Literature DB >> 15104603

The accuracy of various tests for bacterial vaginosis in predicting preterm birth: a systematic review.

Honest Honest1, Lucas M Bachmann, Ellen M Knox, Janesh K Gupta, Jos Kleijnen, Khalid S Khan.   

Abstract

OBJECTIVE: To determine the accuracy with which various types of tests for bacterial vaginosis predict spontaneous preterm birth in pregnant women. DATA SOURCES: Studies were identified without language restrictions through nine different databases, and manual searching of bibliographies of known primary and review articles. STUDY SELECTION AND DATA EXTRACTION: There are four different bacterial vaginosis testing methods: Gram staining tests using either Nugent's or Spiegel's criteria, and gas liquid chromatography are laboratory based, and the fourth method uses clinical (Amsel's) criteria to diagnose bacterial vaginosis. Two reviewers independently selected studies and extracted data on their characteristics, quality and accuracy. Accuracy data were used to form 2 x 2 contingency tables of the bacterial vaginosis test results with spontaneous preterm birth as the reference standard. DATA SYNTHESIS: Data on asymptomatic women and women with symptoms of threatened preterm labour were analysed separately. Data were pooled to produce summary estimates of likelihood ratios for positive (LR+) and negative (LR-) test results for the various types of tests.
RESULTS: There were 18 primary articles, involving altogether 17,868 women. There was unexplained heterogeneity in the meta-analyses of the accuracy results, which requires caution in their interpretation. Meta-analyses of studies testing asymptomatic women in the second trimester showed that clinical criteria had a LR+ of 0.98 (95% confidence interval 0.59 to 1.6) and a LR- of 1.00 (0.93 to 1.1), Gram staining (Nugent's criteria) had a LR+ of 1.6 (1.4 to 1.9) and a LR- of 0.9 (0.8 to 0.9), and Gram staining (Spiegel's criteria) had a LR+ of 2.4 (1.4 to 4.9) and a LR- of 0.81 (0.64 to 1.0). Among symptomatic women, Gram staining (Spiegel's criteria) had a LR+ of 1.3 (1.0 to 1.6) and LR- of 0.9 (0.7 to 1.0).
CONCLUSION: There was a lack of difference in the accuracy of the various bacterial vaginosis tests for predicting preterm birth in both asymptomatic and symptomatic women of threatened preterm labour.

Entities:  

Mesh:

Year:  2004        PMID: 15104603     DOI: 10.1111/j.1471-0528.2004.00124.x

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  5 in total

1.  Does screening reduce preterm births?

Authors:  Anna Alanen
Journal:  BMJ       Date:  2004-08-14

2.  Risk factors for bacterial vaginosis: results from a cross-sectional study having a sample of 53,652 women.

Authors:  X-D Li; C-C Wang; X-J Zhang; G-P Gao; F Tong; X Li; S Hou; L Sun; Y-H Sun
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-04-23       Impact factor: 3.267

3.  Alteration in vaginal microflora, douching prior to pregnancy, and preterm birth.

Authors:  John M Thorp; Nancy Dole; Amy H Herring; Thaddeus L McDonald; Barbara Eucker; David A Savitz; Diane Kaczor
Journal:  Paediatr Perinat Epidemiol       Date:  2008-11       Impact factor: 3.980

4.  A protocol to identify non-classical risk factors for preterm births: the Brazilian Ribeirão Preto and São Luís prenatal cohort (BRISA).

Authors:  Antônio Augusto Moura da Silva; Vanda Maria Ferreira Simões; Marco Antonio Barbieri; Viviane Cunha Cardoso; Claudia Maria Coelho Alves; Erika Bárbara Abreu Fonseca Thomaz; Rejane Christine de Sousa Queiroz; Ricardo Carvalho Cavalli; Rosângela Fernandes Lucena Batista; Heloísa Bettiol
Journal:  Reprod Health       Date:  2014-11-19       Impact factor: 3.223

5.  Basic vaginal pH, bacterial vaginosis and aerobic vaginitis: prevalence in early pregnancy and risk of spontaneous preterm delivery, a prospective study in a low socioeconomic and multiethnic South American population.

Authors:  Leticia Krauss-Silva; Antonio Almada-Horta; Mariane B Alves; Karla G Camacho; Maria Elizabeth L Moreira; Alcione Braga
Journal:  BMC Pregnancy Childbirth       Date:  2014-03-19       Impact factor: 3.007

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.