Evidence map›Paper›PMID 39358650›Full record

ArticleDiscover oncology2024

Screening of prognostic factors and survival analysis based on histological type for perimenopausal endometrial carcinoma treated with hysterectomy.

Luyao Kang, Gaili Ji, Duan Liu, Yaping Wang, Jie Meng, Hongyu Li

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Luyao KangDepartment of Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Gaili JiDepartment of Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Duan LiuDepartment of Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Yaping WangDepartment of Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Jie MengDepartment of Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Hongyu LiDepartment of Gynecologic Oncology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. lihongyu99@qq.com.

Funding

National Natural Science Foundation of China No. 82272332
6 · The paper itself

Abstract

purposeThis study aimed to explore the prognostic factors and survival patterns based on the histological type for the perimenopausal endometrial carcinoma (PIPEC) patients treated with hysterectomy.

methodsThe PIPEC patients were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Methods of random survival forest (RSF) and Cox regression were used to identify the possible prognostic factors of PIPEC patients. Then overall survival (OS) and cancer-specific survival (CSS) of PIPEC data were analyzed by histological types with regional lymph nodes status and SEER-stage to investigate the survival patterns of the PIPEC patients.

resultsA total of 14,178 PIPEC patients were included in the study. We found tumor size, grade, histology, SEER-stage, AJCC-stage, AJCC-T stage, metastasis to distant organs and regional lymph nodes status had a significant survival outcome for PIPEC both for OS and CSS (all p < 0.05). Regardless of regional lymph nodes status and SEER-stage for OS and CSS, the low-grade endometrioid carcinoma had the best prognosis outcome, followed by the mix cell adenocarcinoma and high-grade endometrioid carcinoma, while the carcinosarcoma and undifferentiated carcinoma had relatively poor prognosis outcome. And the survival patterns of different histological types of PIPEC were diverse and changed along with the time.

conclusionWe identified the possible prognostic factors of PIPEC patients treated with hysterectomy. And survival analysis based on the regional lymph nodes status and SEER-stage revealed the different histological types of PIPEC had diverse survival patterns, which will be helpful for guiding clinical practice.

Indexed as

Endometrial carcinomaPerimenopausePrognosisRegional lymph nodes statusSEER

Identifiers

PMID39358650
PMCPMC11447193

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.