The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Bridging Critically Ill Patients With Cirrhosis to Transplant With Renal Replacement Therapy: A Multicenter Cohort Study
Abstract
Background & Aims: The efficacy of renal replacement therapy (RRT) in critically ill patients with cirrhosis remains dubious. We aimed to assess the impact of RRT on these patients' outcomes. Methods: Multicenter retrospective cohort study including adult patients with cirrhosis admitted to intensive care units at University of Alberta Hospital (Edmonton, Canada) and Northwestern Memorial Hospital (Chicago, US) from January 2010 to December 2017. Primary exposure was receipt of RRT on ICU days 1 to 3. Fine and Gray multivariable regression with competing endpoints, in‐hospital liver transplant (LT) and mortality, was performed. Results: Among 898 patients, median (IQR) age was 57 (49–64) years and 539 (60.0%) were males. RRT on days 1 to 3 was used in 249 (27.7%) patients. Patients on RRT on days 1 to 3 had higher CLIF‐C‐ACLF scores on days 1 (61 vs. 55, p < 0.001) and 3 (59 vs. 50; p < 0.001) than others. During the hospital stay, 97 (10.8%) patients were transplanted and 296 (33.0%) died. Following adjustment for aetiology, number of extra‐renal organ failures, and year of inclusion, using mortality as competing event, RRT on days 1 to 3 was associated with higher hazard of LT (HR (95% CI) = 1.54 (1.02–2.32); p = 0.039). Conversely, using LT as competing event, RRT on days 1 to 3 was not associated with mortality (HR (95% CI) = 1.15 (0.90–1.47); p = 0.25). Conclusions: Among critically ill patients with cirrhosis, early RRT, while offered more often to the sickest patients, was associated with a higher likelihood of receiving LT, but not with mortality.
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
Elm, E. V., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2007) · BMJ · doi:10.1136/bmj.39335.541782.ad · Cited by 10,766
Malinchoc, M., Kamath, P. S., Gordon, F. D., Peine, C. J., Rank, J., & ter Borg, P. C. J. (2000) · Hepatology · doi:10.1053/he.2000.5852 · Cited by 2,893
Timing of renal-replacement therapy in patients with acute kidney injury and sepsis.
Barbar, S. D., Clere-Jehl, R., Bourredjem, A., Hernu, R., Montini, F., Bruyère, R., Lebert, C., Bohé, J., Badie, J., Eraldi, J.-P., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1803213 · Cited by 777
Timing of initiation of renal-replacement therapy in acute kidney injury.
The STARRT-AKI Investigators (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2000741 · Cited by 771
Competing risk analysis using R: an easy guide for clinicians
Scrucca, L., Santucci, A., & Aversa, F. (2007) · Bone Marrow Transplantation · doi:10.1038/sj.bmt.1705727 · Cited by 699
Clinical Course of acute‐on‐chronic liver failure syndrome and effects on prognosis
Gustot, T., Fernández, J., García, E., Morando, F., Caraceni, P., Alessandria, C., Laleman, W., Trebicka, J., Elkrief, L., Hopf, C., et al. (2015) · Hepatology · doi:10.1002/hep.27849 · Cited by 657
Regression modeling of competing risk using R: an in depth guide for clinicians
Scrucca, L., Santucci, A., & Aversa, F. (2010) · Bone Marrow Transplantation · doi:10.1038/bmt.2009.359 · Cited by 458
Artru, F., Louvet, A., Ruiz, I., Levesque, É., Labreuche, J., Bedoya, J. U., Lassailly, G., Dharancy, S., Boleslawski, E., Lebuffe, G., et al. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2017.06.009 · Cited by 392
Prognostic Importance of the Cause of Renal Failure in Patients With Cirrhosis
Martín–Llahí, M., Guevara, M., Torre, A., Fagundes, C., Restuccia, T., Gilabert, R., Solá, E., Pereira, G., Marinelli, M., Pavesi, M., et al. (2011) · Gastroenterology · doi:10.1053/j.gastro.2010.07.043 · Cited by 372
Metadata
- Authors
- Cardoso, F. S., Kim, M., Kok, B., Wunderink, R., Abraldes, J. G., & Karvellas, C. J.
- Venue
- Liver International
- Publisher
- Wiley
- Published
- 2026-03-18
- Volume
- 46
- Issue
- 4
- ISSN
- 1478-3223
- 1478-3231
- Cited by
- 1
- References
- 33
- Language
- en
- Licence
- creativecommons.org/licenses/by/4.0/ (vor)
- doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bridging Critically Ill Patients With Cirrhosis to Transplant With Renal Replacement Therapy: A Multicenter Cohort Study. https://app.cochat.ai/papers/10.1111/liv.70593
- The paper
- Cardoso, F. S., Kim, M., Kok, B., Wunderink, R., Abraldes, J. G., & Karvellas, C. J. (2026). Bridging Critically Ill Patients With Cirrhosis to Transplant With Renal Replacement Therapy: A Multicenter Cohort Study. Liver International. https://doi.org/10.1111/liv.70593
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.