Evidence map›Paper›PMID 32054522›Full record

SynthesisCritical care (London, England)2020

Determining the optimal time for liberation from renal replacement therapy in critically ill patients: a systematic review and meta-analysis (DOnE RRT).

Riley Jeremy Katulka, Abdalrhman Al Saadon, Meghan Sebastianski, Robin Featherstone, Ben Vandermeer, Samuel A Silver, R T Noel Gibney, Sean M Bagshaw, Oleksa G Rewa

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174610 (Changes of Renal Resistive Index in Critically Ill Patients Undergoing Continuous Renal Replacement Therapy - Observational Study.), which is not on this map. Cited by 56 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 4 pooled it
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06174610 recruitingnot on this mapstarted 2023, after this paper: background citation

Changes of Renal Resistive Index in Critically Ill Patients Undergoing Continuous Renal Replacement Therapy - Observational Study.

TypeobservationalSponsorUniwersytecki Szpital Kliniczny w OpoluRan2023 to 2026Enrolled50ConditionsAcute Kidney InjuryArmsMeasurement of Renal Resistive Index
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 4 syntheses or guidelines pooled it, 93 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Riley Jeremy KatulkaDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124E Clinical Sciences Building 8440 112 St. NW, Edmonton, Alberta, T6G 2B7, Canada.ORCID 0000-0002-3947-3660
Abdalrhman Al SaadonDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124E Clinical Sciences Building 8440 112 St. NW, Edmonton, Alberta, T6G 2B7, Canada.
Meghan SebastianskiAlberta Strategy for Patient-Oriented Research (SPOR) SUPPORT Unit Knowledge Translation Platform, University of Alberta, 4-472 Edmonton Clinic Health Academy, 11405 - 87 Avenue, Edmonton, Alberta, T6G 1C9, Canada.
Robin FeatherstoneAlberta Strategy for Patient-Oriented Research (SPOR) SUPPORT Unit Knowledge Translation Platform, University of Alberta, 4-472 Edmonton Clinic Health Academy, 11405 - 87 Avenue, Edmonton, Alberta, T6G 1C9, Canada.
Ben VandermeerAlberta Strategy for Patient-Oriented Research (SPOR) SUPPORT Unit Knowledge Translation Platform, University of Alberta, 4-472 Edmonton Clinic Health Academy, 11405 - 87 Avenue, Edmonton, Alberta, T6G 1C9, Canada.
Samuel A SilverDivision of Nephrology, Department of Medicine, Queen's University, 94 Stuart Street, Kingston, Ontario, K7L 3N6, Canada.
R T Noel GibneyDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124E Clinical Sciences Building 8440 112 St. NW, Edmonton, Alberta, T6G 2B7, Canada.
Sean M BagshawDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124E Clinical Sciences Building 8440 112 St. NW, Edmonton, Alberta, T6G 2B7, Canada.
Oleksa G RewaDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124E Clinical Sciences Building 8440 112 St. NW, Edmonton, Alberta, T6G 2B7, Canada. rewa@ualberta.ca.
University of Alberta · CAAlberta Health Services · CAQueen's University · CA

Funding

CIHR
6 · The paper itself

Abstract

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.

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.

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.

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.

Indexed as

Critical IllnessRenal Replacement TherapyBiomarkersCreatinineDuration of TherapyGlomerular Filtration RateHumansPrognosisBiomarkersCreatinineAcute kidney injuryBiomarkersCreatinineIntensive care unitPredictionRenal replacement therapySystematic review

Identifiers

PMID32054522
PMCPMC7020497
OpenAlexW3005795094

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.