Evidence map›Paper›PMID 26678006›Full record

ArticleMayo Clinic proceedings2016

Personalizing Aspirin Use for Targeted Breast Cancer Chemoprevention in Postmenopausal Women.

Aditya Bardia, Tanya E Keenan, Jon O Ebbert, DeAnn Lazovich, Alice H Wang, Robert A Vierkant, Janet E Olson, Celine M Vachon, Paul J Limburg, Kristin E Anderson and 1 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Sulindac, a Nonselective NSAID, Reduces Breast Density in Postmenopausal Women with Breast Cancer Treated with Aromatase Inhibitors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
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

11 authors.

Aditya BardiaMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Tanya E KeenanMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Jon O EbbertDepartment of Internal Medicine, Mayo Clinic, Rochester, MN.
DeAnn LazovichSchool of Public Health, University of Minnesota, Minneapolis.
Alice H WangDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Robert A VierkantDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Janet E OlsonDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Celine M VachonDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN.
Paul J LimburgDepartment of Internal Medicine, Mayo Clinic, Rochester, MN.
Kristin E AndersonSchool of Public Health, University of Minnesota, Minneapolis.
James R CerhanDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN. Electronic address: cerhan.james@mayo.edu.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
EPIDEMIOLOGY OF CANCER IN A COHORT OF OLDER WOMENR01CA039742 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LAZOVICH, DEANN · 1985 to 2014
$8.0M
NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA039742NCI NIH HHS R01 CA39742
6 · The paper itself

Abstract

objectiveTo evaluate the association of aspirin and other nonsteroidal anti-inflammatory drugs with the incidence of postmenopausal breast cancer for risk subgroups defined by selected nonmodifiable or difficult to modify breast cancer risk factors in order to better understand the potential risk-benefit ratio for targeted chemoprevention. PATIENTS AND

methodsPostmenopausal women with no history of cancer on July 1, 1992 (N=26,580), were prospectively followed up through December 31, 2005, for breast cancer incidence (N=1581). Risk subgroups were defined on the basis of family history of breast cancer, age at menarche, age at menopause, parity/age at first live birth, personal history of benign breast disease, and body mass index. Hazard ratios (HRs) and 95% CIs adjusted for other breast cancer risk factors were estimated using Cox models.

resultsAspirin use was associated with a lower incidence of breast cancer for women with a family history of breast cancer (HR, 0.62 for 6 or more times per week vs never use; 95% CI, 0.41-0.93) and those with a personal history of benign breast disease (HR, 0.69; 95% CI, 0.50-0.95) but not for women in higher-risk subgroups for age at menarche, age at menopause, parity/age at first live birth, or body mass index. In contrast, inverse associations with aspirin use were observed in all lower-risk subgroups. Nonsteroidal anti-inflammatory drug use had no association with breast cancer incidence.

conclusionOn the basis of their increased risk of breast cancer, postmenopausal women with a family history of breast cancer or a personal history of benign breast disease could potentially be targeted for aspirin chemoprevention studies. Future studies are needed to confirm these findings.

Indexed as

Breast NeoplasmsChemopreventionReproductive HistoryAgedAge FactorsAnti-Inflammatory Agents, Non-SteroidalAspirinCohort StudiesFemaleHumansIowaMiddle AgedOutcome Assessment, Health CarePostmenopauseProportional Hazards ModelsRisk AssessmentAnti-Inflammatory Agents, Non-SteroidalAspirin

Identifiers

PMID26678006
PMCPMC4807132

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.