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Inflammatory Bowel Disease (IBD)

IBD is characterized by chronic inflammation of the gastrointestinal tract. It covers two conditions: Crohn’s disease and ulcerative colitis (UC).

Our evidence-based analysis on inflammatory bowel disease (ibd) features 1 unique references to scientific papers.

Research analysis led by and reviewed by the Examine team.
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Summary of Inflammatory Bowel Disease (IBD)

Inflammatory bowel disease (IBD) refers to a group of chronic inflammatory conditions that affect the gastrointestinal tract. The two most common types of IBD are Crohn’s disease, which can impact any portion of the digestive system from mouth to anus, and ulcerative colitis, which is restricted to the colon and rectum. Up to 0.5% of the Western world[1] is estimated to suffer from IBD and associated medical costs may exceed $6 billion annually.

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Human Effect Matrix

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The Human Effect Matrix looks at human studies to tell you what supplements affect Inflammatory Bowel Disease (IBD).

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Grade Level of Evidence
Robust research conducted with repeated double-blind clinical trials
Multiple studies where at least two are double-blind and placebo controlled
Single double-blind study or multiple cohort studies
Uncontrolled or observational studies only
Level of Evidence
? The amount of high quality evidence. The more evidence, the more we can trust the results.
Supplement Magnitude of effect
? The direction and size of the supplement's impact on each outcome. Some supplements can have an increasing effect, others have a decreasing effect, and others have no effect.
Consistency of research results
? Scientific research does not always agree. HIGH or VERY HIGH means that most of the scientific research agrees.
Notes
grade-d
Minor
Very High See 2 studies
In small, open-label, uncontrolled studies, most participants with IBD experienced reductions in disease activity, but it did worsen in some cases. A single sub-study of gene expression identified some changes that could indicate elevations in regulatory T-cell activity. Our confidence in these results is very low due to the lack of control groups, small sample sizes, lack of blinding, and high risk of bias in these studies.

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