Evidence map›Paper›PMID 31473220›Full record

ArticlePreventive medicine2019

The Cancer Prevention and Control Research Network (CPCRN): Advancing public health and implementation science.

Arica White, Susan A Sabatino, Cynthia Vinson, David Chambers, Mary C White

Abstract read
In one paragraph

Article in Preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  12. Factors Associated with Colorectal Cancer Screening in Spain: Results of the 2017 National Health Survey.International journal of environmental research and public health · 2022
    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

5 authors.

Arica WhiteCenters for Disease Control and Prevention, United States of America.
Susan A SabatinoCenters for Disease Control and Prevention, United States of America. Electronic address: bzo8@cdc.gov.
Cynthia VinsonNational Cancer Institute, United States of America.
David ChambersNational Cancer Institute, United States of America.
Mary C WhiteCenters for Disease Control and Prevention, United States of America.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The Cancer Prevention and Control Research Network (CPCRN) is one of the thematic networks of the United States' Centers for Disease Control and Prevention's (CDC) Prevention Research Centers. Network members are academic research centers in the United States who collaborate with public health and community partners to accelerate the use of evidence-based interventions in communities to reduce the burden of cancer, especially among underserved populations. CPCRN studies include geographically dispersed populations, cross-institution partnerships, and opportunities for collaborative learning across network centers. Since its inception in 2002, CPCRN has worked to translate research on community-based intervention strategies into practice to improve cancer screening and reduce cancer risk. This commentary describes CPCRN's role in contributing to public health and the field of dissemination and implementation science. In addition, CDC and the National Cancer Institute describe how their joint support of the network contributes to each organization's goals and missions.

Indexed as

Evidence-Based MedicineImplementation ScienceInformation DisseminationMedically Underserved AreaPublic HealthCenters for Disease Control and Prevention, U.S.Delivery of Health CareHumansNeoplasmsUnited StatesDisparitiesImplementation sciencePublic healthTranslation

Identifiers

PMID31473220
PMCPMC7032049

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.