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Population-based cancer survival in the United States : Data, quality control, and statistical methods

Allemani, Claudia ; Harewood, Rhea ; Johnson, Christopher J ; Carreira, Helena ; Spika, Devon LU ; Bonaventure, Audrey ; Ward, Kevin ; Weir, Hannah K and Coleman, Michel P (2017) In Cancer 123 Suppl 24. p.4982-4993
Abstract

BACKGROUND: Robust comparisons of population-based cancer survival estimates require tight adherence to the study protocol, standardized quality control, appropriate life tables of background mortality, and centralized analysis. The CONCORD program established worldwide surveillance of population-based cancer survival in 2015, analyzing individual data on 26 million patients (including 10 million US patients) diagnosed between 1995 and 2009 with 1 of 10 common malignancies.

METHODS: In this Cancer supplement, we analyzed data from 37 state cancer registries that participated in the second cycle of the CONCORD program (CONCORD-2), covering approximately 80% of the US population. Data quality checks were performed in 3 consecutive... (More)

BACKGROUND: Robust comparisons of population-based cancer survival estimates require tight adherence to the study protocol, standardized quality control, appropriate life tables of background mortality, and centralized analysis. The CONCORD program established worldwide surveillance of population-based cancer survival in 2015, analyzing individual data on 26 million patients (including 10 million US patients) diagnosed between 1995 and 2009 with 1 of 10 common malignancies.

METHODS: In this Cancer supplement, we analyzed data from 37 state cancer registries that participated in the second cycle of the CONCORD program (CONCORD-2), covering approximately 80% of the US population. Data quality checks were performed in 3 consecutive phases: protocol adherence, exclusions, and editorial checks. One-, 3-, and 5-year age-standardized net survival was estimated using the Pohar Perme estimator and state- and race-specific life tables of all-cause mortality for each year. The cohort approach was adopted for patients diagnosed between 2001 and 2003, and the complete approach for patients diagnosed between 2004 and 2009.

RESULTS: Articles in this supplement report population coverage, data quality indicators, and age-standardized 5-year net survival by state, race, and stage at diagnosis. Examples of tables, bar charts, and funnel plots are provided in this article.

CONCLUSIONS: Population-based cancer survival is a key measure of the overall effectiveness of services in providing equitable health care. The high quality of US cancer registry data, 80% population coverage, and use of an unbiased net survival estimator ensure that the survival trends reported in this supplement are robustly comparable by race and state. The results can be used by policymakers to identify and address inequities in cancer survival in each state and for the United States nationally. Cancer 2017;123:4982-93. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.

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; ; ; ; ; ; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Data Accuracy, Humans, Neoplasms/mortality, Public Health Surveillance, Quality Control, Statistics as Topic, United States/epidemiology
in
Cancer
volume
123 Suppl 24
pages
12 pages
publisher
John Wiley and Sons
external identifiers
  • scopus:85037620929
  • pmid:29205302
ISSN
1097-0142
DOI
10.1002/cncr.31025
language
English
LU publication?
no
additional info
This article is a U.S. Government work and is in the public domain in the USA.
id
add9f202-96b9-4977-9477-ef4884904e19
date added to LUP
2019-06-10 13:33:20
date last changed
2021-03-24 01:49:53
@article{add9f202-96b9-4977-9477-ef4884904e19,
  abstract     = {<p>BACKGROUND: Robust comparisons of population-based cancer survival estimates require tight adherence to the study protocol, standardized quality control, appropriate life tables of background mortality, and centralized analysis. The CONCORD program established worldwide surveillance of population-based cancer survival in 2015, analyzing individual data on 26 million patients (including 10 million US patients) diagnosed between 1995 and 2009 with 1 of 10 common malignancies.</p><p>METHODS: In this Cancer supplement, we analyzed data from 37 state cancer registries that participated in the second cycle of the CONCORD program (CONCORD-2), covering approximately 80% of the US population. Data quality checks were performed in 3 consecutive phases: protocol adherence, exclusions, and editorial checks. One-, 3-, and 5-year age-standardized net survival was estimated using the Pohar Perme estimator and state- and race-specific life tables of all-cause mortality for each year. The cohort approach was adopted for patients diagnosed between 2001 and 2003, and the complete approach for patients diagnosed between 2004 and 2009.</p><p>RESULTS: Articles in this supplement report population coverage, data quality indicators, and age-standardized 5-year net survival by state, race, and stage at diagnosis. Examples of tables, bar charts, and funnel plots are provided in this article.</p><p>CONCLUSIONS: Population-based cancer survival is a key measure of the overall effectiveness of services in providing equitable health care. The high quality of US cancer registry data, 80% population coverage, and use of an unbiased net survival estimator ensure that the survival trends reported in this supplement are robustly comparable by race and state. The results can be used by policymakers to identify and address inequities in cancer survival in each state and for the United States nationally. Cancer 2017;123:4982-93. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.</p>},
  author       = {Allemani, Claudia and Harewood, Rhea and Johnson, Christopher J and Carreira, Helena and Spika, Devon and Bonaventure, Audrey and Ward, Kevin and Weir, Hannah K and Coleman, Michel P},
  issn         = {1097-0142},
  language     = {eng},
  month        = {12},
  pages        = {4982--4993},
  publisher    = {John Wiley and Sons},
  series       = {Cancer},
  title        = {Population-based cancer survival in the United States : Data, quality control, and statistical methods},
  url          = {http://dx.doi.org/10.1002/cncr.31025},
  doi          = {10.1002/cncr.31025},
  volume       = {123 Suppl 24},
  year         = {2017},
}