Evidence map›Paper›PMID 40410752›Full record

ArticleBMC nephrology2025

Development and validation of a nomogram for predicting CRBSI in hemodialysis: a retrospective cohort study.

Shan Wu, Fan Dai, Yanhong Wen, Chang Luo, Chuanfang Wu

Abstract readValidation Study
In one paragraph

Article in BMC nephrology, 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

5 authors.

Shan Wu *School of Nursing, University of South China, Hengyang, China.
Fan Dai *Ji'an Vocational and Technical College, Ji'an, China.
Yanhong WenNeurology Intensive Care Unit, Changsha Central Hospital Affiliated to University of South China, Changsha, China.
Chang LuoNeurology Intensive Care Unit, Changsha Central Hospital Affiliated to University of South China, Changsha, China.
Chuanfang WuDepartment of Nursing, Changsha Central Hospital Affiliated to University of South China, Changsha, China. 465385022@qq.com.

Funding

Changsha Natural Science Foundation kq2208435
6 · The paper itself

Abstract

objectivesTo develop and validate of a nomogram for predicting Catheter related bloodstream infection(CRBSI) in patients with maintenance hemodialysis.

methodsThis was a retrospective cohort study.A total of 756 patients underwent hemodialysis between January 2017 to December 2021 in purification center of the Affiliated Hospital of Changsha Central Hospital, University of South China were enrolled in this research.The demographic data, hemodialysis data, laboratory indexes of the patients were analyzed. Univariate analysis and multivariate Logistic regression were used to analyze the influencing factors of CRBSI in hemodialysis patients and a nomogram model was established.Area under the receiver operating characteristic curve(AUC) and Hosmer-Lemeshow(H-L)test were used to verify the discrimination and calibration of the model.

resultsAmong the 756 hemodialysis patients,64 patients developed CRBSI, with an incidence rate of 8.5%(64/756).The results of multivariate analysis showed that combined with diabetes mellitus、dialysis age、catheter retention time、C-reactive protein and procalcitonin were independent risk factors for CRBSI in hemodialysis patients(P < 0.05).The receiver operating characteristic curve analysis showed that the AUC of the model was 0.88 and the H-L test results showed that the model had good goodness of fit(χ

conclusionAn easy-to-use nomogram for prediction of CRBSI in hemodialysis patients is well developed.This risk assessment tool can effectively identify patients at high risk of CRBSI and may be useful for optimizing catheter management.

Indexed as

Catheter-Related InfectionsNomogramsRenal DialysisAdultAgedChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsCatheter related bloodstream infectionMaintenance hemodialysisNomogramPrediction modelRenal failure

Identifiers

PMID40410752
PMCPMC12100912

What Socratic 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 Socratic graph.