The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis
Open accessAbstract
Importance: Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US. Objective: To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes. Design, Setting, and Participants: Individual-participant data meta-analysis of 27 503 140 individuals from 114 global cohorts (eGFR based on creatinine alone) and 720 736 individuals from 20 cohorts (eGFR based on creatinine and cystatin C) and 9 067 753 individuals from 114 cohorts (albuminuria) from 1980 to 2021. Exposures: The Chronic Kidney Disease Epidemiology Collaboration 2021 equations for eGFR based on creatinine alone and eGFR based on creatinine and cystatin C; and albuminuria estimated as urine albumin to creatinine ratio (UACR). Main Outcomes and Measures: The risk of kidney failure requiring replacement therapy, all-cause mortality, cardiovascular mortality, acute kidney injury, any hospitalization, coronary heart disease, stroke, heart failure, atrial fibrillation, and peripheral artery disease. The analyses were performed within each cohort and summarized with random-effects meta-analyses. Results: Within the population using eGFR based on creatinine alone (mean age, 54 years [SD, 17 years]; 51% were women; mean follow-up time, 4.8 years [SD, 3.3 years]), the mean eGFR was 90 mL/min/1.73 m 2 (SD, 22 mL/min/1.73 m 2 ) and the median UACR was 11 mg/g (IQR, 8-16 mg/g). Within the population using eGFR based on creatinine and cystatin C (mean age, 59 years [SD, 12 years]; 53% were women; mean follow-up time, 10.8 years [SD, 4.1 years]), the mean eGFR was 88 mL/min/1.73 m 2 (SD, 22 mL/min/1.73 m 2 ) and the median UACR was 9 mg/g (IQR, 6-18 mg/g). Lower eGFR (whether based on creatinine alone or based on creatinine and cystatin C) and higher UACR were each significantly associated with higher risk for each of the 10 adverse outcomes, including those in the mildest categories of chronic kidney disease. For example, among people with a UACR less than 10 mg/g, an eGFR of 45 to 59 mL/min/1.73 m 2 based on creatinine alone was associated with significantly higher hospitalization rates compared with an eGFR of 90 to 104 mL/min/1.73 m 2 (adjusted hazard ratio, 1.3 [95% CI, 1.2-1.3]; 161 vs 79 events per 1000 person-years; excess absolute risk, 22 events per 1000 person-years [95% CI, 19-25 events per 1000 person-years]). Conclusions and Relevance: In this retrospective analysis of 114 cohorts, lower eGFR based on creatinine alone, lower eGFR based on creatinine and cystatin C, and more severe UACR were each associated with increased rates of 10 adverse outcomes, including adverse kidney outcomes, cardiovascular diseases, and hospitalizations.
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“A large patient-level meta-analysis showed that estimated glomerular filtration rate (eGFR) decline and albuminuria are both associated with increased risk of adverse CV and renal events in the general population78”
From Incretin-based therapies for the treatment of obesity-related diseases (2024) · cites this paper as [78]
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Cites
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,772
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
Self-citationBikbov, B. T., Purcell, C. A., Levey, A. S., Smith, M., Abdoli, A., Abebe, M., Adebayo, O., Afarideh, M., Agarwal, S. K., Agudelo‐Botero, M., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30045-3 · Cited by 7,131
Self-citationNew creatinine- and cystatin C-based equations to estimate GFR without race
