MG
Highly rated in
10
conditions
Highly rated in
10
conditions
Check Dr. Marsha K. Guess' experience treating your condition:
About Dr. Marsha K. Guess

Marsha Guess is an Obstetrics and Gynecologist and a Plastic Surgeon in Lone Tree, Colorado. Guess has been practicing medicine for over 26 years and is highly rated in 10 conditions, according to our data. Her top areas of expertise are Urinary Incontinence, Stress Urinary Incontinence, Uterine Prolapse, Frequent or Urgent Urination, and Hysterectomy. She is licensed to treat patients in Colorado and Connecticut. Guess is currently accepting new patients.

Her clinical research consists of co-authoring 24 peer reviewed articles in the past 15 years.

Insurance

MediFind strives to display the most accurate insurance information for every doctor. If you do not see your insurance listed for Dr. Marsha K. Guess it is best to call her office and ask if your insurance is accepted.

Accepts Medicare

Dr. Marsha K. Guess accepts the following insurance:

  •  Ambetter
  •  Bright Health
  •  Medica

Call to see if your plan is accepted.
Locations
9548 Park Meadows Dr, Lone Tree, CO 80124
Other Locations
1635 Aurora Ct, Aurora, CO 80045
Background & Education
Graduate Institution
University Of California, Geffen School Of Medicine, 1997
Specialties
Obstetrics and Gynecology
Plastic Surgery
Licenses
Obstetrics & Gynecology in CT
Hospital Affiliations
Sky Ridge Medical Center
Parker Adventist Hospital
UCHealth Highlands Ranch Hospital
UCHealth University Of Colorado Hospital
UCHealth Memorial Hospital Central
Languages Spoken
English
Gender
Female
Clinical Research

Clinical research consists of overseeing clinical studies of patients undergoing new treatments and therapies, and publishing articles in peer reviewed medical journals. Doctors 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.


24 Total Publications

Foundational Science and Mechanistic Insights for a Shared Disease Model: An Expert Consensus.


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