Evidence map›Paper›PMID 42251081›Full record

ArticleScientific reports2026

An exploratory assessment of icodextrin for ultrafiltration failure subtypes in peritoneal dialysis.

Chuishun Yang, Wenjuan Lei, Xingli Cai, Jun Zhou

Abstract read
In one paragraph

Article in Scientific reports, 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
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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

4 authors.

Chuishun Yang *Department of Nephrology and Rheumatology, Haikou People's Hospital Affiliated to Xiangya School of Medicine, Haikou, China.
Wenjuan Lei *Department of Nephrology and Rheumatology, Haikou People's Hospital Affiliated to Xiangya School of Medicine, Haikou, China.
Xingli CaiDepartment of Nephrology and Rheumatology, Haikou People's Hospital Affiliated to Xiangya School of Medicine, Haikou, China. 463491760@qq.com.
Jun ZhouDepartment of Nephrology and Rheumatology, Haikou People's Hospital Affiliated to Xiangya School of Medicine, Haikou, China. 13876051751@163.com.

Funding

Hainan Provincial Natural Science Foundation of China 825MS184
6 · The paper itself

Abstract

Although icodextrin was initially developed for rapid transporters (type 1 UFF), emerging evidence suggests its effects might be independent of peritoneal membrane transport characteristics. This study aimed to evaluate the suitability of 7.5% icodextrin for all PD patients with UFF. We enrolled 19 patients with UFF and 24 non-UFF PD controls. All participants underwent standard, modified, Mini-, and Double-Mini peritoneal equilibrium tests (PET). Key parameters assessed included sodium sieving (∆DNa60, ∆D/PNa60), osmotic conductance to glucose, small-pore ultrafiltration (UFSP), free water transport (FWT), and net ultrafiltration. Correlation analyses were conducted between icodextrin-induced UF and these metrics. Descriptive analysis revealed variations in icodextrin UF, ∆D/PNa60, and FWT were identified across the four UFF types. Numerically, icodextrin UF was highest in type 1 and type 2 UFF, while FWT appeared lower in type 2. Net icodextrin UF correlated positively with ∆D/PNa60, ∆DNa60, and UFSP. Our findings indicate that 7.5% icodextrin may be suitable for PD patients with type 1 and 2 UFF, but appears perhaps less effective in those with type 3 and 4 UFF.Moreover, icodextrin ultrafiltration may be predictable through UFSP measurement, offering a potential clinical tool for patient management.

Indexed as

Dialysis SolutionsIcodextrinPeritoneal DialysisAgedFemaleHumansMaleMiddle AgedPeritoneumUltrafiltrationDialysis SolutionsIcodextrinIcodextrinOsmotic conductance to glucoseSodium sievingUltrafiltrationUltrafiltration failure

Identifiers

PMID42251081
PMCPMC13482582

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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.