Evidence map›Paper›PMID 33634849›Full record

ArticleInternational journal of cancer2021

Intrauterine device use and risk of ovarian cancer: Results from the New England Case-Control study and Nurses' Health Studies.

Jiaxi Yang, Naoko Sasamoto, Ana Babic, Allison F Vitonis, Mary K Townsend, Linda Titus, Daniel W Cramer, Shelley S Tworoger, Kathryn L Terry

Open access · greenAbstract read
In one paragraph

Article in International journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Jiaxi YangDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-4497-9615
Naoko SasamotoDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-4526-2181
Ana BabicDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA.
Allison F VitonisDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Mary K TownsendDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA.
Linda TitusPublic Health, Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA.
Daniel W CramerDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Shelley S TworogerDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-6986-7046
Kathryn L TerryDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Brigham and Women's Hospital · USHarvard University · USDana-Farber Cancer Institute · USMoffitt Cancer Center · USUniversity of Southern Maine · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Novel Serum, Plasma, and Urine Biomarkers of Ovarian CanP50CA105009 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2004 to 2010
$13.3M
OVARIAN CANCER RISK AND HYPERGONADOTROPIC HYPOGONADISMR01CA054419 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 1992 to 2007
$5.9M
NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA105009NCI NIH HHS R01 CA054419NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107U.S. National Cancer Institute P50-CA105009U.S. National Institute of Health P01 CA87969
6 · The paper itself

Abstract

Results of studies assessing intrauterine device (IUD) use and ovarian cancer risk are inconsistent. We examined the association between IUD use, including duration, type and timing of use, and ovarian cancer risk using three population-based studies. Data from the New England Case-Control Study (NEC) and two prospective cohort studies, the Nurses' Health Studies (NHS/NHSII), were included in the analysis. Information on IUD use was collected by in-person interview in NEC and by biennial questionnaire in NHS/NHSII. We used unconditional logistic regression to calculate odds ratios (OR) and 95% confidence intervals (CI) in NEC and Cox regression to calculate hazard ratios (HR) and 95% CI in NHS/NHSII. We used meta-analysis to combine the NEC and the pooled NHS/NHSII results. Overall, IUD use was not associated with epithelial ovarian cancer risk (OR = 0.96, 95% CI: 0.81-1.14 in NEC; HR = 0.89, 95% CI: 0.69-1.15 in NHS/NHSII; combined RR = 0.94, 95% CI: 0.81-1.08). Among IUD users, older age at first use was associated with increased ovarian cancer risk (P-trend = .03). We did not observe significant associations by IUD type or duration of use. In conclusion, IUD use was not associated with ovarian cancer risk in our study.

Indexed as

AdolescentAdultAgedAged, 80 and overCase-Control StudiesFemaleFollow-Up StudiesHumansIntrauterine DevicesMiddle AgedNew EnglandNursesOvarian NeoplasmsPrognosisProspective StudiesRisk Factorscancer preventionnonhormonal intrauterine device useovarian cancer risk

Identifiers

PMID33634849
PMCPMC8720374
OpenAlexW3130491573

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.