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Ewelina Nojszewska



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    EP1.16 - Treatment in the Real World - Support, Survivorship, Systems Research (ID 206)

    • Event: WCLC 2019
    • Type: E-Poster Viewing in the Exhibit Hall
    • Track: Treatment in the Real World - Support, Survivorship, Systems Research
    • Presentations: 1
    • Now Available
    • Moderators:
    • Coordinates: 9/08/2019, 08:00 - 18:00, Exhibit Hall
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      EP1.16-45 - The Use of Propensity Score Matching to Analyze the Effectiveness of Medical Procedures on the Example of Survival of Patients with Lung Tumors (Now Available) (ID 479)

      08:00 - 18:00  |  Presenting Author(s): Ewelina Nojszewska

      • Abstract
      • Slides

      Background

      Cancer diseases are among the most common causes of mortality in Poland, with the highest mortality caused by cancers of the trachea, bronchi and lungs (C33 and C34).

      Simple comparison of the appropriate median survival rates for groups of patients receiving different treatments would require the assumption of high similarity of the characteristics of the patients, what usually cannot be assumed. The Propensity Score Matching method used among others to assess the effects of treatment addresses this problem. The propensity score vector is defined as the probability of being treated.

      Method

      Using the Propensity Score Matching method, the impact of the disease stage was estimated as a conditioning variable on the survival of patients undergoing surgery due to squamous cell lung tumors, registered in the database of the Institute of Tuberculosis and Lung Diseases in Warsaw, Poland. The resulting variable in the study is the change in survival calculated in days for two surgical procedures, that is thoracotomy and VATS. In order to ensure comparability of results obtained for both procedures, the analysis included patients with tumors smaller than 55 mm. 10803 patients who have undergone thoracotomy and 1167 patients who have undergone VATS were identified in the database. Only those stages for which number of observations was at least 1000 were analyzed. The calculations were made using the Matching package in R Software.

      Result

      In the case of thoracotomy, stages IIA, IB, IIB were associated with prolonged survival (325, 63 and 124 days respectively), whereas patients in stages IVA, IIIA and IIIB survived accordingly 340, 217 and 453 days shorter. For VATS, only patients in stage IIIA survived for considerably different time than other patients – 329 days shorter.

      Conclusion

      Propensity Score Matching method confirmed findings from simple comparisons of the appropriate median survival rates.

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