Evidence map›Paper›PMID 25503962›Full record

ArticleBreast cancer research and treatment2015

Immunoassay and Nb2 lymphoma bioassay prolactin levels and mammographic density in premenopausal and postmenopausal women the Nurses' Health Studies.

Megan S Rice, Shelley S Tworoger, Kimberly A Bertrand, Susan E Hankinson, Bernard A Rosner, Yvonne B Feeney, Charles V Clevenger, Rulla M Tamimi

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Early-Life and Adult Anthropometrics in Relation to Mammographic Image Intensity Variation in the Nurses' Health Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  5. Article
  6. 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

8 authors.

Megan S RiceChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Ave 3rd Floor, Boston, MA, 02115, USA, nhmsr@channing.harvard.edu.
Shelley S Tworoger
Kimberly A Bertrand
Susan E Hankinson
Bernard A Rosner
Yvonne B Feeney
Charles V Clevenger
Rulla M Tamimi

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 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
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
BIOCHEMICAL MARKERS IN THE NURSES HEALTH STUDY COHORTU01CA049449 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HANKINSON, SUSAN E · 1995 to 2013
$5.4M
Nutritional Epidemiology of Cancer Education and Career Development ProgramR25CA098566 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI STAMPFER, MEIR · 2003 to 2013
$4.5M
Whole Genome Association Study of Mammographic DensityR01CA131332 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2009 to 2012
$1.9M
Growth Hormones and Breast Cancer RiskR01CA138580 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2010 to 2013
$1.7M
Molecular Predictors of Mammographic DensityR01CA124865 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2008 to 2011
$1.2M
PREMENOPAUSAL HORMONE LEVELS AND RISK OF BREAST CANCERU01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1996 to 2001
$1.1M
NCI NIH HHS CA124865NCI NIH HHS CA131332NCI NIH HHS CA49449NCI NIH HHS CA50385NCI NIH HHS CA67262NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA87969NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA050385NCI NIH HHS R01 CA067262NCI NIH HHS R01 CA124865NCI NIH HHS R01 CA131332NCI NIH HHS R01 CA138580NCI NIH HHS R01CA138580NCI NIH HHS R25 CA098566NCI NIH HHS T32 CA009001NCI NIH HHS T32 CA09001NCI NIH HHS U01 CA049449NCI NIH HHS U01 CA067262NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

Higher circulating prolactin levels have been associated with higher percent mammographic density among postmenopausal women in some, but not all studies. However, few studies have examined associations with dense area and non-dense breast area breast or considered associations with prolactin Nb2 lymphoma cell bioassay levels. We conducted a cross-sectional study among 1,124 premenopausal and 890 postmenopausal women who were controls in breast cancer case-control studies nested in the Nurses' Health Study (NHS) and NHSII. Participants provided blood samples in 1989-1990 (NHS) or 1996-1999 (NHSII) and mammograms were obtained from around the time of blood draw. Multivariable linear models were used to assess the associations between prolactin levels (measured by immunoassay or bioassay) with percent density, dense area, and non-dense area. Among 1,124 premenopausal women, percent density, dense area, and non-dense area were not associated with prolactin immunoassay levels in multivariable models (p trends = 0.10, 0.18, and 0.69, respectively). Among 890 postmenopausal women, those with prolactin immunoassay levels in the highest versus lowest quartile had modestly, though significantly, higher percent density (difference = 3.01 percentage points, 95 % CI 0.22, 5.80) as well as lower non-dense area (p trend = 0.02). Among women with both immunoassay and bioassay levels, there were no consistent differences in the associations with percent density between bioassay and immunoassay levels. Postmenopausal women with prolactin immunoassay levels in the highest quartile had significantly higher percent density as well as lower non-dense area compared to those in the lowest quartile. Future studies should examine the underlying biologic mechanisms, particularly for non-dense area.

Indexed as

AdultAgedBreast DensityBreast NeoplasmsCross-Sectional StudiesFemaleHumansImmunoassayLymphomaMammary Glands, HumanMammographyMiddle AgedPostmenopausePremenopauseProlactinRisk FactorsProlactin

Identifiers

PMID25503962
PMCPMC4381437

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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.