Evidence map›Paper›PMID 39352771›Full record

ArticleRenal failure2024

Lost dwell time and cycler alarms in inpatient automated peritoneal dialysis at a tertiary care hospital.

Maria C Browne, Nasha Elavia, Adrienne Flowers, Ákos Géza Pethő, Abutaleb A Ejaz, Sarah Khan, Ami M Patel

Abstract read
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Maria C BrowneDivision of Nephrology, University of Maryland School of Medicine, Baltimore, MD, USA.
Nasha ElaviaDivision of Nephrology, University of Maryland School of Medicine, Baltimore, MD, USA.
Adrienne FlowersDivision of Nephrology, University of Maryland School of Medicine, Baltimore, MD, USA.
Ákos Géza PethőDepartment of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-9776-9841
Abutaleb A EjazDivision of Nephrology, University of Maryland School of Medicine, Baltimore, MD, USA.
Sarah KhanDivision of Nephrology, University of Maryland School of Medicine, Baltimore, MD, USA.
Ami M PatelDivision of Nephrology, University of Maryland School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDwell time is a critical component of automated peritoneal dialysis (APD) prescription, the stage at which transmembrane mass and fluid transfer occur. Loss of prescribed dwell time (LDT) can negatively influence the efficiency of APD. We investigated the incidence of LDT and related causes using APD in the acute care setting at a tertiary care center.

methodsRetrospective analysis was conducted of all inpatients receiving APD treatments from 1 December 2021 to 1 June 2023. Patient demographics, comorbidities, laboratory, and treatment data were extracted from electronic medical records and a propriety database.

results

conclusionThere was significant LDT and inadequate drain volume seen in about one-quarter and one-third of all inpatient APD treatments respectively. This can impact solute clearance and ultrafiltration.  Slow flow alarms were the most prevalent and the leading cause of LDT followed by inadequate drain volume. Future studies are required to investigate measures to reduce slow drain and improve drain volume in the hospital setting.   .

Indexed as

Clinical AlarmsPeritoneal DialysisTertiary Care CentersAdultAgedFemaleHumansInpatientsKidney Failure, ChronicMaleMiddle AgedRetrospective StudiesTime FactorsAPDAutomated peritoneal dialysiscyclerinadequate drain volumeslow drain

Identifiers

PMID39352771
PMCPMC11445918

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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.