Inker, L. A., Eneanya, N. D., Coresh, J., Tighiouart, H., Wang, D., Sang, Y., Crews, D. C., Doria, A., Estrella, M. M., Froissart, M., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2102953 · Cited by 4,695
Self-citationDifferential Diagnosis of Glomerular Disease: A Systematic and Inclusive Approach
Hebert, L. A., Parikh, S. M., Prosek, J. M., Nádasdy, T., & Rovin, B. H. (2013) · American Journal of Nephrology · doi:10.1159/000354390 · Cited by 4,392
Estimating glomerular filtration rate from serum creatinine and cystatin C
Inker, L. A., Schmid, C. H., Tighiouart, H., Eckfeldt, J. H., Feldman, H. I., Greene, T., Kusek, J. W., Manzi, J., Van Lente, F., Zhang, Y. L., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1114248 · Cited by 4,102
Self-citation(2012) · Kidney International Supplements · doi:10.1038/kisup.2012.73 · Cited by 3,325
Levey, A. S., de Jong, P. E., Coresh, J., El Nahas, M., Astor, B. C., Matsushita, K., Gansevoort, R. T., Kasiske, B. L., & Eckardt, K.-U. (2011) · Kidney International · doi:10.1038/ki.2010.483 · Cited by 2,345
Self-citationvan der Velde, M., Matsushita, K., Coresh, J., Astor, B. C., Woodward, M., Levey, A. S., de Jong, P. E., & Gansevoort, R. T. (2011) · Kidney International · doi:10.1038/ki.2010.536 · Cited by 1,082
Self-citationGansevoort, R. T., Matsushita, K., van der Velde, M., Astor, B. C., Woodward, M., Levey, A. S., de Jong, P. E., & Coresh, J. (2011) · Kidney International · doi:10.1038/ki.2010.531 · Cited by 883
Self-citationDelgado, C., Baweja, M., Crews, D. C., Eneanya, N. D., Gadegbeku, C. A., Inker, L. A., Mendu, M. L., Miller, W. G., Moxey-Mims, M. M., Roberts, G. V., et al. (2022) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2021.08.003 · Cited by 783
Self-citationAstor, B. C., Matsushita, K., Gansevoort, R. T., van der Velde, M., Woodward, M., Levey, A. S., de Jong, P. E., & Coresh, J. (2011) · Kidney International · doi:10.1038/ki.2010.550 · Cited by 775
Self-citationCoresh, J., Astor, B. C., McQuillan, G. M., Kusek, J. W., Greene, T., Lente, F. V., & Levey, A. S. (2002) · American Journal of Kidney Diseases · doi:10.1053/ajkd.2002.32765 · Cited by 714
Self-citationDelgado, C., Baweja, M., Crews, D. C., Eneanya, N. D., Gadegbeku, C. A., Inker, L. A., Mendu, M. L., Miller, W. G., Moxey‐Mims, M., Roberts, G. V., et al. (2021) · Journal of the American Society of Nephrology · doi:10.1681/asn.2021070988 · Cited by 442
Self-citationFirst certified reference material for cystatin C in human serum ERM-DA471/IFCC
GRUBB, A. O., Blirup-Jensen, S., Lindström, V., Schmidt, C., Althaus, H., & Zegers, I. (2010) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2010.318 · Cited by 388
Sumida, K., Nadkarni, G. N., Grams, M. E., Sang, Y., Ballew, S. H., Coresh, J., Matsushita, K., Surapaneni, A., Brunskill, N. J., Chadban, S. J., et al. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0529 · Cited by 359
Self-citationEstimated GFR: time for a critical appraisal
Porrini, E., Ruggenenti, P. L., Lima, S. L., Carrara, F., Jiménez, A., de Vries, A. P. J., Torres, A., Gaspari, F., & Remuzzi, G. (2018) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0080-9 · Cited by 328
Cystatin C–Based Equation to Estimate GFR without the Inclusion of Race and Sex
Pottel, H., Björk, J., Rule, A. D., Ebert, N., Eriksen, B. O., Dubourg, L. D., Vidal‐Petiot, E., GRUBB, A. O., Hansson, M. E. A., Lamb, E. J., et al. (2023) · New England Journal of Medicine · doi:10.1056/nejmoa2203769 · Cited by 265
Self-citationShin, J.-I., Chang, A. R., Grams, M. E., Coresh, J., Ballew, S. H., Surapaneni, A., Matsushita, K., Bilo, H. J. G., Carrero, J. J., Chodick, G., et al. (2021) · Hypertension · doi:10.1161/hypertensionaha.121.17323 · Cited by 155
