Evidence map›Paper›PMID 34244153›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2021

Common Analgesic Use for Menstrual Pain and Ovarian Cancer Risk.

Naoko Sasamoto, Ana Babic, Allison F Vitonis, Linda Titus, Daniel W Cramer, Britton Trabert, Shelley S Tworoger, Kathryn L Terry

Open access · bronzeAbstract readHistorical Article
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

8 authors at 5 institutions in 1 country.

Naoko SasamotoDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. nsasamoto@bwh.harvard.edu.ORCID 0000-0002-4526-2181
Ana BabicDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts.
Allison F VitonisDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Linda TitusPublic Health, Muskie School of Public Service, University of Southern Maine, Portland, Maine.ORCID 0000-0002-0599-3924
Daniel W CramerDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Britton TrabertDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.ORCID 0000-0002-1539-6090
Shelley S TworogerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID 0000-0002-6986-7046
Kathryn L TerryDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USHarvard University · USNational Cancer Institute · USUniversity of Southern Maine · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Therapeutic and Diagnostic Factors as Related to Cancer RiskZIACP010128 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$8.1M
Mucins and immune cell interactions in ovarian cancer pathogenesis & progressionR35CA197605 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2016 to 2022
$6.9M
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 R01 CA054419NCI NIH HHS R35 CA197605
6 · The paper itself

Abstract

Menstrual pain has been associated with increased ovarian cancer risk, presumably through increased inflammation, which is known to play a critical role in ovarian carcinogenesis. Analgesic medications are frequently used to treat menstrual pain, some of which lower ovarian cancer risk. In this study, we examined the association between analgesic use for menstrual pain during the premenopausal period and ovarian cancer risk among women with history of menstrual pain. We used data from the New England Case-Control Study, including 1,187 epithelial ovarian cancer cases and 1,225 population-based controls enrolled between 1998 and 2008 with detailed information on analgesic use for their menstrual pain. We used unconditional logistic regression to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for the association between analgesic use (i.e., aspirin, ibuprofen, acetaminophen) for menstrual pain and ovarian cancer risk. We further conducted a stratified analysis by intensity of menstrual pain (mild/moderate, severe). Among women with menstrual pain during their 20s and 30s, ever use of analgesics for menstrual pain was not significantly associated with ovarian cancer risk. However, among women with severe menstrual pain, ever use of aspirin or acetaminophen for menstrual pain was inversely associated with risk (OR, 0.41; 95% CI, 0.18-0.94 and OR, 0.43; 95% CI, 0.21-0.88 compared with never users, respectively). No significant association was observed between analgesic use and ovarian cancer risk among women with mild/moderate menstrual pain (

Indexed as

AdultAgedAge FactorsAnalgesicsAnti-Inflammatory Agents, Non-SteroidalCarcinoma, Ovarian EpithelialCase-Control StudiesContraceptives, OralDysmenorrheaFemaleHistory, 20th CenturyHistory, 21st CenturyHumansMiddle AgedNew EnglandOvarian NeoplasmsAnalgesicsAnti-Inflammatory Agents, Non-SteroidalContraceptives, Oral

Identifiers

PMID34244153
PMCPMC8344407
OpenAlexW3178821993

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.