Advanced in Toxic Megacolon

Kevin C. Katz

Toronto, ON, CA 
Advanced in Toxic Megacolon
Toronto, ON, CA 
OverviewLocationsClinical Research

Overview

Kevin Katz practices in Toronto, Canada. Mr. Katz is rated as an Advanced expert by MediFind in the treatment of Toxic Megacolon. His top areas of expertise are Flu, Toxic Megacolon, Methicillin-Resistant Staphylococcus Aureus (MRSA), and Severe Acute Respiratory Syndrome (SARS).

His clinical research consists of co-authoring 131 peer reviewed articles and participating in 1 clinical trial. MediFind looks at clinical research from the past 15 years. In particular, he has co-authored 2 articles in the study of Toxic Megacolon.

Gender
Male

Locations

Toronto, ON, Canada
Other Locations
Toronto, Canada
4001 Leslie St, North York, ON M2K1E1, Canada
St. John's All In Canada, Ottawa, ON, Canada

Clinical Research

Clinical research consists of overseeing clinical studies of patients undergoing new treatments and therapies, and publishing articles in peer reviewed medical journals. Experts who actively participate in clinical research are generally at the forefront of the fields and aware of the most up-to-date advances in treatments for their patients.

1 Clinical Trials

Effectiveness of Fecal Flora Alteration for Eradication of Carbapenemase-producing Enterobacteriaceae Colonization Trial (EFFECT-CPE): a Multisite, Open-label, Randomized Controlled Feasibility Pilot Trial
Effectiveness of Fecal Flora Alteration for Eradication of Carbapenemase-producing Enterobacteriaceae Colonization Trial (EFFECT-CPE): a Multisite, Open-label, Randomized Controlled Feasibility Pilot Trial
Enrollment Status: Suspended
Publish Date: November 03, 2022
Intervention Type: Biological
Study Phase: Phase 2/Phase 3

131 Total Publications

Correction: Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.
Correction: Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.
Journal: BMC infectious diseases
Published: October 16, 2025

Areas of Expertise

MediFind evaluates expertise by pulling from factors such as number of articles a doctor has published in medical journals, participation in clinical trials, speaking at industry conferences, prescribing and referral patterns, and strength of connections with other experts in their field.

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