ArticleBMC medical research methodology2024
Log odds of positive lymph nodes (LODDS)-based novel nomogram for survival estimation in patients with invasive micropapillary carcinoma of the breast.
Article in BMC medical research methodology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 10 citations in OpenAlex.
- Garadacimab in Hereditary Angioedema: Modeling Suggests Sustained Improvements in Attack-Free Probability and Quality of Life Over 5 Years.Clinical and translational science · 2026Trial
- The clinical relevance of LODDS for post-mastectomy radiotherapy in T1-2N1M0 breast cancer: a real-world propensity score-weighted analysis using the SEER database.Gland surgery · 2026Article
- Article
- Log odds of positive lymph nodes predicts survival in metaplastic breast cancer based on SEER analysis.Discover oncology · 2026Article
- Prognostic value of metastatic lymph-node ratio and log-odds of positive nodes after neoadjuvant chemotherapy in breast cancer.World journal of surgical oncology · 2026Article
- Clinicopathological characteristics and prognostic factors of invasive micropapillary carcinoma of the breast.Discover oncology · 2025Article
- Article
- A log odds of positive lymph nodes (LODDS)-based nomogram for survival prediction in elderly bladder cancer patients after radical cystectomy: development and validation using SEER and Chinese cohorts.Translational andrology and urology · 2025Article
- Preoperative lymph node metastasis risk assessment in invasive micropapillary carcinoma of the breast: development of a machine learning-based predictive model with a web-based calculator.World journal of surgical oncology · 2025Article
- Advantage of Log Odds of Metastatic Lymph Nodes After Curative-Intent Resection of Gallbladder Cancer.Annals of surgical oncology · 2025Article
- Developing a novel model for predicting overall survival in late-onset colon adenocarcinoma patients based on LODDS: a study based on the SEER database and external validation.Discover oncology · 2025Article
- Analysis of the predictive postoperative recurrence performance of three lymph node staging systems in patients with colon cancer.Frontiers in oncology · 2025Article
- Machine learning models based on log odds of positive lymph nodes for predicting survival in TFrontiers in oncology · 2025Article
- Prognostic prediction and comparison of three staging programs for patients with advanced (T2-T4) esophageal squamous carcinoma after radical resection.Frontiers in oncology · 2024Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
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Abstract
backgroundInvasive micropapillary carcinoma (IMPC) of the breast is known for its high propensity for lymph node (LN) invasion. Inadequate LN dissection may compromise the precision of prognostic assessments. This study introduces a log odds of positive lymph nodes (LODDS) method to address this issue and develops a novel LODDS-based nomogram to provide accurate prognostic information.
methodsThe study analyzed data from 1,901 patients with breast IMPC from the Surveillance, Epidemiology, and End Results database. It assessed the relationships between LODDS and the number of excised LN (eLN), positive LN (pLN), and the pLN ratio (pLNR), identifying an optimal threshold value using a restricted cubic spline method. Predictive factors were identified by the Cox least absolute shrinkage and selection operator (Cox-LASSO) regression and validated through multivariate Cox regression to construct a nomogram. The model's accuracy, discrimination, and utility were assessed. The study also explored the consequences of excluding LODDS from the nomogram and compared its effectiveness with the tumor-node-metastasis (TNM) staging system.
resultsLODDS improved N status classification by identifying heterogeneity in patients with pLN ratios of 0% (pLN =0) or 100% (pLN =eLN) and setting -1.08 as the ideal cutoff. Five independent prognostic factors for breast cancer-specific survival (BCSS) were identified: tumor size, N status, LODDS, progesterone receptor status, and histological grade. The LODDS-based nomogram achieved a strong concordance index of 0.802 (95% CI: 0.741-0.863), surpassing both the version without LODDS and the conventional TNM staging in all tests.
conclusionsFor breast IMPC, LODDS served as an independent prognostic factor, its effectiveness unaffected by the anatomical LN count, enhancing the accuracy of N staging. The LODDS-based nomogram showed promise in offering more personalized prognostic information.
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