Evidence map›Paper›PMID 39420200›Full record

ArticleNPJ breast cancer2024

Plasma C-peptide mammographic features and risk of breast cancer.

Shadi Azam, Cheng Peng, Bernard A Rosner, Marcus D Goncalves, Erica Phillips, Heather Eliassen, John Heine, Susan E Hankinson, Rulla M Tamimi

Abstract read
In one paragraph

Article in NPJ breast cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Shadi AzamDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. sha4015@med.cornell.edu.
Cheng PengChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Bernard A RosnerChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6907-0056
Marcus D GoncalvesDepartment of Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-0784-9248
Erica PhillipsDepartment of Medicine, Weill Cornell Medicine, New York, NY, USA.
Heather EliassenChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3961-6609
John HeineDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Susan E HankinsonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Rulla M TamimiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0003-2306-8668

Funding

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
Quantitative Imaging Clinical Validation Center at Moffitt Cancer CenterU01CA200464 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI JOHN J HEINE, Matthew B. Schabath · 2016 to 2026
$9.2M
Whole Genome Association Study of Mammographic DensityR01CA131332 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2009 to 2012
$1.9M
Mammographic density and texture features in relation to breast cancer riskR01CA175080 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2013 to 2016
$1.7M
Molecular Predictors of Mammographic DensityR01CA124865 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2008 to 2011
$1.2M
NCI NIH HHS R01 CA124865NCI NIH HHS R01 CA131332NCI NIH HHS R01 CA175080NCI NIH HHS U01 CA200464NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

Our study in the Nurses' Health Study (NHS) and NHS2, a nested case-control study with 1260 cases and 2221 controls, investigated the association between C-peptide levels, mammographic density (MD) parameters, V (a measure of gray scale variation), and breast cancer (BC) risk. We also examined how C-peptide and BC risk vary across quartiles of mammographic features. Linear and logistic regressions were used to study the associations between C-peptide and MD parameters, and breast cancer. C-peptide was inversely associated with percent MD and positively with non-dense area, but no associations were found with dense area and V measure. C-peptide was associated with an increased risk of invasive BC risk (top vs. bottom quartile, odds ratio = 1.46, 95% CI: 1.12-1.91). No multiplicative interactions were found between C-peptide, MD parameters, and BC risk. Our results suggest a positive association between C-peptide and BC risk, and MD parameters do not seem to modify this association.

Identifiers

PMID39420200
PMCPMC11487244

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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.