Evidence map›Paper›PMID 27741204›Full record

ArticleObstetrics and gynecology2016

Laparoscopically Confirmed Endometriosis and Breast Cancer in the Nurses' Health Study II.

Leslie V Farland, Rulla M Tamimi, A Heather Eliassen, Donna Spiegelman, Susan E Hankinson, Wendy Y Chen, Stacey A Missmer

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obstetrics and gynecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 4% 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

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

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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

7 authors at 1 institution in 1 country.

Leslie V FarlandDepartments of Epidemiology and Biostatistics, Harvard T. H. Chan School of Public Health, the Channing Division of Network Medicine, Department of Medicine, the Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School, and the Department of Medical Oncology, Dana Farber Cancer Institute and Harvard Medical School, Boston, and the Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts.
Rulla M Tamimi
A Heather Eliassen
Donna Spiegelman
Susan E Hankinson
Wendy Y Chen
Stacey A Missmer
Harvard University · US

Funding

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
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Harvard Education Program in Cancer Prevention Control (R25T)R25CA057711 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DAVISON, KIRSTEN · 1992 to 2018
$8.5M
Immunology, Inflammation, and EndometriosisR01HD057210 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI MISSMER, STACEY ANN · 2009 to 2012
$1.4M
Predoctoral Training Program in Reproductive, Perinatal & Pediatric EpidemiologyT32HD060454 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI MICHELS, KARIN B · 2010 to 2014
$1.1M
NCI NIH HHS R01 CA050385NCI NIH HHS R25 CA057711NCI NIH HHS UM1 CA176726NICHD NIH HHS R01 HD057210NICHD NIH HHS T32 HD060454
6 · The paper itself

Abstract

objectiveTo investigate the association between laparoscopically confirmed endometriosis and the risk of breast cancer. Previous research on endometriosis and breast cancer has reported mixed results.

methodsOur prospective cohort study included 116,430 women from the Nurses' Health Study II cohort followed from 1989 until 2013. Our primary analysis investigated the association between self-reported laparoscopically confirmed endometriosis and the risk of breast cancer. Breast cancer diagnosis was verified through medical records. Multivariable adjusted Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Breast cancer was further classified by menopausal status at the time of diagnosis and tumor hormone receptor status verified through tissue microarrays when available and medical records.

resultsAt baseline, 5,389 (5%) women reported laparoscopically confirmed endometriosis. Over 24 years of follow-up, 4,979 (3%) incident breast cancer cases were diagnosed. Women with endometriosis were not at higher risk for overall (adjusted HR 0.96, 95% CI 0.88-1.06), premenopausal (adjusted HR 1.05, 95% CI 0.89-1.23), or postmenopausal breast cancer (adjusted HR 0.93, 95% CI 0.80-1.07). However, associations varied by tumor hormone receptor status (P value, test for heterogeneity: .001), although women with endometriosis were not at increased risk of estrogen- and progesterone receptor-positive (ER+/PR+) tumors (adjusted HR 1.00, 95% CI 0.87-1.14) or ER- and PR- tumors (adjusted HR 0.90, 95% CI 0.67-1.21). Women with endometriosis reported 2.87 ER+/PR- breast cancer cases per 10,000 person-years compared with women without endometriosis (1.32/10,000 person-years), which resulted in nearly a twofold increased risk of ER+/PR- breast cancers (adjusted HR 1.90, 95% CI 1.44-2.50).

conclusionEndometriosis was not found to be associated with overall risk of breast cancer in this study; however, endometriosis was significantly associated with an increased risk of ER+/PR- breast tumors, which should be interpreted cautiously.

Indexed as

LaparoscopyAdultBreast NeoplasmsCohort StudiesEndometriosisFemaleHumansProportional Hazards ModelsProspective StudiesRisk

Identifiers

PMID27741204
PMCPMC5104279
OpenAlexW2530938270

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.