The thickness and volume of LLETZ specimens can predict the relative risk of pregnancy-related morbidity
Khalid, S. ; Dimitriou, E. ; Conroy, R. ; Paraskevaides, E. ; Kyrgiou, M. ; Harrity, C. ; ; Prendiville, W.
Khalid, S.
Dimitriou, E.
Conroy, R.
Paraskevaides, E.
Kyrgiou, M.
Harrity, C.
Prendiville, W.
Citations
Altmetric:
Abstract
Objective
Description
Date
2012-05-15
Journal Title
Journal ISSN
Volume Title
Publisher
Chapter title
Publication type
Peer reviewed scientific article
Collections
Research Projects
Organizational Units
Journal Issue
Keywords
age, analysis, AS, association, at, Belgium, birth, Brussels, cancer, Case, cervix, CI, cit_Marbyn, complications, criteria, data, Design, effect, FNRS, health, hospital, HPV, Increase, Infant, Infants, Institute, Ireland, LLETZ, Logistic, logistic regression, Logistic-regression, M, measure, measures, method, methods, morbidity, Objective, obstetrical outcomes, outcome, Paper, physical, POPULATION, population health, Pregnancies, Pregnancy, PREHDICT, premature, public, public health, Public-health, RATES, regression, relative, Relative risk, report, result, results, risk, S, Science, Service, SMOKING, study, teaching, Term, time, treatment, treatment of CIN, UK, Universities, university, WHO, WOMEN
