Developing a novel predictive model for identifying risk factors associated with being lost to follow-up among high-risk patients for recurrence following radical resection of hepatocellular carcinoma: the first report

A main effects model, namely the Wei-LTFU model, incorporating the seven significant factors was formulated to predict the likelihood of LTFU occurrence, ultimately aiming to assist healthcare workers in developing effective strategies to improve follow-up outcomes for patients.

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Publication Details

Journal
BMC Cancer
Published
2025-04-02
DOI
https://doi.org/10.1186/s12885-025-14030-1
Citations
2
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71
Controls
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article

Developing a novel predictive model for identifying risk factors associated with being lost to follow-up among high-risk patients for recurrence following radical resection of hepatocellular carcinoma: the first report

Liping Peng, Fangqiang Wei, Zeng-Qiang Yu, Jie Liu et al.
2 citations
BMC Cancer
Liver Disease Diagnosis and Treatment
2.71
article

Developing a novel predictive model for identifying risk factors associated with being lost to follow-up among high-risk patients for recurrence following radical resection of hepatocellular carcinoma: the first report

Liping Peng, Fangqiang Wei, Zeng-Qiang Yu, Jie Liu, Wenli Cao, Cheng-Fei Du
article en
2 citations

Abstract

A main effects model, namely the Wei-LTFU model, incorporating the seven significant factors was formulated to predict the likelihood of LTFU occurrence, ultimately aiming to assist healthcare workers in developing effective strategies to improve follow-up outcomes for patients.

BMC CancerVol. 25(1)
Zhejiang Provincial People's Hospital (CN), Hangzhou Medical College (CN)
Good health and well-being
Openalex Percentile: Top 11%
Liver Disease Diagnosis and Treatment
2.71
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