Therapeutic effect of cranberry active components on E.coli urinary tract adhesions: A review
Bibliographic record
Abstract
Cranberry (Vaccinium spp.) has been used by North American Indians to treat many medicinal properties. It is also recommended for the treatment of urinary tract infection (UTI) which is caused by adhesion of bacteria called Escherichia coli. We conducted this meta-analysis to assess the effect of cranberry in preventing the adhesion of E. coli in the urinary tract. Cranberry appears to work by inhibiting the adhesion of type I and P-fimbriated Escherichia coli to the uroepithelium, thus hinder the colonization and upcoming infections. Adhesion is prevented by 2 ingredients of cranberries: laevulose that prevents binding of type 1 fimbriae and pro-anthocyanidins, which prevents p- fimbriae binding. The anti-adherent effect began in 2 hours and remains for up to 10 hours after consumption. These results suggest that cranberry can be an effective in preventing and treating urinary tract infections; however, larger high-quality studies are needed to confirm these findings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".