Evidence map›Paper›PMID 31862104›Full record

ArticleAmerican journal of preventive medicine2020

Advancing Cancer Control in San Francisco: Cancer Screening in Under-Represented Populations.

Natalie A Rivadeneira, Mekhala Hoskote, Gem M Le, Tung T Nguyen, Anna María Nápoles, Rena J Pasick, Urmimala Sarkar, Robert A Hiatt

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  6. A National Map of NCI-Designated Cancer Center Catchment Areas on the 50th Anniversary of the Cancer Centers Program.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
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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

8 authors.

Natalie A RivadeneiraCenter for Vulnerable Populations, Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California. Electronic address: natalie.rivadeneira@ucsf.edu.
Mekhala HoskoteCenter for Vulnerable Populations, Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California.
Gem M LeCenter for Vulnerable Populations, Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California.
Tung T NguyenDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California.
Anna María NápolesDivision of Intramural Research, National Institute on Minority Health and Health Disparities, NIH, Bethesda, Maryland.
Rena J PasickDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California.
Urmimala SarkarCenter for Vulnerable Populations, Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California.
Robert A HiattHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California; Department of Epidemiology & Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, California.

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Leigh Clarke · 1999 to 2026
$209.7M
Translating Behavioral Interventions for Health Disparity PopulationsZIAMD000014 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI CHOI, KELVIN · 2018 to 2023
$4.8M
NCI NIH HHS P30 CA082103
6 · The paper itself

Abstract

introductionCancer risk and screening data are limited in their ability to inform local interventions to reduce the burden of cancer in vulnerable populations. The San Francisco Health Information National Trends Survey was developed and administered to assess the use of cancer-related information among under-represented populations in San Francisco to provide baseline data for the San Francisco Cancer Initiative.

methodsThe survey instrument was developed through consultation with research and community partners and translated into 4 languages. Participants were recruited between May and September 2017 through community-based snowball sampling with quotas to ensure adequate numbers of under-represented populations. Chi-square tests and multivariate logistic regression were used between 2018 and 2019 to assess differences in screening rates across groups and factors associated with cancer screening.

resultsOne thousand twenty-seven participants were recruited. Asians had lower rates of lifetime mammogram (p=0.02), Pap test (p<0.01), and prostate-specific antigen test (p=0.04) compared with non-Asians. Hispanics had higher rates of lifetime mammogram (p=0.02), lifetime Pap test (p=0.01), recent Pap test (p=0.03), and lifetime prostate-specific antigen test (p=0.04) compared with non-Hispanics. Being a female at birth was the only factor that was independently associated with cancer screening participation (AOR=3.17, 95% CI=1.40, 7.19).

conclusionsScreening adherence varied by race, ethnicity, and screening type. A collaborative, community-based approach led to a large, diverse sample and may serve as a model for recruiting diverse populations to add knowledge about cancer prevention preferences and behaviors. Results suggest targeted outreach efforts are needed to address disparate cancer screening behaviors within this diverse population.

Indexed as

Early Detection of CancerNeoplasmsAsianBlack or African AmericanBlack PeopleColonoscopyFemaleHispanic or LatinoHumansMaleMammographyMiddle AgedPapanicolaou TestProstate-Specific AntigenSan FranciscoSex FactorsProstate-Specific Antigen

Identifiers

PMID31862104
PMCPMC7173710

What OpenQuestion holds

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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.