Evidence map›Paper›PMID 39781483›Full record

ArticleClinical kidney journal2025

Change in adiposity indices after 1 year of peritoneal dialysis: a single-center cohort study.

Zhikai Yang, Jack Kit-Chung Ng, Winston Wing-Shing Fung, Gordon Chun-Kau Chan, Kai-Ming Chow, Cheuk-Chun Szeto

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zhikai YangCarol & Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine & Therapeutics, Prince of Wales Hospital, Shatin, Hong Kong, China.
Jack Kit-Chung NgCarol & Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine & Therapeutics, Prince of Wales Hospital, Shatin, Hong Kong, China.
Winston Wing-Shing FungCarol & Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine & Therapeutics, Prince of Wales Hospital, Shatin, Hong Kong, China.ORCID https://orcid.org/0000-0001-7676-7628
Gordon Chun-Kau ChanCarol & Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine & Therapeutics, Prince of Wales Hospital, Shatin, Hong Kong, China.ORCID https://orcid.org/0000-0003-4681-7326
Kai-Ming ChowCarol & Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine & Therapeutics, Prince of Wales Hospital, Shatin, Hong Kong, China.
Cheuk-Chun SzetoCarol & Richard Yu Peritoneal Dialysis Research Centre, Department of Medicine & Therapeutics, Prince of Wales Hospital, Shatin, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Weight gain is common after starting peritoneal dialysis (PD). Several adiposity indices have been developed recently as potential indicators of visceral adiposity and lipid accumulation. We aim to investigate the prevalence and prognostic implications of the change in adiposity indices after 1 year of PD. Methods: We recruited 110 patients treated with PD for 12 months. Adiposity indices, including triglyceride glucose index, lipid accumulation product, visceral adiposity index and conicity index, were measured at baseline and then 1 year after PD started. The relation between their changes (Δ) and other clinical and biochemical parameters, as well as survival and hospitalization rates were analyzed. Results: After 1 year of PD, more than half of the patients had increased adiposity indices. The change in adipose tissue mass significantly correlated with the concomitant changes in triglyceride glucose index (ΔTyGI) (r = 0.25, Conclusions: Increased adiposity indices were common after 1 year of PD. The changes in adiposity indices had variable correlation with the change in adipose tissue mass, insulin resistance and anthropometric parameters. Further studies are required to identify simple metabolic parameters with a prognostic impact that could be suitable for serial monitoring.

Indexed as

lipid-related indicesperitoneal dialysisrenal failurevariation

Identifiers

PMID39781483
PMCPMC11704785

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