Literature DB >> 26912309

Conditional Survival After Surgical Intervention in Patients With Non-Small Cell Lung Cancer.

Takayuki Fukui1, Toshiki Okasaka2, Koji Kawaguchi2, Koichi Fukumoto2, Shota Nakamura2, Shuhei Hakiri2, Naoki Ozeki2, Kohei Yokoi2.   

Abstract

BACKGROUND: Conditional survival (CS) is defined as living some additional time predicated on living to a certain time point. This study aimed to evaluate the usefulness of CS analyses for postoperative follow-up of surgically treated patients with lung cancer.
METHODS: We retrospectively analyzed survival and clinicopathologic data from 859 patients with non-small cell lung cancer who underwent complete resection. CS is the probability of surviving additional time (y), after an individual has already survived for some time (x), and can be calculated from the following formula: CS(y|x) = S(x + y)/S(x), where S is the overall survival at a specific time.
RESULTS: The 5-year cumulative overall survival rate was 75%. The additional 5-year survival rates at 1, 2, 3, and 4 years after operation (5Y-CS) were 75%, 77%, 77%, and 81%, respectively. The likelihood of surviving for a total of 5 years, 3 years after surgery was 89%. Age less than or equal to 70 years, female sex, no or light smoking, adenocarcinoma histologic type, pathologic stage I, and normal serum carcinoembryonic antigen levels were the clinicopathologic features associated with a high cancer-specific CS. For patients with favorable factors, the 2Y recurrence-free CS (3) reached 100%, whereas 5Y-CS did not change.
CONCLUSIONS: Estimates of CS probabilities may provide more meaningful information than traditional cumulative survival. Even in patients with favorable factors, a postoperative follow-up visit after 3 postsurgical years may be required.
Copyright © 2016 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 26912309     DOI: 10.1016/j.athoracsur.2015.11.067

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  5 in total

1.  Dynamic prognostication using conditional survival analysis for patients with operable lung adenocarcinoma.

Authors:  Wooil Kim; Ho Yun Lee; Sin-Ho Jung; Min-Ah Woo; Hong Kwan Kim; Yong Soo Choi; Jhingook Kim; Jae Ill Zo; Young Mog Shim; Joungho Han; Ji Yun Jeong; Joon Young Choi; Kyung Soo Lee
Journal:  Oncotarget       Date:  2017-05-09

2.  A National Study of Survival Trends and Conditional Survival in Nasopharyngeal Carcinoma: Analysis of the National Population-Based Surveillance Epidemiology and End Results Registry.

Authors:  Jia-Wei Lv; Xiao-Dan Huang; Yu-Pei Chen; Guan-Qun Zhou; Ling-Long Tang; Yan-Ping Mao; Wen-Fei Li; Ai-Hua Lin; Jun Ma; Ying Sun
Journal:  Cancer Res Treat       Date:  2017-04-19       Impact factor: 4.679

3.  Conditional survival analysis of four treatment strategies for patients with stage I non-small cell lung cancer.

Authors:  Yicheng Liang; Xiaoxi Fan; Yunpeng Bai; Dejian Huang; Chunlu Yang
Journal:  Oncol Lett       Date:  2019-05-30       Impact factor: 2.967

4.  Causes of death and conditional survival estimates of long-term lung cancer survivors.

Authors:  Qun Zhang; Yuan Dai; Hongda Liu; Wenkui Sun; Yuming Huang; Zheng Gong; Shanlin Dai; Hui Kong; Weiping Xie
Journal:  Front Immunol       Date:  2022-09-23       Impact factor: 8.786

5.  Conditional Survival of Surgically Treated Patients with Lung Cancer: A Comprehensive Analyses of Overall, Recurrence-free, and Relative Survival.

Authors:  Dong Wook Shin; Jong Ho Cho; Jung Eun Yoo; Juhee Cho; Dong Woog Yoon; Genehee Lee; Sumin Shin; Hong Kwan Kim; Yong Soo Choi; Jhingook Kim; Jae Ill Zo; Young Mog Shim
Journal:  Cancer Res Treat       Date:  2021-03-09       Impact factor: 4.679

  5 in total

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