Evidence map›Paper›PMID 42216976›Full record

ReviewPediatric nephrology (Berlin, Germany)2026

Neonatal continuous kidney replacement therapy.

Samantha L Krieger, Catherine Joseph, Michelle C Starr, Shina Menon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric nephrology (Berlin, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Samantha L KriegerDivision of Nephrology, Department of Pediatrics, Stanford University, Palo Alto, CA, USA.
Catherine JosephDivision of Nephrology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA.
Michelle C StarrDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Shina MenonDivision of Nephrology, Department of Pediatrics, Stanford University, Palo Alto, CA, USA. shinam@stanford.edu.ORCID http://orcid.org/0000-0001-8473-0307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, advances in neonatal nephrology have expanded the ability to provide kidney replacement therapy to increasingly smaller and more medically complex infants. The development and adaptation of devices designed specifically for infants have facilitated safer delivery of continuous kidney replacement therapy (CKRT), with reduced extracorporeal circuit volumes, smaller filters, lower blood flow requirements, and improved precision of fluid balance. As a result, CKRT use in critically ill neonates continues to increase. Indications for neonatal CKRT include acute kidney injury and fluid overload, as in older children and adults, but also extend to congenital kidney failure and inborn errors of metabolism. The neonatal population presents unique challenges related to vascular access and the need to provide adequate nutrition to support growth. A thorough understanding of solute clearance mechanisms, dosing strategies, device selection, anticoagulation options, and complication management is essential to optimize outcomes. This case-based educational review summarizes current principles, technologies, and available evidence guiding neonatal CKRT practice, with special considerations for neonates receiving prolonged course of CKRT for kidney failure.

Indexed as

Acute Kidney InjuryContinuous Renal Replacement TherapyRenal Replacement TherapyCritical IllnessHumansInfant, NewbornAcute kidney injuryKidney failureNeonatal renal replacement therapy

Identifiers

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.