Evidence map›Paper›PMID 28430705›Full record

ArticleJournal of public health management and practice : JPHMP

Disparities in Female Breast Cancer Stage at Diagnosis in New Jersey: A Spatial-Temporal Analysis.

Lisa M Roche, Xiaoling Niu, Antoinette M Stroup, Kevin A Henry

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 19% 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.

NCT06305312 narecruitingnot on this map

Community Services Navigation to Advance Health Equity in Breast Cancer Screening

TypeinterventionalSponsorUniversity of UtahRan2024 to 2028Enrolled1,450ConditionsBreast CancerArmsCommunity Service Navigation, Usual Care
NCT07029490 narecruitingnot on this map

Enhancing Mammography Programs for Outreach, Wellness, Education, and Resources (EMPOWER) in Underserved Populations Study

TypeinterventionalSponsorUniversity of UtahRan2025 to 2028Enrolled2,700ConditionsBreast CancerArmsChatbot
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Mapping Variation in Breast Cancer Screening: Where to Intervene?International journal of environmental research and public health · 2019
    Article
  10. 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

4 authors at 4 institutions in 3 countries.

Lisa M RocheCancer Epidemiology Services, New Jersey Department of Health, Trenton, New Jersey (Dr Roche and Ms Niu); Division of Cancer Epidemiology, Rutgers School of Public Health and Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey (Dr Stroup); Department of Geography and Urban Studies, Temple University, Philadelphia, Pennsylvania (Dr Henry); and Fox Chase Cancer Center, Temple University Health System, Philadelphia, Pennsylvania (Dr Henry).
Xiaoling Niu
Antoinette M Stroup
Kevin A Henry
Centers for Disease Control and Prevention · UGCreative Commons · USNur International University · PKRutgers, The State University of New Jersey · US

Funding

NEW JERSEY CANCER PREVENTION & CONTROL PROGRAMU58DP003931 · DP · NEW JERSEY STATE DEPT/HEALTH/SENIOR SRVS · PI RODRIQUEZ, GLORIA · 2012 to 2014
$11.9M
NCCDPHP CDC HHS U58 DP003931NCI NIH HHS HHSN261201300021C
6 · The paper itself

Abstract

backgroundDespite improvements in early detection of breast cancer, disparities persist in stage at diagnosis, which is an important prognostic factor.

methodsWe used the space-time scan statistic in SaTScan to identify geographic areas and time periods with significantly elevated proportions of female breast cancer diagnosed at the in situ or distant stage in New Jersey. The analyses were conducted with census tracts as the geographic unit of analysis, elliptical spatial windows, 3-year temporal windows, and Poisson models. Statistical significance was determined by 999 Monte Carlo simulations (P < .05); significant clusters were mapped in ArcMap. Breast cancer cases within the clusters were compared with breast cancer cases outside the clusters on demographic, socioeconomic, and clinical factors using the Pearson chi-square test (P < .05). In addition, populations within the clusters were compared with the population outside the clusters on demographic and socioeconomic factors.

resultsAfter exclusions, 126 756 cases of primary female breast cancer diagnosed in 1997 to 2011 from the New Jersey State Cancer Registry were included in the analysis. One distant stage breast cancer cluster was identified in northeastern New Jersey from 1997 through 2011 (n = 26 244, relative risk [RR] = 1.42, P < .001). Two in situ breast cancer clusters were found in northeastern New Jersey from 2004 through 2011 (n = 12 496, RR = 1.35, P < .001) and in central New Jersey from 2006 through 2011 (n = 29 319, RR = 1.24, P < .001). The distant stage cluster contained relatively high percentages of minority and lower socioeconomic status (SES) breast cancer cases and populations, whereas the in situ clusters had relatively low percentages of minority and lower SES breast cancer cases and populations.

conclusionAlthough there have been improvements since an earlier study of distant stage breast cancer diagnosed in 1995 to 1997, disparities in stage at diagnosis continue. These findings can be used by our local cancer control partners to target specific populations for interventions such as breast cancer education and mammography screening, as well as by state legislative and public health authorities for resource allocation.

Identifiers

PMID28430705
PMCPMC5548504
OpenAlexW2565239860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.