Trial reportBMC cancer2016
Risk of uterine, ovarian and breast cancer following pelvic inflammatory disease: a nationwide population-based retrospective cohort study.
Trial report in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Association between pelvic inflammatory disease and risk of ovarian, uterine, cervical, and vaginal cancers-a meta-analysis.Archives of gynecology and obstetrics · 2024Pooled it
- Pelvic inflammatory disease and the risk of ovarian cancer: a meta-analysis.Cancer causes & control : CCC · 2017Pooled it
- Circulating biomarkers of infection and endometrial cancer risk.Cancer causes & control : CCC · 2025Article
- Ovarian Cancer and the Microbiome: Connecting the Dots for Early Diagnosis and Therapeutic Innovations-A Review.Medicina (Kaunas, Lithuania) · 2024Review
- Interaction of reproductive tract infections with estrogen exposure on breast cancer risk and prognosis.BMC women's health · 2023Article
- The Risk of Endometrial Cancer and Uterine Sarcoma Following Endometriosis or Pelvic Inflammatory Disease.Cancers · 2023Article
- Different Influences of Endometriosis and Pelvic Inflammatory Disease on the Occurrence of Ovarian Cancer.International journal of environmental research and public health · 2021Article
- Association of pelvic inflammatory disease (PID) with ovarian cancer: a nationwide population-based retrospective cohort study from Taiwan.BMC women's health · 2021Article
- Subsequent Development of Epithelial Ovarian Cancer After Ovarian Surgery for Benign Ovarian Tumor: A Population-Based Cohort Study.Clinical epidemiology · 2020Article
- Infection as a potential cofactor in the genetic-epigenetic pathophysiology of endometriosis: a systematic review.Facts, views & vision in ObGyn · 2019Review
- The Risk of Gynecologic and Urinary Tract Cancer with Pelvic Inflammatory Disease: A Population-Based Cohort Study.Journal of Cancer · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPelvic inflammatory disease (PID) is characterized by infection and inflammation of the upper genital tract in women and is associated with health sequelae. We used a nationwide population-based retrospective cohort study to explore the relationship between PID and the subsequent development of gynecological cancers including ovarian, breast or uterine cancer.
methodsWe identified subjects diagnosed with PID between January 1
resultsThe PID cohort consisted of 32,268 patients, and an equal number of matched controls without PID. The adjusted hazard ratio (HR) of ovarian, breast or uterine cancer in subjects with PID were: HR 1.326 (95 % confidence interval: 0.775-2.269), HR: 1.039 (95 % confidence interval: 0.862-1.252), and HR: 1.439 (95 % confidence interval: 0.853-2.426) respectively in comparison with controls during follow-up.
conclusionsThis large nationwide population-based cohort study suggests that there is no increased risk for ovarian, breast or uterine cancer among women who have PID compared to a matching population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.