Evidence map›Paper›PMID 41612276›Full record

ArticleBMC cancer2026

Reappraisal of the prognostic significance of vaginal invasion, parametrial invasion and lymph node metastasis in locally advanced cervical cancer patients receiving concurrent chemoradiotherapy: a multi-center large cohort study.

Xi-Lin Yang, Jian-Li He, Tie-Jun Wang, Li Ran, Li-Juan Zou, Xiao-Ge Sun, Xiao-Mei Li, Zi Liu, Yong-Gang Shi, Sha Li and 9 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in BMC cancer, 2026. 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

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

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

19 authors.

Xi-Lin Yang *Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China.
Jian-Li He *Department of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Tie-Jun Wang *Department of Radiation Oncology, The Second Affiliated Hospital of Jilin University, Changchun, 130041, P. R. China.
Li RanDepartment of Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, Guizhou, 550004, China.
Li-Juan ZouDepartment of Radiation Oncology, The Second Affiliated Hospital of Dalian Medical University, Liaoning, China.
Xiao-Ge SunDepartment of Radiation Oncology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Xiao-Mei LiDepartment of Radiation Oncology, Peking University First Hospital, Beijing, China.
Zi LiuDepartment of Radiation Oncology, First Affiliated Hospital of Xian Jiaotong University, Xi'an, China.
Yong-Gang ShiDepartment of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Sha LiDepartment of Radiation Oncology, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou, China.
Feng-Ju ZhaoDepartment of Radiotherapy, Gansu Province Cancer Hospital, Lanzhou, 730050, China.
Kun GaoDepartment of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Qingxiu District, Nanning, PR China.
Wei ZhongGynaecological Oncology Radiotherapy (Inpatient Area 1), The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
Guang-Hui ChengDepartment of Radiation Oncology, China-Japan Union Hospital of Jilin University, Jilin, China.
Ya-Li GaoDepartment of Radiation Oncology, Cangzhou Central Hospital, Cangzhou, Hebei, China.
Bao-Sheng SunDepartment of Radiotherapy, Jilin Province Cancer Hospital, Changchun, China.
Jun-Fang YanDepartment of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China. yanjunfang@pumch.cn.
Li-Chun WeiDepartment of Radiation Oncology, Xijing Hospital, Air Force Medical University, No. 127 Changle West Road, Xi'an, Shanxi, China. weilichun@fmmu.edu.cn.
Fu-Quan ZhangDepartment of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, People's Republic of China. zhangfq@pumch.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo construct and validate a predictive model to better differentiate the survival outcomes for locally advanced cervical cancer patients (LACC) receiving concurrent chemoradiotherapy (CCRT).

methodsPatients were separately classified as vaginal invasion (VI), parametrial invasion (PI) or lymph node metastasis (LNM) based on disease extension. The survival outcomes were compared. Cox regression were performed to identify risk factors. Accordingly, the nomogram was constructed and validated. Moreover, the predictive performance between model and 2018 FIGO staging system was compared.

resultsLNM could significantly impair the survival for patients with VI (5-yr OS:77.7% VS 95.6%) (P = 0.018). Patients with bilateral extension to pelvic sidewall (BEP) and bilateral parametrial invasion (BPI) showed worse 5-yr OS (42.4% and 60.9%) compared to those with unilateral extension to pelvic sidewall (UEP) and unilateral parametrial invasion (UPI) (81.7% and 89.1%) (P < 0.001). Additionally, LNM didn’t affect the prognosis of patients with PI. The nomogram incorporating pathology, PI and pelvic LNM was constructed and showed decent predictive performance both in the training and test cohort. Besides, nomogram possessed better predictive ability than 2018 FIGO staging system both in the training (5-yr AUC: 0.79 VS 0.59) and validation cohort (5-yr AUC: 0.77 VS 0.64).

conclusionsLNM would impair the survival for patients with VI not those with PI and a nomogram was constructed and validated to better differentiate the prognosis for LACC patients than FIGO staging system.

Indexed as

ChemoradiotherapyUterine Cervical NeoplasmsVaginaAdultAgedFemaleHumansLymphatic MetastasisLymph NodesMiddle AgedNeoplasm InvasivenessNeoplasm StagingNomogramsPrognosisRetrospective StudiesCervical cancerChemoradiotherapyFIGO staging systemNomogramSurvival

Identifiers

PMID41612276
PMCPMC13049932

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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.