Evidence map›Paper›PMID 37223584›Full record

ArticlePreventive medicine reports2023

A novel method for measuring the burden of breast cancer in neighborhoods.

Russell K McIntire, Hee-Soon Juon, Scott W Keith, Nicole L Simone, Dexter Waters, Eleanor Lewis, Charnita Zeigler-Johnson

Abstract read
In one paragraph

Article in Preventive medicine reports, 2023. 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

7 authors.

Russell K McIntireJefferson College of Population Health, Thomas Jefferson University, 901 Walnut St., 10 Floor, Philadelphia, PA 19107, United States.
Hee-Soon JuonDivision of Population Science, Department of Medical Oncology, Thomas Jefferson University, 834 Chestnut St., Benjamin Franklin House, Suite 320, Philadelphia, PA 19107, United States.
Scott W KeithDivision of Biostatistics, Department of Pharmacology, Physiology, & Cancer Biology, Thomas Jefferson University, 130 S 9 St., 17 Floor, Philadelphia, PA 19107, United States.
Nicole L SimoneDepartment of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, 111 South 11 St. Bodine Center, Suite G-301, Philadelphia, PA 19107, United States.
Dexter WatersJefferson College of Population Health, Thomas Jefferson University, 901 Walnut St., 10 Floor, Philadelphia, PA 19107, United States.
Eleanor LewisJefferson College of Population Health, Thomas Jefferson University, 901 Walnut St., 10 Floor, Philadelphia, PA 19107, United States.
Charnita Zeigler-JohnsonDivision of Population Science, Department of Medical Oncology, Thomas Jefferson University, 834 Chestnut St., Benjamin Franklin House, Suite 320, Philadelphia, PA 19107, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community-based breast cancer prevention efforts often focus on women who live in the same neighborhoods, as they tend to have similar demographic characteristics, health behaviors, and environmental exposures; yet little research describes methods of selecting neighborhoods of focus for community-based cancer prevention interventions. Studies frequently use demographics from census data, or single breast cancer outcomes (e.g., mortality, morbidity) in order to choose neighborhoods of focus for breast cancer interventions, which may not be optimal. This study presents a novel method for measuring the burden of breast cancer among neighborhoods that could be used for selecting neighborhoods of focus. In this study, we 1) calculate a metric composed of multiple breast cancer outcomes to describe the burden of breast cancer in census tracts Philadelphia, PA, USA; 2) map the neighborhoods with the greatest breast cancer burden; and 3) compare census tracts with the highest burden of breast cancer to those with demographics sometimes used for geo-based prioritization, i.e., race and income. The results of our study showed that race or income may not be appropriate proxies for neighborhood breast cancer burden; comparing the breast cancer burden with demographics at the census tract level, we found few overlaps with the highest percentage African American or the lowest median incomes. Agencies implementing community-based breast cancer interventions should consider this method to inform the selection of neighborhoods for breast cancer prevention interventions, including education, screening, and treatment.

Indexed as

Breast neoplasmsEpidemiologyGeographic mappingPrevention & controlPublic healthResidence characteristics

Identifiers

PMID37223584
PMCPMC10201825

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.