate, proteinuria and associated risk factors in North India using Cockcroft-Gault and modification of diet in renal disease equation: an observational, cross-sectional study","volume":"10","author":"Singh NP","year":"2009","unstructured":"Singh NP, Ingle GK, Saini VK, Jami A, Beniwal P, Lal M, Meena GS. Prevalence of low glomerular filtration rate, proteinuria and associated risk factors in North India using Cockcroft-Gault and modification of diet in renal disease equation: an observational, cross-sectional study. BMC Nephrol. 2009, 10:4. 10.1186\/1471-2369-10-4","journal-title":"BMC Nephrol"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1097\/01.hjh.0000548794.78298.14","article-title":"Hypertension and low estimated glomerular filtration rate (eGFR) - screening for CKD risk factor","volume":"36","author":"Kumar A","year":"2018","unstructured":"Kumar A, Ruby B, Taposh S, Pal SN. Hypertension and low estimated glomerular filtration rate (eGFR) - screening for CKD risk factor. J Hypertens. 2018, 36:e195. 10.1097\/01.hjh.0000548794.78298.14","journal-title":"J Hypertens"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1081\/jdi-120039516","article-title":"End-stage renal care in developing countries: the India experience","volume":"26","author":"Jha V","year":"2004","unstructured":"Jha V. End-stage renal care in developing countries: the India experience. Ren Fail. 2004, 26:201-8. 10.1081\/jdi-120039516","journal-title":"Ren Fail"},{"key":"ref12","article-title":"Spectrum of renal diseases in Indian adults","volume":"48","author":"Agarwal SK","year":"2000","unstructured":"Agarwal SK, Dash SC. Spectrum of renal diseases in Indian adults. J Assoc Physicians India. 2000, 48:594-600.","journal-title":"J Assoc Physicians India"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1016\/S0140-6736(17)32804-0","article-title":"Nations within nation: variations in epidemiological transition across the states of India, 1990-2016 in the Global Burden of Disease Study","volume":"390","author":"Dandona L","year":"2017","unstructured":"Dandona L, Dandona R, G Anil Kumar, et al.. Nations within nation: variations in epidemiological transition across the states of India, 1990-2016 in the Global Burden of Disease Study. Lancet. 2017, 390:2437-60.","journal-title":"Lancet"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.2471\/BLT.05.029124","article-title":"Potential and limits of verbal autopsies","volume":"84","author":"Garenne M","year":"2006","unstructured":"Garenne M, Fauveau V. Potential and limits of verbal autopsies. Bull World Health Organ. 2006, 84:164.","journal-title":"Bull World Health Organ"},{"key":"ref15","article-title":"Renal failure deaths and their risk factors in India 2001-13: nationally representative estimates from the Million Death Study","volume":"5","author":"Dare AJ","year":"2017","unstructured":"Dare AJ, Fu SH, Patra J, Rodriguez PS, Thakur JS, Jha P. Renal failure deaths and their risk factors in India 2001-13: nationally representative estimates from the Million Death Study. Lancet Glob Health. 2017, 5:89-95.","journal-title":"Lancet Glob Health"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2004040331","article-title":"A clinical score to predict acute renal failure after cardiac surgery","volume":"16","author":"Thakar CV","year":"2005","unstructured":"Thakar CV, Arrigain S, Worley S, Yared JP, Paganini EP. A clinical score to predict acute renal failure after cardiac surgery. J Am Soc Nephrol. 2005, 16:162-8. 10.1681\/ASN.2004040331","journal-title":"J Am Soc Nephrol"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2004.06.068","article-title":"A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: development and initial validation","volume":"44","author":"Mehran R","year":"2004","unstructured":"Mehran R, Aymong ED, Nikolsky E, et al.. A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: development and initial validation. J Am Coll Cardiol. 2004, 44:1393-9. 10.1016\/j.jacc.2004.06.068","journal-title":"J Am Coll Cardiol"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1081\/jdi-100100868","article-title":"Prediction of acute renal failure by \"bedside formula\" in medical and surgical intensive care patients","volume":"22","author":"Coritsidis GN","year":"2000","unstructured":"Coritsidis GN, Guru K, Ward L, Bashir R, Feinfeld DA, Carvounis CP. Prediction of acute renal failure by \"bedside formula\" in medical and surgical intensive care patients. Ren Fail. 2000, 22:235-44. 10.1081\/jdi-100100868","journal-title":"Ren Fail"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5935\/0101-2800.20150007","article-title":"Predictors of acute kidney injury and mortality in an intensive care unit","volume":"37","author":"Peres LA","year":"2015","unstructured":"Peres LA, Wandeur V, Matsuo T. Predictors of acute kidney injury and mortality in an intensive care unit. J Bras Nefrol. 2015, 37:38-46. 10.5935\/0101-2800.20150007","journal-title":"J Bras Nefrol"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1111\/j.1523-1755.2005.00686.x","article-title":"Identifying critically ill patients at high risk for developing acute renal failure: a pilot study","volume":"68","author":"Chawla LS","year":"2005","unstructured":"Chawla LS, Abell L, Mazhari R, et al.. Identifying critically ill patients at high risk for developing acute renal failure: a pilot study. Kidney Int. 2005, 68:2274-80. 10.1111\/j.1523-1755.2005.00686.x","journal-title":"Kidney Int"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/ki.2013.349","article-title":"Derivation and validation of the renal angina index to improve the prediction of acute kidney injury in critically ill children","volume":"85","author":"Basu RK","year":"2014","unstructured":"Basu RK, Zappitelli M, Brunner L, et al.. Derivation and validation of the renal angina index to improve the prediction of acute kidney injury in critically ill children. Kidney Int. 2014, 85:659-67. 10.1038\/ki.2013.349","journal-title":"Kidney Int"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/ndt\/gfx026","article-title":"A risk prediction score for acute kidney injury in the intensive care unit","volume":"32","author":"Malhotra R","year":"2017","unstructured":"Malhotra R, Kashani KB, Macedo E, et al.. A risk prediction score for acute kidney injury in the intensive care unit. Nephrol Dial Transplant. 2017, 32:814-22. 10.1093\/ndt\/gfx026","journal-title":"Nephrol Dial Transplant"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/507095-under-recognition-of-kidney-disease-in-cause-of-death-certification-an-adjudication-based-study-with-development-of-an-exploratory-prediction-model","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T14:33:48Z","timestamp":1784730828000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/507095-under-recognition-of-kidney-disease-in-cause-of-death-certification-an-adjudication-based-study-with-development-of-an-exploratory-prediction-model"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,22]]},"references-count":22,"URL":"https:\/\/doi.org\/10.7759\/cureus.113155","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7,22]]}}}