Literature DB >> 9141580

The diagnostic accuracy of cervico-vaginal fetal fibronectin in predicting preterm delivery: an overview.

P F Chien1, K S Khan, S Ogston, P Owen.   

Abstract

OBJECTIVE: To determine the accuracy with which cervico-vaginal fetal fibronectin predicts preterm delivery using systematic quantitative overview of the available literature.
DESIGN: Online searching of MEDLINE database (1966 to April 1996), scanning of bibliography of known primary and review articles and review of recent journal issues. Study selection, assessment of study quality and data extraction were performed in duplicate under masked conditions. Likelihood ratios were generated in subgroups of symptomatic and asymptomatic pregnant women by pooling data from different studies. An LR of > 10 or < 0.1 indicated conclusive changes in the pretest probability of preterm delivery while an LR of 5-10 or 0.2-0.1 indicated only moderate changes. PARTICIPANTS: Seven hundred and twenty-three symptomatic women with threatened preterm labour included in nine studies and 847 asymptomatic women (635 low risk and 212 high risk) included in six studies selected for meta-analyses. MAIN OUTCOME MEASURES: Likelihood ratios for positive and negative test results using delivery at < 37 and < 34 weeks of gestation, and within one week of testing as outcome measures.
RESULTS: In symptomatic women a positive test predicted delivery < 37 weeks of gestation with a pooled likelihood ratio (LR) of 4.6 (95% CI 3.5-6.1) while a negative test had a pooled LR of 0.5 (95% CI 0.4-0.6). For delivery < 34 weeks of gestation, the pooled LR was 2.6 (95% CI 1.8-3.7) for a positive test and 0.2 (95% CI 0.1-0.5) for a negative test. For delivery within one week of testing, the pooled LR was 5.0 (95% CI 3.8-6.4) for a positive test and 0.2 (95% CI 0.1-0.4) for a negative test. In asymptomatic women at low risk of delivery < 37 weeks of gestation the pooled LR was 3.2 (95% CI 2.2-4.8) for a positive test and 0.8 (95% CI 0.7-0.9) for a negative test. In high risk asymptomatic women using delivery < 37 weeks of gestation as an outcome measure the pooled LR was 2.0 (95% CI 1.5-2.6) for a positive test and 0.4 (95% CI 0.2-0.8) for a negative test. For delivery < 34 weeks of gestation in high risk, asymptomatic women the pooled LR was 2.4 (95% CI 1.8-3.2) for a positive test and 0.6 (95% CI 0.4-0.9) for a negative test.
CONCLUSION: The presence of fetal fibronectin in cervico-vaginal mucus has limited accuracy in predicting preterm delivery as the likelihood ratios for positive and negative test results generated only minimal to moderate changes in the pretest probability of preterm birth.

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Year:  1997        PMID: 9141580     DOI: 10.1111/j.1471-0528.1997.tb11495.x

Source DB:  PubMed          Journal:  Br J Obstet Gynaecol        ISSN: 0306-5456


  5 in total

Review 1.  Accuracy of cervicovaginal fetal fibronectin test in predicting risk of spontaneous preterm birth: systematic review.

Authors:  Honest Honest; Lucas M Bachmann; Janesh K Gupta; Jos Kleijnen; Khalid S Khan
Journal:  BMJ       Date:  2002-08-10

2.  Practices for predicting and preventing preterm birth in Ireland: a national survey.

Authors:  V Smith; D Devane; S Higgins
Journal:  Ir J Med Sci       Date:  2010-10-17       Impact factor: 1.568

Review 3.  Cervicovaginal fetal fibronectin for the prediction of spontaneous preterm birth in multiple pregnancies: a systematic review and meta-analysis.

Authors:  Agustín Conde-Agudelo; Roberto Romero
Journal:  J Matern Fetal Neonatal Med       Date:  2010-12

4.  The amniotic fluid proteome predicts imminent preterm delivery in asymptomatic women with a short cervix.

Authors:  Dereje W Gudicha; Roberto Romero; Nardhy Gomez-Lopez; Jose Galaz; Gaurav Bhatti; Bogdan Done; Eunjung Jung; Dahiana M Gallo; Mariachiara Bosco; Manaphat Suksai; Ramiro Diaz-Primera; Piya Chaemsaithong; Francesca Gotsch; Stanley M Berry; Tinnakorn Chaiworapongsa; Adi L Tarca
Journal:  Sci Rep       Date:  2022-07-11       Impact factor: 4.996

5.  Effects of air pollution on neonatal prematurity in Guangzhou of China: a time-series study.

Authors:  Qingguo Zhao; Zhijiang Liang; Shijuan Tao; Juan Zhu; Yukai Du
Journal:  Environ Health       Date:  2011-01-10       Impact factor: 5.984

  5 in total

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