Evidence map›Paper›PMID 39468467›Full record

ArticleBMC nephrology2024

Unraveling the association between chronic inflammatory demyelinating polyradiculoneuropathy and peritoneal Dialysis.

Yu-Jen Chen, Ting-Ya Chang, Cheng-Hsu Chen

Abstract read
In one paragraph

Article in BMC nephrology, 2024. 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. Chronic inflammatory demyelinating polyneuropathy in end-stage renal disease patients: a case series study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    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

3 authors.

Yu-Jen ChenDivision of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Ting-Ya ChangDepartment of Neurology, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan.
Cheng-Hsu ChenDivision of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan. cschen920@gmail.com.

Funding

Taichung Veterans General Hospital T1107805
6 · The paper itself

Abstract

backgroundChronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is a rare disease seen in the general population and has been reported as showing an increased incidence in the peritoneal dialysis (PD) population, as documented in case reports.

methodsWe conducted a case-control study using data from the Taichung Veterans General Hospital electric medical record database from the years 2010 to 2023. We defined cases as CIDP with End-stage kidney disease (ESKD) and controls as without CIDP. A logistic regression analysis was used to investigate the association between CIDP and dialysis modality, age, gender, dialysis duration, plasma potassium > 5.5 mEq/L and < 2.5 mEq/L, and intact parathyroid hormone (i-PTH) > 613 pg/mL.

resultsOur findings suggest that PD may be a risk factor in the ESKD population (Odds ratio: 5.125, C.I.: 1.078 ~ 24.372, p = 0.040) according to logistic regression analysis. Dialysis duration, gender, diabetes mellitus, HbA1c > 7%, hypokalemia, hyperkalemia, and hyperparathyroidism did not show an association with CIDP.

conclusionThere seems to be an association between PD and CIDP in this case-control study. Possible mechanisms may involve systemic inflammation induced by peritoneal dialysate exchange or the content of the dialysate. Further studies are still needed.

Indexed as

Kidney Failure, ChronicPeritoneal DialysisPolyradiculoneuropathy, Chronic Inflammatory DemyelinatingAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedParathyroid HormoneRisk FactorsTaiwanParathyroid Hormone

Identifiers

PMID39468467
PMCPMC11514778

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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.