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A.R. Silva
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P1.06 - Poster Session/ Screening and Early Detection (ID 218)
- Event: WCLC 2015
- Type: Poster
- Track: Screening and Early Detection
- Presentations: 1
- Moderators:
- Coordinates: 9/07/2015, 09:30 - 17:00, Exhibit Hall (Hall B+C)
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P1.06-013 - Delays of Diagnosis and Treatment of Lung Cancer in a Populous Region of Brazil (ID 2849)
09:30 - 09:30 | Author(s): A.R. Silva
- Abstract
Background:
This study was undertaken to measure delays of diagnosis and treatment of lung cancer in a poor region of São Paulo, Brazil, where there are four million people. In addition, the relation of delay times and survival was analyzed
Methods:
We retrospectively reviewed 509 patients with lung cancer between July 2008 and December 2014. All patients admitted with lung cancer in our institution, which is the only reference for patients with cancer in this region, were considered eligible for this study once they had not undergone any previous oncology treatment. Dates for symptoms, visits to doctors, treatment and death were recorded. The delays in the diagnosis and treatment of lung cancer were arranged in the following time intervals: -Time (months) from the first symptoms experienced by the patient (history patients - HP) to the date on which the patient was diagnosed with cancer (DX); -Time (months) from initial presentation to the first appointment (first app) with a specialist in our institution to the date on which the patient was diagnosed with cancer (DX); -Time (months) from date on which the patient was diagnosed with cancer (DX) to the starting date of treatment (TTO). Descriptive analysis of data was carried out using measures of central tendency (median). Kaplan-Meier survival estimates were used to determine 5-year lung cancer specific survival for all patient and Log-rank (Mantel-cox) and Breslow (Generalized Wilcoxon) analyses were used to compare differences between factors. Survival was calculated from the date of patient admission at our institution to the date of last follow-up or until death from any cause. Statistical analyses were performed using SPSS v 17.0 for Windows.
Results:
Demographic characteristics of the 509 lung cancer patients were analyzed. The median age of these patients was 62 years (range 26 -96 years) and more than 75 percent of these patients were smokers. For all patients, median overall survival was 7 months (95% CI: 5.7 to 8.2) with 34.5% of these patients surviving one year and 8.1% surviving five years. Patients have spent a relevant time waiting in each interval period. For instance, the median time from the history patient (HP) to the diagnosis (DX) was 3 months. From the first appointment (first app) to diagnosis (DX) was 1 month, however, 79% of patients were diagnosed up to 2 months. Finally, the median time from the diagnosis (DX) to the starting date of treatment (TTO) was 1 month, but the majority of patients (82.5%) started the treatment up to 2 months. There was no statistical relationship between the delays and the mortality of patients. The time gap between the development of the first symptoms and the beginning of treatment was not relevant to the mortality rate of lung cancer, as shown in the survival data of the Kaplan-Meier graph.
Conclusion:
We have a relatively long time for confirmation of lung cancer and also to start treatment. Despite these data were not an independent significant factor for survival, this type of study is important to alert medical societies and government health agencies.
