Evidence map›Paper›PMID 39164645›Full record

Observational studyBMC pediatrics2024

Development and validation of a nomogram for catheter-related thrombosis prediction in children with central venous catheter: a retrospective observational study.

Wangfang Xie, Bin Xu, Xiaofang Lou, Jihua Zhu, Sheng Ye

Abstract readObservational StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Role of Artificial Intelligence in Congenital Heart Disease and Interventions.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Review
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.

Wangfang XieComprehensive Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310003, Zhejiang, China.
Bin XuDepartment of Ultrasound, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310003, Zhejiang, China. xbzjhz@zju.edu.cn.
Xiaofang LouDepartment of Nursing, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310003, Zhejiang, China.
Jihua ZhuDepartment of Nursing, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310003, Zhejiang, China.
Sheng YeComprehensive Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, 310003, Zhejiang, China.

Funding

the Project of the Health Department of Zhejiang Province in 2019 No. 2019KY440the Project of the Health Department of Zhejiang Province in 2020 No. 2020KY613
6 · The paper itself

Abstract

backgroundCatheter-related thrombosis (CRT) is a thrombotic complication associated with using central venous catheters (CVCs). Although risk factors for CRT were identified in children, no nomograms or predictive tools are available for the pediatric population with CVCs. This study aimed to develop and validate a prediction model of asymptomatic CRT in children with CVCs.

methodsThis retrospective observational study included consecutive pediatric patients who admitted to the Children's Hospital Zhejiang University School of Medicine and received CVCs between October and December 2021.

resultsThis study included 669 patients, 553 (314 males, aged 22.00 [0.36, 180.00] months, 62 with CRT) were in the training set, and 116 (62 males, aged 15.00 [1.13, 156.00] months, 16 with CRT) were in the validation set. Multivariate logistic regression showed that a catheter time of 0-3 days (OR = 0.201, 95%CI: 0.081-0.497, P = 0.001), catheter time of 4-7 days (OR = 0.412, 95%CI: 0.176-0.964, P = 0.041), male (OR = 3.976, 95%CI: 1.864-4.483, P < 0.001), congenital heart diseases (OR = 0.277, 95%CI: 0.078-0.987, P = 0.048), postoperative (OR = 0.161, 95%CI: 0.072-0.360, P < 0.001), and femoral CVC (OR = 2.451, 95%CI: 1.129-5.318, P = 0.002) were independently associated with CRT. The nomogram incorporating these variables showed relatively good discrimination (AUC = 0.77, 95%CI: [0.65, 0.90]) and calibration abilities in the validation set, and the decision curve analysis (DCA) yielded a clinical net benefit.

conclusionA prediction model for CRT in children with CVC was established based on catheter time, sex, diseases, postoperative, and catheter vein. The nomogram based on logistic regression model showed favorable predictive performance.

Indexed as

Central Venous CathetersNomogramsThrombosisAdolescentCatheterization, Central VenousChildChild, PreschoolFemaleHumansInfantInfant, NewbornLogistic ModelsMaleRetrospective StudiesRisk FactorsCatheter-related thrombosisCentral venous catheterChildrenPrediction model

Identifiers

PMID39164645
PMCPMC11334387

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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.