MV140 sublingual vaccine reduces recurrent urinary tract infection in women
Bibliographic record
Abstract
INTRODUCTION: This is the first North American clinical evidence for MV140, a novel bacterial sublingual vaccine, developed for prevention of recurrent urinary tract infection (UTI) in women. METHODS: Female subjects with ≥3 documented UTIs/year underwent three-month vaccination treatment, nine-month efficacy period, and optional three-month followup (total 15 months). Primary outcome was no clinically diagnosed UTI following vaccination (UTI-free rate). Secondary outcomes included absolute, mean, and median overall reduction in UTI compared to pre-vaccination, quality of life, global response assessment, patient satisfaction, microbiology, and safety. RESULTS: Sixty-seven subjects (mean age 56 years, range 18-80) were enrolled; 64 completed the vaccination period and at least one post-vaccination assessment. Prior to vaccination, subjects reported a mean 6.8 UTIs/year. The UTI-free rate for the nine-month efficacy period was 40.6%. Compared to the infection rate in the year prior to vaccination, the reduction was 75.3% for the nine-month efficacy period post-vaccination. At 12-month followup, 80.3% reported that they were moderately/markedly improved; 58.1% were mostly satisfied, pleased, or delighted, while mean quality of life score improved by 1.5 points. Fourteen of the adverse events in nine subjects were potentially related to the vaccine - all mild and resolved by three months. None of the 13 serious adverse events were related to vaccine. CONCLUSIONS: This first-in-North-America, prospective case series with the sublingual vaccine, MV140, adds further clinical evidence to its safety and effectiveness in reducing recurrent UTIs in women.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".