Evidence map›Paper›PMID 23868488›Full record

ArticleCancer2013

Moving forward: using the experience of the CDCs' Colorectal Cancer Screening Demonstration Program to guide future colorectal cancer programming efforts.

Laura C Seeff, Amy DeGroff, Djenaba A Joseph, Janet Royalty, Florence K L Tangka, Marion R Nadel, Marcus Plescia

Abstract read
In one paragraph

Article in Cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Laura C SeeffDivision of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia 30341-3717, USA. lseeff@cdc.gov
Amy DeGroff
Djenaba A Joseph
Janet Royalty
Florence K L Tangka
Marion R Nadel
Marcus Plescia

Funding

Intramural CDC HHS CC999999NIAAA NIH HHS RFA AA030
6 · The paper itself

Abstract

backgroundThe Centers for Disease Control and Prevention (CDC) established and supported a 4-year Colorectal Cancer Screening Demonstration Program (CRCSDP) from 2005 to 2009 for low-income, under- or uninsured men and women aged 50-64 at 5 sites in the United States.

methodsA multiple methods evaluation was conducted including 1) a longitudinal, comparative case study of program implementation, 2) the collection and analysis of client-level screening and diagnostic services outcome data, and 3) the collection and analysis of program- and patient-level cost data.

resultsSeveral themes emerged from the results reported in the series of articles in this Supplement. These included the benefit of building on an existing infrastructure, strengths and weakness of both the 2 most frequently used screening tests (colonoscopy and fecal occult blood tests), variability in costs of maintaining this screening program, and the importance of measuring the quality of screening tests. Population-level evaluation questions could not be answered because of the small size of the participating population and the limited time frame of the evaluation. The comprehensive evaluation of the program determined overall feasibility of this effort.

conclusionsCritical lessons learned through the implementation and evaluation of the CDC's CRCSDP led to the development of a larger population-based program, the CDC's Colorectal Cancer Control Program (CRCCP).

Indexed as

Centers for Disease Control and Prevention, U.S.Colorectal NeoplasmsEarly Detection of CancerFemaleForecastingHumansLongitudinal StudiesMaleMass ScreeningMiddle AgedPovertyUnited Statescolonoscopycolorectal cancer screening

Identifiers

PMID23868488
PMCPMC12305802

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.