Evidence map›Paper›PMID 42724481›Full record

ArticleTranslational cancer research2026

Survival outcomes of postoperative radiotherapy and chemotherapy in early-stage cervical cancer: a Surveillance, Epidemiology, and End Results database-based stratified analysis.

Changmei Weng, Yan Wang, Wenbin Chen, Shengchi Chen, Li Zou

Abstract read
In one paragraph

Article in Translational cancer research, 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

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Changmei Weng *Department of Medical Ultrasonics, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Yan Wang *Department of Oncology, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Wenbin ChenDepartment of Oncology, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Shengchi Chen *Department of Oncology, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Li Zou *Department of Oncology, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: For early-stage cervical cancer, surgery constitutes the standard therapeutic approach. Whether adjuvant radiotherapy and chemotherapy should be administered to patients with intermediate- or high-risk pathological characteristics continues to generate debate. Controversy persists regarding the ideal postoperative adjuvant treatment approach for this patient population. Using the Surveillance, Epidemiology, and End Results (SEER) database, this study compared survival outcomes among early-stage cervical cancer patients managed with observation, postoperative radiotherapy (PORT), or postoperative concurrent chemoradiotherapy (POCRT). Methods: Patients with stage I-II cervical cancer who underwent surgical treatment from 2004 to 2020 were identified through the SEER database. Patients were classified into three cohorts based on their postoperative management: observation, PORT, and POCRT. Overall survival (OS) and cancer-specific survival (CSS) were assessed through Cox proportional hazards regression, competing risk modeling, Kaplan-Meier survival curves, and subgroup analyses. Results: Among 13,687 eligible patients, 9,868 underwent postoperative observation, 1,237 received PORT, and 2,582 received POCRT. In the unmatched overall cohort, patients receiving adjuvant therapy had higher mortality rates and higher-risk baseline profiles. Stratified analysis demonstrated that postoperative observation was associated with better survival than PORT and POCRT in stage I patients (P<0.001), whereas POCRT was associated with better survival compared with observation and PORT in stage II patients (P=0.04). Subgroup analyses suggested associations between postoperative adjuvant therapy and better survival among patients with T2 disease, N1 status, multiple primary malignancies (≥2), or age ≥60 years. Conclusions: For patients with early-stage cervical cancer, the decision regarding PORT and chemotherapy should remain guided by current guideline-based risk stratification. Our findings suggest that tumor (T) stage, node (N) stage, multiple primary malignancies, and age warrant further investigation as potential effect modifiers.

Indexed as

adenocarcinoma (ADC)Cervical cancerprognosissquamous cell carcinoma (SCC)Surveillance, Epidemiology, and End Results database (SEER database)

Identifiers

PMID42724481
PMCPMC13559619

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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.