Evidence map›Paper›PMID 42636825›Full record

ArticleJournal of Yeungnam medical science2026

Research trends in peritoneal dialysis literature: a bibliometric and topic-modeling analysis of PubMed publications from 2016 to 2025.

Seok Hui Kang

Abstract read
In one paragraph

Article in Journal of Yeungnam medical science, 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

1 author.

Seok Hui KangDivision of Nephrology, Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea. kangkang@ynu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to characterize the contemporary landscape of peritoneal dialysis (PD) research published between 2016 and 2025 using PubMed-indexed publications.

methodsThis bibliometric and text-mining study analyzed publications related to PD indexed in PubMed from January 1, 2016, to December 31, 2025. Author keywords were standardized using text normalization. Abstracts were preprocessed using tokenization, stop-word removal, and term normalization to improve topic-modeling performance. Topic modeling was then applied to the processed abstracts to identify latent research themes.

resultsA total of 9,620 PD-related publications were identified between 2016 and 2025, with the annual output increasing from 838 publications in 2016 to 1,128 in 2025. The mean number of author keywords per publication was 3.89±2.99. A keyword analysis identified hemodialysis, peritonitis, mortality, kidney transplantation, and coronavirus disease 2019 as the major research themes. Co-occurrence network analysis revealed three thematic clusters related to dialysis modalities, PD complications, and patient outcomes. Topic modeling identified nine major research topics, with "Catheter complications" and "Mortality and outcomes" remaining the most prevalent throughout the study period. Notably, the prevalence of "Home dialysis" increased from 14.4% to 19.8%, indicating a growing research interest in patient-centered and home-based treatment strategies.

conclusionEmerging interest in home dialysis, patient-centered care, and peritoneal fibrosis suggests a shift toward optimizing long-term treatment experience and technique survival.

Indexed as

BibliometricsData miningMedical informaticsPeritoneal dialysis

Identifiers

PMID42636825
PMCPMC13681082

What OpenQuestion holds

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Registered trials

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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.