Evidence map›Paper›PMID 19627576›Full record

ArticleInternational journal of health geographics2009

Geographic disparities in colorectal cancer survival.

Kevin A Henry, Xiaoling Niu, Francis P Boscoe

Abstract readComparative Study
In one paragraph

Article in International journal of health geographics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. A Shared-Frailty Spatial Scan Statistic Model for Time-to-Event Data.Biometrical journal. Biometrische Zeitschrift · 2024
    Article
  7. Article
  8. Small-Area Geographic and Socioeconomic Inequalities in Colorectal Cancer in Cyprus.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Spatial Variation of Survival for Colorectal Cancer in Malaysia.International journal of environmental research and public health · 2021
    Article
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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

3 authors.

Kevin A HenryNew Jersey Department of Health & Senior Services, New Jersey State Cancer Registry, Cancer Epidemiology Services, Trenton, New Jersey, USA. kevin.henry@doh.state.nj.us
Xiaoling Niu
Francis P Boscoe

Funding

NPCR-ENHANCEMENT OF EXISTING CANCER REGISTRY NBCCEDP-PROVIDE BREAST $ CERVICAL CAU58DP000808 · DP · NEW JERSEY STATE DEPT/HEALTH/SENIOR SRVS · PI RODRIGUEZ, GLORIA · 2007 to 2011
$21.1M
NCCDPHP CDC HHS U58 DP000808NCCDPHP CDC HHS U58/DP000808NCI NIH HHS N01 PC054405NCI NIH HHS N01-PC-54405PHS HHS HHSN261200544005C
6 · The paper itself

Abstract

backgroundExamining geographic variation in cancer patient survival can help identify important prognostic factors that are linked by geography and generate hypotheses about the underlying causes of survival disparities. In this study, we apply a recently developed spatial scan statistic method, designed for time-to-event data, to determine whether colorectal cancer (CRC) patient survival varies by place of residence after adjusting survival times for several prognostic factors.

methodsUsing data from a population-based, statewide cancer registry, we examined a cohort of 25,040 men and women from New Jersey who were newly diagnosed with local or regional stage colorectal cancer from 1996 through 2003 and followed to the end of 2006. Survival times were adjusted for significant prognostic factors (sex, age, stage at diagnosis, race/ethnicity and census tract socioeconomic deprivation) and evaluated using a spatial scan statistic to identify places where CRC survival was significantly longer or shorter than the statewide experience.

resultsAge, sex and stage adjusted survival times revealed several areas in the northern part of the state where CRC survival was significantly different than expected. The shortest and longest survival areas had an adjusted 5-year survival rate of 73.1% (95% CI 71.5, 74.9) and 88.3% (95% CI 85.4, 91.3) respectively, compared with the state average of 80.0% (95% CI 79.4, 80.5). Analysis of survival times adjusted for age, sex and stage as well as race/ethnicity and area socioeconomic deprivation attenuated the risk of death from CRC in several areas, but survival disparities persisted.

conclusionThe results suggest that in areas where additional adjustments for race/ethnicity and area socioeconomic deprivation changed the geographic survival patterns and reduced the risk of death from CRC, the adjustment factors may be contributing causes of the disparities. Further studies should focus on specific and modifiable individual and neighborhood factors in the high risk areas that may affect a person's chance of surviving cancer.

Indexed as

DemographyHealth Status DisparitiesAgedAged, 80 and overCohort StudiesColorectal NeoplasmsFemaleHumansMaleMiddle AgedNew JerseyRegistriesRisk FactorsSocioeconomic FactorsSurvival Rate

Identifiers

PMID19627576
PMCPMC2724436

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.