Self-citationUses of GFR and Albuminuria Level in Acute and Chronic Kidney Disease
Levey, A. S., Grams, M. E., & Inker, L. A. (2022) · New England Journal of Medicine · doi:10.1056/nejmra2201153 · Cited by 145
Self-citationFrailty, Kidney Function, and Polypharmacy: The Atherosclerosis Risk in Communities (ARIC) Study
Ballew, S. H., Chen, Y., Daya, N. R., Godino, J., Windham, B. G., McAdams‐DeMarco, M., Coresh, J., Selvin, E., & Grams, M. E. (2016) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2016.08.034 · Cited by 134
Self-citationHow unmeasured muscle mass affects estimated GFR and diagnostic inaccuracy
Nankivell, B. J., Nankivell, L. F. J., Elder, G. J., & Gruenewald, S. M. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100662 · Cited by 113
Résimont, G., Vranken, L., Pottel, H., Jouret, F., Krzesinski, J.-M., Cavalier, E., & Delanaye, P. (2022) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2022-0049 · Cited by 7
Research works printed but not linked: 4
- Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group, 2013, KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease., Kidney Int Suppl, 3, 1
- OptumLabs, 2020, OptumLabs and OptumLabs Data Warehouse: Descriptions and Citation
- US Renal Data System, 2021, 2021 USRDS Annual Data Report: Epidemiology of Kidney Disease in the United States
- National Institute for Health and Care Excellence, 2021, Chronic Kidney Disease: Assessment and Management—National Institute for Health and Care Excellence Guidelines
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Stevens, P. E., Ahmed, S. B., Carrero, J. J., Foster, B., Francis, A., Hall, R. K., Herrington, W. G., Hill, G., Inker, L. A., Kazancıoğlu, R., et al. (2024) · Kidney International · doi:10.1016/j.kint.2023.10.018 · Cited by 8,530
Self-citationDevelopment and validation of the American Heart Association’s PREVENT equations
Khan, S. S., Matsushita, K., Sang, Y., Ballew, S. H., Grams, M. E., Surapaneni, A., Blaha, M. J., Carson, A. P., Chang, A. R., Ciemins, E., et al. (2024) · Circulation · doi:10.1161/circulationaha.123.067626 · Cited by 1,234
Self-citationMartin, S. S., Aday, A. W., Allen, N. B., Almarzooq, Z., Anderson, C. A. M., Arora, P. K., Avery, C. L., Baker-Smith, C. M., Bansal, N., Beaton, A., et al. (2025) · Circulation · doi:10.1161/cir.0000000000001303 · Cited by 1,284
Self-citationMark, P. B., Stafford, L. K., Grams, M. E., Aalruz, H., ElHafeez, S. A., Abdelgalil, A. A., Abdulkader, R. S., Abeywickrama, H. M., Abiodun, O. O., Abramov, D., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01853-7 · Cited by 573
Self-citationLevin, A., Ahmed, S. B., Carrero, J. J., Foster, B. J., Francis, A., Hall, R. K., Herrington, W. G., Hill, G., Inker, L. A., Kazancıoğlu, R., et al. (2024) · Kidney International · doi:10.1016/j.kint.2023.10.016 · Cited by 477
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Metadata
- Authors
- Writing Group for the CKD Prognosis Consortium, Appel, L. J., Grams, M., Woodward, M., Harris, K., Arima, H., Chalmers, J., Yatsuya, H., Tamakoshi, K., Li, Y., Coresh, J., Sang, Y., Matsushita, K., Polkinghorne, K., Chadban, S., Levin, A., Djurdjev, O., Tang, M., Zhang, L., Wang, F., Wang, J., Zhao, M.-H., Schaeffner, E., Ebert, N., Mielke, N., Tonelli, M., Lloyd, A., Sacks, F., Shlipak, M. G., Bansal, N., Sarnak, M., Yamagishi, K., Muraki, I., Shimizu, Y., Iso, H., Fukagawa, M., Maruyama, S., Hamano, T., Fujii, N., Imaizumi, T., Alencar De Pinho, N., Metzger, M., Stengel, B., Hamroun, A., Massy, Z., Jafar, T. H., Jehan, I., Hatcher, J., Chaturvedi, N., Poulter, N., Wheeler, D. C., Landray, M., Anderson, A., Chen, J., Lash, J., Taliercio, J., Yang, P. (., Tuttle, K., Alicic, R., Nicholas, S., Shen, J., Schöttker, B., Stocker, H., Rothenbacher, D., Brenner, H., Levy, D., Hwang, S.