ArticleOncotarget2018
The prognostic value of negative lymph node count for patients with cervical cancer after radical surgery.
Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Examined lymph node counts affected the staging and survival in cervical cancer: a retrospective study using the SEER and Chinese cohort.Annals of medicine · 2025Article
- Rationality of FIGO 2018 IIIC cervical cancer according to local tumor and pelvic lymph node metastatic extent-a cohort study.BMC women's health · 2025Article
- The value of contrast-enhanced ultrasound in cervical cancer assessed in comparison with magnetic resonance imaging.Medicine and pharmacy reports · 2024Article
- Effect of marital status on the survival outcomes of cervical cancer: a retrospective cohort study based on SEER database.BMC women's health · 2024Article
- Prognostic Value of Lymph Node Characteristics in Patients with Cervical Cancer Treated with Radical Hysterectomy.Cancer management and research · 2021Article
- Ratio between negative and positive lymph nodes is a novel prognostic indicator for patients with esophageal cancer: A Surveillance, Epidemiology and End Results database analysis.Thoracic cancer · 2020Article
- Area-specific economic status should be regarded as a vital factor affecting the occurrence, development and outcome of cervical cancer.Scientific reports · 2020Article
- Impact of Tumor Site on Lymph Node Status and Survival in Colon Cancer.Journal of Cancer · 2019Article
- Positive relationship between number of negative lymph nodes and duration of gallbladder cancer cause-specific survival after surgery.Cancer management and research · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Negative lymph node (NLN) count has been recognized as a prognostic indicator in various cancers. However, the relationship between NLN count and the prognosis of cervical cancer is still unknown. In this study, 10, 500 cervical cancer patients after radical surgery were selected from Epidemiology and End Results Program (SEER) data. Clinicopathological characteristics were collected for analysis, including year of diagnosis, age, race, grade, primary site, FIGO stage and cause specific survival (CSS). Univariate and multivariate Cox proportional hazards model was used to assess risk factors for survival of patients. X-tile plots identified 6 as the optimal cutoff value of NLN count to divide patients into high and low risk subsets in terms of CSS (χ
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