Logistic regression for preterm birth per volume taken from the cervix before each childbirth.

a With adjustment for age at childbirth, year of childbirth, urbanization, severity of cervical disease (normal, CIN1, CIN2, or ≥CIN3), ethnicity, diabetes mellitus, maternal infection, epilepsy, psychiatric diseases, history of abortion, history of preterm birth, pregnancy by IVF, nulliparous women, pre-eclampsia, gestational diabetes, placental abruption, placenta or vasa previa, congenital diseases, intrauterine growth restriction, macrosomia, stillbirth, and fetal distress. b Women with induction of labor were excluded from analysis. c To adjust for multiple testing, we considered a P valu... Mehr ...

Verfasser: Diede L. Loopik (10925161)
Joris van Drongelen (658270)
Ruud L. M. Bekkers (10925163)
Quirinus J. M. Voorham (10925165)
Willem J. G. Melchers (7299947)
Leon F. A. G. Massuger (6669074)
Folkert J. van Kemenade (6984113)
Albert G. Siebers (5892767)
Dokumenttyp: Text
Erscheinungsdatum: 2021
Schlagwörter: Medicine / Cell Biology / Physiology / Pharmacology / Biotechnology / Evolutionary Biology / Developmental Biology / Cancer / Infectious Diseases / Computational Biology / Mathematical Sciences not elsewhere classified / Adjusted odds ratios / OR / control group / odds 2.07 times / Dutch pathology registry / excisional treatment / Dutch population-based cohort study / Dutch perinatal database / PALGA / preterm birth / CIN group
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-26662252
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1371/journal.pmed.1003665.s004