Prognostic Factors of Primary Lung Cancer. Assessment of Tumor Doubling Time in Survival

Katsuo Usuda; Yasuki Saito; Hirokazu Aikawa; Yan Chen; Chiaki Endo; Satomi Takahashi; Keiji Kanma; Masami Sato; Motoyasu Sagawa; Shigefumi Fujimura

doi:10.2482/haigan.34.1011

Prognostic Factors of Primary Lung Cancer. Assessment of Tumor Doubling Time in Survival

Katsuo Usuda, Yasuki Saito, Hirokazu Aikawa, Yan Chen, Chiaki Endo, Satomi Takahashi, Keiji Kanma, Masami Sato, Motoyasu Sagawa, Shigefumi Fujimura

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Research output: Contribution to journal › Article › peer-review

Abstract

A total of 174 cases with primary lung cancer was examined on survival. Survival rates were compared between some categories in each prognostic factor (univariate analyses), and significant factors affecting survival were obtained by multivariate analyses using Cox's proportional hazard model. Univariate analyses showed a significant difference in survival in relation to tumor doubling time (DT), age, sex, the way how a tumor was detected, smoking history, symptom, therapy, cell type, T factor, N factor, M factor and stage. Multivariate analyses using Cox's proportional hazard model in a stepwise fashion obtained a final set of four significant variables: N factor (p = 0.0001) therapy (p = 0.0016); DT (p = 0.0140) and M factor (p = 0.0421). DT was proved to be an independent and significant prognostic factor in lung cancer.

Original language	English
Pages (from-to)	1011-1016
Number of pages	6
Journal	Haigan
Volume	34
Issue number	7
DOIs	https://doi.org/10.2482/haigan.34.1011
Publication status	Published - 1994 Jan 1

ASJC Scopus subject areas

Oncology
Pulmonary and Respiratory Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.2482/haigan.34.1011

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title = "Prognostic Factors of Primary Lung Cancer. Assessment of Tumor Doubling Time in Survival",

abstract = "A total of 174 cases with primary lung cancer was examined on survival. Survival rates were compared between some categories in each prognostic factor (univariate analyses), and significant factors affecting survival were obtained by multivariate analyses using Cox's proportional hazard model. Univariate analyses showed a significant difference in survival in relation to tumor doubling time (DT), age, sex, the way how a tumor was detected, smoking history, symptom, therapy, cell type, T factor, N factor, M factor and stage. Multivariate analyses using Cox's proportional hazard model in a stepwise fashion obtained a final set of four significant variables: N factor (p = 0.0001) therapy (p = 0.0016); DT (p = 0.0140) and M factor (p = 0.0421). DT was proved to be an independent and significant prognostic factor in lung cancer.",

author = "Katsuo Usuda and Yasuki Saito and Hirokazu Aikawa and Yan Chen and Chiaki Endo and Satomi Takahashi and Keiji Kanma and Masami Sato and Motoyasu Sagawa and Shigefumi Fujimura",

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doi = "10.2482/haigan.34.1011",

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T1 - Prognostic Factors of Primary Lung Cancer. Assessment of Tumor Doubling Time in Survival

AU - Usuda, Katsuo

AU - Saito, Yasuki

AU - Aikawa, Hirokazu

AU - Chen, Yan

AU - Endo, Chiaki

AU - Takahashi, Satomi

AU - Kanma, Keiji

AU - Sato, Masami

AU - Sagawa, Motoyasu

AU - Fujimura, Shigefumi

PY - 1994/1/1

Y1 - 1994/1/1

N2 - A total of 174 cases with primary lung cancer was examined on survival. Survival rates were compared between some categories in each prognostic factor (univariate analyses), and significant factors affecting survival were obtained by multivariate analyses using Cox's proportional hazard model. Univariate analyses showed a significant difference in survival in relation to tumor doubling time (DT), age, sex, the way how a tumor was detected, smoking history, symptom, therapy, cell type, T factor, N factor, M factor and stage. Multivariate analyses using Cox's proportional hazard model in a stepwise fashion obtained a final set of four significant variables: N factor (p = 0.0001) therapy (p = 0.0016); DT (p = 0.0140) and M factor (p = 0.0421). DT was proved to be an independent and significant prognostic factor in lung cancer.

AB - A total of 174 cases with primary lung cancer was examined on survival. Survival rates were compared between some categories in each prognostic factor (univariate analyses), and significant factors affecting survival were obtained by multivariate analyses using Cox's proportional hazard model. Univariate analyses showed a significant difference in survival in relation to tumor doubling time (DT), age, sex, the way how a tumor was detected, smoking history, symptom, therapy, cell type, T factor, N factor, M factor and stage. Multivariate analyses using Cox's proportional hazard model in a stepwise fashion obtained a final set of four significant variables: N factor (p = 0.0001) therapy (p = 0.0016); DT (p = 0.0140) and M factor (p = 0.0421). DT was proved to be an independent and significant prognostic factor in lung cancer.

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Prognostic Factors of Primary Lung Cancer. Assessment of Tumor Doubling Time in Survival

Abstract

ASJC Scopus subject areas

UN SDGs

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