-J., Schneider, M. P., Köttgen, A., Meiselbach, H., Eckardt, K.-U., Chang, A. R., Green, J. A., Kirchner, H. L., Singh, G., Sawhney, S., Black, C., Wilde, K., Marks, A., Bell, S., Siddiqui, M., Palmer, C., Pearson, E., Miyazaki, M., Nakayama, M., Yamamoto, T., Yamada, G., Ito, S., Cirillo, M., Wang, A. Y.-M., Wu, H. H.-L., Cheung, H. C., Ngai, V., Tak, T. K., Garg, A. X., McArthur, E., Young, A., Jha, V., Yadav, A. K., Kumar, V., Carson, A. P., Young, B. A., Diamantidis, C., Min, Y.-I., Purnell, T. S., Ishikawa, S., Mieno, M., Yamagata, K., Iseki, K., Asahi, K., Konta, T., Lee, B. J., Brunskill, N. J., Gray, L., Major, R., Medcalf, J., Chodick, G., Melzer Cohen, C., Wetzels, J. F., Blankestijn, P. J., van Zuilen, A. D., Inker, L. A., Levey, A. S., Ix, J., de Boer, I., Katz, R., Kronenberg, F., Kollerits, B., Ritz, E., Nitsch, D., Nadkarni, G. N., Chan, L., Bottinger, E. P., Oh, W., Liu, Z., Zhang, H., Zhang, L., Valdivielso, J. M., Bermudez-Lopez, M., Bozic, M., Caus, M., Diaz-Tocados, J. M., Stengel, B., Miura, K., Ueshima, H., Okayama, A., Kadota, A., Okamura, T., Sola, L., Ferreiro, A., Santiago, J., Rios, P., Gadola, L., Silvariño, R., Ohkubo, T., Satoh, M., Metoki, H., Kikuya, M., Ciemins, E., Mohl, J., Nelson, R. G., Hanson, R. L., Looker, H. C., Gansevoort, R. T., Kieneker, L. M., Bakker, S. J., Moranne, O., Couchoud, C., Shepherd, D., Jassal, S. K., Bergstrom, J., Kovesdy, C. P., Sumida, K., Shrestha, P., Gutierrez, O., Cheung, K., Muntner, P., Ilori, T., Pena, M., Heerspink, H. J., Fu, E. L., Elinder, C.-G., Barany, P., Carrero, J. J., Evans, M., Sabanayagam, C., Cheng, C.-Y., Wong, T. Y., Yuen, C. C. C., Herrington, W., Staplin, N., Landray, M. J., Baigent, C., Kalra, P., Chinnadurai, R., Green, D., Sinha, S., Ritchie, J., Visseren, F. L., Burger, P., Emmelot, M., van Welzen, B., John, O., Gummidi, B., Ghosh, A., Naimark, D., Tangri, N., Wen, C.-P., Tsai, M.-K., Ueno, Y., Watanabe, M., Ichikawa, K., Mirbolouk, M., Azizi, F., Hadaegh, F., Hosseinpanah, F., Shi, W., Arking, D., Ärnlöv, J., Larsson, A., Giedraitis, V., Mark, P., Traynor, J., Sullivan, M., Lees, J., Yang, J. W., Shin, J. I., Lee, J. Y., Kim, J. S., Bilo, H. J., van Dijk, P., Edens, M., Dille, J., Ballew, S. H., Carrero, J.-J., Grams, M. E., Chen, J., Surapaneni, A., Grams, M. E., Coresh, J., Matsushita, K., Ballew, S. H., Sang, Y., Surapaneni, A., Alencar de Pinho, N., Anderson, A., Appel, L. J., Ärnlöv, J., Azizi, F., Bansal, N., Bell, S., Bilo, H. J. G., Brunskill, N. J., Carrero, J. J., Chadban, S., Chalmers, J., Chen, J., Ciemins, E., Cirillo, M., Ebert, N., Evans, M., Ferreiro, A., Fu, E. L., Fukagawa, M., Green, J. A., Gutierrez, O. M., Herrington, W. G., Hwang, S.-J., Inker, L. A., Iseki, K., Jafar, T., Jassal, S. K., Jha, V., Kadota, A., Katz, R., Köttgen, A., Konta, T., Kronenberg, F., Lee, B. J., Lees, J., Levin, A., Looker, H. C., Major, R., Melzer Cohen, C., Mieno, M., Miyazaki, M., Moranne, O., Muraki, I., Naimark, D., Nitsch, D., Oh, W., Pena, M., Purnell, T. S., Sabanayagam, C., Satoh, M., Sawhney, S., Schaeffner, E., Schöttker, B., Shen, J. I., Shlipak, M. G., Sinha, S., Stengel, B., Sumida, K., Tonelli, M., Valdivielso, J. M., van Zuilen, A. D., Visseren, F. L. J., Wang, A. Y.-M., Wen, C.-P., Wheeler, D. C., Yatsuya, H., Yamagata, K., Yang, J. W., Young, A., Zhang, H., Zhang, L., Levey, A. S., & Gansevoort, R. T.
