Determining the optimal time for liberation from renal replacement therapy in critically ill patients: a systematic review and meta-analysis (DOnE RRT)
Introduction Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for...
Uloženo v:
| Vydáno v: | Critical care (London, England) Ročník 24; číslo 1; s. 50 - 13 |
|---|---|
| Hlavní autoři: | , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
BioMed Central
13.02.2020
BioMed Central Ltd Springer Nature B.V BMC |
| Témata: | |
| ISSN: | 1364-8535, 1466-609X, 1364-8535, 1466-609X, 1366-609X |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Introduction
Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT.
Methods
A systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis.
Results
Our search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6–76.9%) and specificity of 73.6% (95% CI, 67.5–79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined.
Conclusions
Numerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy. |
|---|---|
| AbstractList | Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT. A systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis. Our search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6-76.9%) and specificity of 73.6% (95% CI, 67.5-79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined. Numerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy. Introduction Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT. Methods A systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis. Results Our search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6–76.9%) and specificity of 73.6% (95% CI, 67.5–79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined. Conclusions Numerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy. Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT. A systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis. Our search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6-76.9%) and specificity of 73.6% (95% CI, 67.5-79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined. Numerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy. Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT.INTRODUCTIONRenal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT.A systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis.METHODSA systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis.Our search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6-76.9%) and specificity of 73.6% (95% CI, 67.5-79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined.RESULTSOur search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6-76.9%) and specificity of 73.6% (95% CI, 67.5-79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined.Numerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy.CONCLUSIONSNumerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy. Introduction Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT. Methods A systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis. Results Our search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6-76.9%) and specificity of 73.6% (95% CI, 67.5-79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined. Conclusions Numerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy. Keywords: Systematic review, Renal replacement therapy, Prediction, Acute kidney injury, Intensive care unit, Biomarkers, Creatinine Abstract Introduction Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT. Methods A systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis. Results Our search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6–76.9%) and specificity of 73.6% (95% CI, 67.5–79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined. Conclusions Numerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy. Introduction Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for clinicians on when and how to stop RRT in recovering patients. Our objective was to systematically review the current evidence for clinical and biochemical parameters