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Prognostic models based on lymph node density for primary gastrointestinal melanoma: a SEER population-based analysis
OBJECTIVE: This study aimed to construct prognostic models to predict the overall survival (OS) and cancer-specific survival (CSS) of patients with primary gastrointestinal melanoma (PGIM). DESIGN: An observational and retrospective study. SETTING: Data were obtained from the Surveillance, Epidemiol...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565139/ https://www.ncbi.nlm.nih.gov/pubmed/37798018 http://dx.doi.org/10.1136/bmjopen-2023-073335 |
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author | Zeng, Jiaqi Zhu, Lin Zhou, Guanzhou Pan, Fei Yang, Yunsheng |
author_facet | Zeng, Jiaqi Zhu, Lin Zhou, Guanzhou Pan, Fei Yang, Yunsheng |
author_sort | Zeng, Jiaqi |
collection | PubMed |
description | OBJECTIVE: This study aimed to construct prognostic models to predict the overall survival (OS) and cancer-specific survival (CSS) of patients with primary gastrointestinal melanoma (PGIM). DESIGN: An observational and retrospective study. SETTING: Data were obtained from the Surveillance, Epidemiology and End Results (SEER) programme database, encompassing a broad geographical and demographic spectrum of patients across the USA. PARTICIPANTS: A total of 991 patients diagnosed with PGIM were included in this study. METHODS: A total of 991 patients with PGIM were selected from the SEER database. They were further divided into a training cohort and a validation cohort. Independent prognostic factors were identified by Cox regression analysis. Two prognostic models were constructed based on the results of multivariable Cox regression analysis. The concordance index (C-index) and area under the time-dependent receiver operating characteristic curve (time-dependent AUC) were used to evaluate the discriminative ability. Calibration curves were plotted to evaluate the agreement between the probability as predicted by the models and the actual probability. Risk stratification was developed given the model. RESULTS: By the multivariable Cox regression analysis, we identified four independent risk factors (age, stage, lymph node density and surgery) for OS, and three independent risk factors (stage, lymph node density and surgery) for CSS, which were used to construct prognostic models. C-index, time-dependent AUC, calibration curves and Kaplan-Meier curves of risk stratification indicated that these two models had good discriminative ability, predictive ability as well as clinical value. CONCLUSIONS: The prognostic models of OS and CSS had satisfactory accuracy and were of clinical value in evaluating the prognosis of patients with PGIM. |
format | Online Article Text |
id | pubmed-10565139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-105651392023-10-12 Prognostic models based on lymph node density for primary gastrointestinal melanoma: a SEER population-based analysis Zeng, Jiaqi Zhu, Lin Zhou, Guanzhou Pan, Fei Yang, Yunsheng BMJ Open Oncology OBJECTIVE: This study aimed to construct prognostic models to predict the overall survival (OS) and cancer-specific survival (CSS) of patients with primary gastrointestinal melanoma (PGIM). DESIGN: An observational and retrospective study. SETTING: Data were obtained from the Surveillance, Epidemiology and End Results (SEER) programme database, encompassing a broad geographical and demographic spectrum of patients across the USA. PARTICIPANTS: A total of 991 patients diagnosed with PGIM were included in this study. METHODS: A total of 991 patients with PGIM were selected from the SEER database. They were further divided into a training cohort and a validation cohort. Independent prognostic factors were identified by Cox regression analysis. Two prognostic models were constructed based on the results of multivariable Cox regression analysis. The concordance index (C-index) and area under the time-dependent receiver operating characteristic curve (time-dependent AUC) were used to evaluate the discriminative ability. Calibration curves were plotted to evaluate the agreement between the probability as predicted by the models and the actual probability. Risk stratification was developed given the model. RESULTS: By the multivariable Cox regression analysis, we identified four independent risk factors (age, stage, lymph node density and surgery) for OS, and three independent risk factors (stage, lymph node density and surgery) for CSS, which were used to construct prognostic models. C-index, time-dependent AUC, calibration curves and Kaplan-Meier curves of risk stratification indicated that these two models had good discriminative ability, predictive ability as well as clinical value. CONCLUSIONS: The prognostic models of OS and CSS had satisfactory accuracy and were of clinical value in evaluating the prognosis of patients with PGIM. BMJ Publishing Group 2023-10-05 /pmc/articles/PMC10565139/ /pubmed/37798018 http://dx.doi.org/10.1136/bmjopen-2023-073335 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Oncology Zeng, Jiaqi Zhu, Lin Zhou, Guanzhou Pan, Fei Yang, Yunsheng Prognostic models based on lymph node density for primary gastrointestinal melanoma: a SEER population-based analysis |
title | Prognostic models based on lymph node density for primary gastrointestinal melanoma: a SEER population-based analysis |
title_full | Prognostic models based on lymph node density for primary gastrointestinal melanoma: a SEER population-based analysis |
title_fullStr | Prognostic models based on lymph node density for primary gastrointestinal melanoma: a SEER population-based analysis |
title_full_unstemmed | Prognostic models based on lymph node density for primary gastrointestinal melanoma: a SEER population-based analysis |
title_short | Prognostic models based on lymph node density for primary gastrointestinal melanoma: a SEER population-based analysis |
title_sort | prognostic models based on lymph node density for primary gastrointestinal melanoma: a seer population-based analysis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565139/ https://www.ncbi.nlm.nih.gov/pubmed/37798018 http://dx.doi.org/10.1136/bmjopen-2023-073335 |
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