Evidence map›Paper›PMID 37329257›Full record

SynthesisCA: a cancer journal for clinicians

Social determinants of health and US cancer screening interventions: A systematic review.

Ariella R Korn, Callie Walsh-Bailey, Margarita Correa-Mendez, Peter DelNero, Meagan Pilar, Brittney Sandler, Ross C Brownson, Karen M Emmons, April Y Oh

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in CA: a cancer journal for clinicians. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
36.3field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 83 citations in OpenAlex.

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  16. Telemedicine for diabetic retinopathy screening.The Cochrane database of systematic reviews · 2026
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18 more citing papers are in PubMed but not listed here.

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

9 authors at 5 institutions in 1 country.

Ariella R KornCancer Prevention Fellowship Program, Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland, USA.ORCID 0000-0001-7227-7365
Callie Walsh-BaileyPrevention Research Center, Brown School at Washington University in St Louis, St Louis, Missouri, USA.
Margarita Correa-MendezCancer Prevention Fellowship Program, Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland, USA.
Peter DelNeroCollege of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Meagan PilarDivision of Infectious Diseases, Washington University School of Medicine, St Louis, Missouri, USA.
Brittney SandlerBernard Becker Medical Library, Washington University School of Medicine, St Louis, Missouri, USA.
Ross C BrownsonPrevention Research Center, Brown School at Washington University in St Louis, St Louis, Missouri, USA.
Karen M EmmonsDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA.
April Y OhImplementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland, USA.
Washington University in St. Louis · USNational Cancer Institute · USHarvard University · USRAND Corporation · USUniversity of Arkansas for Medical Sciences · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
The Implementation Science Center for Cancer Control Equity - Research ProgramP50CA244433 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI EMMONS, KAREN M. · 2019 to 2023
$12.5M
Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2019 to 2023
$8.0M
The Retain Study: Recruiting and Engaging with Technology Older Adults to Increase NeurocognitionU48DP006395 · DP · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2018 to 2023
$4.8M
MENTORING MULTIDISCIPLINARY PATIENT-ORIENTED RESEARCH IN ENGAGEMENT IN HIV CAREK24AI134413 · NIAID · WASHINGTON UNIVERSITY · PI Elvin H. Geng · 2017 to 2026
$1.4M
Training LEADers to Accelerate Global Mental Health Disparities in Research (LEAD)T37MD014218 · NIMHD · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A, SSEWAMALA, FRED M · 2019 to 2023
$1.3M
Improving Mammography Completion and Follow-Up in Community Health CentersR03CA256233 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI EMMONS, KAREN M. · 2021 to 2022
$174k
ACL HHS U48DP006395NCCDPHP CDC HHS U48 DP006395NCI NIH HHS P30 CA091842NCI NIH HHS P50 CA244431NCI NIH HHS P50 CA244433NCI NIH HHS R03 CA256233NIAID NIH HHS K24 AI134413NIMHD NIH HHS T37 MD014218
6 · The paper itself

Abstract

There remains a need to synthesize linkages between social determinants of health (SDOH) and cancer screening to reduce persistent inequities contributing to the US cancer burden. The authors conducted a systematic review of US-based breast, cervical, colorectal, and lung cancer screening intervention studies to summarize how SDOH have been considered in interventions and relationships between SDOH and screening. Five databases were searched for peer-reviewed research articles published in English between 2010 and 2021. The Covidence software platform was used to screen articles and extract data using a standardized template. Data items included study and intervention characteristics, SDOH intervention components and measures, and screening outcomes. The findings were summarized using descriptive statistics and narratives. The review included 144 studies among diverse population groups. SDOH interventions increased screening rates overall by a median of 8.4 percentage points (interquartile interval, 1.8-18.8 percentage points). The objective of most interventions was to increase community demand (90.3%) and access (84.0%) to screening. SDOH interventions related to health care access and quality were most prevalent (227 unique intervention components). Other SDOH, including educational, social/community, environmental, and economic factors, were less common (90, 52, 21, and zero intervention components, respectively). Studies that included analyses of health policy, access to care, and lower costs yielded the largest proportions of favorable associations with screening outcomes. SDOH were predominantly measured at the individual level. This review describes how SDOH have been considered in the design and evaluation of cancer screening interventions and effect sizes for SDOH interventions. Findings may guide future intervention and implementation research aiming to reduce US screening inequities.

Indexed as

Lung NeoplasmsSocial Determinants of HealthEarly Detection of CancerEducational StatusHealth Status DisparitiesHumanscancer screeningearly detection of cancerhealth equityimplementation sciencesocial determinants of healthUnited States

Identifiers

PMID37329257
PMCPMC10529377
OpenAlexW4381052896

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.