Evidence map›Paper›PMID 31099623›Full record

ReviewAmerican Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting2019

Epidemiology and Implementation of Cancer Prevention in Disparate Populations and Settings.

Ana Maria Lopez, Lauren Hudson, Nathan L Vanderford, Robin Vanderpool, Jennifer Griggs, Mara Schonberg

Open access · greenAbstract readReview
In one paragraph

Review in American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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 5 institutions in 1 country.

Ana Maria Lopez1 Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA.
Lauren Hudson2 University of Kentucky Markey Cancer Center, Lexington, KY.
Nathan L Vanderford2 University of Kentucky Markey Cancer Center, Lexington, KY.
Robin Vanderpool2 University of Kentucky Markey Cancer Center, Lexington, KY.
Jennifer Griggs3 University of Michigan, Ann Arbor, MI.
Mara Schonberg4 Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA.
University of Kentucky · USHarvard University · USMarkey Cancer Center · USThomas Jefferson University · USUniversity of Michigan–Ann Arbor · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Jennifer F Rogers · 2013 to 2026
$38.3M
University of Kentucky Center for Cancer MetabolismP20GM121327 · NIGMS · UNIVERSITY OF KENTUCKY · PI Binhua P Zhou · 2017 to 2026
$25.0M
Rural Cancer Prevention Center __ Early Detection of Colorectal Cancer and PolypsU48DP005014 · DP · UNIVERSITY OF KENTUCKY · PI CROSBY, RICHARD A · 2014 to 2018
$6.3M
Appalachian Career Training in Oncology (ACTION) ProgramR25CA221765 · NCI · UNIVERSITY OF KENTUCKY · PI Nathan Lane Vanderford · 2018 to 2026
$3.7M
Randomized Trial of a Mammography Decision Aid for Women Aged 75 and OlderR01CA181357 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SCHONBERG, MARA A · 2014 to 2018
$2.9M
Discussions of Prognosis and Stopping Cancer Screening in Older AdultsR21CA212386 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SCHONBERG, MARA A · 2017 to 2018
$425k
NCCDPHP CDC HHS U48 DP005014NCI NIH HHS P30 CA177558NCI NIH HHS R01 CA181357NCI NIH HHS R21 CA212386NCI NIH HHS R25 CA221765NIGMS NIH HHS P20 GM121327
6 · The paper itself

Abstract

Successful cancer prevention strategies must be tailored to support usability. In this article, we will focus on cancer prevention strategies in populations that differ by race and ethnicity, place and location, sexual orientation and gender identity, and age by providing examples of effective approaches. An individual may belong to none of these categories, to all of these categories, or to some. This intersectionality of belonging characterizes individuals and shapes their experiences. Even within a category, broad diversity exists. Effective cancer prevention strategies comprehensively engage the community at multiple levels of influence and may effectively include lay health workers and faith-based cancer education interventions. Health system efforts that integrate cancer health with other health promotion activities show promise. At the individual physician level, culturally literate approaches have demonstrated success. For example, when discussing cancer screening tests with older adults, clinicians should indicate whether any data suggest that the screening test improves quality or quantity of life and the lag time to benefit from the screening test. This will allow older adults to make an informed cancer screening decision based on a realistic understanding of the potential benefits and risks and their values and preferences. Addressing individual and health system bias remains a challenge. Quality improvement strategies can address gaps in quality of care with respect to timeliness of care, coordination of care, and patient experience. The time is ripe for research on effective and interdisciplinary prevention strategies that harness expertise from preventive medicine, behavioral medicine, implementation science, e-health, telemedicine, and other diverse fields of health promotion.

Indexed as

Delivery of Health CareHealthcare DisparitiesVulnerable PopulationsAgedAged, 80 and overAge FactorsEthnicityFemaleGeriatric AssessmentHealth Plan ImplementationHumansMaleMass ScreeningNeoplasmsPublic Health SurveillanceRacial Groups

Identifiers

PMID31099623
PMCPMC6556209
OpenAlexW2945934987

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.