Evidence map›Paper›PMID 28980067›Full record

ArticleJournal of cancer research and clinical oncology2018

Causes of death and competing risk analysis of the associated factors for non-small cell lung cancer using the Surveillance, Epidemiology, and End Results database.

Shenhai Wei, Jintao Tian, Xiaoping Song, Bingqun Wu, Limin Liu

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Trial
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  7. Surrogate Markers for Pulmonary Hypertension May Inform Prognosis in Lung Cancer.American journal of respiratory and critical care medicine · 2021
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  8. Article
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  11. Marital Status and Survival in Osteosarcoma Patients: An Analysis of the Surveillance, Epidemiology, and End Results (SEER) Database.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  12. Article
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  19. Survivin-Based Treatment Strategies for Squamous Cell Carcinoma.International journal of molecular sciences · 2018
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shenhai WeiDepartment of Thoracic Surgery, First Hospital of Tsinghua University, No. 6, the First Road, Jiuxianqiao, Chaoyang District, Beijing, 100016, People's Republic of China. weishenh@qq.com.ORCID http://orcid.org/0000-0003-2857-296X
Jintao TianDepartment of Thoracic Surgery, First Hospital of Tsinghua University, No. 6, the First Road, Jiuxianqiao, Chaoyang District, Beijing, 100016, People's Republic of China.
Xiaoping SongDepartment of Thoracic Surgery, First Hospital of Tsinghua University, No. 6, the First Road, Jiuxianqiao, Chaoyang District, Beijing, 100016, People's Republic of China.
Bingqun WuDepartment of Thoracic Surgery, First Hospital of Tsinghua University, No. 6, the First Road, Jiuxianqiao, Chaoyang District, Beijing, 100016, People's Republic of China.
Limin LiuDepartment of Physiology, Capital Medical University, Beijing, 100069, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the probability of death (POD) from any causes by time after diagnosis of non-small cell lung cancer (NSCLC) and the factors associated with survival for NSCLC patients.

methodsA total of 202,914 patients with NSCLC from 2004 to 2013 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The overall survival (OS) and lung cancer-specific survival (LCSS) were calculated and POD from any causes at different time periods after diagnosis was explored. The predictive factors for OS, LCSS and survival from non-lung cancer deaths were investigated using multivariate analysis with Cox proportional hazards regression and competing risk regression analysis.

resultsThe 5- and 10-year OS were 20.4% and 11.5%, accordingly that for LCSS were 25.5% and 18.4%, respectively. Lung cancer contributed 88.3% (n = 128,402) of the deaths. The POD from lung cancer decreased with time after diagnosis. In multivariate analysis, advanced age and advanced stage of NSCLC were associated with decreased OS and LCSS. Comparing to no surgery, any kind of resection conferred lower risk of death from lung cancer and higher risk of dying from non-lung cancer conditions except lobectomy or bilobectomy, which was associated with lower risk of death from both lung cancer and non-lung cancer conditions.

conclusionsMost of the patients with NSCLC died from lung cancer. Rational surveillance and treatment policies should be made for them. Early stage and lobectomy or bilobectomy were associated with improved OS and LCSS. It is reasonable to focus on early detection and optimal surgical treatment for NSCLC.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCause of DeathFemaleHumansLung NeoplasmsMaleMiddle AgedProportional Hazards ModelsSEER ProgramSurvival RateUnited StatesCause of deathLung cancer-specific survivalNon-small cell lung cancerOverall survival

Identifiers

PMID28980067
PMCPMC11813534

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.