Evidence map›Paper›PMID 40493056›Full record

ArticlePediatric surgery international2025

Vaginal and cervical tumors in children and adolescents: a SEER population-based study.

Yi Shi, Wenyuan Liu, Meiping Zhu, Junyu Xu, Qian Chen, Chen Yuan, Yinjie Ling

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Article in Pediatric surgery international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi ShiDepartment of Pediatrics, First Affiliated Hospital of Huzhou University, The First People's Hospital of Huzhou, Huzhou, 313000, China.
Wenyuan LiuDepartment of Pediatrics, First Affiliated Hospital of Huzhou University, The First People's Hospital of Huzhou, Huzhou, 313000, China.
Meiping ZhuDepartment of Pediatrics, First Affiliated Hospital of Huzhou University, The First People's Hospital of Huzhou, Huzhou, 313000, China.
Junyu XuDepartment of Pediatrics, First Affiliated Hospital of Huzhou University, The First People's Hospital of Huzhou, Huzhou, 313000, China.
Qian ChenDepartment of Pediatrics, First Affiliated Hospital of Huzhou University, The First People's Hospital of Huzhou, Huzhou, 313000, China.
Chen YuanDepartment of Pediatrics, First Affiliated Hospital of Huzhou University, The First People's Hospital of Huzhou, Huzhou, 313000, China.
Yinjie LingDepartment of Pediatrics, First Affiliated Hospital of Huzhou University, The First People's Hospital of Huzhou, Huzhou, 313000, China. 50411@zjhu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVaginal and cervical tumors in children and adolescents are rare and poorly understood. This study aims to provide a comprehensive analysis of incidence, treatment modalities, and survival outcomes of vaginal and cervical tumors in this age group using the SEER database.

methodsData were retrieved from the SEER database (2000-2019) for patients aged 0-18 years diagnosed with primary vaginal and cervical tumors. Demographics, tumor characteristics, treatment modalities, and survival outcomes were analyzed. Kaplan-Meier survival analysis was used to estimate overall survival (OS). To examine the impact of each factor on overall survival, a multivariate Cox proportional hazards model was created. Based on the results of the Cox regression model, a nomogram was constructed.

resultsBetween 2000 and 2019, 164 pediatric and adolescent patients with vaginal and cervical tumors were analyzed, with a median age of 14 years (range 0-18 years). Embryonal rhabdomyosarcoma (40.9%) being the most common subtype. The overall survival rates were 97.5% at 1 year, 91.1% at 3-year, and 88.9% at 5-year. Younger patients (0-14 years) had significantly better prognoses than older ones (15-18 years). Additionally, survival outcomes differed by histological subtype, with YSTs showing the highest survival rate (100%) and clear cell adenocarcinoma exhibiting the poorest prognosis. Distant metastases were associated with worse outcomes. Age and SEER stage were identified as independent predictors of survival, with a nomogram constructed to further predict outcomes.

conclusionsVaginal and cervical tumors in children and adolescents have distinct demographic and clinical patterns. Younger age, localized disease, and specific histological subtypes, such as YSTs, are associated with favorable outcomes. Early diagnosis and individualized multimodal treatment are crucial for improving outcomes.

Indexed as

Uterine Cervical NeoplasmsVaginal NeoplasmsAdolescentChildChild, PreschoolFemaleHumansIncidenceInfantInfant, NewbornNomogramsPrognosisRetrospective StudiesSEER ProgramSurvival RateUnited StatesAnalysisChildrenEmbryonal rhabdomyosarcomaSurvivalVaginal and cervical tumors

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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.