ArticleThe Journal of international medical research2022
Prognostic nomograms for lung neuroendocrine carcinomas based on lymph node ratio: a SEER database analysis.
Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Rachel score: a nomogram model for predicting the prognosis of lung neuroendocrine tumors.Journal of endocrinological investigation · 2024Article
- Combining lymph node ratio to develop prognostic models for postoperative gastric neuroendocrine neoplasm patients.World journal of gastrointestinal oncology · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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Abstract
objectiveThe current study aimed to explore the prognostic value of the lymph node ratio (LNR) in patients with lung neuroendocrine carcinomas (LNECs).
methodsData for 1564 elderly patients with LNECs between 1998 and 2016 were obtained from the Surveillance, Epidemiology, and End Results database. The cases were assigned randomly to training (n = 1086) and internal validation (n = 478) sets. The association between LNR and survival was investigated by Cox regression.
resultsMultivariate analyses identified age, tumor grade, summary stage, M stage, surgery, and LNR as independent prognostic factors for both overall survival (OS) and lung cancer-specific survival (LCSS). Tumor size was also a prognostic determinant for LCSS. Prognostic nomograms combining LNR with other informative variables showed good discrimination and calibration abilities in both the training and validation sets. In addition, the C-index of the nomograms was statistically superior to the American Joint Committee on Cancer (AJCC) staging system in both the training and validation cohorts.
conclusionsThese nomograms, based on LNR, showed superior prognostic predictive accuracy compared with the AJCC staging system for predicting OS and LCSS in patients with LNECs.
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