that can be used to predict successful discontinuation of RRT. Methods A systematic review and meta-analysis were performed with a peer-reviewed search strategy combining the themes of renal replacement therapy (IHD, CRRT, SLED), predictors of successful discontinuation or weaning (defined as an extended period of time free from further RRT), and patient outcomes. Major databases were searched and citations were screened using predefined criteria. Studied parameters were reported and, where possible, data was analyzed in the pooled analysis. Results Our search yielded 23 studies describing 16 variables for predicting the successful discontinuation of RRT. All studies were observational in nature. None were externally validated. Fourteen studies described conventional biochemical criteria used as surrogates of glomerular filtration rate (serum urea, serum creatinine, creatinine clearance, urine urea excretion, urine creatinine excretion). Thirteen studies described physiologic parameters such as urine output before and after cessation of RRT, and 13 studies reported on newer kidney biomarkers, such as serum cystatin C and serum neutrophil gelatinase-associated lipocalin (NGAL). Six studies reported sensitivity and specificity characteristics of multivariate models. Urine output prior to discontinuation of RRT was the most-studied variable, with nine studies reporting. Pooled analysis found a sensitivity of 66.2% (95% CI, 53.6–76.9%) and specificity of 73.6% (95% CI, 67.5–79.0%) for urine output to predict successful RRT discontinuation. Due to heterogeneity in the thresholds of urine output used across the studies, an optimal threshold value could not be determined. Conclusions Numerous variables have been described to predict successful discontinuation of RRT; however, available studies are limited by study design, variable heterogeneity, and lack of prospective validation. Urine output prior to discontinuation of RRT was the most commonly described and robust predictor. Further research should focus on the determination and validation of urine output thresholds, and the evaluation of additional clinical and biochemical parameters in multivariate models to enhance predictive accuracy. |
| ArticleNumber | 50 |
| Audience | Academic |
| Author | Al Saadon, Abdalrhman Silver, Samuel A. Rewa, Oleksa G. Featherstone, Robin Vandermeer, Ben Bagshaw, Sean M. Katulka, Riley Jeremy Gibney, R. T. Noel Sebastianski, Meghan |
| Author_xml | – sequence: 1 givenname: Riley Jeremy orcidid: 0000-0002-3947-3660 surname: Katulka fullname: Katulka, Riley Jeremy organization: Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta – sequence: 2 givenname: Abdalrhman surname: Al Saadon fullname: Al Saadon, Abdalrhman organization: Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta – sequence: 3 givenname: Meghan surname: Sebastianski fullname: Sebastianski, Meghan organization: Alberta Strategy for Patient-Oriented Research (SPOR) SUPPORT Unit Knowledge Translation Platform, University of Alberta – sequence: 4 givenname: Robin surname: Featherstone fullname: Featherstone, Robin organization: Alberta Strategy for Patient-Oriented Research (SPOR) SUPPORT Unit Knowledge Translation Platform, University of Alberta, Alberta Research Center for Health Evidence (ARCHE), University of Alberta – sequence: 5 givenname: Ben surname: Vandermeer fullname: Vandermeer, Ben organization: Alberta Strategy for Patient-Oriented Research (SPOR) SUPPORT Unit Knowledge Translation Platform, University of Alberta, Alberta Research Center for Health Evidence (ARCHE), University of Alberta – sequence: 6 givenname: Samuel A. surname: Silver fullname: Silver, Samuel A. organization: Division of Nephrology, Department of Medicine, Queen’s University – sequence: 7 givenname: R. T. Noel surname: Gibney fullname: Gibney, R. T. Noel organization: Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta – sequence: 8 givenname: Sean M. surname: Bagshaw fullname: Bagshaw, Sean