Proteomic signature of periodontal disease in pregnancy: Predictive validity for adverse outcomes

Autor: Linda Phi, Muniza Siddiqui, Manisha Ramchandani, Luca Giacomelli, Manwinder Lakha, Francesco Chiappelli, Raveena Kanwar
Rok vydání: 2011
Předmět:
Predictive validity
medicine.medical_specialty
media_common.quotation_subject
CINAHL
Reproductive health and childbirth
Cochrane Library
Bioinformatics
Low Birth Weight and Health of the Newborn
Oral and gastrointestinal
systematic review
clinically relevant complex systematic review
Infant Mortality
medicine
Dental/Oral and Craniofacial Disease
Intensive care medicine
media_common
Selection bias
Pediatric
Pregnancy
business.industry
pregnancy complications
Prevention
proteomic signature of periodontal disease
General Medicine
Perinatal Period - Conditions Originating in Perinatal Period
medicine.disease
meta-analysis
Low birth weight
Systematic review
Infectious Diseases
Prediction Model
Meta-analysis
clinically relevant complex systematic review (CSCSR)
pregnancy
Biochemistry and Cell Biology
medicine.symptom
business
adverse pregnancy outcome
preterm
Zdroj: Bioinformation, vol 5, iss 7
Bioinformation
Popis: The rate of preterm birth is a public health concern worldwide because it is increasing and efforts to prevent it have failed. We report a Clinically Relevant Complex Systematic Review (CSCSR) designed to identify and evaluate the best available evidence in support of the association between periodontal status in women and pregnancy outcome of preterm low birth weight. We hypothesize that the traditional limits of research synthesis must be expanded to incorporate a translational component. As a proof-of-concept model, we propose that this CSCSR can yield greater validity of efficacy and effectiveness through supplementing its recommendations with data of the proteomic signature of periodontal disease in pregnancy, which can contribute to addressing specifically the predictive validity for adverse outcomes. For this CRCSR, systematic reviews were identified through The National Library of MedicinePubmed, The Cochrane library, CINAHL, Google Scholar, Web of Science, and the American Dental Association web library. Independent reviewers quantified the relevance and quality of this literature with R-AMSTAR. Homogeneity and inter-rater reliability testing were supplemented with acceptable sampling analysis. Research synthesis outcomes were analyzed qualitatively toward a Bayesian inference, and converge to demonstrate a definite association between maternal periodontal disease and pregnancy outcome. This CRCSR limits heterogeneity in terms of periodontal disease, outcome measure, selection bias, uncontrolled confounders and effect modifiers. Taken together, the translational CRCSR model we propose suggests that further research is advocated to explore the fundamental mechanisms underlying this association, from a molecular and proteomic perspective.
Databáze: OpenAIRE