Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study

Abstract Purpose Our study aims to delineate the epidemiological distribution of pulmonary carcinoids, including atypical carcinoid (AC) and typical carcinoid (TC), identify independent prognostic factors, develop an integrative nomogram and examine the effects of various surgical modalities on atyp...

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Main Authors: Xinglin Yi, Yi He, Gangzhen Qian, Caixia Deng, Jiayi Qin, Xiangdong Zhou, Hu Luo
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Cancer Medicine
Subjects:
Online Access:https://doi.org/10.1002/cam4.6794
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author Xinglin Yi
Yi He
Gangzhen Qian
Caixia Deng
Jiayi Qin
Xiangdong Zhou
Hu Luo
author_facet Xinglin Yi
Yi He
Gangzhen Qian
Caixia Deng
Jiayi Qin
Xiangdong Zhou
Hu Luo
author_sort Xinglin Yi
collection DOAJ
description Abstract Purpose Our study aims to delineate the epidemiological distribution of pulmonary carcinoids, including atypical carcinoid (AC) and typical carcinoid (TC), identify independent prognostic factors, develop an integrative nomogram and examine the effects of various surgical modalities on atypical carcinoid‐specific survival (ACSS). Methods Joinpoint regression model and age‐group distribution diagram were applied to determine the epidemiological trend of the pulmonary carcinoids. Univariate and least absolute shrinkage and selection operator (LASSO)‐based Cox regression models were used to identify independent factors, and a nomogram and web‐based predictor were developed to evaluate prognosis of AC patients individually. We performed Kaplan–Meier survival analyses to compare the scope of various surgical interventions, with and without G‐computation adjustment, utilising restricted mean survival time (RMST) to assess survival disparities. Results A total of 1132 patients were recruited from the Surveillance, Epidemiology, and End Results database (SEER) and a separate medical centre in China. The mean age of AC patients was 63.4 years and a smoking history was identified in 79.8% of AC patients. Joinpoint analysis shows rising annual rates of new AC and carcinoid cases among lung cancers. Both the proportion of pulmonary TC and AC within the total lung cancer population exhibits an L‐shaped trend across successive age groups. The nomogram predicted 1, 3 and 5 years of AC with excellent accuracy and discrimination. Kaplan–Meier survival analyses, conducted both pre‐ and post‐adjustment, demonstrated that sublobar resection's survival outcomes were not inferior to those of lobectomy in patients with stage I‐II and stage III disease. Conclusion This study is the first to reveal epidemiological trends in pulmonary carcinoids over the past decade and across various age cohorts. For patients with early‐stage AC, sublobar resection may be a viable surgical recommendation. The established nomogram and web‐based calculator demonstrated decent accuracy and practicality.
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spelling doaj.art-e370fc2181c944aba40f825be56a36a32024-03-05T06:22:52ZengWileyCancer Medicine2045-76342024-01-01131n/an/a10.1002/cam4.6794Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation studyXinglin Yi0Yi He1Gangzhen Qian2Caixia Deng3Jiayi Qin4Xiangdong Zhou5Hu Luo6Department of Respiratory Medicine Third Military Medical University Southwest Hospital Chongqing ChinaDepartment of Cardiovascular Medicine Third Military Medical University Southwest Hospital Chongqing ChinaDepartment of Cardiovascular Medicine Third Military Medical University Southwest Hospital Chongqing ChinaDepartment of Respiratory Medicine Third Military Medical University Southwest Hospital Chongqing ChinaDepartment of Gastroenterological Medicine Third Military Medical University Southwest Hospital Chongqing ChinaDepartment of Respiratory Medicine Third Military Medical University Southwest Hospital Chongqing ChinaDepartment of Respiratory Medicine Third Military Medical University Southwest Hospital Chongqing ChinaAbstract Purpose Our study aims to delineate the epidemiological distribution of pulmonary carcinoids, including atypical carcinoid (AC) and typical carcinoid (TC), identify independent prognostic factors, develop an integrative nomogram and examine the effects of various surgical modalities on atypical carcinoid‐specific survival (ACSS). Methods Joinpoint regression model and age‐group distribution diagram were applied to determine the epidemiological trend of the pulmonary carcinoids. Univariate and least absolute shrinkage and selection operator (LASSO)‐based Cox regression models were used to identify independent factors, and a nomogram and web‐based predictor were developed to evaluate prognosis of AC patients individually. We performed Kaplan–Meier survival analyses to compare the scope of various surgical interventions, with and without G‐computation adjustment, utilising restricted mean survival time (RMST) to assess survival disparities. Results A total of 1132 patients were recruited from the Surveillance, Epidemiology, and End Results database (SEER) and a separate medical centre in China. The mean age of AC patients was 63.4 years and a smoking history was identified in 79.8% of AC patients. Joinpoint analysis shows rising annual rates of new AC and carcinoid cases among lung cancers. Both the proportion of pulmonary TC and AC within the total lung cancer population exhibits an L‐shaped trend across successive age groups. The nomogram predicted 1, 3 and 5 years of AC with excellent accuracy and discrimination. Kaplan–Meier survival analyses, conducted both pre‐ and post‐adjustment, demonstrated that sublobar resection's survival outcomes were not inferior to those of lobectomy in patients with stage I‐II and stage III disease. Conclusion This study is the first to reveal epidemiological trends in pulmonary carcinoids over the past decade and across various age cohorts. For patients with early‐stage AC, sublobar resection may be a viable surgical recommendation. The established nomogram and web‐based calculator demonstrated decent accuracy and practicality.https://doi.org/10.1002/cam4.6794atypical pulmonary carcinoidsepidemiologynomogramprognostic factorSEER database
spellingShingle Xinglin Yi
Yi He
Gangzhen Qian
Caixia Deng
Jiayi Qin
Xiangdong Zhou
Hu Luo
Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study
Cancer Medicine
atypical pulmonary carcinoids
epidemiology
nomogram
prognostic factor
SEER database
title Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study
title_full Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study
title_fullStr Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study
title_full_unstemmed Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study
title_short Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study
title_sort prognostic nomogram and epidemiological analysis for lung atypical carcinoid a seer database and external validation study
topic atypical pulmonary carcinoids
epidemiology
nomogram
prognostic factor
SEER database
url https://doi.org/10.1002/cam4.6794
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