Evidence map›Paper›PMID 30029888›Full record

ArticleThe Lancet. Oncology2018

Pre-diagnosis and post-diagnosis use of common analgesics and ovarian cancer prognosis (NHS/NHSII): a cohort study.

Melissa A Merritt, Megan S Rice, Mollie E Barnard, Susan E Hankinson, Ursula A Matulonis, Elizabeth M Poole, Shelley S Tworoger

Abstract read
In one paragraph

Article in The Lancet. Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. 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
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  19. High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 1 country.

Melissa A MerrittEpidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA. Electronic address: melissa.merritt@hawaii.edu.
Megan S RiceChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Mollie E BarnardDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
Susan E HankinsonDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA.
Ursula A MatulonisGynecologic Oncology Program, Dana-Farber Cancer Institute, Boston, MA, USA.
Elizabeth M PooleChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Shelley S TworogerDepartment of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.
Harvard University · USDana-Farber Cancer Institute · USMassachusetts General Hospital · USMoffitt Cancer Center · USUniversity of Hawaii Cancer CenterUniversity of Massachusetts Amherst · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Risk Factors for Breast Cancer in Younger NursesR01CA050385 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 1989 to 2019
$32.3M
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 R01 CA050385NCI NIH HHS T32 CA009001NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundOvarian cancer is the fifth most common cause of cancer death among women in the USA. In this study, our objective was to determine whether modifiable exposures to common analgesics outside of standard treatment influence prognosis in patients with ovarian cancer.

methodsThe Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII) are ongoing prospective studies of 121 700 and 116 429 US nurses who have completed biennial questionnaires since 1976 and 1989, respectively. We retrieved information from medical records, death certificates, or linkage to a state or Surveillance, Epidemiology, and End Results (SEER) cancer registry on ovarian cancer cases. Eligible participants had confirmed invasive, stage I-III epithelial ovarian cancer, and had data available on analgesic use. The primary objective was to determine whether self-reported regular use (≥2 days per week) of aspirin, non-aspirin non-steroidal anti-inflammatory drugs (NSAIDs), or paracetamol before and after ovarian cancer diagnosis, was associated with ovarian cancer-specific survival. We used Cox proportional hazards regression to calculate hazard ratios (HRs) and 95% CIs for these associations, adjusting for age and year of diagnosis, disease stage, and histology.

findingsBetween June 1, 1976, and May 31, 2012, for the NHS and between June 1, 1989, and May 31, 2013, for NHSII, 1789 participants of the NHS and NHSII studies were diagnosed with epithelial ovarian cancer and 1143 (64%) were eligible to be included in this study; 1031 (90%) of 1143 cases were included in the pre-diagnosis exposure analysis and 964 cases (84%) in the post-diagnosis exposure analysis. Compared with never-users, participants who reported recent (current use in the past 2 years) post-diagnosis use of aspirin (HR 0·68 [95% CI 0·52-0·89]) and non-aspirin NSAIDs (HR 0·67 [95% CI 0·51-0·87]) had an improved ovarian cancer-specific survival. Any type of analgesic use pre-diagnosis, and post-diagnosis use of paracetamol, were not positively associated with ovarian cancer-specific survival. In analyses of change in analgesic use from pre-diagnosis to post-diagnosis, those participants who became recent users of aspirin (HR 0·44 [95% CI 0·26-0·74]) or became recent users of non-aspirin NSAIDs (HR 0·46 [95% CI 0·29-0·73]) post-diagnosis had a lower risk of ovarian cancer-specific death than never-users.

interpretationRecent use of aspirin or non-aspirin NSAIDs, defined as current use in the past 2 years, after diagnosis appears to improve ovarian cancer-specific survival. If these results are confirmed in further studies, further research should explore potential synergistic effects of anti-inflammatory medications used in combination with standard ovarian cancer therapies to improve the prognosis for patients diagnosed with ovarian cancer.

fundingNational Institutes of Health, National Cancer Institute, The Marsha Rivkin Center for Ovarian Cancer Research.

Indexed as

AcetaminophenAnalgesicsAnti-Inflammatory Agents, Non-SteroidalAspirinAdultAgedCarcinoma, Ovarian EpithelialCohort StudiesFemaleHumansMiddle AgedProportional Hazards ModelsAcetaminophenAnalgesicsAnti-Inflammatory Agents, Non-SteroidalAspirin

Identifiers

PMID30029888
PMCPMC6242286
OpenAlexW2883446801

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Registered trials

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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.