Literature DB >> 26651258

Assessment of a cancer screening program.

Linda Rabeneck1, Iris Lansdorp-Vogelaar2.   

Abstract

Several Asian countries are implementing nationwide cancer screening programs. Assessment of the effectiveness of these programs is critical to their success as this is the only way to ensure that the benefits of screening outweigh the harms. In this paper we focus on colorectal cancer (CRC) screening to illustrate the principles of screening program assessment. The International Agency for Research on Cancer (IARC) has defined organized screening, distinguishing it from opportunistic screening. The key advantage of organized screening is that it provides greater protection against the possible harms of screening. Since screening is a process, not simply a test, the effectiveness of a program depends on the quality of each step in the cancer screening process. The evaluation of long-term screening program outcomes (CRC incidence and mortality) will not be observable for many years, given the time it takes to plan, pilot and implement a program. However, early performance indicators of the impact of screening should be monitored to give an early indication whether the program is on track. The European Union (EU) has recommended a minimum dataset to be collected and reported regularly by a screening program. Using information from these data tables, early performance indicators can be generated (e.g., participation rate, proportion of screen-detected cancers that are early-stage). Subsequently, modeling the natural history of the disease can be very helpful to estimate long-term outcomes, making use of these directly measured early performance indicators. Modeling can also be used to estimate the cost-effectiveness of a screening program and the potential impact of changes in policy, as illustrated by its recent use in the Netherlands to change the definition of a positive fecal immunochemical test (FIT) for the CRC screening program. Programs should consider modeling as an important component of screening program evaluation.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer screening; Cancer screening evaluation; Colorectal cancer screening; Modeling

Mesh:

Year:  2015        PMID: 26651258     DOI: 10.1016/j.bpg.2015.09.009

Source DB:  PubMed          Journal:  Best Pract Res Clin Gastroenterol        ISSN: 1521-6918            Impact factor:   3.043


  6 in total

1.  High Mortality Rate of Stomach Cancer Caused Not by Highzzm321990Incidence but Delays in Diagnosis in Aomori Prefecture, Japan

Authors:  Masashi Matsuzaka; Rina Tanaka; Yoshihiro Sasaki
Journal:  Asian Pac J Cancer Prev       Date:  2016-10-01

Review 2.  Which Fecal Immunochemical Test Should I Choose?

Authors:  Jeanette M Daly; Yinghui Xu; Barcey T Levy
Journal:  J Prim Care Community Health       Date:  2017-04-27

3.  Brand interchangeability of pepsinogen tests in the real-world setting after eradication of Helicobacter pylori: a community-based study.

Authors:  Tsung-Hsien Chiang; Yen-Nien Chen; Yi-Ru Chen; Yu-Hua Tseng; Chun-Fu Shieh; Cheng-Ying Liu; Han-Mo Chiu; Hung Chiang; Chia-Tung Shun; Ming-Shiang Wu; Jaw-Town Lin; Yi-Chia Lee
Journal:  BMC Gastroenterol       Date:  2022-02-18       Impact factor: 3.067

4.  Risk factors and prediction algorithm for advanced neoplasia on screening colonoscopy for average-risk individuals.

Authors:  Offir Ukashi; Barak Pflantzer; Yiftach Barash; Eyal Klang; Shlomo Segev; Doron Yablecovitch; Uri Kopylov; Shomron Ben-Horin; Ido Laish
Journal:  Therap Adv Gastroenterol       Date:  2022-06-30       Impact factor: 4.802

5.  Cost-effectiveness and budget impact analyses of a colorectal cancer screening programme in a high adenoma prevalence scenario using MISCAN-Colon microsimulation model.

Authors:  Arantzazu Arrospide; Isabel Idigoras; Javier Mar; Harry de Koning; Miriam van der Meulen; Myriam Soto-Gordoa; Jose Miguel Martinez-Llorente; Isabel Portillo; Eunate Arana-Arri; Oliver Ibarrondo; Iris Lansdorp-Vogelaar
Journal:  BMC Cancer       Date:  2018-04-25       Impact factor: 4.430

6.  Effects of screening and universal healthcare on long-term colorectal cancer mortality.

Authors:  Yi-Chia Lee; Chen-Yang Hsu; Sam Li-Sheng Chen; Amy Ming-Fang Yen; Sherry Yueh-Hsia Chiu; Jean Ching-Yuan Fann; Shu-Lin Chuang; Wen-Feng Hsu; Tsung-Hsien Chiang; Han-Mo Chiu; Ming-Shiang Wu; Hsiu-Hsi Chen
Journal:  Int J Epidemiol       Date:  2019-04-01       Impact factor: 7.196

  6 in total

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