M. organization: Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta – sequence: 9 givenname: Oleksa G. surname: Rewa fullname: Rewa, Oleksa G. email: rewa@ualberta.ca organization: Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32054522$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9ks1u1DAUhSNURH_gAdggS2zKIsWxE8dmUalqC1SqVKkqa8txbqYeOfZgZ4rmSXhd7nRKmVaAIuXH_s6xj3P2i50QAxTF24oeVZUUH3PFaVOXlNGStU1VyhfFXsVFXcqGNztb77vFfs5zSqtWCv6q2OUMdQ1je8XPM5ggjS64MCPTLZC4mNxoPME7kCEm4l0HyUwuBjKkOJIEAacTLLyxMEKY1rJkFiviArHJTc4a7_HLe7JAHRL5EzEkr_IEIw5YFN85-EFM6MkIkykNOq6yy-Tw7Cqck-vrmw-vi5eD8RnePDwPim-fz29Ov5aXV18uTk8uSyuEmsqWmq6zte2GThnFFKO8HoQyXBjec9FUgrecis4MDTAKNZU9B0mFBKoYQ-SguNj49tHM9SJh9rTS0Th9PxDTTJuEe_aguR0kuvSdrKvaqk51rW0bxZoBaiYlQ6_jjddi2Y3QW0yejH9i-nQmuFs9i3e6xT9YqxYNDh8MUvy-hDzp0WUL3psAcZk1402jGtYygej7Z-g8LhOe4z3VMqpqtUXNDAZwYYi4rl2b6hNRiZoyyWukjv5C4dXD6CxWbnA4_kTwbjvoY8LftUKg2gA2xZwTDI9IRfW6unpTXY3B9bq6WqKmfaaxbrrvHe7G-f8q2UaZcZUwg_TnLP4t-gUw4wHr |
| CitedBy_id | crossref_primary_10_1007_s40291_020_00498_z crossref_primary_10_1186_s13054_020_02850_5 crossref_primary_10_1186_s13054_023_04556_w crossref_primary_10_1038_s41390_025_04430_1 crossref_primary_10_1159_000530146 crossref_primary_10_1007_s00134_025_08067_w crossref_primary_10_1016_j_mayocp_2021_05_031 crossref_primary_10_1038_s41598_024_63992_y crossref_primary_10_1186_s12882_024_03844_z crossref_primary_10_2196_63709 crossref_primary_10_1016_j_jcrc_2021_07_020 crossref_primary_10_1007_s11560_024_00767_6 crossref_primary_10_34067_KID_0000000000000332 crossref_primary_10_1080_14737159_2021_1917384 crossref_primary_10_7759_cureus_81783 crossref_primary_10_1016_S0246_0289_25_47266_1 crossref_primary_10_1186_s13054_025_05451_2 crossref_primary_10_3390_jcm14176321 crossref_primary_10_1007_s00134_024_07336_4 crossref_primary_10_1007_s40620_023_01637_5 crossref_primary_10_1097_ACO_0000000000001104 crossref_primary_10_1159_000546851 crossref_primary_10_1007_s00134_022_06851_6 crossref_primary_10_3390_ijms252010873 crossref_primary_10_1007_s11560_022_00624_4 crossref_primary_10_1007_s00540_024_03342_4 crossref_primary_10_1093_ehjacc_zuaf084 crossref_primary_10_1016_j_jtcvs_2024_01_031 crossref_primary_10_1016_S0140_6736_24_02385_7 crossref_primary_10_1080_0886022X_2024_2319329 crossref_primary_10_1186_s41100_022_00395_7 crossref_primary_10_1007_s00063_025_01293_6 crossref_primary_10_5858_arpa_2021_0411_OA crossref_primary_10_1001_jamanetworkopen_2022_46901 crossref_primary_10_3390_jcm13020579 crossref_primary_10_1097_SAP_0000000000004178 crossref_primary_10_1007_s00467_025_06849_4 crossref_primary_10_1007_s00467_023_06186_4 crossref_primary_10_1097_MCC_0000000000001101 crossref_primary_10_1007_s00467_023_05885_2 crossref_primary_10_1186_s13054_025_05289_8 crossref_primary_10_1080_0886022X_2023_2176170 crossref_primary_10_1159_000532034 crossref_primary_10_1186_s13054_025_05517_1 crossref_primary_10_1186_s13054_025_05452_1 crossref_primary_10_1016_j_jacc_2020_06_070 crossref_primary_10_1007_s40620_021_01097_9 crossref_primary_10_1159_000539787 crossref_primary_10_1186_s13054_022_04217_4 crossref_primary_10_1007_s00467_022_05782_0 crossref_primary_10_34067_KID_0000912021 crossref_primary_10_1007_s00134_024_07463_y crossref_primary_10_1016_j_clinsp_2023_100280 crossref_primary_10_2215_CJN_0000000000000056 crossref_primary_10_1186_s13054_025_05581_7 crossref_primary_10_2215_CJN_0000000000000531 |
| Cites_doi | 10.1186/s13613-016-0176-y 10.1097/CCM.0b013e3181a38241 10.1038/nrneph.2010.100 10.1681/ASN.2012080800 10.1186/cc9550 10.1159/000339789 10.1186/s13054-014-0624-8 10.1016/j.jcrc.2018.02.009 10.1186/s13054-018-2192-9 10.1159/000499026 10.1007/s00134-007-0813-x 10.1001/jama.2016.5828 10.1177/0310057X1604400401 10.1007/s00134-017-4948-0 10.2215/CJN.12651214 10.1016/S0272-6386(96)90087-6 10.1186/2197-425X-3-S1-A54 10.1371/journal.pmed.1000097 10.1007/s00134-016-4579-x 10.1159/000447543 10.1111/nep.13396 10.1007/s11255-018-1947-1 10.1159/000490335 10.1016/j.jcrc.2012.08.012 10.1016/j.jclinepi.2005.02.022 10.1186/s13054-016-1225-5 10.3109/0886022X.2015.1057799 10.1007/s00134-015-3934-7 10.1097/01.ASN.0000110182.14608.0C 10.1177/039139881003300103 10.1136/bmjopen-2018-023306 10.1097/CCM.0b013e318195424d 10.1056/NEJMoa1603017 10.2215/CJN.01170215 10.1007/s00134-013-3184-5 10.1183/09031936.00010206 10.1186/1749-8090-7-6 10.1016/j.chest.2016.10.036 10.1681/ASN.V71145 10.1620/tjem.239.1 10.1002/9781119536604 |
