ArticlePloS one2015
Spatial analysis of childhood cancer: a case/control study.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 32 citations in OpenAlex.
- Looking Towards 2030: Strengthening the Environmental Health in Childhood-Adolescent Cancer Survivor Programs.International journal of environmental research and public health · 2022Article
- Assessment of Pediatric Cancer and Its Relationship to Environmental Contaminants: An Ecological Study in Idaho.GeoHealth · 2022Article
- Clustering of non-leukemia childhood cancer in Colombia: a nationwide study.F1000Research · 2021Article
- Childhood Leukemia in Small Geographical Areas and Proximity to Industrial Sources of Air Pollutants in Three Colombian Cities.International journal of environmental research and public health · 2020Article
- Spatial-Temporal Cluster Analysis of Childhood Cancer in California.Epidemiology (Cambridge, Mass.) · 2020Article
- Primary Immunodeficiencies in a Mesoregion of São Paulo, Brazil: Epidemiologic, Clinical, and Geospatial Approach.Frontiers in immunology · 2020Article
- Identifying high-risk areas for nonfatal opioid overdose: a spatial case-control study using EMS run data.Annals of epidemiology · 2019Article
- Methodological approaches to the study of cancer risk in the vicinity of pollution sources: the experience of a population-based case-control study of childhood cancer.International journal of health geographics · 2019Article
- Spatial and temporal variations of childhood cancers: Literature review and contribution of the French national registry.Cancer medicine · 2018Review
- Childhood cancer in small geographical areas and proximity to air-polluting industries.Environmental research · 2017Article
- Spatial identification of potential health hazards: a systematic areal search approach.International journal of health geographics · 2017Article
- Risk factors for central nervous system tumors in children: New findings from a case-control study.PloS one · 2017Article
- Epidemiology of pertussis in two Ibero-American countries with different vaccination policies: lessons derived from different surveillance systems.BMC public health · 2016Article
- Agricultural crop exposure and risk of childhood cancer: new findings from a case-control study in Spain.International journal of health geographics · 2016Article
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 at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChildhood cancer was the leading cause of death among children aged 1-14 years for 2012 in Spain. Leukemia has the highest incidence, followed by tumors of the central nervous system (CNS) and lymphomas (Hodgkin lymphoma, HL, and Non-Hodgkin's lymphoma, NHL). Spatial distribution of childhood cancer cases has been under concern with the aim of identifying potential risk factors.
objectiveThe two objectives are to study overall spatial clustering and cluster detection of cases of the three main childhood cancer causes, looking to increase etiological knowledge.
methodsWe ran a case-control study. The cases were children aged 0 to 14 diagnosed with leukemia, lymphomas (HL and NHL) or CNS neoplasm in five Spanish regions for the period 1996-2011. As a control group, we used a sample from the Birth Registry matching every case by year of birth, autonomous region of residence and sex with six controls. We geocoded and validated the address of the cases and controls. For our two objectives we used two different methodologies. For the first, for overall spatial clustering detection, we used the differences of K functions from the spatial point patterns perspective proposed by Diggle and Chetwynd and the second, for cluster detection, we used the spatial scan statistic proposed by Kulldorff with a level for statistical significance of 0.05.
resultsWe had 1062 cases of leukemia, 714 cases of CNS, 92 of HL and 246 of NHL. Accordingly we had 6 times the number of controls, 6372 controls for leukemia, 4284 controls for CNS, 552 controls for HL and 1476 controls for NHL. We found variations in the estimated empirical D(s) for the different regions and cancers, including some overall spatial clustering for specific regions and distances. We did not find statistically significant clusters.
conclusionsThe variations in the estimated empirical D(s) for the different regions and cancers could be partially explained by the differences in the spatial distribution of the population; however, according to the literature, we cannot discard environmental hazards or infections agents in the etiology of these cancers.
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.