Logistic regression for preterm birth per grade of CIN and volume taken from the cervix before each childbirth.
a With adjustment for age at childbirth, year of childbirth, urbanization, severity of cervical disease, volume taken from cervix, 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 value of... Mehr ...
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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-29019015 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1371/journal.pmed.1003665.s005 |