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TrialFinderData is for informational purposes only and does not provide medical advice. Always talk to your doctor.

Urinary Tract Infection(UTI) Clinical Trials

4 recruiting trials for Urinary Tract Infection(UTI). Eligibility criteria explained in plain English.

Important: This information is not medical advice. Talk to your doctor about whether a clinical trial is right for you.
4
Total Trials
4
Recruiting Now
0
Phase 3 Trials
4
Sponsors

Recruiting Trials

Clinical trial data sourced from the ClinicalTrials.gov registry, maintained by the National Library of Medicine. Always consult your doctor before considering any clinical trial.

RECRUITINGNCT07246837

Diagnostic Stewardship Intervention to Reduce Inappropriate Antibiotic Use for Urinary Tract Infections in Primary Care

Urine culture is the most common microbiological test in the outpatient setting in the United States. Unfortunately, contamination during collection is prevalent and undermines...

Sponsor: Baylor College of MedicineEnrolling: 2521 location
RECRUITINGPhase 4NCT04095572

Alternative Prophylaxis in Female Recurrent Urinary Tract Infections

Urological pathogens are effected by rising antimicrobial resistance rates due to the frequent use of antimicrobials for treatment and prophylaxis. Intravesical instillation with...

Sponsor: University Hospital, Basel, SwitzerlandEnrolling: 502 locations
RECRUITINGNCT07233837

Hydrogen Peroxide and Ultraviolet Light for Disinfecting Surfaces in Intensive Care Units

Healthcare-associated infections (HAIs) remain a major problem in intensive care units (ICUs), driven by environmental contamination with multidrug-resistant organisms that...

Sponsor: Hospital Israelita Albert EinsteinEnrolling: 500012 locations
RECRUITINGNCT07542834

Using Virtual Reality to Improve Medical Training

As the U.S. population ages, future physicians must be prepared to care for older adults with multiple health conditions and complex needs. This study will test whether cinematic...

Sponsor: Ohio UniversityEnrolling: 1001 location

Frequently Asked Questions

There are currently 4 clinical trials for Urinary Tract Infection(UTI), with 4 actively recruiting participants. These include trials across all phases from early-stage Phase 1 to late-stage Phase 3.

To join a clinical trial for Urinary Tract Infection(UTI), review the eligibility criteria on the trial detail pages, then talk to your doctor about whether a trial is right for you. Your doctor can help you evaluate the potential benefits and risks.

Phase 3 trials are large-scale studies that test whether a treatment is effective and monitor side effects. There are 0 Phase 3 trials for Urinary Tract Infection(UTI), representing treatments closest to potential FDA approval.

Clinical trials follow strict safety protocols overseen by Institutional Review Boards (IRBs) and the FDA. Participants are monitored closely and can withdraw at any time. Always discuss risks and benefits with your healthcare provider before enrolling.

Sources: ClinicalTrials.gov, FDA
Last updated:

Trial data sourced from the ClinicalTrials.gov API. This site does not provide medical advice, always talk to your doctor about clinical trial participation.

For this entity, the underlying data on this page comes from the NIH ClinicalTrials.gov registry. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.

The methodology behind every numeric value on this page is publicly documented on the the NIH ClinicalTrials.gov registry portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.

Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within active and historical clinical trials. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.