Evidence map›Paper›PMID 29860330›Full record

ArticleJournal of the National Cancer Institute2019

Analgesic Use and Ovarian Cancer Risk: An Analysis in the Ovarian Cancer Cohort Consortium.

Britton Trabert, Elizabeth M Poole, Emily White, Kala Visvanathan, Hans-Olov Adami, Garnet L Anderson, Theodore M Brasky, Louise A Brinton, Renee T Fortner, Mia Gaudet and 22 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. A Multistate Survival Model to Identify Risk Factors for Lethal Ovarian Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Patterns of Associations with Epidemiologic Factors by High-Grade Serous Ovarian Cancer Gene Expression Subtypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  10. Article
  11. Article
  12. Global epidemiology of epithelial ovarian cancer.Nature reviews. Clinical oncology · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. The Oncobiome in Gastroenteric and Genitourinary Cancers.International journal of molecular sciences · 2022
    Review
  19. Cohort Profile: The Ovarian Cancer Cohort Consortium (OC3).International journal of epidemiology · 2022
    Article
  20. 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

32 authors.

Britton TrabertDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Elizabeth M PooleBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Emily WhiteCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA.
Kala VisvanathanJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Hans-Olov AdamiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Garnet L AndersonCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA.
Theodore M BraskyDivision of Cancer Prevention and Control, College of Medicine, The Ohio State University, Columbus, OH.
Louise A BrintonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Renee T FortnerDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Mia GaudetEpidemiology Research Program, American Cancer Society, Atlanta, GA.
Patricia HartgeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Judith Hoffman-BoltonJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Michael JonesDivision of Genetics and Epidemiology and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK.
James V LaceyCity of Hope, Duarte, CA.
Susanna C LarssonInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Gerardo G MackenzieDepartment of Nutrition, University of California Davis, Davis, CA.
Leo J SchoutenDepartment of Epidemiology, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands.
Dale P SandlerNational Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC.
Katie O'BrienNational Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC.
Alpa V PatelEpidemiology Research Program, American Cancer Society, Atlanta, GA.
Ulrike PetersCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA.
Anna PrizmentDivision of Epidemiology and Community Health, School of Public Health, and Masonic Cancer Center, University of Minnesota, Minneapolis, MN.
Kim RobienDepartment of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC.
V Wendy SetiawanUniversity of Southern California, Los Angeles, CA.
Anthony SwerdlowDivision of Genetics and Epidemiology and Division of Breast Cancer Research, The Institute of Cancer Research, London, UK.
Piet A van den Brandt
Elisabete WeiderpassDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Lynne R WilkensUniversity of Hawaii Cancer Center, Honolulu, HI.
Alicja WolkInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Shelley S TworogerDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA.
Ovarian Cancer Cohort Consortium (OC3)

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
PLCO Trial Etiologic and Early Marker StudyZIACP010152 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MOORE, STEVEN · 2009 to 2025
$29.9M
Environmental and Genetic Risk Factors For Breast Cancer: The Sister StudyZIAES044005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2009 to 2025
$22.7M
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
Understanding Ethnic Differences in Cancer: The Multiethnic Cohort StudyUM1CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HENDERSON, BRIAN E, LE MARCHAND, LOIC · 2012 to 2014
$11.3M
EPIDEMIOLOGY OF CANCER IN A COHORT OF OLDER WOMENR01CA039742 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LAZOVICH, DEANN · 1985 to 2014
$8.0M
Genetic and Environmental Risk Factors for Breast Cancer: The Sister StudyZ01ES044005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 1999 to 2008
$1.3M
Established Investigator Award Anti-Inflammatory Exposures in Cancer PreventionK05CA154337 · NCI · UNIVERSITY OF WASHINGTON · PI WHITE, EMILY · 2011 to 2015
$637k
Intramural NIH HHS Z01 ES044005NCI NIH HHS K05 CA154337NCI NIH HHS R01 CA039742NCI NIH HHS R01 CA067262NCI NIH HHS UM1 CA164973NIA NIH HHS HHSN271201100004CNIEHS NIH HHS Z01 ES044005WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

backgroundAspirin use is associated with reduced risk of several cancers. A pooled analysis of 12 case-control studies showed a 10% decrease in ovarian cancer risk with regular aspirin use, which was stronger for daily and low-dose users. To prospectively investigate associations of analgesic use with ovarian cancer, we analyzed data from 13 studies in the Ovarian Cancer Cohort Consortium (OC3).

methodsThe current study included 758 829 women who at study enrollment self-reported analgesic use, among whom 3514 developed ovarian cancer. Using Cox regression, we assessed associations between frequent medication use and risk of ovarian cancer. Dose and duration were also evaluated. All statistical tests were two-sided.

resultsWomen who used aspirin almost daily (≥6 days/wk) vs infrequent/nonuse experienced a 10% reduction in ovarian cancer risk (rate ratio [RR] = 0.90, 95% confidence interval [CI] = 0.82 to 1.00, P = .05). Frequent use (≥4 days/wk) of aspirin (RR = 0.95, 95% CI = 0.88 to 1.03), nonaspirin nonsteroidal anti-inflammatory drugs (NSAIDs; RR = 1.00, 95% CI = 0.90 to 1.11), or acetaminophen (RR = 1.05, 95% CI = 0.88 to 1.24) was not associated with risk. Daily acetaminophen use (RR = 1.28, 95% CI = 1.00 to 1.65, P = .05) was associated with elevated ovarian cancer risk. Risk estimates for frequent, long-term (10+ years) use of aspirin (RR = 1.15, 95% CI = 0.98 to 1.34) or nonaspirin NSAIDs (RR = 1.19, 95% CI = 0.84 to 1.68) were modestly elevated, although not statistically significantly so.

conclusionsThis large, prospective analysis suggests that women who use aspirin daily have a slightly lower risk of developing ovarian cancer (∼10% lower than infrequent/nonuse)-similar to the risk reduction observed in case-control analyses. The observed potential elevated risks for 10+ years of frequent aspirin and NSAID use require further study but could be due to confounding by medical indications for use or variation in drug dosing.

Indexed as

AnalgesicsAnti-Inflammatory Agents, Non-SteroidalAspirinEuropeFemaleFollow-Up StudiesHumansMiddle AgedOvarian NeoplasmsPrognosisProspective StudiesRisk AssessmentRisk FactorsUnited StatesAnalgesicsAnti-Inflammatory Agents, Non-SteroidalAspirin

Identifiers

PMID29860330
PMCPMC6376910

What OpenQuestion holds

Textmetadata
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.