Blar i NTNU Open på forfatter "Torkildsen, Cecilie Fredvik"

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    • Elective induction of labor: A prospective observational study 

      Dögl, Malin Andrea Elisabeth; Romundstad, Pål Richard; Berntzen, Line Dahlgaard; Fremgaarden, Oliv Camilla; Kirial, Katrine; Kjøllesdal, Anne M; Nygaard, Benedicte Sandhaug; Robberstad, Line; Steen, Thorbjørn; Tappert, Christian; Torkildsen, Cecilie Fredvik; Værnesbranden, Caren Magdalena Rydland; Vietheer, Alexander; Heimstad, Runa Kristine (Journal article; Peer reviewed, 2018)
      The aim of the present study was to assess indications for induction and describe the characteristics and delivery outcome in medical compared to non-medical/elective inductions. During a three-month period, 1663 term ...

    • Perinatal Depression and Anxiety in Women with Multiple Sclerosis: A Population-Based Cohort Study 

      Eid, Karine; Torkildsen, Øivind Fredvik Grytten; Aarseth, Jan Harald; Flemmen, Heidi Øyen; Holmøy, Trygve; Lorentzen, Åslaug Rudjord; Myhr, Kjell-Morten; Riise, Trond; Simonsen, Cecilia Smith; Torkildsen, Cecilie Fredvik; Wergeland, Stig; Willumsen, Johannes Sverre; Øksendal, Nina; Gilhus, Nils Erik; Bjørk, Marte-Helene (Journal article; Peer reviewed, 2021)
      Objective: To assess the occurrence of perinatal depression and anxiety in women before and after diagnosis of multiple sclerosis (MS). Methods: 114,629 pregnant women were included in the Norwegian Mother, Father and Child ...

    • Primary Treatment Effects for High-Grade Serous Ovarian Carcinoma Evaluated by Changes in Serum Metabolites and Lipoproteins 

      Torkildsen, Cecilie Fredvik; Austdal, Marie; Iversen, Ann-Charlotte; Bathen, Tone Frost; Giskeødegård, Guro F.; Nilsen, Elisabeth Berge; Iversen, Grete Alræk; Sande, Ragnar; Bjørge, Line; Thomsen, Liv Cecilie Vestrheim (Peer reviewed; Journal article, 2023)
      High-grade serous ovarian carcinoma (HGSOC) is the most common and deadliest ovarian cancer subtype. Despite advances in treatment, the overall prognosis remains poor. Regardless of efforts to develop biomarkers to predict ...