| ContentType | Journal Article |
| Copyright | The Author(s). 2020 COPYRIGHT 2020 BioMed Central Ltd. 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s). 2020 – notice: COPYRIGHT 2020 BioMed Central Ltd. – notice: 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
| DOI | 10.1186/s13054-020-2751-8 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection PML(ProQuest Medical Library) ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1364-8535 1466-609X 1366-609X |
| EndPage | 13 |
| ExternalDocumentID | oai_doaj_org_article_3cf85e2db8414c9b9b7c75925fe42882 PMC7020497 A616402834 32054522 10_1186_s13054_020_2751_8 |
| Genre | Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review Journal Article |
| GeographicLocations | Canada |
| GeographicLocations_xml | – name: Canada |
| GrantInformation_xml | – fundername: CIHR |
| GroupedDBID | --- 0R~ 29F 2WC 4.4 53G 5GY 5VS 6J9 6PF 7X7 88E 8FI 8FJ AAFWJ AAJSJ AASML AAWTL ABUWG ACGFS ACJQM ADBBV ADUKV AEGXH AENEX AFKRA AFPKN AHBYD AHMBA AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIAM AOIJS BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C6C CCPQU CS3 DIK E3Z EBD EBLON EBS EMOBN F5P FYUFA GROUPED_DOAJ GX1 HMCUK HYE IAO IHR INH INR ITC KQ8 M1P OK1 PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO PUEGO RBZ ROL RPM RSV SJN SMD SOJ SV3 TR2 U2A UKHRP WOQ YOC .6V AAYXX AFFHD CITATION -5E -5G -BR 3V. ACRMQ ADINQ ALIPV C24 CGR CUY CVF ECM EIF NPM 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQUKI PRINS 7X8 5PM |
| ID | FETCH-LOGICAL-c669t-70abbc4cbfb9a9292034f69a36a3d3651637306baf5e20e408d3e8068e09223d3 |
| IEDL.DBID | 7X7 |
| ISICitedReferencesCount | 60 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000515630000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1364-8535 1466-609X |
| IngestDate | Mon Nov 10 04:34:06 EST 2025 Tue Nov 04 02:06:07 EST 2025 Wed Oct 01 17:22:09 EDT 2025 Tue Oct 14 12:41:09 EDT 2025 Sat Nov 29 13:43:16 EST 2025 Sat Nov 29 10:24:21 EST 2025 Thu Jan 02 22:37:25 EST 2025 Sat Nov 29 06:02:02 EST 2025 Tue Nov 18 21:33:07 EST 2025 Sat Sep 06 07:25:16 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Creatinine Acute kidney injury Prediction Biomarkers Systematic review Renal replacement therapy Intensive care unit |
| Language | English |
| License | Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c669t-70abbc4cbfb9a9292034f69a36a3d3651637306baf5e20e408d3e8068e09223d3 |
| Notes | ObjectType-Article-1 ObjectType-Evidence Based Healthcare-3 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3 |
| ORCID | 0000-0002-3947-3660 |
| OpenAccessLink | https://www.proquest.com/docview/2357209496?pq-origsite=%requestingapplication% |
| PMID | 32054522 |
| PQID | 2357209496 |
| PQPubID | 44362 |
| PageCount | 13 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_3cf85e2db8414c9b9b7c75925fe42882 pubmedcentral_primary_oai_pubmedcentral_nih_gov_7020497 proquest_miscellaneous_2355952726 proquest_journals_2357209496 gale_infotracmisc_A616402834 gale_infotracacademiconefile_A616402834 pubmed_primary_32054522 crossref_primary_10_1186_s13054_020_2751_8 crossref_citationtrail_10_1186_s13054_020_2751_8 springer_journals_10_1186_s13054_020_2751_8 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-02-13 |
| PublicationDateYYYYMMDD | 2020-02-13 |
| PublicationDate_xml | – month: 02 year: 2020 text: 2020-02-13 day: 13 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Critical care (London, England) |
| PublicationTitleAbbrev | Crit Care |
| PublicationTitleAlternate | Crit Care |
| PublicationYear | 2020 |
