Evidence map›Paper›PMID 41413351›Full record

ArticleLangenbeck's archives of surgery2025

Development and validation of a risk-based nomogram for predicting peritoneal dialysis catheter dysfunction in end-stage renal disease patients.

Bin Zhao, Shanshan Guo, Wei Li, Hongqing Shang, Yutao Xing, Jing Liu, Yanwei Hu, Yuzhu Wang, Gang Fu

Abstract readValidation Study
In one paragraph

Article in Langenbeck's archives of surgery, 2025. 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

9 authors.

Bin Zhao *Department of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Shanshan Guo *Department of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Wei LiDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Hongqing ShangDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Yutao XingDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Jing LiuDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Yanwei HuDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Yuzhu WangDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China. 18701387950@163.com.
Gang FuDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Pecking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China. fugang126@126.com.

Funding

Beijing Haidian Hospital, (KYM2022003)
6 · The paper itself

Abstract

backgroundPeritoneal dialysis catheter (PDC) dysfunction significantly impacts patient survival. While individual risk factors are known, a practical tool that integrates multi-dimensional predictors-including surgical, anatomical, and postoperative parameters-for early risk stratification is lacking. This study evaluates open versus laparoscopic catheterization techniques and aims to develop such a predictive model.

methodsA retrospective cohort study analyzed 462 end-stage renal disease patients undergoing first PDC implantation (2022-2024). Data included clinical characteristics, surgical method (open/laparoscopic), and dysfunction events. Multivariate COX regression identified independent risk factors, and a nomogram was developed. Model performance was assessed via ROC and calibration curves, with Bootstrap validation.

resultsAmong 462 patients (324 modeling, 138 validation) with a median follow-up of 30.7 months, laparoscopic catheterization was associated with a significantly lower risk of dysfunction compared to the open approach (18% vs. 27%; hazard ratio [HR] 2.188, 95% CI 1.263-3.791, p = 0.005). Multivariate analysis identified five independent predictors of catheter dysfunction: history of abdominal surgery (HR 6.924, p < 0.001), open catheterization (HR 2.188, p = 0.005), diabetes (HR 2.373, p = 0.016), albumin < 30 g/L (HR 0.865, p < 0.001), and blood potassium < 4 mmol/L (HR 1.479, p = 0.015). The developed nomogram integrating these predictors showed outstanding discriminative performance, with C-indices of 0.953 (95% CI 0.940-0.967) in the modeling cohort and 0.951 (95% CI 0.929-0.972) in the validation cohort. Time-dependent ROC analysis further confirmed its predictive accuracy, with 1- and 2-year AUCs of 0.957/0.979 and 0.921/0.988 in the modeling and validation sets, respectively. Calibration curves showed close alignment between predicted and observed outcomes across both cohorts. The nomogram provides a clinically useful tool for individualized risk assessment and postoperative management.

conclusionsLaparoscopic catheterization reduces dysfunction risk. The presented nomogram is unique in its integration of readily available surgical, comorbidity, and nutritional metrics into a single, visual tool. It facilitates early identification of high-risk patients, thereby aiding individualized surgical planning and targeted postoperative monitoring to improve PDC longevity.

Indexed as

Catheters, IndwellingEquipment FailureKidney Failure, ChronicNomogramsPeritoneal DialysisAdultAgedFemaleHumansLaparoscopyMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsCatheter survivalLaparoscopyNomogramPeritoneal dialysis

Identifiers

PMID41413351
PMCPMC12799703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.