Validation of the Japanese National Clinical Database Risk calculator for lung cancer surgery focused on postoperative morbidity

[1] Takamochi K(2011)Risk factors for morbidity after pulmonary resection for lung cancer in younger and elderly patients Interact Cardiovasc Thorac Surg 12 739-743

[2] Oh S(2017)Video-assisted thoracoscopic surgery lobectomy via confronting upside-down monitor setting J Vis Surg 3 129-497

[3] Matsuoka J(2017)European risk models for morbidity (EuroLung1) and mortality (EuroLung2) to predict outcome following anatomic lung resections: an analysis from the European Society of Thoracic Surgeons database Eur J Cardiothorac Surg 51 490-842

[4] Suzuki K(2013)Development and evaluation of the universal ACS NSQIP Surgical risk calculator: a decision aid and informed consent tool for patients and surgeons J Am Coll Surg 217 833-377

[5] Mun M(2016)The Society of Thoracic Surgeons lung cancer resection risk model: higher quality data and superior outcomes Ann Thorac Surg 102 370-139

[6] Ichinose J(2015)Operative mortality and complication risk model for all major cardiovascular operations in Japan Ann Thorac Surg 99 130-1189

[7] Matsuura Y(2017)Model of lung cancer surgery risk derived from a Japanese nationwide web-based database of 78594 patients during 2014–2015 Eur J Cardiothorac Surg 52 1182-213

[8] Nakao M(2004)Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey Ann Surg 240 205-35

[9] Okumura S(1950)Index for rating diagnostic tests Cancer 3 32-289

[10] Brunelli A(2015)Comparison of clinical outcome of stage I non-small cell lung cancer treated surgically or with stereotactic radiotherapy: results from propensity score analysis Lung Cancer 87 283-705

[1] Takamochi K(2011)Risk factors for morbidity after pulmonary resection for lung cancer in younger and elderly patients Interact Cardiovasc Thorac Surg 12 739-743

[2] Oh S(2017)Video-assisted thoracoscopic surgery lobectomy via confronting upside-down monitor setting J Vis Surg 3 129-497

[3] Matsuoka J(2017)European risk models for morbidity (EuroLung1) and mortality (EuroLung2) to predict outcome following anatomic lung resections: an analysis from the European Society of Thoracic Surgeons database Eur J Cardiothorac Surg 51 490-842

[4] Suzuki K(2013)Development and evaluation of the universal ACS NSQIP Surgical risk calculator: a decision aid and informed consent tool for patients and surgeons J Am Coll Surg 217 833-377

[5] Mun M(2016)The Society of Thoracic Surgeons lung cancer resection risk model: higher quality data and superior outcomes Ann Thorac Surg 102 370-139

[6] Ichinose J(2015)Operative mortality and complication risk model for all major cardiovascular operations in Japan Ann Thorac Surg 99 130-1189

[7] Matsuura Y(2017)Model of lung cancer surgery risk derived from a Japanese nationwide web-based database of 78594 patients during 2014–2015 Eur J Cardiothorac Surg 52 1182-213

[8] Nakao M(2004)Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey Ann Surg 240 205-35

[9] Okumura S(1950)Index for rating diagnostic tests Cancer 3 32-289

[10] Brunelli A(2015)Comparison of clinical outcome of stage I non-small cell lung cancer treated surgically or with stereotactic radiotherapy: results from propensity score analysis Lung Cancer 87 283-705