Literature DB >> 30937488

Competing Risk Analysis in Lung Cancer Patients Over 80 Years Old Undergoing Surgery.

Haruaki Hino1, Takahiro Karasaki2, Yukihiro Yoshida3, Takeshi Fukami4, Atsushi Sano5, Makoto Tanaka6, Yoshiaki Furuhata7, Kosuke Kashiwabara8, Junji Ichinose2, Mitsuaki Kawashima2, Jun Nakajima9.   

Abstract

BACKGROUND: This study aimed to analyze cause-specific mortality in lung cancer patients over 80 years old undergoing surgery.
METHODS: This retrospective, multi-institutional analysis included patients aged ≥ 80 years who underwent radical surgery for primary lung cancer from January 1998 to December 2015. Preoperative clinical data, surgical results, survival, and cause of death were evaluated. Competing risk analysis for cause-specific mortality was performed.
RESULTS: Of the 337 patients (median age 82 years) enrolled and analyzed, 68.1% were male. There were 52 and 44 cancer-specific and non-cancer-specific deaths, respectively. On competing risk regression analysis, non-cancer-specific deaths were significantly associated with male sex (hazard ratio [HR]: 3.06, 95% confidence interval [CI]: 1.02-9.12, p = 0.046), coronary artery disease (HR: 2.49, 95% CI: 2.49 [1.14-5.47], p = 0.02), interstitial pneumonia (HR: 3.58, 95% CI: 1.73-7.40, p < 0.001), and pathological stage III (HR: 3.83, 95% CI: 1.44-10.13, p = 0.007). In contrast, cancer-specific deaths were significantly associated with limited resection (HR: 1.99, 95% CI: 1.02-3.89, p = 0.04) and pathological stage III (HR: 3.13, 95% CI: 1.44-6.80, p = 0.004). The 5-year cumulative incidences of lung cancer-specific and non-cancer-specific deaths were 18.0% and 15.9%, respectively.
CONCLUSIONS: Prognostic factors for non-cancer-specific death were different from those of cancer-specific death, except for pathological stage. Each prognostic factor should be considered when deciding surgical indication and procedure and monitoring for pulmonary events during outpatient follow-up.

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Year:  2019        PMID: 30937488     DOI: 10.1007/s00268-019-04982-4

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  25 in total

1.  Cause-specific death after surgical resection for early-stage non-small-cell lung cancer.

Authors:  Anders Standal Bugge; May Brit Lund; Morten Valberg; Odd Terje Brustugun; Steinar Solberg; Johny Kongerud
Journal:  Eur J Cardiothorac Surg       Date:  2018-01-01       Impact factor: 4.191

Review 2.  Lung cancer in octogenarians.

Authors:  Elizabeth M Blanchard; Konstantinos Arnaoutakis; Paul J Hesketh
Journal:  J Thorac Oncol       Date:  2010-06       Impact factor: 15.609

3.  A proposal for a comprehensive risk scoring system for predicting postoperative complications in octogenarian patients with medically operable lung cancer: JACS1303.

Authors:  Hisashi Saji; Takahiko Ueno; Hiroshige Nakamura; Norihito Okumura; Masanori Tsuchida; Makoto Sonobe; Takuro Miyazaki; Keiju Aokage; Masayuki Nakao; Tomohiro Haruki; Hiroyuki Ito; Kazuhiko Kataoka; Kazunori Okabe; Kenji Tomizawa; Kentaro Yoshimoto; Hirotoshi Horio; Kenji Sugio; Yasuhisa Ode; Motoshi Takao; Morihito Okada; Masayuki Chida
Journal:  Eur J Cardiothorac Surg       Date:  2018-04-01       Impact factor: 4.191

4.  Surgical treatment of non-small cell lung cancer in octogenarians.

Authors:  Olivia Fanucchi; Marcello Carlo Ambrogi; Paolo Dini; Marco Lucchi; Franca Melfi; Federico Davini; Alfredo Mussi
Journal:  Interact Cardiovasc Thorac Surg       Date:  2011-02-05

5.  Pulmonary resection in patients aged 80 years or over with clinical stage I non-small cell lung cancer: prognostic factors for overall survival and risk factors for postoperative complications.

Authors:  Jiro Okami; Masahiko Higashiyama; Hisao Asamura; Tomoyuki Goya; Yoshihiko Koshiishi; Yasunori Sohara; Kenji Eguchi; Masaki Mori; Yoichi Nakanishi; Ryosuke Tsuchiya; Etsuo Miyaoka
Journal:  J Thorac Oncol       Date:  2009-10       Impact factor: 15.609

6.  Competing risk analysis of men aged 55 to 74 years at diagnosis managed conservatively for clinically localized prostate cancer.

Authors:  P C Albertsen; J A Hanley; D F Gleason; M J Barry
Journal:  JAMA       Date:  1998-09-16       Impact factor: 56.272

7.  Cancer-specific mortality and competing mortality in patients with head and neck squamous cell carcinoma: a competing risk analysis.

Authors:  Weidong Shen; Naoko Sakamoto; Limin Yang
Journal:  Ann Surg Oncol       Date:  2014-07-30       Impact factor: 5.344

8.  Introduction to the Analysis of Survival Data in the Presence of Competing Risks.

Authors:  Peter C Austin; Douglas S Lee; Jason P Fine
Journal:  Circulation       Date:  2016-02-09       Impact factor: 29.690

Review 9.  Thoracic and cardiovascular surgery in Japan during 2014 : Annual report by The Japanese Association for Thoracic Surgery.

Authors:  Munetaka Masuda; Meinoshin Okumura; Yuichiro Doki; Shunsuke Endo; Yasutaka Hirata; Junjiro Kobayashi; Hiroyuki Kuwano; Noboru Motomura; Hiroshi Nishida; Yoshikatsu Saiki; Aya Saito; Hideyuki Shimizu; Fumihiro Tanaka; Kazuo Tanemoto; Yasushi Toh; Hiroyuki Tsukihara; Shinji Wakui; Hiroyasu Yokomise
Journal:  Gen Thorac Cardiovasc Surg       Date:  2016-11

10.  Impact of age on the cancer-specific survival of patients with localized renal cell carcinoma: martingale residual and competing risks analysis.

Authors:  Muyan Cai; Jinhuan Wei; Zhiling Zhang; Hongwei Zhao; Yunqiao Qiu; Yong Fang; Zhenli Gao; Jiazheng Cao; Wei Chen; Fangjian Zhou; Dan Xie; Junhang Luo
Journal:  PLoS One       Date:  2012-10-30       Impact factor: 3.240

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  2 in total

1.  Preoperative coronary artery calcifications in veterans predict higher all-cause mortality in early-stage lung cancer: a cohort study.

Authors:  Maren E Shipe; Amelia W Maiga; Stephen A Deppen; Gretchen C Edwards; Hannah N Marmor; Rhonda Pinkerman; Gary T Smith; Elizabeth Lio; Johnny L Wright; Chirayu Shah; Jonathan C Nesbitt; Eric L Grogan
Journal:  J Thorac Dis       Date:  2021-03       Impact factor: 2.895

2.  Improving the Lung Cancer Clinical Trial Development by Incorporating Competing Risk Factors.

Authors:  Zhu Wenbo; Zhao Qing; Wang Li; Zhu Hangju; Zhang Junying; Han Jing; Qing Rong; Feng Jifeng; Shi Meiqi
Journal:  Biomed Res Int       Date:  2021-09-14       Impact factor: 3.411

  2 in total

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