Evidence map›Paper›PMID 42729783›Full record

ArticleTelemedicine reports

Remote Monitoring in Automated Peritoneal Dialysis Improves Treatment Adherence and Reduces Hospitalization Burden: A Prospective Multicenter Cohort Study.

Ji Eun Kim, Myung Gyu Kim, Jin Joo Cha, Eun Jung Cho, Young Joo Kwon, Gang-Jee Ko

Abstract read
In one paragraph

Article in Telemedicine reports. 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

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

6 authors.

Ji Eun KimDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-3094-2229
Myung Gyu KimDepartment of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea.
Jin Joo ChaDepartment of Internal Medicine, Korea University Ansan Hospital, Gyeonggi-do, Republic of Korea.
Eun Jung ChoDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Young Joo KwonDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Gang-Jee KoDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Remote patient monitoring (RPM) in peritoneal dialysis (PD) has the potential to improve adherence and clinical outcomes, yet comparative real-world data among PD modalities are limited. This study aimed to compare PD treatment adherence, hospitalization burden, fluid status, and health care costs among patients undergoing continuous ambulatory PD (CAPD), automated PD (APD), and remote monitoring-assisted APD (RM-APD). Methods: In this prospective multicenter cohort study, 73 patients maintained on a single PD modality for ≥1 year were enrolled (CAPD: Results: The RM-APD group showed the highest treatment adherence (median 83.4%, interquartile range 81.0-88.2), compared with 81.0% in CAPD and 78.4% in APD (Kruskal-Wallis Conclusions: Integration of remote monitoring into APD was associated with improved adherence, reduced hospitalization burden, and better volume control compared with conventional PD modalities. These findings provide real-world evidence that RPM-enabled home dialysis can enhance both clinical outcomes and health care efficiency, supporting broader implementation of telehealth-based care models for patients with end-stage kidney disease.

Indexed as

automated peritoneal dialysishealth care costshome dialysishospitalizationpatient outcomesperitoneal dialysisremote patient monitoringtelehealthtreatment adherence

Identifiers

PMID42729783
PMCPMC13562868

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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.