| Publisher | BioMed Central BioMed Central Ltd Springer Nature B.V BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: Springer Nature B.V – name: BMC |
| References | D Moher (2751_CR33) 2009; 6 J Aniort (2751_CR25) 2016; 20 2751_CR32 H Schiffl (2751_CR52) 2018; 50 2751_CR35 N Fealy (2751_CR50) 2015; 17 OG Rewa (2751_CR51) 2017; 43 Xiaohan Chen (2751_CR19) 2019; 48 CS Kim (2751_CR28) 2018; 43 G Romero-Gonzalez (2751_CR39) 2017; 44 Z Zhang (2751_CR31) 2012; 122 T Yang (2751_CR29) 2017; 23 J Jeon (2751_CR37) 2018; 22 JA Ferreira (2751_CR7) 2015; 37 TS Itenov (2751_CR38) 2018; 20 A Khwaja (2751_CR16) 2012; 120 S Frohlich (2751_CR20) 2012; 27 JR Prowle (2751_CR2) 2010; 6 V Ferreira (2751_CR15) 2018; 45 D Franzen (2751_CR44) 2010; 33 T Yang (2751_CR30) 2017; 11 A Zarbock (2751_CR6) 2016; 315 C Ronco (2751_CR10) 1996; 28 N Viallet (2751_CR26) 2016; 6 J-M Boles (2751_CR48) 2007; 29 S Uchino (2751_CR21) 2009; 37 C Kim (2751_CR40) 2016 VC Wu (2751_CR45) 2008; 34 2751_CR4 J van de Wetering (2751_CR12) 1996; 7 PK Guru (2751_CR8) 2016; 133 PJ Gleeson (2751_CR23) 2015; 3 T Yoshida (2751_CR17) 2019; 24 T Ohnuma (2751_CR41) 2013; 39 PH van der Voort (2751_CR46) 2009; 37 S Gaudry (2751_CR5) 2016; 375 EA Hoste (2751_CR1) 2015; 41 J Cerdá (2751_CR13) 2015; 10 K Klouche (2751_CR53) 2018; 44 DR Ouellette (2751_CR47) 2017; 151 JA Silversides (2751_CR11) 2014; 18 S Katayama (2751_CR22) 2016; 44 D Heise (2751_CR42) 2012; 7 JM Raurich (2751_CR27) 2018; 45 G Citerio (2751_CR49) 2014; 40 O Solymos (2751_CR43) 2011; 15 H Schiffl (2751_CR14) 2008; 13 EA Hoste (2751_CR9) 2004; 15 A Al Saadon (2751_CR34) 2018; 8 RK Hsu (2751_CR3) 2013; 24 SS Han (2751_CR18) 2016; 239 A Dewitte (2751_CR24) 2015; 10 JB Reitsma (2751_CR36) 2005; 58 32306989 - Crit Care. 2020 Apr 19;24(1):159 |
| References_xml | – volume: 20 start-page: 54 issue: 1 year: 2018 ident: 2751_CR38 publication-title: Crit Care Resusc – volume: 6 start-page: 71 issue: 1 year: 2016 ident: 2751_CR26 publication-title: Ann Intensive Care doi: 10.1186/s13613-016-0176-y – volume: 37 start-page: 2576 issue: 9 year: 2009 ident: 2751_CR21 publication-title: Crit Care Med doi: 10.1097/CCM.0b013e3181a38241 – volume: 6 start-page: 521 issue: 9 year: 2010 ident: 2751_CR2 publication-title: Nat Rev Nephrol doi: 10.1038/nrneph.2010.100 – volume: 39 start-page: S442 year: 2013 ident: 2751_CR41 publication-title: Intensive Care Med – volume: 17 start-page: 83 issue: 2 year: 2015 ident: 2751_CR50 publication-title: Crit Care Resusc – volume: 24 start-page: 37 issue: 1 year: 2013 ident: 2751_CR3 publication-title: J Am Soc Nephrol doi: 10.1681/ASN.2012080800 – volume: 15 start-page: S47 year: 2011 ident: 2751_CR43 publication-title: Crit Care doi: 10.1186/cc9550 – volume: 120 start-page: c179 issue: 4 year: 2012 ident: 2751_CR16 publication-title: Nephron Clin Pract doi: 10.1159/000339789 – start-page: 249A volume-title: Kidney Week 2016. vol. 27 year: 2016 ident: 2751_CR40 – volume: 18 start-page: 624 issue: 6 year: 2014 ident: 2751_CR11 publication-title: Crit Care doi: 10.1186/s13054-014-0624-8 – volume: 45 start-page: 144 year: 2018 ident: 2751_CR27 publication-title: J Crit Care doi: 10.1016/j.jcrc.2018.02.009 – volume: 22 start-page: 255 issue: 1 year: 2018 ident: 2751_CR37 publication-title: Crit Care doi: 10.1186/s13054-018-2192-9 – volume: 48 start-page: 10 issue: 1 year: 2019 ident: 2751_CR19 publication-title: Blood Purification doi: 10.1159/000499026 – volume: 34 start-page: 101 issue: 1 year: 2008 ident: 2751_CR45 publication-title: Intensive Care Med doi: 10.1007/s00134-007-0813-x – volume: 315 start-page: 2190 issue: 20 year: 2016 ident: 2751_CR6 publication-title: JAMA doi: 10.1001/jama.2016.5828 – volume: 23 start-page: 23 year: 2017 ident: 2751_CR29 publication-title: Artif Organs – ident: 2751_CR4 – volume: 44 start-page: 453 issue: 4 year: 2016 ident: 2751_CR22 publication-title: Anaesth Intensive Care doi: 10.1177/0310057X1604400401 – volume: 44 start-page: 639 issue: 5 year: 2018 ident: 2751_CR53 publication-title: Intensive