{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:40:11Z","timestamp":1771458011013,"version":"3.50.1"},"reference-count":39,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T00:00:00Z","timestamp":1763251200000},"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":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Procedural volume thresholds (VTs) for hospital quality reporting rely on expert consensus or analytic methods that may produce inconsistent VTs (e.g. restricted cubic splines (RCS), optimal cutpoints, classification and regression trees (CART), stratum specific likelihood ratios (SSLR)). The objective of this study was to compare variation in hospital\u2010level VTs for pancreatectomy across multiple methodologies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Patients undergoing pancreatectomy from 2004 to 2021 were identified using the National Cancer Database. RCS, optimal cutpoints, CART, and SSLR were used to compute VTs based on 90\u2010day mortality. From a single clinical data set, VTs were derived multiple times for each method by varying statistical parameters within each model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Overall, 61,920 patients underwent pancreatectomy at 982 hospitals. VTs associated with reductions in 90\u2010day mortality ranged from 9.2 to 26.1 cases\/year (RCS), 15.7\u201333.8 cases\/year (optimal cutpoints), and 11\u201318 cases\/year (CART), all based on modifiable statistical parameters. SSLR analysis yielded a singular VT of 21 cases\/year without variability due to lack of statistical input.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Among 4 common strategies for identifying VT that we studied, SSLR required the fewest assumptions. This may make it ideal for enhancing transparency and standardization in outcomes reporting.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jso.70134","type":"journal-article","created":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T15:45:06Z","timestamp":1763307906000},"page":"92-100","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Reproducibility and Consistency of Methods to Define Hospital\u2010Level Procedural Volume Thresholds for Pancreatectomy"],"prefix":"10.1002","volume":"133","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9151-3164","authenticated-orcid":false,"given":"Kristen N.","family":"Kaiser","sequence":"first","affiliation":[{"name":"Department of Surgery, Indiana School of Medicine Surgical Outcomes and Quality Improvement Center (SOQIC) Indianapolis Indiana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexa 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