Evidence map›Paper›PMID 42420638›Full record

ArticleAnnals of surgical oncology2026

The Impact of Surgery and Survival Prediction on Patients with Locally Advanced Gastric-type Endocervical Adenocarcinoma: A Population-Based Cohort Study.

Junting Chen, Jing Li, Junchen Wu, Yu Li, Xuanwei Peng, Dongdong Xu, Chuying Huo, Xibo Zhao, Lingyu Wei, Yunyun Liu and 5 more

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Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

15 authors.

Junting Chen *Department of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Jing Li *Department of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Junchen Wu *Department of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yu LiDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xuanwei PengDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Dongdong XuDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Chuying HuoDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xibo ZhaoDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Lingyu WeiDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yunyun LiuDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Aoshuang ChengDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Chunxian HuangDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Lingling XieDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. xielling@mail.sysu.edu.cn.
Shaodan LinDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. linshd5@mail.sysu.edu.cn.
Huaiwu LuDepartment of Gynecological Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. luhuaiwu@mail.sysu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province No. 2024A1515013255Beijing Xisike Clinical Oncology Research Foundation No. Y-Young2022-0145China Anti-Cancer Association-Hengrui PARP Inhibitor Tumor Research Foundation No. CETSDHRCORP252-4-015Guangzhou Clinical High-Tech, Major, and Characteristic Technology Project No. 2026P-TS003National Natural Science Foundation of China No. 82303860National Natural Science Foundation of China No. 82503446National Natural Science Foundation of China No. 82573397
6 · The paper itself

Abstract

backgroundThis study aimed to examine the clinical characteristics of gastric-type endocervical adenocarcinoma (GEA-C) and the main factors affecting prognosis, and to investigate the effect of surgical treatment on the prognosis of patients with GEA-C.

methodsIn this study, clinicopathologic data of GEA-C were collected from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2019). Multivariate Cox regression analysis, Kaplan-Meier survival analysis, and the log-rank test were used to assess the effect of surgical interventions on different subgroups in the overall survival (OS) of patients with GEA-C.

resultsIn the overall cohort, the surgical group demonstrated significantly better OS than the non-surgical group (79.6% vs 38.2%; p < 0.001). This survival advantage persisted after propensity score-matching (PSM) (79.6% vs 47.4%; p < 0.001). Among the patients with locally advanced disease, the OS rates were 64.6% versus 43.8% (p = 0.040) favoring surgery, with the disparity further accentuated after PSM (64.6% vs 12.5%; p < 0.001). Subgroup analyses confirmed sustained survival benefits with surgery across all strata, including age (≤50 years: 88.5% vs 30.8% [p < 0.001]; >50 years: 64.8% vs 42.9% [p = 0.009]) and tumor size (<6 cm: 84.4% vs 57.1% [p < 0.001]; ≥6 cm: 57.1% vs 20.0% [p = 0.004]). Notably, when combined with chemoradiotherapy, surgery achieved significantly higher OS rates than chemoradiotherapy alone (64.3% vs 37.0%; p = 0.002).

conclusionSurgical management is associated with significantly improved OS in GEA-C, especially among patients presenting with locally advanced disease. The integration of surgery with chemoradiotherapy demonstrated potentially enhanced therapeutic efficacy relative to chemoradiotherapy as a stand-alone approach.

Indexed as

AdenocarcinomaUterine Cervical NeoplasmsAdultAgedFemaleFollow-Up StudiesHumansMiddle AgedPrognosisSEER ProgramSurvival Rate

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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.