Management of Percutaneous Cholecystostomy Drains: A Consensus Statement - Top_Commentaries - MDSpire

Management of Percutaneous Cholecystostomy Drains: A Consensus Statement

  • By

  • Mohammed Al Azzawi

  • Carolyn Cullinane

  • Michael Devine

  • Conor Toale

  • Stephen O’Brien

  • Matthew Davey

  • Czara Kennedy

  • Aine O’Neill

  • Nicola Raftery

  • Eanna James Ryan

  • Noel Donlon

  • Jessie A. Elliott

  • William B. Robb

  • Arnold D. K. Hill

  • Jarlath Bolger

  • Irish Surgical Research Collaborative Group—Percutaneous Drainage Delphi Expert Panel

  • Mahmoud Abdelmoeiti

  • Mohammed Al Kayal

  • Mayilone Arumugasamy

  • Chwanrow Baban

  • Kevin Barry

  • Ian Brennan

  • Abeeda Butt

  • Paul Caroll

  • Liam Devane

  • Claire Donohoe

  • Christina Fleming

  • Niamh Foley

  • Sean Johnston

  • Dara Kavanagh

  • David Kearney

  • Michael Kerin

  • Noel Lynch

  • Graeme MacAulay

  • Achille Mastrosimone

  • Niamh McCawley

  • Orla McCormack

  • Mcgrath Andrew

  • Etain McGuinness

  • Deborah McNamara

  • Dough Mullholland

  • Brenda Murphy

  • Thomas Murphy

  • Peter Neary

  • Damien O'Neill

  • Cristoir O’Sullibhean

  • Adrian O’Sullivan

  • Samir Pathak

  • Colin Peirce

  • Paul Ridgway

  • Andrew G Robertson

  • Kevin P Sheahan

  • Mark Sheehan

  • Bohdan Smajer

  • Anthony Stafford

  • Michael Sugrue

  • Shibojit Talukder

  • June 5, 2026

  • 0 min

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3 Topic Commentaries

Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning

  • Dr. Jane Smith, MD, Neurocritical Care Physician, MD

    Assistant Professor of Neurology

    •

    University Hospital of Critical Care Medicine

    “While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”

    [Source]
  • Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD

    Senior Research Fellow

    •

    Institute for Brain Health Research

    “In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”

    [Source]
  • Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH

    Public Health Policy Advisor

    •

    National Stroke & Infection Control Coalition

    “Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”

    [Source]

Original Source(s)

Management of Percutaneous Cholecystostomy Drains: A Consensus Statement

  • by Mohammed Al Azzawi, Carolyn Cullinane, Michael Devine, Conor Toale, Stephen O’Brien, Matthew Davey, Czara Kennedy, Aine O’Neill, Nicola Raftery, Eanna James Ryan, Noel Donlon, Jessie A. Elliott, William B. Robb, Arnold D. K. Hill, Jarlath Bolger, Irish Surgical Research Collaborative Group—Percutaneous Drainage Delphi Expert Panel, Mahmoud Abdelmoeiti, Mohammed Al Kayal, Mayilone Arumugasamy, Chwanrow Baban, Kevin Barry, Ian Brennan, Abeeda Butt, Paul Caroll, Liam Devane, Claire Donohoe, Christina Fleming, Niamh Foley, Sean Johnston, Dara Kavanagh, David Kearney, Michael Kerin, Noel Lynch, Graeme MacAulay, Achille Mastrosimone, Niamh McCawley, Orla McCormack, Mcgrath Andrew, Etain McGuinness, Deborah McNamara, Dough Mullholland, Brenda Murphy, Thomas Murphy, Peter Neary, Damien O'Neill, Cristoir O’Sullibhean, Adrian O’Sullivan, Samir Pathak, Colin Peirce, Paul Ridgway, Andrew G Robertson, Kevin P Sheahan, Mark Sheehan, Bohdan Smajer, Anthony Stafford, Michael Sugrue, Shibojit Talukder

  • June 5, 2026

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