Evidence map›Paper›PMID 38877551›Full record

ArticleBMC women's health2024

Effect of different treatment modalities on the prognosis of stage IV epithelial ovarian cancer: analysis of the SEER database.

Shuyuan Zhang, Hongyong Zhang, Naer Jia, Suo Suo, Jianfeng Guo

Abstract read
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Article in BMC women's health, 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
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shuyuan Zhang *Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1277 JieFang Avenue, Jiang'an District, Wuhan, 420022, China.
Hongyong Zhang *Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Naer JiaDepartment of Obstetrics and Gynecology, People's Hospital Of Bortala Mongolian Autonomous Prefecture, Bortala Mongolian Autonomous Prefecture, Xinjiang Uygur Autonomous Region, China.
Suo SuoDepartment of Obstetrics and Gynecology, People's Hospital Of Bortala Mongolian Autonomous Prefecture, Bortala Mongolian Autonomous Prefecture, Xinjiang Uygur Autonomous Region, China.
Jianfeng GuoDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 1277 JieFang Avenue, Jiang'an District, Wuhan, 420022, China. guojf@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis of advanced ovarian cancer is often poor. Although there are several treatment options for stage IV epithelial ovarian cancer, it is not clear which treatment will benefit the patient's prognosis.We conducted an analysis using the SEER database to compare the impact of different treatment modalities on the prognosis of advanced ovarian cancer.

methodsThe present study conducts a retrospective analysis of relevant data from the SEER database pertaining to patients diagnosed with stage IV epithelial ovarian cancer between 2011 and 2020 (n = 5345). Statistical methods including Kaplan-Meier curves, log-rank tests, and Cox regression analysis are employed to ascertain the impact of different treatment regimens on the prognosis of patients with stage IV epithelial ovarian cancer.

resultsAmong patients with stage IV epithelial ovarian cancer, age ≥ 60 and the presence of lung metastases or multiple metastases were identified as poor prognostic factors. Conversely, being Asian or Pacific Islander, married, and testing negative for CA125 were associated with favorable prognoses. In terms of the choice of treatment for patients, surgery plus chemotherapy was the best treatment modality, and timely surgery could significantly improve the prognosis of patients, but there was no difference between chemoradiotherapy alone and the surgery group among patients with lung metastases.

conclusionThe prognosis of patients with stage IV epithelial ovarian cancer is influenced by many factors. In terms of the choice of treatment, patients with surgery plus chemotherapy have the best prognosis. In cases where lung metastases are inoperable, a combination of radiotherapy and chemotherapy can be used. In other cases, radiotherapy does not improve outcomes in patients with stage IV epithelial ovarian cancer. This study provides a basis for the choice of treatment for patients with stage IV epithelial ovarian cancer.

Indexed as

Carcinoma, Ovarian EpithelialNeoplasm StagingOvarian NeoplasmsSEER ProgramAdultAgedCombined Modality TherapyDatabases, FactualFemaleHumansKaplan-Meier EstimateMiddle AgedPrognosisRetrospective StudiesUnited StatesCarcinoma, Ovarian epithelialChemotherapyRadiotherapySEER databaseSurgery

Identifiers

PMID38877551
PMCPMC11179217

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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.