A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality.

Journal: PLoS medicine
PMID: 39992936

Abstract

BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient triage) and to advance personalized medicine. However, such a prognostic tool is lacking for acute pancreatitis (AP). Increasingly machine learning (ML) techniques are being used to develop high-performing prognostic models in AP. However, methodologic and reporting quality has received little attention. High-quality reporting and study methodology are critical for model validity, reproducibility, and clinical implementation. In collaboration with content experts in ML methodology, we performed a systematic review critically appraising the quality of methodology and reporting of recently published ML AP prognostic models.

Authors

  • Brian Critelli
    Department of Gastroenterology and Hepatology, Weill Cornell Medical College, New York, New York, United States of America.
  • Amier Hassan
    Department of Gastroenterology and Hepatology, Weill Cornell Medical College, New York, New York, United States of America.
  • Ila Lahooti
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Lydia Noh
    Northeast Ohio Medical School, Rootstown, Ohio, United States of America.
  • Jun Sung Park
    Department of Pediatrics, Division of Pediatric Emergency Medicine, Asan Medical Center.
  • Kathleen Tong
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Ali Lahooti
    Department of Gastroenterology and Hepatology, Weill Cornell Medical College, New York, New York, United States of America.
  • Nathan Matzko
    Department of Gastroenterology and Hepatology, Weill Cornell Medical College, New York, New York, United States of America.
  • Jan Niklas Adams
    Department of Process and Data Science, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen, Germany.
  • Lukas Liss
    Department of Process and Data Science, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen, Germany.
  • Justin Quion
    Department of Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
  • David Restrepo
    Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Melica Nikahd
    Department of Bioinformatics, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Stacey Culp
    Department of Bioinformatics, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Adam Lacy-Hulbert
    Department of Systems Immunology, Benaroya Research Institute at Virginia Mason, Seattle, Washington, United States of America.
  • Cate Speake
    Department of Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, Washington, United States of America.
  • James Buxbaum
    Division of Gastroenterology, University of Southern California, Los Angeles, California, USA.
  • Jason Bischof
    Department of Emergency Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Cemal Yazici
    Division of Gastroentrrology and Hepatology, University of Illinois Chicago, Chicago, Illinois.
  • Anna Evans-Phillips
    Department of Gastroenterology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
  • Sophie Terp
    Department of Emergency Medicine, University of Southern California, Los Angeles, California, United States of America.
  • Alexandra Weissman
    Department of Emergency Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
  • Darwin Conwell
    Department of Medicine, University of Kentucky, Lexington, Kentucky, United States of America.
  • Philip Hart
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Mitchell Ramsey
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Somashekar Krishna
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Samuel Han
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Erica Park
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Raj Shah
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Venkata Akshintala
    Department of Gastroenterology, Johns Hopkins Medical Center, Baltimore, Maryland, United States of America.
  • John A Windsor
    Department of Surgical and Translational Research Centre, University of Auckland, Auckland, New Zealand.
  • Nikhil K Mull
    Department of Hospital Medicine and Penn Medicine Center for Evidence-based Practice, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Georgios Papachristou
    Department of Gastroenterology and Hepatology, Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
  • Leo Anthony Celi
    Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Peter Lee
    Burke Medical Research Institute, White Plains, NY, USA.

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