ArticleEnvironmental health : a global access science source2011
Spatial-temporal analysis of non-Hodgkin lymphoma in the NCI-SEER NHL case-control study.
Article in Environmental health : a global access science source, 2011. 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
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.
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.
Who cites it
23 citing papers in PubMed.
- Assessing and attenuating the impact of selection bias on spatial cluster detection studies.Spatial and spatio-temporal epidemiology · 2024Article
- Utilizing residential histories to assess environmental exposure and socioeconomic status over the life course among mesothelioma patients.Journal of thoracic disease · 2023Article
- Modeling historic neighborhood deprivation and non-Hodgkin lymphoma risk.Environmental research · 2023Article
- Mitochondrial DNA Fragmentation and Risk of Non-Hodgkin Lymphoma.JAMA network open · 2023Article
- Modeling historic environmental pollutant exposures and non-Hodgkin lymphoma risk.Environmental research · 2023Article
- Neighborhood Deprivation, Indoor Chemical Concentrations, and Spatial Risk for Childhood Leukemia.International journal of environmental research and public health · 2023Article
- Utilizing Residential History to Examine Heterogeneous Exposure Trajectories: A Latent Class Mixed Modeling Approach Applied to Mesothelioma Patients.Journal of registry management · 2023Article
- Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low-rank kriging multiple membership model.Statistics in medicine · 2022Article
- The timing of geographic power.Statistics in medicine · 2020Article
- Incidence and mortality trends and geographic patterns of follicular lymphoma in Canada.Current oncology (Toronto, Ont.) · 2019Article
- Childhood cancer in small geographical areas and proximity to air-polluting industries.Environmental research · 2017Article
- Relations Between Residential Proximity to EPA-Designated Toxic Release Sites and Diffuse Large B-Cell Lymphoma Incidence.Southern medical journal · 2016Article
- Spatial Heterogeneity of Habitat Suitability for Rift Valley Fever Occurrence in Tanzania: An Ecological Niche Modelling Approach.PLoS neglected tropical diseases · 2016Article
- Spatial measurement errors in the field of spatial epidemiology.International journal of health geographics · 2016Article
- Analysis of Environmental Chemical Mixtures and Non-Hodgkin Lymphoma Risk in the NCI-SEER NHL Study.Environmental health perspectives · 2015Article
- Assessment of Residential History Generation Using a Public-Record Database.International journal of environmental research and public health · 2015Article
- Investigation of spatio-temporal cancer clusters using residential histories in a case-control study of non-Hodgkin lymphoma in the United States.Environmental health : a global access science source · 2015Article
- Assessment of weighted quantile sum regression for modeling chemical mixtures and cancer risk.Cancer informatics · 2015Article
- Evaluation of the performance of smoothing functions in generalized additive models for spatial variation in disease.Cancer informatics · 2015Article
- Space-time clustering of non-hodgkin lymphoma using residential histories in a Danish case-control study.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundExploring spatial-temporal patterns of disease incidence through cluster analysis identifies areas of significantly elevated or decreased risk, providing potential clues about disease risk factors. Little is known about the etiology of non-Hodgkin lymphoma (NHL), or the latency period that might be relevant for environmental exposures, and there are no published spatial-temporal cluster studies of NHL.
methodsWe conducted a population-based case-control study of NHL in four National Cancer Institute (NCI)-Surveillance, Epidemiology, and End Results (SEER) centers: Detroit, Iowa, Los Angeles, and Seattle during 1998-2000. Using 20-year residential histories, we used generalized additive models adjusted for known risk factors to model spatially the probability that an individual had NHL and to identify clusters of elevated or decreased NHL risk. We evaluated models at five different time periods to explore the presence of clusters in a time frame of etiologic relevance.
resultsThe best model fit was for residential locations 20 years prior to diagnosis in Detroit, Iowa, and Los Angeles. We found statistically significant areas of elevated risk of NHL in three of the four study areas (Detroit, Iowa, and Los Angeles) at a lag time of 20 years. The two areas of significantly elevated risk in the Los Angeles study area were detected only at a time lag of 20 years. Clusters in Detroit and Iowa were detected at several time points.
conclusionsWe found significant spatial clusters of NHL after allowing for disease latency and residential mobility. Our results show the importance of evaluating residential histories when studying spatial patterns of cancer.
Indexed as
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.