Risk factors, survival analysis, and nomograms for high-grade endometrial stromal sarcoma patients with distant metastasis: a population-based study (2010–2019)

The two nomograms developed in this study accurately predict the occurrence and prognosis of HGESS patients with distant metastases, which may aid clinical decision-making.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-03-07
DOI
https://doi.org/10.3389/fonc.2025.1567195
Citations
1
Primary Topic
Uterine Myomas and Treatments
Type
article
Field-Weighted Citation Impact
2.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk factors, survival analysis, and nomograms for high-grade endometrial stromal sarcoma patients with distant metastasis: a population-based study (2010–2019)

Dongni Liang, Wei Kuang, Jing Zeng, Huanxin Sun et al.
1 citations
Frontiers in Oncology
Uterine Myomas and Treatments
2.06
article

Risk factors, survival analysis, and nomograms for high-grade endometrial stromal sarcoma patients with distant metastasis: a population-based study (2010–2019)

Dongni Liang, Wei Kuang, Jing Zeng, Huanxin Sun, Wei Wang, Cheng Wang, Yanqi Kou
article en
1 citations

Abstract

The two nomograms developed in this study accurately predict the occurrence and prognosis of HGESS patients with distant metastases, which may aid clinical decision-making.

Frontiers in OncologyVol. 15
Sichuan University (CN), West China Second University Hospital of Sichuan University (CN)
Good health and well-being
Openalex Percentile: Top 18%
Uterine Myomas and Treatments
2.06
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.