- Affiliations
- Writing Group for the CKD Prognosis Consortium
- Peking University First Hospital (CN)
- Tulane University (US)
- Diabetes Centre and Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Division of Nephrology, University of Alabama at Birmingham
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, England
- Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- ORCID
- Woodward, Mark
- Harris, Katie
- Arima, Hisatomi
- Tamakoshi, Koji
- Tang, Mila
- Wang, Fang
- Wang, Jinwei
- Mielke, Nina
- Lloyd, Anita
- Sacks, Frank
- Sarnak, Mark
- Yamagishi, Kazumasa
- Iso, Hiroyasu
- Maruyama, Shoichi
- Hamano, Takayuki
- Fujii, Naohiko
- Imaizumi, Takahiro
- Metzger, Marie
- Hamroun, Aghilès
- Massy, Ziad
- Chaturvedi, Nish
- Poulter, Neil
- Lash, James
- Tuttle, Katherine
- Alicic, Radica
- Nicholas, Susanne
- Rothenbacher, Dietrich
- Brenner, Hermann
- Levy, Daniel
- Schneider, Markus P
- Meiselbach, Heike
- Eckardt, Kai-Uwe
- Kirchner, H Lester
- Singh, Gurmukteshwar
- Black, Corri
- Wilde, Katie
- Marks, Angharad
- Siddiqui, Moneeza
- Pearson, Ewan
- Nakayama, Masaaki
- Yamamoto, Tae
- Ito, Sadayoshi
- Wu, Henry Hon-Lin
- Cheung, Hoi Ching
- Ngai, Victoria
- Garg, Amit X
- McArthur, Eric
- Yadav, Ashok Kumar
- Kumar, Vivek
- Carson, April P
- Diamantidis, Clarissa
- Min, Yuan-I
- Ishikawa, Shizukiyo
- Gray, Laura
- Medcalf, James
- Chodick, Gabriel
- Wetzels, Jack FM
- Blankestijn, Peter J
- Ix, Joachim
- Kollerits, Barbara
- Nadkarni, Girish N
- Chan, Lili
- Liu, Zhihong
- Zhang, Lihua
- Caus, Maite
- Miura, Katsuyuki
- Ueshima, Hirotsugu
- Okayama, Akira
- Okamura, Tomonori
- Rios, Pablo
- Gadola, Liliana
- Silvariño, Ricardo
- Ohkubo, Takayoshi
- Metoki, Hirohito
- Kikuya, Masahiro
- Mohl, Jeff
- Nelson, Robert G
- Hanson, Robert L
- Kieneker, Lyanne M
- Bakker, Stephan JL
- Shepherd, David
- Bergstrom, Jaclyn
- Kovesdy, Csaba P
- Shrestha, Prabin
- Cheung, Katharine
- Muntner, Paul
- Heerspink, Hiddo JL
- Elinder, Carl-Gustaf
- Barany, Peter
- Cheng, Ching-Yu
- Wong, Tien Yin
- Staplin, Natalie
- Baigent, Colin
- Kalra, Philip
- Chinnadurai, Rajkumar
- Green, Darren
- Ritchie, James
- John, Oommen
- Gummidi, Balaji
- Ghosh, Arpita
- Tangri, Navdeep
- Tsai, Min-Kuang
- Ueno, Yoshiyuki
- Watanabe, Masafumi
- Ichikawa, Kazunobu
- Mirbolouk, Mohammadhassan
- Hadaegh, Farzad
- Hosseinpanah, Farhad
- Shi, Wen
- Arking, Dan
- Larsson, Anders
- Giedraitis, Vilmantas
- Mark, Patrick
- Traynor, Jamie
- Shin, Jae il
- Lee, Jun young
- Edens, Mireille
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2023-10-03
- Volume
- 330
- Issue
- 13
- Pages
- 1266
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC10548311
- OpenAlex
- W4387296715
- Cited by
- 396
- References
- 23
- Citations by year
- 2026: 182 · 2025: 143 · 2024: 69 · 2023: 2
- FWCI
- 76.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- JAMA (publishedVersion, other-oa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
- Leiden Repository (Leiden University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
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- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- Discovery Research Portal (University of Dundee) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Figshare (submittedVersion)
- Funders
- Amgen
- Eli Lilly and Company
- AstraZeneca
- GlaxoSmithKline
- Sanofi
- Brigham and Women's Hospital
- Kaiser Permanente (UL1RR024131, P20 GM109036)
- University of Pennsylvania (UL1-TR-000003, UL1 TR-000424)
- Tufts Medical Center
- MSD France
- University of Washington
- Tulane University (UL1 RR-024131, P20 GM109036)
