Evidence map›Paper›PMID 34787583›Full record

ArticleJMIR public health and surveillance2021

Long-Term Survival Among Histological Subtypes in Advanced Epithelial Ovarian Cancer: Population-Based Study Using the Surveillance, Epidemiology, and End Results Database.

Shi-Ping Yang, Hui-Luan Su, Xiu-Bei Chen, Li Hua, Jian-Xian Chen, Min Hu, Jian Lei, San-Gang Wu, Juan Zhou

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 25 citations in OpenAlex.

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  9. VERU-111, an orally available tubulin inhibitor, suppresses ovarian tumor growth and metastasis.The Journal of pharmacology and experimental therapeutics · 2025
    Article
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  12. Investigating age and ethnicity as novel high-risk phenotypes in mucinous ovarian cancer: retrospective study in a multi-ethnic population.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
    Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Shi-Ping Yang *Department of Radiation Oncology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.ORCID 0000-0001-5887-5182
Hui-Luan Su *Department of Nephrology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.ORCID 0000-0002-3504-9870
Xiu-Bei Chen *Department of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID 0000-0003-0313-1789
Li HuaDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID 0000-0001-7801-7409
Jian-Xian ChenDepartment of Medical Oncology, People's Hospital of Baise, Baise, China.ORCID 0000-0001-9404-6461
Min HuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID 0000-0002-7018-3872
Jian LeiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID 0000-0002-5214-4730
San-Gang WuDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID 0000-0002-0556-2614
Juan ZhouDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID 0000-0003-0751-1033
First Affiliated Hospital of Xiamen University · CNHainan General Hospital · CNBaise University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundActual long-term survival rates for advanced epithelial ovarian cancer (EOC) are rarely reported.

objectiveThis study aimed to assess the role of histological subtypes in predicting the prognosis among long-term survivors (≥5 years) of advanced EOC.

methodsWe performed a retrospective analysis of data among patients with stage III-IV EOC diagnosed from 2000 to 2014 using the Surveillance, Epidemiology, and End Results cancer data of the United States. We used the chi-square test, Kaplan-Meier analysis, and multivariate Cox proportional hazards model for the analyses.

resultsWe included 8050 patients in this study, including 6929 (86.1%), 743 (9.2%), 237 (2.9%), and 141 (1.8%) patients with serous, endometrioid, clear cell, and mucinous tumors, respectively. With a median follow-up of 91 months, the most common cause of death was primary ovarian cancer (80.3%), followed by other cancers (8.1%), other causes of death (7.3%), cardiac-related death (3.2%), and nonmalignant pulmonary disease (3.2%). Patients with the serous subtype were more likely to die from primary ovarian cancer, and patients with the mucinous subtype were more likely to die from other cancers and cardiac-related disease. Multivariate Cox analysis showed that patients with endometrioid (hazard ratio [HR] 0.534, P<.001), mucinous (HR 0.454, P<.001), and clear cell (HR 0.563, P<.001) subtypes showed better ovarian cancer-specific survival than those with the serous subtype. Similar results were found regarding overall survival. However, ovarian cancer-specific survival and overall survival were comparable among those with endometrioid, clear cell, and mucinous tumors.

conclusionsOvarian cancer remains the primary cause of death in long-term ovarian cancer survivors. Moreover, the probability of death was significantly different among those with different histological subtypes. It is important for clinicians to individualize the surveillance program for long-term ovarian cancer survivors.

Indexed as

Ovarian NeoplasmsCarcinoma, Ovarian EpithelialFemaleHumansNeoplasm StagingPrognosisRetrospective StudiesUnited Statescancerepidemiologyepithelialhistologylong-term outcomeoncologyovarianovarian epithelial carcinomaovaryreproductive healthsurveillanceSurveillance, Epidemiology, and End Resultssurvivalsurvival ratesurvivorssurvivorshipwomen’s health

Identifiers

PMID34787583
PMCPMC8663583
OpenAlexW3212108649

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.