Salpingectomy for ectopic pregnancy reduces ovarian cancer risk-a nation-wide study.

National Health Insurance Research Database ectopic pregnancy fallopian tube opportunistic salpingectomy ovarian cancer

Journal

JNCI cancer spectrum
ISSN: 2515-5091
Titre abrégé: JNCI Cancer Spectr
Pays: England
ID NLM: 101721827

Informations de publication

Date de publication:
08 Apr 2024
Historique:
received: 29 12 2023
revised: 20 02 2024
accepted: 25 03 2024
medline: 8 4 2024
pubmed: 8 4 2024
entrez: 8 4 2024
Statut: aheadofprint

Résumé

Recent studies propose fallopian tubes as the tissue origin for many ovarian epithelial cancers. To further support this paradigm, we assessed whether salpingectomy for treating ectopic pregnancy had a protective effect using the Taiwan Longitudinal National-Health-Research Database. We identified 316,882 women with surgical treatment for ectopic pregnancy and 3,168,820 age- and index-date-matched controls from 2000-2016. In a nested cohort, 91.5% of cases underwent unilateral salpingectomy, suggesting that most surgically managed patients have salpingectomy. Over a follow-up period of 17 years, the ovarian carcinoma incidence was 0.0069 (95%CI : 0.0060-0.0079) and 0.0089 (95%CI : 0.0086-0.0092) in the ectopic pregnancy and the control groups, respectively (p < .001). After adjusting the events to per 100-person years, the hazard ratio in the ectopic pregnancy group was 0.70 (95%CI : 0.61-0.80). The risk reduction occurred only in epithelial ovarian cancer (HR : 0.73, CI : 0.63-0.86) and not in non-epithelial subtypes. These findings show a decrease in ovarian carcinoma incidence following salpingectomy for treating ectopic pregnancy.

Identifiants

pubmed: 38588567
pii: 7642407
doi: 10.1093/jncics/pkae027
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press.

Auteurs

Ju-Chuan Yen (JC)

Department of Ophthalmology, Taipei Ren-Ai Branch, and Department of Education and Research, Taipei City Hospital, Taipei, Taiwan.
Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.

Tzu-I Wu (TI)

Department of Obstetrics and Gynecology, Wan Fang Hospital, Taipei Medical University, Cancer Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Department of Obstetrics and Gynecology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

Rebecca Stone (R)

Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Tian-Li Wang (TL)

Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sidney Kimmel Comprehensive Cancer Center, the Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.

Kala Visvanathan (K)

Sidney Kimmel Comprehensive Cancer Center, the Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.

Li-Ying Chen (LY)

Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan.

Min-Huei Hsu (MH)

Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan.

Ie-Ming Shih (IM)

Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sidney Kimmel Comprehensive Cancer Center, the Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.

Classifications MeSH