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Factors associated with disease-specific survival of patients with non-small cell lung cancer

Overview of attention for article published in Jornal de Pneumologia, January 2016
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Title
Factors associated with disease-specific survival of patients with non-small cell lung cancer
Published in
Jornal de Pneumologia, January 2016
DOI 10.1590/s1806-37562015000000069
Pubmed ID
Authors

Mirian Carvalho de Souza, Oswaldo Gonçalves Cruz, Ana Glória Godoi Vasconcelos

Abstract

Lung cancer is a global public health problem and is associated with high mortality. Lung cancer could be largely avoided by reducing the prevalence of smoking. The objective of this study was to analyze the effects of social, behavioral, and clinical factors on the survival time of patients with non-small cell lung cancer treated at Cancer Hospital I of the José Alencar Gomes da Silva National Cancer Institute, located in the city of Rio de Janeiro, Brazil, between 2000 and 2003. This was a retrospective hospital cohort study involving 1,194 patients. The 60-month disease-specific survival probabilities were calculated with the Kaplan-Meier method for three stage groups. The importance of the studied factors was assessed with a hierarchical theoretical model after adjustment by Cox multiple regression. The estimated 60-month specific-disease lethality rate was 86.0%. The 60-month disease-specific survival probability ranged from 25.0% (stages I/II) to 2.5% (stage IV). The performance status, the intention to treat, and the initial treatment modality were the major prognostic factors identified in the study population. In this cohort of patients, the disease-specific survival probabilities were extremely low. We identified no factors that could be modified after the diagnosis in order to improve survival. Primary prevention, such as reducing the prevalence of smoking, is still the best method to reduce the number of people who will suffer the consequences of lung cancer. O câncer de pulmão é um problema de saúde pública global e é associado a elevada mortalidade. Ele poderia ser evitado em grande parte com a redução da prevalência do tabagismo. O objetivo deste estudo foi analisar os efeitos de fatores sociais, comportamentais e clínicos sobre o tempo de sobrevida de pacientes com câncer de pulmão de células não pequenas atendidos, entre 2000 e 2003, no Hospital do Câncer I do Instituto Nacional de Câncer José Alencar Gomes da Silva, localizado na cidade do Rio de Janeiro. Estudo retrospectivo de coorte hospitalar com 1.194 pacientes. As probabilidades de sobrevida doença-específica em 60 meses foram calculadas com o método de Kaplan-Meier para três grupos de estadiamento. A importância dos fatores estudados foi avaliada por um modelo teórico hierarquizado após o ajuste de modelos de regressão múltipla de Cox. Foi estimada uma taxa de letalidade doença-específica em 60 meses de 86,0%. A probabilidade de sobrevida doença-específica em 60 meses variou de 25,0%, nos estádios iniciais, a 2,5%, no estádio IV. A situação funcional, a intenção e a modalidade do tratamento inicial foram os principais fatores prognósticos identificados na população estudada. As probabilidades de sobrevida doença-específica estimadas na amostra estudada foram muito baixas, e não foram identificados fatores que pudessem ser modificados após o diagnóstico visando uma melhora da sobrevida. A prevenção primária, como a redução da prevalência do tabagismo, ainda é a melhor forma de evitar que mais pessoas sofram as consequências do câncer de pulmão.

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Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 19%
Student > Ph. D. Student 8 15%
Student > Master 6 11%
Researcher 6 11%
Professor 2 4%
Other 4 7%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 12 22%
Nursing and Health Professions 5 9%
Biochemistry, Genetics and Molecular Biology 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Agricultural and Biological Sciences 2 4%
Other 7 13%
Unknown 20 37%