The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement
Open accessAbstract
Importance: In the last decade, new biomarkers for acute kidney injury (AKI) have been identified and studied in clinical trials. Guidance is needed regarding how best to incorporate them into clinical practice. Objective: To develop recommendations on AKI biomarkers based on existing data and expert consensus for practicing clinicians and researchers. Evidence Review: At the 23rd Acute Disease Quality Initiative meeting, a meeting of 23 international experts in critical care, nephrology, and related specialties, the panel focused on 4 broad areas, as follows: (1) AKI risk assessment; (2) AKI prediction and prevention; (3) AKI diagnosis, etiology, and management; and (4) AKI progression and kidney recovery. A literature search revealed more than 65 000 articles published between 1965 and May 2019. In a modified Delphi process, recommendations and consensus statements were developed based on existing data, with 90% agreement among panel members required for final adoption. Recommendations were graded using the Grading of Recommendations, Assessment, Development and Evaluations system. Findings: The panel developed 11 consensus statements for biomarker use and 14 research recommendations. The key suggestions were that a combination of damage and functional biomarkers, along with clinical information, be used to identify high-risk patient groups, improve the diagnostic accuracy of AKI, improve processes of care, and assist the management of AKI. Conclusions and Relevance: Current evidence from clinical studies supports the use of new biomarkers in prevention and management of AKI. Substantial gaps in knowledge remain, and more research is necessary.
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(2012) · Kidney International Supplements · doi:10.1038/kisup.2012.1 · Cited by 4,326
Self-citation16., O. B. O. T. A. D. Q. I. W., Chawla, L. S., Bellomo, R., Bihorac, A., Goldstein, S. L., Siew, E. D., Bagshaw, S. M., Bittleman, D., Cruz, D., Endre, Z., et al. (2017) · Nature Reviews Nephrology · doi:10.1038/nrneph.2017.2 · Cited by 1,537
Self-citationDiscovery and validation of cell cycle arrest biomarkers in human acute kidney injury
Kashani, K., Al-Khafaji, A., Ardiles, T., Artigas, A., Bagshaw, S. M., Bell, M., Bihorac, A., Birkhahn, R., Cely, C. M., Chawla, L. S., et al. (2013) · Critical Care · doi:10.1186/cc12503 · Cited by 1,362
Self-citationZarbock, A., Kellum, J. A., Schmidt, C., Van Aken, H., Wempe, C., Pavenstädt, H., Boanta, A., Gerß, J., & Meersch, M. (2016) · JAMA · doi:10.1001/jama.2016.5828 · Cited by 1,143
Self-citationMeersch, M., Schmidt, C., Hoffmeier, A., Van Aken, H., Wempe, C., Gerss, J., & Zarbock, A. (2017) · Intensive Care Medicine · doi:10.1007/s00134-016-4670-3 · Cited by 892
Self-citationRaising awareness of acute kidney injury: a global perspective of a silent killer
Lewington, A. J. P., Cerdá, J., & Mehta, R. L. (2013) · Kidney International · doi:10.1038/ki.2013.153 · Cited by 791
Self-citationBiomarkers for the diagnosis and risk stratification of acute kidney injury: A systematic review
Coca, S. G., Yalavarthy, R., Concato, J., & Parikh, C. R. (2008) · Kidney International · doi:10.1038/sj.ki.5002729 · Cited by 685
The Outcome of Neutrophil Gelatinase-Associated Lipocalin-Positive Subclinical Acute Kidney Injury
Haase, M., Devarajan, P., Haase-Fielitz, A., Bellomo, R., Cruz, D. N., Wagener, G., Krawczeski, C. D., Koyner, J. L., Murray, P., Zappitelli, M., et al. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.11.051 · Cited by 684
Self-citationClassifying AKI by Urine Output versus Serum Creatinine Level
Kellum, J. A., Sileanu, F. E., Murugan, R., Lucko, N., Shaw, A. D., & Clermont, G. (2015) · Journal of the American Society of Nephrology · doi:10.1681/asn.2014070724 · Cited by 527
Self-citationMurray, P. T., Mehta, R. L., Shaw, A., Ronco, C., Endre, Z., Kellum, J. A., Chawla, L. S., Cruz, D., Ince, C., & Okusa, M. D. (2014) · Kidney International · doi:10.1038/ki.2013.374 · Cited by 420
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Ostermann, M., Lumlertgul, N., Jeong, R., See, E., Joannidis, M., & James, M. (2025) · The Lancet · doi:10.1016/s0140-6736(24)02385-7 · Cited by 396
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Metadata
- Authors
- Ostermann, M., Zarbock, A., Goldstein, S., Kashani, K., Macedo, E., Murugan, R., Bell, M., Forni, L., Guzzi, L., Joannidis, M., Kane-Gill, S. L., Legrand, M., Mehta, R., Murray, P. T., Pickkers, P., Plebani, M., Prowle, J., Ricci, Z., Rimmelé, T., Rosner, M., Shaw, A. D., Kellum, J. A., & Ronco, C.
- Venue
- JAMA Network Open
- Publisher
- American Medical Association (AMA)
- Published
- 2020-10-06
- Volume
- 3
- Issue
- 10
- Pages
- e2019209
- ISSN
- 2574-3805 (ISSN-L)
- OpenAlex
- W3089762823
- Cited by
- 677
- References
- 69
- FWCI
- 44.89
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement. https://app.cochat.ai/papers/10.1001/jamanetworkopen.2020.19209
- The paper
- Ostermann, M., Zarbock, A., Goldstein, S., Kashani, K., Macedo, E., Murugan, R., Bell, M., Forni, L., Guzzi, L., Joannidis, M., Kane-Gill, S. L., Legrand, M., Mehta, R., Murray, P. T., Pickkers, P., Plebani, M., Prowle, J., Ricci, Z., Rimmelé, T., . . . Ronco, C. (2020). Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2020.19209
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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