Evidence map›Paper›PMID 40994949›Full record

ArticleFrontiers in oncology2025

Impact of radiotherapy on the prognosis in uterine cervical adenocarcinoma: a meta-analysis and retrospective cohort study.

Keyi Zhang, Jianan Ji, Jing Yang, Shulin Zhou, Jiangnan Qiu, Chengyan Luo

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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
–field-weighted citation impact
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

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

Keyi Zhang *Department of Gynecology, Fujian Medical University Affiliated Zhangzhou Hospital, Zhangzhou, China.
Jianan Ji *Department of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jing Yang *Department of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Shulin ZhouDepartment of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jiangnan QiuDepartment of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Chengyan LuoDepartment of Gynecology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The treatment of uterine cervical adenocarcinoma (UAC) has always been a clinical challenge. The study investigated the effect of radiotherapy (RT) on survival outcomes and tumor recurrence in patients with UAC and further explored potential candidates who may benefit from RT. Methods: We systematically searched the literature on the effects of RT on disease-free survival (DFS) and overall survival (OS) for UAC and performed a meta-analysis. The impact of RT on the cancer-specific survival (CSS) and DFS were retrospectively analyzed with the UAC cases from the Surveillance, Epidemiology, and End Results (SEER) database and at our center. A total of 4382 patients from the SEER database after propensity score matching and 315 cases at our center were retrieved, respectively. Univariate and multivariate Cox regression analysis were employed to investigate the effect of RT on the prognosis. Subgroup analysis was conducted to identify populations that may benefit from RT. Results: The meta-analysis revealed that RT didn't improve DFS (OR: 0.72, 95% CI 0.34 - 1.52) and OS (OR: 0.44, 95% CI 0.18 - 1.07), in FIGO stage IB-IIA patients with UAC. The retrospective study found that RT improved CSS (HR: 0.87, 95% CI 0.78 - 0.9), but not DFS (HR: 2.62, 95% CI 0.96 - 6.8). Those with stage pT2-4, pN1, pM1, primary tumor size > 39 mm, grade III-IV, or unresected primary tumors had superior CSS when treated with RT than those without RT. In terms of DFS, the cases staged as pT1-2, pN0, pM0, with tumor > 19 mm, graded III-IV, resection of primary tumor, no parametrial involvement, and with or without lymph-vascular stromal invasion had worse outcomes after receiving RT. Conclusion: The UAC patients with more advanced, larger primary tumors, higher histological grade, and unresected primary tumors are likely to benefit from RT, which need to be substantiated by prospective studies.

Indexed as

cancer-specific survivaldisease-free survivaloverall survivalradiotherapyuterine cervical adenocarcinoma

Identifiers

PMID40994949
PMCPMC12455619

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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.