Evidence map›Paper›PMID 33041393›Full record

ArticleApplied geography (Sevenoaks, England)2020

Identifying county-level factors for female breast cancer incidence rate through a large-scale population study.

Tingting Zhao, Zihan Cui, Mary Grace McClellan, Disa Yu, Qing-Xiang Amy Sang, Jinfeng Zhang

Open access · greenAbstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 86% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Tingting ZhaoDepartment of Geography, Florida State University, Tallahassee, FL, 32306.
Zihan CuiDepartment of Statistics, Florida State University, Tallahassee, FL, 32306.
Mary Grace McClellanDepartment of Geography, Florida State University, Tallahassee, FL, 32306.
Disa YuDepartment of Statistics, Florida State University, Tallahassee, FL, 32306.
Qing-Xiang Amy SangDepartment of Chemistry and Biochemistry, Florida State University, Tallahassee, FL 32306.
Jinfeng ZhangDepartment of Statistics, Florida State University, Tallahassee, FL, 32306.
Florida State University · US

Funding

Collaborative Research: Mathematical Framework for Biomolecules: From Protein to RNA to ChromosomesR01GM126558 · NIGMS · FLORIDA STATE UNIVERSITY · PI ZHANG, JINFENG · 2017 to 2021
$1.5M
NIGMS NIH HHS R01 GM126558
6 · The paper itself

Abstract

Female breast cancer (FBC) incidence rate (IR) varies greatly across counties in the United States (U.S.). Factors contributing to these geographic disparities have not been fully understood at the population level. In this study, we investigated the relationships between the county-level FBC IR and a diverse set of variables in demographics, socioeconomics, life style, health care accessibility, and environment. Our study included 1,277 counties in the U.S. where the female population was 10,000 or above for at least one race/ethnicity. After controlling for the racial/ethnic and other significant factors, percent of husband-wife family households (pHWFH) for a racial/ethnic group in a county is negatively associated with FBC IR (p < 0.001). A 10% increase in married family households may lower a county's IR by 5.2 cases per 100,000 females per year. We also found that PM

Indexed as

air pollutioncancer epidemiologygeographic disparitymarital statuspublic healthUnited States

Identifiers

PMID33041393
PMCPMC7543978
OpenAlexW3088044773

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.