ArticleInternational journal of health geographics2005
A space-time analysis of the proportion of late stage breast cancer in Massachusetts, 1988 to 1997.
Article in International journal of health geographics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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.
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Who cites it
23 citing papers in PubMed, 52 citations in OpenAlex.
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- A space-time analysis of disparities in age at diagnosis of autism spectrum disorder: environmental and socioeconomic risk factors.Journal of environmental health science & engineering · 2021Article
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- Space-time Analysis of Breast Cancer and Its Late-stage Cases among Iranian Women.Iranian journal of public health · 2017Article
- Spatial variation and hot-spots of district level diarrhea incidences in Ghana: 2010-2014.BMC public health · 2017Article
- Pulmonary tuberculosis space-time clustering and spatial variation in temporal trends in Portugal, 2000-2010: an updated analysis.Epidemiology and infection · 2015Article
- Spatio-temporal epidemiology of hand, foot and mouth disease in Liaocheng City, North China.Experimental and therapeutic medicine · 2015Article
- Spatial clustering of physical activity and obesity in relation to built environment factors among older women in three U.S. states.BMC public health · 2014Article
- Relative risk estimates from spatial and space-time scan statistics: are they biased?Statistics in medicine · 2014Article
- Analysis of geographical disparities in temporal trends of health outcomes using space-time joinpoint regression.International journal of applied earth observation and geoinformation : ITC journal · 2013Article
- Significance of increasing poverty levels for determining late-stage breast cancer diagnosis in 1990 and 2000.Journal of urban health : bulletin of the New York Academy of Medicine · 2012Article
- Breast cancer stage at diagnosis and area-based socioeconomic status: a multicenter 10-year retrospective clinical epidemiological study in China.BMC cancer · 2012Article
- Incidence analyses and space-time cluster detection of hepatitis C in Fujian Province of China from 2006 to 2010.PloS one · 2012Article
- An eight-year snapshot of geospatial cancer research (2002-2009): clinico-epidemiological and methodological findings and trends.Medical oncology (Northwood, London, England) · 2011Review
- Rural - urban inequalities in late-stage breast cancer: spatial and social dimensions of risk and access.Environment and planning. B, Planning & design · 2011Article
- Gumbel based p-value approximations for spatial scan statistics.International journal of health geographics · 2010Article
- Healthcare access, socioeconomic factors and late-stage cancer diagnosis: an exploratory spatial analysis and public policy implication.International journal of public policy · 2010Article
- Article
- Characteristics of mammography facility locations and stage of breast cancer at diagnosis in Chicago.Journal of urban health : bulletin of the New York Academy of Medicine · 2009Article
- Racial and geographic differences in mammography screening in St. Louis City: a multilevel study.Journal of urban health : bulletin of the New York Academy of Medicine · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEarly detection is the best way to control breast cancer. This observational epidemiologic study uses ten years of data, 1988-1997, to determine whether the observed variations in the proportion of breast cancers diagnosed at late stage are simply random or are statistically significant with respect to both geographical location and time.
resultsA total of three spatial-temporal areas were found to deviate significantly from randomness in the unadjusted analysis; one of the three areas contained statistically significant excesses in proportion of late stage, while two areas were identified as significantly lower than expected. The area of excess spanned the first three years of the study period, while the low areas spanned the last five years of the study period. Some of these areas were no longer statistically significant when adjustments were made for SES and urban/rural status.
conclusionAlthough there was an area of excess in eastern Massachusetts, it only spanned the first three years of the study period. The low areas were fairly consistent, spanning the last five years of the study period.
Identifiers
What OpenQuestion holds
Registered trials
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.