Trial reportScientific reports2016
Predictive value of the composition of the vaginal microbiota in bacterial vaginosis, a dynamic study to identify recurrence-related flora.
Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 49 citations in OpenAlex.
- Orally administratedFrontiers in immunology · 2023Trial
- Non-Sexually Transmitted Infection (STI)-Related Pelvic Inflammatory Disease (PID).Microorganisms · 2025Review
- Cervicovaginal Microbiome: Physiology, Age-Related Changes, and Protective Role Against Human Papillomavirus Infection.Journal of clinical medicine · 2025Review
- Single-Molecule Approach to 16S rRNA for Vaginal Microbiome Signatures in Response to Metronidazole Treatment.Microbiology spectrum · 2023Article
- Dietary acid load, alternative healthy eating index score, and bacterial vaginosis: is there any association? A case-control study.BMC infectious diseases · 2022Article
- Association between dietary patterns and bacterial vaginosis: a case-control study.Scientific reports · 2022Article
- Log (Bioengineered · 2022Article
- Comparison Analysis of Different DNA Extraction Methods on Suitability for Long-Read Metagenomic Nanopore Sequencing.Frontiers in cellular and infection microbiology · 2022Article
- Correlation Analysis of Vaginal Microbiome Changes and Bacterial Vaginosis Plus Vulvovaginal Candidiasis Mixed Vaginitis Prognosis.Frontiers in cellular and infection microbiology · 2022Article
- Effect of metronidazole on vaginal microbiota associated with asymptomatic bacterial vaginosis.Access microbiology · 2021Article
- Article
- Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis.Nature communications · 2020Article
- Vaginal microbiota evaluation and prevalence of key pathogens in ecuadorian women: an epidemiologic analysis.Scientific reports · 2020Article
- Influence of the Ovine Genital Tract Microbiota on the Species Artificial Insemination Outcome. A Pilot Study in Commercial Sheep Farms.High-throughput · 2020Article
- Recovery of Vaginal Microbiota After Standard Treatment for Bacterial Vaginosis Infection: An Observational Study.Microorganisms · 2020Article
- Comparison of vaginal microbiota in gynecologic cancer patients pre- and post-radiation therapy and healthy women.Cancer medicine · 2020Article
- Crosstalk Between Female Gonadal Hormones and Vaginal Microbiota Across Various Phases of Women's Gynecological Lifecycle.Frontiers in microbiology · 2020Article
- Unveiling the role of Gardnerella vaginalis in polymicrobial Bacterial Vaginosis biofilms: the impact of other vaginal pathogens living as neighbors.The ISME journal · 2019Article
- Evaluation of Methods for the Extraction of Microbial DNA From Vaginal Swabs Used for Microbiome Studies.Frontiers in cellular and infection microbiology · 2019Article
- Association Analysis on Recurrence of Bacterial Vaginosis Revealed Microbes and Clinical Variables Important for Treatment Outcome.Frontiers in cellular and infection microbiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial vaginosis (BV) is a highly prevalent disease in women, and increases the risk of pelvic inflammatory disease. It has been given wide attention because of the high recurrence rate. Traditional diagnostic methods based on microscope providing limited information on the vaginal microbiota increase the difficulty in tracing the development of the disease in bacteria resistance condition. In this study, we used deep-sequencing technology to observe dynamic variation of the vaginal microbiota at three major time points during treatment, at D0 (before treatment), D7 (stop using the antibiotics) and D30 (the 30-day follow-up visit). Sixty-five patients with BV were enrolled (48 were cured and 17 were not cured), and their bacterial composition of the vaginal microbiota was compared. Interestingly, we identified 9 patients might be recurrence. We also introduced a new measurement point of D7, although its microbiota were significantly inhabited by antibiotic and hard to be observed by traditional method. The vaginal microbiota in deep-sequencing-view present a strong correlation to the final outcome. Thus, coupled with detailed individual bioinformatics analysis and deep-sequencing technology, we may illustrate a more accurate map of vaginal microbial to BV patients, which provide a new opportunity to reduce the rate of recurrence of BV.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.