The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Acute kidney injury: what's the prognosis?
Open accessAbstract
Acute kidney injury (AKI) is common (especially during critical illness), increasing in incidence, and is associated with considerable morbidity and mortality. The Risk, Injury, Failure, Loss, and End-stage renal disease (RIFLE) classification currently provides a standardized estimate of incidence and outcomes from AKI. Despite advances in the understanding of the pathogenesis of human AKI, our ability to assess kidney function is limited and functional impairment poorly correlates with structural injury to the kidneys. Emerging novel biomarkers are, however, likely to further enhance risk stratification, facilitate early diagnosis, enable early enrollment in therapeutic trials, and assess prognosis. Sepsis remains the leading cause of AKI among the critically ill and over the past few years insights into the pathogenesis of AKI in sepsis are beginning to shift attention from renal blood flow to inflammation-mediated organ injury. Emerging evidence suggests that survivors of AKI incur long-term risks for developing chronic kidney disease and end-stage renal disease compared with those without AKI. Despite decades of research, no specific therapy for AKI other than supportive care currently exists and further work is required to better understand the pathogenesis of AKI during critical illness and to develop novel treatments.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., Reinhart, C. K., Suter, P. M., & Thijs, L. G. (1996) · Intensive Care Medicine · doi:10.1007/bf01709751 · Cited by 11,674
Comparison of Two Fluid-Management Strategies in Acute Lung Injury
(2006) · New England Journal of Medicine · doi:10.1056/nejmoa062200 · Cited by 3,538
Declining Mortality in Patients with Acute Renal Failure, 1988 to 2002
Waikar, S. S., Curhan, G. C., Wald, R., McCarthy, E. P., & Chertow, G. M. (2006) · Journal of the American Society of Nephrology · doi:10.1681/asn.2005091017 · Cited by 587
Cited by
Bellomo, R., Kellum, J. A., & Ronco, C. (2012) · The Lancet · doi:10.1016/s0140-6736(11)61454-2 · Cited by 2,598
Self-citationAcute kidney injury and chronic kidney disease: an integrated clinical syndrome
Chawla, L. S., & Kimmel, P. L. (2012) · Kidney International · doi:10.1038/ki.2012.208 · Cited by 829
Classifying 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-citationNF-κB in inflammation and renal diseases
Zhang, H., & Sun, S.-C. (2015) · Cell & Bioscience · doi:10.1186/s13578-015-0056-4 · Cited by 383
Biopsy-proven acute interstitial nephritis, 1993-2011: a case series
Muriithi, A. K., Leung, N., Valeri, A. M., Cornell, L. D., Sethi, S., Fidler, M. E., & Nasr, S. H. (2014) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2014.04.027 · Cited by 337
Metadata
- Authors
- Murugan, R., & Kellum, J. A.
- Venue
- Nature Reviews Nephrology
- Published
- 2011-02-22
- Volume
- 7
- Issue
- 4
- Pages
- 209-217
- ISSN
- 1745-8323 (ISSN-L)
- 1759-5061
- 1759-507X
- OpenAlex
- W2084162564
- Cited by
- 429
- References
- 3
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.