ArticleFrontiers in medicine2024
Risk factors for regional lymph node metastasis in rectal neuroendocrine tumors: a population-based study.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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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.
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Who cites it
4 citing papers in PubMed.
- Redefining therapeutic thresholds and global guidelines: Toward precision management of intermediate-sized rectal neuroendocrine tumors.World journal of gastroenterology · 2025Article
- Long-term outcomes of endoscopic resection of 1-1.5 cm sized grade 1 rectal neuroendocrine tumor: A retrospective study.World journal of gastroenterology · 2025Article
- Article
- Current status of endoscopic resection for small rectal neuroendocrine tumors.World journal of gastroenterology · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The identification of risk factors for regional lymph node (r-LN) metastasis in rectal neuroendocrine tumors (R-NETs) remains challenging. Our objective was to investigate the risk factors associated with patients diagnosed with R-NETs exhibiting r-LN metastasis. Methods: Patient information was obtained from the Surveillance, Epidemiology, and End Results (SEER) database, complemented by data from the West China Hospital (WCH) databases. The construction cohort comprised patients diagnosed with R-NETs from the SEER database, while cases from the WCH database were utilized as the validation cohort. A novel nomogram was developed to predict the probability of r-LN metastasis, employing a logistic regression model. Results: Univariate analysis identified four independent risk factors associated with poor r-LN metastasis: age (HR = 1.027, Discussion: The novel nomogram serves as a reliable tool for predicting the risk of r-LN metastasis, providing clinicians with valuable assistance in identifying high-risk patients and tailoring individualized treatments.
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Registered trials
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