- Johns Hopkins University (UL1‐TR000424)
- Deutsches Krebsforschungszentrum (M01 RR-16500)
- University of Dundee
- Wellcome Trust
- University Hospitals of Leicester NHS Trust
- Duke-NUS Medical School
- Georgia Clinical and Translational Science Alliance (UL1RR029879, UL1TR000433)
- Geisinger Commonwealth School of Medicine
- York University
- National Institute for Health and Care Research (ACF-2019-06-012)
- British Heart Foundation
- Kidney Research UK (JFDKcsf2/2017)
- Diabetes UK
- British Renal Society
- Academy of Medical Sciences (SGL020\1076)
- University of Leicester
- Imperial College London
- University of Oxford
- Deutsche Forschungsgemeinschaft (431984000, 431 984 000-SFB 1453, SFB1453)
- Institut National de la Santé et de la Recherche Médicale (U1018)
- Rijksuniversiteit Groningen
- University of New South Wales
- Bundesministerium für Bildung und Forschung (01ER0820, 01ER0804, 01ER0818, 01ER0821, 431984000, 01ER0819, FKZ 01ER 0804)
- Albert-Ludwigs-Universität Freiburg
- Karolinska Institutet
- Universitair Medisch Centrum Groningen
- Högskolan Dalarna
- Shahid Beheshti University of Medical Sciences
- Universidad de la República Uruguay
- Università degli Studi di Salerno
- Otsuka Pharmaceutical
- Boehringer Ingelheim France
- National Institutes of Health (1s10od026880-01, UL1TR000433, UL1TR000424, UL1TR000003, 1s10od030463-01, UL1TR000439, U01-DK060990, N01-HC 25195, GM109036)
- Centers for Disease Control and Prevention (75D301-19-Q-69877)
- University of Illinois at Urbana-Champaign
- School of Medicine, New York University
- Duke Global Health Institute, Duke University
- University of California, Los Angeles
- Perelman School of Medicine, University of Pennsylvania (UL1TR000003)
- University of California, San Francisco
- Michigan Institute for Clinical and Health Research (UL1RR029879, UL1TR000433)
- Johns Hopkins Bloomberg School of Public Health
- Clinical and Translational Science Collaborative of Cleveland, School of Medicine, Case Western Reserve University (UL1TR000439)
- Medical Research Council (MR/R007764/1, MC_UU_00017/3)
- National Health and Medical Research Council
- Japan Society for the Promotion of Science (21K08271, 23K24607)
- Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences
- School of Medicine, Tokai University
- National Heart, Lung, and Blood Institute (N01‐HC25195)
- National Institute of General Medical Sciences (P20GM109036)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK119199, NM R01DK119199, U01DK060990, N01-HC-25195, U01DK060984, U01DK060902, R01DK100446, U24DK060990, U01DK060980, U01DK061022, U01DK060963, U01DK061021, U01DK061028, P30DK079626)
- National Center for Research Resources (UL1RR024131, M01RR016500, UL1RR029879)
- National Center for Advancing Translational Sciences (M01RR16500)
- NHLBI Division of Intramural Research
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Keywords
- estimated glomerular filtration rate, albuminuria, cystatin C, chronic kidney disease, renal failure, cardiovascular outcomes, all-cause mortality, cardiovascular mortality, acute kidney injury, hospitalization, coronary artery disease, stroke, heart failure, atrial fibrillation, peripheral arterial disease, albumin-creatinine ratio, individual patient data
- MeSH terms
- Adult, Aged, Albumins, Albuminuria, Atrial Fibrillation, Creatinine, Female, Glomerular Filtration Rate, Humans, Male, Middle Aged, Retrospective Studies, Comorbidity, Disease Progression, Internationality, Renal Insufficiency, Chronic, Cystatin C
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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