Evidence map›Paper›PMID 40624644›Full record

ArticleBMC nursing2025

Effectiveness of a smart management system in improving adherence and clinical outcomes of patients receiving peritoneal dialysis: a retrospective cohort analysis.

Yilin Zeng, Yan Yin, Jia Deng, Dai Chen, Lili Deng, Dan Wang, Yujun Huang, Jingjun Peng, Zhiming Ye

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

9 authors.

Yilin Zeng *Guangdong Provincial People's Hospital, Guangzhou, China. 498104587@qq.com.
Yan Yin *Guangdong Provincial People's Hospital, Guangzhou, China.
Jia DengGuangdong Provincial People's Hospital, Guangzhou, China.
Dai ChenGuangdong Provincial People's Hospital, Guangzhou, China.
Lili DengGuangdong Provincial People's Hospital, Guangzhou, China.
Dan WangGuangdong Provincial People's Hospital, Guangzhou, China.
Yujun HuangGuangdong Provincial People's Hospital, Guangzhou, China.
Jingjun Peng *Guangdong Provincial People's Hospital, Guangzhou, China.
Zhiming YeGuangdong Provincial People's Hospital, Guangzhou, China.

Funding

Guangdong Provincial Science and Technology Planning Project No.2023B110009Guangzhou Science and Technology Project No. 202206080010
6 · The paper itself

Abstract

backgroundPeritoneal dialysis (PD) is a widely used form of home dialysis. However, the efficacy of telehealth care in long-term management for PD patients remains unclear.

objectiveThe objective of this study is to assess the effectiveness of a smart management system in improving adherence, quality of life, and clinical outcomes in PD patients.

methodsThe study was a retrospective cohort analysis on PD patients who underwent new catheter placement between January 2022 and June 2023. The smart PD management system, an artificial intelligence (AI)-driven, nurse-led, patient-centered management system, was used to remotely monitor patients' health at home and assist healthcare team in patient management, serving as a complement to conventional clinic visits. Patient data, including dialysis diary, symptoms, laboratory test results, and medication records, were collected through a smartphone app and uploaded to a cloud server. An AI system conducted real-time data analysis and promptly notified the healthcare team upon detecting any abnormalities. Online health coaches and nurses provided personalized guidance and interventions to patients, addressing issues in real-time. The primary endpoints of the study were changes and achievement rates in blood pressure and laboratory test results associated with complications. Secondary endpoints included changes in adherence and quality of life at recruitment and end of follow-up.

resultsA total of 127 patients participated in the smart management system from January 2022 to June 2023 were included in the analysis. Most of them (94.5%) were receiving continuous ambulatory PD (CAPD). Over an average follow-up period of 11.0 (IQR 5.0-16.0) months, the average systolic blood pressure of the patients decreased from a baseline of 132.1 (SD 13.2) mmHg to 122.6 (SD 14.1) mmHg (P < 0.001). The overall blood pressure achievement rate (< 140/90 mmHg) increased from 61.4% at baseline to 79.5% (P = 0.001) at the end of the follow-up period. Regarding anemia, the average hemoglobin and the achievement rate increased from 98.8 (SD 19.8) g/L at baseline to 114.4 (SD 18.4) g/L (P < 0.001), and from 50.0 to 78.4% (P < 0.001), respectively. Improvements of varying degrees were observed in mineral and bone disorder, electrolyte balance, and nutritional status, even though they did not reach statistical significance. The patients' adherence to uploading dialysis diaries significantly increased from 78 to 95.7% (P < 0.001) during the last week of follow-up period compared to the first week after enrollment. Furthermore, there were observed improvements in the quality of life, including diet, sleep, and daily activities.

conclusionsThe utilization of the smart PD management system was associated with enhanced patient adherence, improved quality of life, and superior clinical outcomes in PD patients.

Indexed as

Artificial intelligenceEnd-stage kidney diseaseMobile appsPatient carePeritoneal dialysisQuality of lifeSelf-managementTelehealth careTreatment adherence

Identifiers

PMID40624644
PMCPMC12232734

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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.