The Predictive Value of Basic Laparoscopic Evaluations on Complex Cases Using the Society for Improving Medical Procedural Learning Database.

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Bibliographic Details
Title: The Predictive Value of Basic Laparoscopic Evaluations on Complex Cases Using the Society for Improving Medical Procedural Learning Database.
Authors: Balch JA; Department of Surgery, University of Florida, Gainesville, Florida; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida., Sebok-Syer SS; Deparment of Emergency Medicine, Stanford University, Stanford, California., Marcotte K; Center for Surgical Training and Research, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan., Pradarelli AA; Center for Surgical Training and Research, Department of Surgery, University of Michigan, Ann Arbor, Michigan., Moreci R; Center for Surgical Training and Research, Department of Surgery, University of Michigan, Ann Arbor, Michigan., Shickel B; Department of Medicine, University of Florida, Gainesville, Florida., Krumm AE; Center for Surgical Training and Research, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan., Loftus TJ; Department of Surgery, University of Florida, Gainesville, Florida; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida. Electronic address: tyler.loftus@surgery.ufl.edu.
Source: The Journal of surgical research [J Surg Res] 2025 Jul; Vol. 311, pp. 164-171. Date of Electronic Publication: 2025 May 27.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 0376340 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8673 (Electronic) Linking ISSN: 00224804 NLM ISO Abbreviation: J Surg Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-8673
DOI:10.1016/j.jss.2025.04.041