{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:47:56Z","timestamp":1786978076034,"version":"build-2736575974"},"reference-count":29,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2018,11,6]],"date-time":"2018-11-06T00:00:00Z","timestamp":1541462400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Surgical Oncology"],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:sec>\n                    <jats:title>Background and Objectives<\/jats:title>\n                    <jats:p>\n                      <jats:italic>Prolonged air leaks<\/jats:italic>\n                      (PAL) are the most frequent complication after lobectomy for non\u2013small cell lung cancer, even in case of minimally invasive approaches. We developed a novel score to identify high\u2010risk patients for PAL during minimally invasive lobectomy.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A dedicated database was created. We investigated preoperative candidate features and specific intraoperative variables. Univariate and subsequent logistic regression analysis with bootstrap resampling have been used. Model performance has been assessed by reckoning the area under the receiver operating characteristics curve and the Hosmer\u2010Lemeshow goodness of fit.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      PAL (&gt;5 days) occurred in 72 (15.69%) patients. Five variables emerged from the model. Each one was assigned a score to provide a cumulative scoring system: forced expiratory volume in 1 second below 86% (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.004, 1.5 points), body mass index &lt;24 (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.002, 1 point), active smoking (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.001, 1.5 points), incomplete fissures (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.004, 1.5 points), and adhesions (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.0001, 1 point). The new score provided a stratification into four risk classes.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The risk score incorporates either general or more specific variables, providing a risk stratification that could be readily applied intra\u2010 and postoperatively. Henceforth, specific technical and management measures could be properly allocated to curb PAL.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jso.25289","type":"journal-article","created":{"date-parts":[[2018,11,6]],"date-time":"2018-11-06T13:02:30Z","timestamp":1541509350000},"page":"1285-1291","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The everlasting issue of prolonged air leaks after lobectomy for non\u2010small cell lung cancer: A data\u2010driven prevention planning model in the era of minimally invasive approaches"],"prefix":"10.1002","volume":"118","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3867-9429","authenticated-orcid":false,"given":"Andrea","family":"Viti","sequence":"first","affiliation":[{"name":"Division of Thoracic Surgery, Department of Surgery, IRCCS Ospedale Sacro Cuore Don Calabria Negrar 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