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Cited by 818

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Sepsis associated acute kidney injury

Open access
Poston, Jason T, Koyner, Jay L·2019·BMJ
DOI 10.1136/bmj.k4891
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Abstract

Sepsis is defined as organ dysfunction resulting from the host’s deleterious response to infection. One of the most common organs affected is the kidneys, resulting in sepsis associated acute kidney injury (SA-AKI) that contributes to the morbidity and mortality of sepsis. A growing body of knowledge has illuminated the clinical risk factors, pathobiology, response to treatment, and elements of renal recovery that have advanced our ability to prevent, detect, and treat SA-AKI. Despite these advances, SA-AKI remains an important concern and clinical burden, and further study is needed to reduce the acute and chronic consequences. This review summarizes the relevant evidence, with a focus on the risk factors, early recognition and diagnosis, treatment, and long term consequences of SA-AKI. In addition to literature pertaining to SA-AKI specifically, pertinent sepsis and acute kidney injury literature relevant to SA-AKI was included.

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Registry

Crossref · 10.1136/bmj.k4891

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Metadata

Authors
Poston, J. T., & Koyner, J. L.
Venue
BMJ
Publisher
BMJ
Published
2019-01-09
Volume
364
Pages
k4891
ISSN
  • 1756-1833 (ISSN-L)
  • 0959-8138
DOI
10.1136/bmj.k4891
OpenAlex
W2910674778
Cited by
818
References
30
FWCI
49.28
Type
journal article
Language
en
Open access
green

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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.

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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.