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The impact of hospital and surgeon volume on the 30-day mortality of lung cancer surgery: A nation-based reappraisal Pierre-Emmanuel Falcoz, MD, PhD, Marc Puyraveau, MSc, Caroline Rivera, MD, Alain Bernard, MD, PhD, Gilbert Massard, MD, PhD, Frederic Mauny, MD, PhD, Marcel Dahan, MD, PhD, Pascal-Alexandre Thomas, MD, PhD The Journal of Thoracic and Cardiovascular Surgery Volume 148, Issue 3, Pages (September 2014) DOI: /j.jtcvs Copyright © 2014 The American Association for Thoracic Surgery Terms and Conditions
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Figure 1 Time trends in observed 30-day mortality: public and private hospitals. Over time, we note a decrease in 30-day mortality both in public and private hospitals with a more significant improvement in the private sector. IC95%, 95% confidence interval. The Journal of Thoracic and Cardiovascular Surgery , DOI: ( /j.jtcvs ) Copyright © 2014 The American Association for Thoracic Surgery Terms and Conditions
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Figure 2 Variations in odd ratios (OR) on 30-day mortality by surgeon or hospital volume. The blue curve symbolizes the modelized odds variation by hospital volume for 30-day mortality within the Epithor database. The red curve symbolizes the odds variation by surgeon volume for 30-day mortality within the Epithor database. The reference value is 46 procedures per year by surgeon (OR = 1) corresponding to the mean number of procedures done by a given surgeon within Epithor. The lowest OR is estimated for 89 procedures by year (OR = 0.722), whereas the highest OR is estimated for 30 major procedures per year (OR = 1.081). The Journal of Thoracic and Cardiovascular Surgery , DOI: ( /j.jtcvs ) Copyright © 2014 The American Association for Thoracic Surgery Terms and Conditions
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