Evidence map›Paper›PMID 41998619›Full record

ArticleWorld journal of surgical oncology2026

Association between log odds of positive lymph nodes and survival in surgically treated cervical cancer patients: a SEER database-based cohort study.

Lu Zhang, Jinjia Yang, Ping Zhang, Yuhong Shang

Abstract read
In one paragraph

Article in World journal 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

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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

4 authors.

Lu ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116011, China.
Jinjia YangDepartment of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China. dlyjj2020@163.com.
Ping ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116011, China. dyyyfckzp@163.com.
Yuhong ShangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116011, China. shangyuhong@dmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional nodal staging (N stage) and positive lymph node ratio exhibit limitations in accurately evaluating lymph node status. The current research aims to explore the prognostic value of the logarithmic odds of positive lymph nodes (LODDS) for projecting overall survival (OS) and cancer-specific survival (CSS) in patients with cervical cancer (CC) undergoing surgery.

methodsPatients who received surgical treatment for CC between 2004 and 2020 were identified from the Surveillance, Epidemiology, and End Results database. Propensity score matching (PSM) was applied to balance baseline characteristics. Hazard ratios (HRs) were analyzed employing Cox proportional hazards regression models. The possible nonlinear relationship was evaluated via restricted cubic splines. Survival rates were compared utilizing Kaplan-Meier curves. Subgroup analyses were also conducted. A novel LODDS-based model was established and verified. Its predictive accuracy was compared with that of the conventional Tumor-Node-Metastasis (TNM) staging model.

resultsA total of 9,501 subjects were initially enrolled. Following PSM, 2,092 matched cases were encompassed in the analysis cohort. Multivariable analysis indicated that High LODDS was markedly related to elevated risk of mortality (OS: HR 2.04, 95% confidence interval [CI] 1.747–2.383; CSS: HR 1.821, 95% CI 1.52–2.181; P < 0.001). Model comparison indicated superior predictive performance for the novel LODDS-based model over the conventional model incorporating TNM staging (C-index: 0.743 vs. 0.692). Both the net reclassification improvement and integrated discrimination improvement indices confirmed that the new model offered notably better predictive capability for survival at 1, 3, and 5 years (P < 0.001 for all).

conclusionLODDS constitutes an independent prognostic factor for individuals with CC following surgery. Compared with conventional TNM staging, LODDS provides incremental prognostic value, facilitating the development of personalized risk assessment and more accurate follow-up strategies.

Indexed as

HysterectomyLymph Node ExcisionLymph NodesUterine Cervical NeoplasmsAdultAgedFemaleFollow-Up StudiesHumansLymphatic MetastasisMiddle AgedNeoplasm StagingPrognosisPropensity ScoreSEER ProgramSurvival RateCervical cancerNomogramSEERSurgerySurvival

Identifiers

PMID41998619
PMCPMC13224585

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LicenceCC BY
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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.