Evidence map›Paper›PMID 39087116›Full record

ArticleWorld journal of gastrointestinal surgery2024

Establishment and validation of a predictive model for peripherally inserted central catheter-related thrombosis in patients with liver cancer.

Xiao-Fei Chen, Hao-Jun Wu, Tang Li, Jia-Bin Liu, Wen-Jie Zhou, Qiang Guo

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Article in World journal of gastrointestinal surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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4citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiao-Fei ChenDepartment of Thyroid Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.
Hao-Jun WuDepartment of Biliary Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.
Tang LiDepartment of Hepatobiliary and Pancreatic Surgery, Chengdu Shangjinnanfu Hospital, West China Hospital of Sichuan University, Chengdu 611730, Sichuan Province, China.
Jia-Bin LiuDepartment of Thyroid Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China.
Wen-Jie ZhouThe Second Department of General Surgery, Chengdu Shangjinnanfu Hospital, West China Hospital of Sichuan University, Chengdu 611730, Sichuan Province, China.
Qiang GuoDepartment of Vascular Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China. guoqiang6561@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeripherally inserted central catheters (PICCs) are commonly used in hospitalized patients with liver cancer for the administration of chemotherapy, nutrition, and other medications. However, PICC-related thrombosis is a serious complication that can lead to morbidity and mortality in this patient population. Several risk factors have been identified for the development of PICC-related thrombosis, including cancer type, stage, comorbidities, and catheter characteristics. Understanding these risk factors and developing a predictive model can help healthcare providers identify high-risk patients and implement preventive measures to reduce the incidence of thrombosis.

aimTo analyze the influencing factors of PICC-related thrombosis in hospitalized patients with liver cancer, construct a predictive model, and validate it.

methodsClinical data of hospitalized patients with liver cancer admitted from January 2020 to December 2023 were collected. Thirty-five cases of PICC-related thrombosis in hospitalized patients with liver cancer were collected, and 220 patients who underwent PICC placement during the same period but did not develop PICC-related thrombosis were randomly selected as controls. A total of 255 samples were collected and used as the training set, and 77 cases were collected as the validation set in a 7:3 ratio. General patient information, case data, catheterization data, coagulation indicators, and Autar Thrombosis Risk Assessment Scale scores were analyzed. Univariate and multivariate unconditional logistic regression analyses were performed on relevant factors, and the value of combined indicators in predicting PICC-related thrombosis in hospitalized patients with liver cancer was evaluated using receiver operating characteristic (ROC) curve analysis.

resultsUnivariate analysis showed statistically significant differences (

conclusionAge, KPS score, parenteral nutrition, TNM staging, distant metastasis, bone marrow suppression, and activities of daily living impairment are independent risk factors for PICC-related thrombosis in hospitalized patients with liver cancer, while catheter duration is a protective factor for the disease. The predictive model has an AUC of 0.827, indicating high predictive accuracy and clinical value.

Indexed as

Liver cancerModelPeripherally inserted central cathetersThrombosisVerify

Identifiers

PMID39087116
PMCPMC11287695

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