ArticleJPRAS open2025
Hope for the best, but prepare for the worst - Diagnostic accuracy of the American College of Surgeons National Surgical Quality Improvement Program - Risk model for patients undergoing abdominoplasty after massive weight loss - Results from a Retrospective Cohort Study.
Article in JPRAS open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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4 authors.
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Abstract
Background: This study aimed to validate the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) risk calculator for predicting outcomes in patients undergoing abdominoplasty after massive weight loss. Methods: Patients' characteristics, pre-existing comorbidities and adverse outcomes in our department from 2013 to 2023 were collected retrospectively. Adverse events were defined according to ACS-NSQIP standards and predicted risks were calculated manually using the ACS-NSQIP risk calculator. Binary logistic regression and the Brier score were used to assess the diagnostic accuracy of the model. Results: Among the 337 individuals who underwent abdominoplasty, 251 had achieved significant weight loss before surgery. After excluding 46 cases due to incomplete data, 205 cases remained for analysis. There were 20% cases of serious complications, 26.3% of some complications, 10.2% of readmissions, 18.8% returned to the operating theatre, 15.6% of surgical site infections and 0.5% each of pneumonia and venous thromboembolism. Although the calculator predicted a 1.5% discharge rate to nursing or rehabilitation facilities and a 0.1% rate of sepsis, neither outcome was observed. Elevated American Society of Anesthesiologists (ASA) status was significantly associated with a higher complication rate, except for surgical site infections (SSI) ( Conclusion: The ACS-NSQIP risk calculator does not reliably predict adverse outcomes in this patient cohort.
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