Evidence map›Paper›PMID 35373031›Full record

ReviewKidney3602021

How To Prescribe And Troubleshoot Continuous Renal Replacement Therapy: A Case-Based Review.

Javier A Neyra, Lenar Yessayan, Melissa L Thompson Bastin, Keith M Wille, Ashita J Tolwani

Open access · diamondAbstract readReview
In one paragraph

Review in Kidney360, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Guideline
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Javier A NeyraDivision of Nephrology, Bone and Mineral Metabolism, Department of Internal Medicine, University of Kentucky, Lexington, Kentucky.
Lenar YessayanDivision of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, Michigan.
Melissa L Thompson BastinDepartment of Pharmacy Practice and Science, University of Kentucky College of Pharmacy, Lexington, Kentucky.
Keith M WilleDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Ashita J TolwaniDivision of Nephrology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
University of Alabama at Birmingham · USUniversity of Kentucky · USUniversity of Michigan–Ann Arbor · US

Funding

Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement TherapyR56DK126930 · NIDDK · UNIVERSITY OF KENTUCKY · PI NADKARNI, GIRISH NITIN, NEYRA, JAVIER A. · 2020 to 2020
$100k
NIDDK NIH HHS R56 DK126930
6 · The paper itself

Abstract

Continuous RRT (CRRT) is the preferred dialysis modality for solute management, acid-base stability, and volume control in patients who are critically ill with AKI in the intensive care unit (ICU). CRRT offers multiple advantages over conventional hemodialysis in the critically ill population, such as greater hemodynamic stability, better fluid management, greater solute control, lower bleeding risk, and a more continuous (physiologic) approach of kidney support. Despite its frequent use, several aspects of CRRT delivery are still not fully standardized, or do not have solid evidence-based foundations. In this study, we provide a case-based review and recommendations of common scenarios and interventions encountered during the provision of CRRT to patients who are critically ill. Specific focus is on initial prescription, CRRT dosing, and adjustments related to severe hyponatremia management, concomitant extracorporeal membrane oxygenation support, dialysis catheter placement, use of regional citrate anticoagulation, and antibiotic dosing. This case-driven simulation is made as the clinical status of the patient evolves, and is on the basis of step-wise decisions made during the care of this patient, according to the specific patient's needs and the logistics available at the corresponding institution.

Indexed as

Acute Kidney InjuryContinuous Renal Replacement TherapyCritical IllnessHumansRenal DialysisRenal Replacement Therapyacid-base disorderacute kidney injury and ICU nephrologyAKIanticoagulationcitrateCRRTECMOfluid removalhyponatremiaICUkidneyrenal replacement therapy

Identifiers

PMID35373031
PMCPMC8741005
OpenAlexW3113128258

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.