Evidence map›Paper›PMID 30286239›Full record

ArticleJAMA oncology2018

Association of Analgesic Use With Risk of Ovarian Cancer in the Nurses' Health Studies.

Mollie E Barnard, Elizabeth M Poole, Gary C Curhan, A Heather Eliassen, Bernard A Rosner, Kathryn L Terry, Shelley S Tworoger

Open access · bronzeAbstract read
In one paragraph

Article in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. miRNA-Based Technologies in Cancer Therapy.Journal of personalized medicine · 2023
    Review
  12. Prevention of Epithelial Ovarian Cancer.Cold Spring Harbor perspectives in medicine · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. NSAIDs and Cancer Resolution: New Paradigms beyond Cyclooxygenase.International journal of molecular sciences · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Mollie E BarnardDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Elizabeth M PooleChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Gary C CurhanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
A Heather EliassenDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Bernard A RosnerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Kathryn L TerryDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Shelley S TworogerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Brigham and Women's Hospital · USHarvard University · 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
Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Inflammation and gynecologic cancer: the role of prostaglandins in ovarian cancerK00CA212222 · NCI · UNIVERSITY OF UTAH · PI BARNARD, MOLLIE ELYSE · 2018 to 2021
$415k
Inflammation and gynecologic cancer: the role of prostaglandins in ovarian cancerF99CA212222 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNARD, MOLLIE ELYSE · 2016 to 2017
$64k
NCI NIH HHS F99 CA212222NCI NIH HHS K00 CA212222NCI NIH HHS P01 CA087969NCI NIH HHS T32 CA009001NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

Importance: Ovarian cancer is a highly fatal malignant neoplasm with few modifiable risk factors. Case-control studies have reported a modest reduced risk of ovarian cancer among women who frequently use aspirin or regularly use low-dose aspirin. Objective: To evaluate whether regular aspirin or nonaspirin nonsteroidal anti-inflammatory drug (NSAID) use and patterns of use are associated with lower ovarian cancer risk. Design, Setting, and Participants: This cohort study analyzed NSAID use and ovarian cancer diagnosis data from 2 prospective cohorts, 93 664 women in the Nurses' Health Study (NHS), who were followed up from 1980 to 2014, and 111 834 in the Nurses' Health Study II (NHSII), who were followed up from 1989 to 2015. Follow-up was completed on June 30, 2014, for the NHS and June 30, 2015, for NHSII. Data were analyzed from June 13, 2016, to September 18, 2017. Exposures: For each analgesic type (aspirin, low-dose aspirin, nonaspirin NSAIDs, and acetaminophen), timing, duration, frequency, and number of tablets used were evaluated; exposure information was updated every 2 to 4 years. Main Outcomes and Measures: Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs for associations of aspirin, nonaspirin NSAIDs, and acetaminophen with risk of epithelial ovarian cancer. All statistical tests were 2-sided, with a significance level of .05. Results: In the NHS, the mean (SD) age at baseline (1980) was 45.9 (7.2) years, and 93% of participants identified as non-Hispanic white. In the NHSII, the mean age at baseline (1989) was 34.2 (4.7) years, and 92% identified as non-Hispanic white. Among the 205 498 women in both cohorts, there were 1054 cases of incident epithelial ovarian cancer. Significant associations between aspirin and ovarian cancer risk were not observed when current vs nonuse of any aspirin was evaluated regardless of dose (HR, 0.99; 95% CI, 0.83-1.19). However, when low-dose (≤100-mg) and standard-dose (325-mg) aspirin were evaluated separately, an inverse association for low-dose aspirin (HR, 0.77; 95% CI, 0.61-0.96), but no association for standard-dose aspirin (HR, 1.17; 95% CI, 0.92-1.49) was observed. Current use of nonaspirin NSAIDs was positively associated with risk of ovarian cancer compared with nonuse (HR, 1.19; 95% CI, 1.00-1.41), and significant positive trends for duration of use (P = .02 for trend) and cumulative average tablets per week (P = .03 for trend) were observed. There were no clear associations for the use of acetaminophen. Conclusions and Relevance: These results appear to be consistent with case-control studies that show a reduced risk of ovarian cancer among regular users of low-dose aspirin. An increased risk of ovarian cancer with long-term high-quantity use of other analgesics, particularly nonaspirin NSAIDs, was observed, although this finding requires confirmation.

Indexed as

AdultAnalgesicsAnti-Inflammatory Agents, Non-SteroidalAspirinCarcinoma, Ovarian EpithelialCohort StudiesDose-Response Relationship, DrugFemaleFollow-Up StudiesHumansMiddle AgedNursesOvarian NeoplasmsRisk FactorsAnalgesicsAnti-Inflammatory Agents, Non-SteroidalAspirin

Identifiers

PMID30286239
PMCPMC6400245
OpenAlexW2894688767

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.