ArticleEpidemiology and infection2007
Vaginal symptoms and bacterial vaginosis (BV): how useful is self-report? Development of a screening tool for predicting BV status.
Article in Epidemiology and infection, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Self-reported urinary tract infection and bacterial vaginosis symptoms among indigenous adolescents during seasonal periods of water scarcity: A cross-sectional study in Bandarban Hill District of Bangladesh.Health science reports · 2024Article
- Article
- Bacterial vaginosis: a review of approaches to treatment and prevention.Frontiers in reproductive health · 2023Review
- A Syndemic Approach to Explore Factors Associated with Bacterial Vaginosis.AIDS and behavior · 2022Article
- The Microbial Mother Meets the Independent Organ: Cultural Discourses of Reproductive Microbiomes.The Journal of medical humanities · 2019Article
- Serum 25-Hydroxyvitamin D and Risk of Self-Reported Bacterial Vaginosis in a Prospective Cohort Study of Young African American Women.Journal of women's health (2002) · 2018Article
- Cigarette smoking is associated with an altered vaginal tract metabolomic profile.Scientific reports · 2018Article
- Self-reported bacterial vaginosis and risk of ultrasound-diagnosed incident uterine fibroid cases in a prospective cohort study of young African American women.Annals of epidemiology · 2017Article
- Syndromic Diagnosis in Evaluation of Women with Symptoms of Vaginitis.Current infectious disease reports · 2017Review
- Ureaplasma parvum genotype, combined vaginal colonisation with Candida albicans, and spontaneous preterm birth in an Australian cohort of pregnant women.BMC pregnancy and childbirth · 2016Article
- Prevalence of bacterial vaginosis among pregnant women attending antenatal care in Tikur Anbessa University Hospital, Addis Ababa, Ethiopia.BMC research notes · 2014Article
- Association between cigarette smoking and the vaginal microbiota: a pilot study.BMC infectious diseases · 2014Article
- Relationship of selected bacterial vaginosis-associated bacteria to Nugent score bacterial vaginosis among urban women early in pregnancy.Sexually transmitted diseases · 2013Article
- Tobacco use increases susceptibility to bacterial infection.Tobacco induced diseases · 2008Article
- Bacterial vaginosis in association with spontaneous abortion and recurrent pregnancy losses.Journal of cytologyArticle
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vaginal complaints compel an evaluation of bacterial vaginosis (BV), however, many cases of BV are asymptomatic. We evaluated the sensitivity and specificity of vaginal symptoms in the diagnosis of BV and examined the utility of creating a BV screening tool using clinical, behavioural and demographic characteristics. A total of 1916 pregnant women were included in this analysis. In total, 757 women screened positive for BV and over one third of BV-positive women presented without any lower genital tract symptoms (39.4%). African American race, abnormal vaginal odour, and smoking were independently related to BV positivity. A BV screening tool including these three factors was fairly predictive of BV status with the area under the ROC curve equal to 0.669. This three-item prediction rule may be useful in identifying high- risk pregnant women in need of BV screening and, given the high specificity, accurately identify the group of BV-negative pregnant women.
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What OpenQuestion holds
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.