Care Med doi: 10.1007/s00134-017-4948-0 – volume: 10 start-page: 1900 issue: 11 year: 2015 ident: 2751_CR24 publication-title: Clin J Am Soc Nephrol doi: 10.2215/CJN.12651214 – volume: 28 start-page: S100 issue: 5 year: 1996 ident: 2751_CR10 publication-title: Am J Kidney Dis doi: 10.1016/S0272-6386(96)90087-6 – volume: 3 start-page: A54 year: 2015 ident: 2751_CR23 publication-title: Intensive Care Med Exp doi: 10.1186/2197-425X-3-S1-A54 – volume: 6 start-page: e1000097 issue: 7 year: 2009 ident: 2751_CR33 publication-title: PLoS Med doi: 10.1371/journal.pmed.1000097 – volume: 43 start-page: 750 issue: 6 year: 2017 ident: 2751_CR51 publication-title: Intensive Care Med doi: 10.1007/s00134-016-4579-x – volume: 133 start-page: 175 issue: 3 year: 2016 ident: 2751_CR8 publication-title: Nephron doi: 10.1159/000447543 – volume: 24 start-page: 287 issue: 3 year: 2019 ident: 2751_CR17 publication-title: Nephrol doi: 10.1111/nep.13396 – volume: 50 start-page: 1845 issue: 10 year: 2018 ident: 2751_CR52 publication-title: Int Urol Nephrol doi: 10.1007/s11255-018-1947-1 – volume: 43 start-page: 872 issue: 3 year: 2018 ident: 2751_CR28 publication-title: Kidney Blood Press Res doi: 10.1159/000490335 – volume: 27 start-page: 744.e741 issue: 6 year: 2012 ident: 2751_CR20 publication-title: J Crit Care doi: 10.1016/j.jcrc.2012.08.012 – volume: 58 start-page: 982 issue: 10 year: 2005 ident: 2751_CR36 publication-title: J Clin Epidemiol doi: 10.1016/j.jclinepi.2005.02.022 – volume: 20 start-page: 43 year: 2016 ident: 2751_CR25 publication-title: Crit Care doi: 10.1186/s13054-016-1225-5 – volume: 37 start-page: 1232 issue: 7 year: 2015 ident: 2751_CR7 publication-title: Ren Fail doi: 10.3109/0886022X.2015.1057799 – volume: 45 start-page: 261 issue: 3 year: 2018 ident: 2751_CR15 publication-title: Nephrol Nurs J – volume: 41 start-page: 1411 issue: 8 year: 2015 ident: 2751_CR1 publication-title: Intensive Care Med doi: 10.1007/s00134-015-3934-7 – volume: 15 start-page: 454 issue: 2 year: 2004 ident: 2751_CR9 publication-title: J Am Soc Nephrol doi: 10.1097/01.ASN.0000110182.14608.0C – volume: 33 start-page: 15 issue: 1 year: 2010 ident: 2751_CR44 publication-title: Int J Artif Organs doi: 10.1177/039139881003300103 – volume: 8 start-page: e023306 issue: 11 year: 2018 ident: 2751_CR34 publication-title: BMJ Open doi: 10.1136/bmjopen-2018-023306 – ident: 2751_CR35 – volume: 37 start-page: 533 issue: 2 year: 2009 ident: 2751_CR46 publication-title: Crit Care Med doi: 10.1097/CCM.0b013e318195424d – volume: 375 start-page: 122 issue: 2 year: 2016 ident: 2751_CR5 publication-title: N Engl J Med doi: 10.1056/NEJMoa1603017 – volume: 10 start-page: 1859 issue: 10 year: 2015 ident: 2751_CR13 publication-title: Clin J Am Soc Nephrol doi: 10.2215/CJN.01170215 – volume: 40 start-page: 147 issue: 2 year: 2014 ident: 2751_CR49 publication-title: Intensive Care Med doi: 10.1007/s00134-013-3184-5 – volume: 44 start-page: 170 issue: 3 year: 2017 ident: 2751_CR39 publication-title: Blood Purif – volume: 122 start-page: 86 issue: 3–4 year: 2012 ident: 2751_CR31 publication-title: Nephron – volume: 29 start-page: 1033 issue: 5 year: 2007 ident: 2751_CR48 publication-title: Eur Respir J doi: 10.1183/09031936.00010206 – volume: 11 start-page: 11 year: 2017 ident: 2751_CR30 publication-title: Hemodial – volume: 7 start-page: 6 year: 2012 ident: 2751_CR42 publication-title: J Cardiothorac Surg doi: 10.1186/1749-8090-7-6 – volume: 151 start-page: 166 issue: 1 year: 2017 ident: 2751_CR47 publication-title: Chest doi: 10.1016/j.chest.2016.10.036 – volume: 13 start-page: 552 issue: 12 year: 2008 ident: 2751_CR14 publication-title: Eur J Med Res – volume: 7 start-page: 145 issue: 1 year: 1996 ident: 2751_CR12 publication-title: J Am Soc Nephrol doi: 10.1681/ASN.V71145 – volume: 239 start-page: 1 issue: 1 year: 2016 ident: 2751_CR18 publication-title: Tohoku J Exp Med doi: 10.1620/tjem.239.1 – ident: 2751_CR32 doi: 10.1002/9781119536604 – reference: 32306989 - Crit Care. 2020 Apr 19;24(1):159 |
