Evidence map›Paper›PMID 37942122›Full record

ArticlePatient preference and adherence2023

Factors Influencing the Choice of Automated Peritoneal Dialysis Treatment by Patients Receiving Home Peritoneal Dialysis.

Fang Cao, Fuyuan Hong, Yiping Ruan, Miao Lin

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2023. 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, top 73% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

Fang CaoDepartment of Nephrology, Provincial Clinical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.
Fuyuan HongDepartment of Nephrology, Provincial Clinical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.
Yiping RuanDepartment of Nephrology, Provincial Clinical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.
Miao LinDepartment of Nephrology, Provincial Clinical College, Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, People's Republic of China.ORCID 0000-0002-3327-6340
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study was conducted to understand the influencing factors for home peritoneal dialysis patients choosing APD and to provide a scientific basis for improving the completion rate of APD treatment and the follow-up of peritoneal dialysis patients. Methods: The study was a cross-sectional questionnaire-based study. A total of 588 patients on peritoneal dialysis were randomly selected from 6 regions in Fujian Province in southern China using a stratified cluster sampling method. Results: The mean age of the patients were 56.5 ± 14.73 years. In the univariate analysis, knowledge, user experience and family support were the factors that affected patients' choice of APD (all Conclusion: Patients' knowledge of APD, experience in application and family support were the main factors affecting the choice of APD as a treatment mode ( Relevance to Clinical Practice: This study provides scientific evidence for improving APD treatment completion rates and improving patient quality of life.

Indexed as

APDdialysis modeend-stage kidney diseasefollow upinfluencing factorsperitoneal dialysis

Identifiers

PMID37942122
PMCPMC10629401
OpenAlexW4388303226

What OpenQuestion holds

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LicenceCC BY-NC
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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.