A nomogram and risk stratification system for predicting survival in T1-2N0-1 breast cancer patients with liver metastasis in females: a population-based study

A predictive nomogram and risk stratification system were constructed to assess prognosis in T1-2N0-1 breast cancer patients with liver metastasis in females. The risk model established in this study had good predictive performance and could provide personalized clinical decision-making for future clinical work.

Authors

Institutions

Publication Details

Journal
BioMedical Engineering OnLine
Published
2024-08-12
DOI
https://doi.org/10.1186/s12938-024-01274-4
Citations
3
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A nomogram and risk stratification system for predicting survival in T1-2N0-1 breast cancer patients with liver metastasis in females: a population-based study

Lu Shen, Kaiyue Wang, Yiding Chen, Zhe Tang
3 citations
BioMedical Engineering OnLine
Breast Cancer Treatment Studies
0.86
article

A nomogram and risk stratification system for predicting survival in T1-2N0-1 breast cancer patients with liver metastasis in females: a population-based study

Lu Shen, Kaiyue Wang, Yiding Chen, Zhe Tang
article en
3 citations

Abstract

A predictive nomogram and risk stratification system were constructed to assess prognosis in T1-2N0-1 breast cancer patients with liver metastasis in females. The risk model established in this study had good predictive performance and could provide personalized clinical decision-making for future clinical work.

BioMedical Engineering OnLineVol. 23(1)
Zhejiang International Studies University (CN), Ministry of Education (NZ), Ministry of Education of the People's Republic of China (CN), Second Affiliated Hospital of Zhejiang University (CN), Zhejiang University (CN)
Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 26%
Breast Cancer Treatment Studies
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.