A time-dependent model for quantifying postoperative inflammatory trajectories and predicting survival in early triple-negative breast cancer

The time-dependent model effectively quantified the dynamic evolution of postoperative inflammation. The prognostic model integrating it with tumor staging significantly improved the accuracy of prognosis prediction in TNBC.

Authors

Institutions

Publication Details

Journal
World Journal of Surgical Oncology
Published
2025-12-26
DOI
https://doi.org/10.1186/s12957-025-04168-4
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A time-dependent model for quantifying postoperative inflammatory trajectories and predicting survival in early triple-negative breast cancer

Yu Sun, Yi Zeng, Guoquan Wen
World Journal of Surgical Oncology
Inflammatory Biomarkers in Disease Prognosis
article

A time-dependent model for quantifying postoperative inflammatory trajectories and predicting survival in early triple-negative breast cancer

Yu Sun, Yi Zeng, Guoquan Wen
article en

Abstract

The time-dependent model effectively quantified the dynamic evolution of postoperative inflammation. The prognostic model integrating it with tumor staging significantly improved the accuracy of prognosis prediction in TNBC.

World Journal of Surgical OncologyVol. 24(1)
Huizhou Central People's Hospital (CN), Guangzhou Medical University (CN), Huizhou University (CN)
Good health and well-being
Openalex Percentile: Top 31%
Inflammatory Biomarkers in Disease Prognosis
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.