| SSID | ssj0017863 |
| Score | 2.5292702 |
| SecondaryResourceType | review_article |
| Snippet | Introduction
Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific... Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific recommendations for... Introduction Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific... Abstract Introduction Renal replacement therapy (RRT) is associated with high mortality and costs; however, no clinical guidelines currently provide specific... |
| SourceID | doaj pubmedcentral proquest gale pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 50 |
| SubjectTerms | Acute kidney injury Bias Biochemistry Biological markers Biomarkers Clinical practice guidelines Creatinine Critical care Critical Care Medicine Critical Illness - therapy Duration of Therapy Emergency Medicine Estimates Glomerular Filtration Rate Humans Intensive Intensive care Intensive care unit Kidney diseases Librarians Medicine Medicine & Public Health Meta-analysis Methods Mortality Nature Nephrology Patients Physiology Prediction Prognosis Quality Renal Replacement Therapy Systematic review Time Urea Urine Weaning |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3daxQxEA9SRHwRv12tEkHwi6V72Xz6Vm2LL1YpFfoWkmxCD657cncV_Ev8d53J5q7divri424mS5KZTGY2M78h5IVgQXfM-ZqFmGqujah18qmOwRihGXe6CbnYhDo81Ccn5sulUl8YEzbAAw8Lt9OGpEVkndd8woPxxqughGEiRbCcdda-jTJrZ6rcHygt23KHOdFyZwmaWvAaXSWmxKTWo1Mog_X_rpIvnUlX4yWvXJrms-jgNrlVjEi6Owz-DrkW-7vkxqdyTX6P_NwrQS7Qm4KFR-egGM6gB1aSp2Cm0hxVkplCMcGELiJ-cBFziBb-MKRDYtYPOu1pKOUQZvA0m9ECxbp8Rx29AIKmQxIMdX1Hz-LK1a7AndBXe5_7fXp0dPz6Pvl6sH_84WNdKjDUQUqzqlXjvA88-OSNM1jYquVJGtdK13atFGDMgYaQ3iVgURN5o7s26kbq2BiwO7r2Adnq5318RKhPCVjpnPHowpmJVqmBT0gTE9dBuYo0a47YUODJsUrGzGY3RUs7MNECEy0y0eqKvNl0-TZgc_yN-D2yeUOIsNr5BQibLcJm_yVsFXmJQmJx88Pggis5DDBFhNGyuxK8T7TYeEW2R5SwacO4eS1mtiiNpUXkIQbutpEVeb5pxp4YCNfH-XmmEUYwxYDm4SCVmym1rMGK8TBKNZLX0ZzHLf30NEOKK8yRNqoib9eSfTGsPy7p4_-xpE_ITYb7EmvstNtka7U4j0_J9fB9NV0unuVd_QvL9FA4 priority: 102 providerName: Directory of Open Access Journals – databaseName: SpringerLink Contemporary (1997 - Present) dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3ZbtQw0IKCEC_clEBBRkLiUkTWiS_eCm3FCwUtBfXNsh2brrTNot0tEl_C7zLjeLekHBI8Jh5bHmdmPJO5CHnEmVcts65kPsSyUZqXKrpYBq81V6yxqvKp2YTc31eHh_p9zuNerKLdVy7JJKkTWyvxYgHSljclmjtM8lGpzpMLcNsp7Ncw_vBp7TqQStTZffnbaYMLKNXp_1Ua_3QdnQ2VPOMvTdfQ3tX_QuAauZK1Trrdk8l1ci50N8ilt9mvfpN838lRMbAeBZWQzkCSHMMMbD1PQa-lKQwlfUWKGSl0HnDBeUgxXfiHkfaZXN_opKM-90-YwtN0SnPt1sVLaulp5WjaZ81Q27X0OCxtaXN9FPpk5123S8fjg6e3yMe93YPXb8rcsqH0QuhlKSvrnG-8i05bjZ2w6iYKbWth67YWHLQ_ECnC2cgDq0JTqbYOqhIqVBoUlba-TTa6WRfuEOpirH20Vju0-fRIyVjBEkKH2CgvbUGq1Xc0Ptczx7YaU5PsGiVMf-AGDtzggRtVkGfrKV_6Yh5_A36FxLEGxDrc6cVs_tlktjawQwWYtE41o8Zrp530kmvGYwC7TrGCPEbSMigtYHPe5qQHQBHrbpltAeYqqnhNQbYGkMDlfji8Ik6TpczCYKkiBva5FgV5uB7GmRg514XZSYLhmjPJAGazp-U1SjWrsMU87FIOqHyA83CkmxylGuQSk6q1LMjzFa2fbuuPR3r3n6DvkcsMmQW779RbZGM5Pwn3yUX_dTlZzB8kpv8BA5VT0A priority: 102 providerName: Springer Nature |
| Title | Determining the optimal time for liberation from renal replacement therapy in critically ill patients: a systematic review and meta-analysis (DOnE RRT) |
| URI | https://link.springer.com/article/10.1186/s13054-020-2751-8 https://www.ncbi.nlm.nih.gov/pubmed/32054522 https://www.proquest.com/docview/2357209496 https://www.proquest.com/docview/2355952726 https://pubmed.ncbi.nlm.nih.gov/PMC7020497 https://doaj.org/article/3cf85e2db8414c9b9b7c75925fe42882 |
| Volume | 24 |
