We take what shifts this modifier is known to make and the shifts reported for a medical condition. There are many bacteria. We sum all of the shifts (some positive and some negative) to estimate a predictor. Some bacteria may have greater impact (that information is not available in 99% of studies) so the estimate can be wrong in edge cases.
This is according to the microbiome shifts reported in studies. Clinical studies may show different results
| Symptom | Impact | Predictor of Bacteria Shift |
|---|---|---|
| Ankylosing spondylitis | Improves | -2.43 |
| Bipolar Disorder | Improves | -2.43 |
| Chronic Fatigue Syndrome | Worsen | 3.08 |
| Colorectal Cancer | Improves | -2.43 |
| COVID-19 | Worsen | 2.43 |
| cystic fibrosis | Worsen | 2.43 |
| Histamine Issues | Worsen | 2.43 |
| Inflammatory Bowel Disease | Worsen | 2.43 |
| ME/CFS without IBS | Worsen | 3.08 |
| Multiple Sclerosis | Worsen | 3.08 |
| rheumatoid arthritis (RA),Spondyloarthritis (SpA) | Worsen | 0 |
| Ulcerative colitis | Improves | -2.43 |
We extend modifiers to include items that changes the parent and child taxa. I.e. for a species, that would be the genus that is belongs to and the strains in the species.