Evidence map›Paper›PMID 31440744›Full record

ArticleCancer health disparities2019

Breast Cancer Incidence and Mortality by Molecular Subtype: Statewide Age and Racial/Ethnic Disparities in New Jersey.

Aishwarya Kulkarni, Antoinette M Stroup, Lisa E Paddock, Stephanie M Hill, Jesse J Plascak, Adana A M Llanos

Open access · greenAbstract read
In one paragraph

Article in Cancer health disparities, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 27% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Racial Differences in Breast Cancer Survival Between Black and White Women According to Tumor Subtype: A Systematic Review and Meta-Analysis.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
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  18. Peptides Derived from (RRWQWRMKKLG)International journal of molecular sciences · 2020
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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

6 authors at 2 institutions in 1 country.

Aishwarya KulkarniDepartment of Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Antoinette M StroupDepartment of Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Lisa E PaddockDepartment of Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Stephanie M HillRutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Jesse J PlascakDepartment of Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Adana A M LlanosDepartment of Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Rutgers, The State University of New Jersey · USRutgers Cancer Institute of New Jersey

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
Adipokines, adipokine receptors, and disparities in breast cancer clinicopathological featuresK01CA193527 · NCI · RBHS-SCHOOL OF PUBLIC HEALTH · PI LLANOS, ADANA A. M. · 2015 to 2020
$692k
NCCDPHP CDC HHS U58 DP003931NCI NIH HHS HHSN261201300021CNCI NIH HHS K01 CA193527NCI NIH HHS P30 CA072720
6 · The paper itself

Abstract

The objective of this study was to assess breast cancer incidence and mortality rates by molecular subtype for cases diagnosed in New Jersey. Data on all primary, histologically confirmed, invasive breast cancers diagnosed among women between January 1, 2008 and December 31, 2013 were retrieved from the New Jersey State Cancer Registry. Age-adjusted incidence rates were calculated for each subtype, by ageandrace/ethnicity. Logistic regression models, Cox proportional hazards models, and Kaplan Meier curves were used to describe the relative risks for breast cancer incidence, mortality, and survival, respectively. In this population-based sample of 32,770 breast cancer cases, non-Hispanic Blacks (NHBs) had the highest triple-negative breast cancer (TNBC) incidence rate (17.8 per 100,000, 95% CI 16.5-19.2) compared to other races/ethnicities. NHBs had also higher odds of TNBC (OR 2.1, 95% CI 1.95-2.36) and higher hazards of death when diagnosed with TNBC (HR 1.28, 95% CI 1.05-1.56), luminal A (HR 1.64, 95% CI 1.41-1.91), or luminal B (HR 1.54, 95% CI 1.10-2.15) than non-Hispanic Whites (NHWs). Younger women (20-39 years) had higher odds of TNBC (OR 1.77, 95% CI 1.54-2.02) and luminal B (OR 1.56, 95% CI 1.35-1.80) compared to women 50-64 years; minority women had higher odds of non-luminal HER2-expressing and lower odds of luminal A than NHWs. TNBC was associated with the poorest survival rates. These findings highlight a need for enhanced screening to promote earlier diagnosis and improve breast cancer outcomes, particularly in minorities and younger women, which will be essential for achieving health equity.

Indexed as

breast cancerdisparitiesdiverse populationincidencemolecular subtypemortalitysurveillance

Identifiers

PMID31440744
PMCPMC6706320
OpenAlexW2854910164

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.