Evidence map›Paper›PMID 39526330›Full record

ArticleRenal failure2024

Risk factors, management and outcomes for peritoneal dialysis access damage.

Ruoxi Liao, Xueli Zhou, Xia Liu, Xueqin He, Li Pu, Dengyan Ma, Hui Zhong

Abstract read
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Ruoxi LiaoDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Xueli ZhouDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Xia LiuDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Xueqin HeDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Li PuDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Dengyan MaDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Hui ZhongDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPeritoneal dialysis (PD) access damage is an uncommon complication of PD. This study aimed to describe the characteristics, management and outcomes of PD access damage.

methodsThis retrospective study included patients who suffered from PD access damage between January 2018 and January 2024 at the PD Center of West China Hospital. Patient characteristics and access damage information were collected from medical records.

resultsA total of 128 PD patients without PD access damage were included in the control group. A total of 45 patients (51% male; aged 58 ± 14 years) suffered from 49 cases of PD access damage. Multivariate logistic analysis revealed that previous peritonitis [odds ratio (OR) 3.93; 95% confidence interval (CI) 1.56 to 9.94] and assisted PD (OR 4.20; 95% CI 1.25 to 14.12) were risk factors, while catheter belt use (OR 0.16; 95% CI 0.06 to 0.44) and training frequency per year (0.34; 95% CI 0.19 to 0.64) were protective factors against PD access damage. Managements included cutting and repairing (

conclusionsIn conclusion, to avoid PD access damage, catheter belt and routine retraining are recommended. Once PD access damage is identified, patients should clamp the catheter, take prophylactic antibiotics and resort to the treatment team. The treatment team should evaluate PD access and handle it according to a clinical protocol.

Indexed as

Catheters, IndwellingPeritoneal DialysisPeritonitisAdultAgedChinaDevice RemovalFemaleHumansKidney Failure, ChronicLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsmanagementoutcomePeritoneal dialysisperitoneal dialysis catheterrisk factor

Identifiers

PMID39526330
PMCPMC11556276

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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.