| WOSCitedRecordID | wos000515630000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVADU databaseName: Open Access: BioMedCentral Open Access Titles customDbUrl: eissn: 1364-8535 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017863 issn: 1364-8535 databaseCode: RBZ dateStart: 19970101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1364-8535 dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0017863 issn: 1364-8535 databaseCode: DOA dateStart: 19980101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1364-8535 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017863 issn: 1364-8535 databaseCode: 7X7 dateStart: 20150101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Proquest Central customDbUrl: eissn: 1364-8535 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017863 issn: 1364-8535 databaseCode: BENPR dateStart: 20150101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1364-8535 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017863 issn: 1364-8535 databaseCode: PIMPY dateStart: 20150101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: Springer Journals customDbUrl: eissn: 1364-8535 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017863 issn: 1364-8535 databaseCode: RSV dateStart: 19970401 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LbxMxELagRYgL78dCiYyExEtWN95dr80FtTQVHBqiUFA4WbbXC5HSTUlSJH4Jf5cZx0nYInrhEsmxvfFkP49n7PF8hDwtuJMVN5Zx52uWS1UwWduaeadUIXluZOoC2UTZ78vRSA3ihts8hlWudGJQ1NXU4R75LqZl4eCLKPHm9DtD1ig8XY0UGpfJNtJmI87L0drh6pYyMKl1M5EzWJaKeKrZlWJ3Drq7yBk6T7wsuky21qWQvv9vJf3HKnU-gvLcMWpYnQ5v_K9cN8n1aJfSvSWQbpFLvrlNrh7Fk_c75NdBjJuBn6dgNNIp6JoT6IHk9BQsXxoCVcJ7pnhnhc48PnDmQ9QX7kHS5V2vn3TcUBcZFiZQmkxozO46f00N3eSWpst7NdQ0FT3xC8NMzKBCnx98aHp0ODx-cZd8Ouwdv33HIqkDc0KoBStTY63Lna2tMgq5srK8FspkwmRVJgqwD0HpCGvqwvPU56msMi9TIX2qwJSpsntkq5k2_gGhtq4zVxujLHqFCgBQp_AIoXydS1eahKSrV6pdzHiOxBsTHTwfKfQSBRpQoBEFWibk5brL6TLdx0WN9xEn64aYqTt8MZ191XHiaxihBEkqK_Nu7pRVtnRloXhRe_D8JE_IM0SZRn0Cg3MmXosAETEzl94T4NCiEZgnZKfVEvSAa1evAKajHprrDboS8mRdjT0xtq7x07PQplAFLzm0ub-E9VqkjKdIQg-jLFuAb8ncrmnG30KW8hKvXasyIa9WU2MzrH_-pQ8vFuIRucZxyiIhT7ZDthazM_-YXHE_FuP5rBMmf_iUHbK93-sPhp2wxwKlwfujwRcoDT9-_g27nmaC |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Jb9QwFLZKQcCFfQkUMBKITVETJ_GChFBhWrXqAqoGaW7GcRwYaZopM1NQfwn_gt_Ie04yQ4rorQcukSZe5Of5_Jb4LYQ8yZiVBTN5yKwrw1SqLJRlXobOKpVJlhoZWV9sQuztycFAfVwiv9pYGHSrbHmiZ9TF2OI38lVMy8LAFlH87eG3EKtG4e1qW0KjhsW2O_4BJtv0zVYP_t-njG2s999vhk1VgdByrmahiEye29TmZa6MwmJNSVpyZRJukiLhGSgogHqemzJzLHJpJIvEyYhLFymQpUUC854j54GPCzT2xGBu4MVC-sptccLTEMRg1tyixpKvTkFWZGmIxhoTWRzKjhz05QL-Fgp_SMWTHpsnrm29NNy4-r_t4zVypdG76Vp9UK6TJVfdIBd3G8-Cm-Rnr_ELAnIpKMV0DLz0AEbA01HQ7Kl3xPE4phiTQycOJ5w479WG31hpHct2TIcVtU0FiRH8Go1ok712-poausidTeu4IWqqgh64mQlNkyGGPu99qNbp_n7_xS3y6Uy25TZZrsaVu0toXpaJLY1ROVq9KpaijGAKrlyZSitMQKIWQto2Gd2xsMhIe8tOcl2jTgPqNKJOy4C8nA85rNOZnNb5HeJy3hEzkfsX48kX3TA2DSuUQEmRyzROrcpVLqzIFMtKB5atZAF5hqjWyC9hcdY0YR9AImYe02scDHZUctOArHR6Ap-z3eYW0Lrhs1O9QHNAHs-bcST6DlZufOT7ZCpjgkGfO_UxmpOUMCAZTJCAiM4B69DcbamGX30WdoFh5UoE5FV7FBfL-ueW3judiEfk0mZ_d0fvbO1t3yeXGbILLD6UrJDl2eTIPSAX7PfZcDp56BkPJZ_P-oT-BpAxu7A |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Zb9QwELagoIoX7iNQwEhIXIqadXzyVmhXIGCpSkF9s2zHhpW22Wp3i8Qv4e_icbxbUg4J8Zh4bHmc8XgmnvkGoYeMONkQY0vifCipVKyUwYbSO6WYJNTIyqViE2I0kgcHajfXOZ0vo92XV5JdTgOgNLWLzaMmdFtc8s151LyMluD6EMEGpTyLzlGIowd3_cOn1TWCkLzOV5m_7dY7jBJm_6-a-aej6XTY5Km703QkDS_9NzOX0cVsjeKtTnyuoDO-vYrW3-X79mvo-3aOlolj42gq4mnUMIexB5Skx9HexSk8JX1dDJkqeOZhwJlPsV7w5xF3GV7f8LjFLtdVmMSnyQRnTNf5c2zwCaI07rJpsGkbfOgXpjQZNwU_3n7f7uC9vf0n19HH4c7-y1dlLuVQOs7VohSVsdZRZ4NVRkGFrJoGrkzNTd3UnEWrMKoabk1gnlSeVrKpvay49JWKBkxT30Br7bT1txC2IdQuGKMs-IJqIEWo4hBc-UClE6ZA1fKbapdxzqHcxkQnf0dy3S24jguuYcG1LNDTVZejDuTjb8QvQFBWhIDPnV5MZ5913u46zlBGThor6YA6ZZUVTjBFWPDR35OkQI9AzDRokTg5Z3IyRGQR8Lj0Fo9uLJh-tEAbPcq4-12_eSmoOmufuQYIIxL9dsUL9GDVDD0hoq710-NEwxQjgkSam51cr1iqSQWl5-MsRU_iezz3W9rxl4RNLiDZWokCPVvK_cm0_rikt_-J-j5a390e6revR2_uoAsE9g0U6Kk30NpiduzvovPu62I8n91LuuAHYo9fmA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Determining+the+optimal+time+for+liberation+from+renal+replacement+therapy+in+critically+ill+patients%3A+a+systematic+review+and+meta-analysis+%28DOnE+RRT%29&rft.jtitle=Critical+care+%28London%2C+England%29&rft.date=2020-02-13&rft.pub=Springer+Nature+B.V&rft.issn=1364-8535&rft.eissn=1366-609X&rft.volume=24&rft.spage=1&rft_id=info:doi/10.1186%2Fs13054-020-2751-8 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1364-8535&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1364-8535&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1364-8535&client=summon |