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1. Proximity to overhead power lines and childhood leukaemia: an international pooled analysis

Author

Amoon, Aryana T, Crespi, Catherine M, Ahlbom, Anders, Bhatnagar, Megha, Bray, Isabelle, Bunch, Kathryn J, Clavel, Jacqueline, Feychting, Maria, Hémon, Denis, Johansen, Christoffer, Kreis, Christian, Malagoli, Carlotta, Marquant, Fabienne, Pedersen, Camilla, Raaschou-Nielsen, Ole, Röösli, Martin, Spycher, Ben D, Sudan, Madhuri, Swanson, John, Tittarelli, Andrea, Tuck, Deirdre M, Tynes, Tore, Vergara, Ximena, Vinceti, Marco, Wünsch-Filho, Victor, and Kheifets, Leeka

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Pediatric, 2.1 Biological and endogenous factors, Aetiology, Adolescent, Child, Child, Preschool, Electric Power Supplies, Environmental Exposure, Female, Humans, Infant, Infant, Newborn, Leukemia, Magnetic Fields, Male, Residence Characteristics, Risk Factors, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundAlthough studies have consistently found an association between childhood leukaemia risk and magnetic fields, the associations between childhood leukaemia and distance to overhead power lines have been inconsistent. We pooled data from multiple studies to assess the association with distance and evaluate whether it is due to magnetic fields or other factors associated with distance from lines.MethodsWe present a pooled analysis combining individual-level data (29,049 cases and 68,231 controls) from 11 record-based studies.ResultsThere was no material association between childhood leukaemia and distance to nearest overhead power line of any voltage. Among children living

Published
2018

13. Road Traffic and Childhood Leukemia: The ESCALE Study (SFCE)

Author

Amigou, Alicia, Sermage-Faure, Claire, Orsi, Laurent, Leverger, Guy, Baruchel, André, Bertrand, Yves, Nelken, Brigitte, Robert, Alain, Michel, Gérard, Margueritte, Geneviève, Perel, Yves, Mechinaud, Françoise, Bordigoni, Pierre, Hémon, Denis, and Clavel, Jacqueline

Published
2011

14. Additional file 3 of Residential proximity to croplands at birth and childhood leukaemia

Author

Bamouni, Sophie, Hémon, Denis, Faure, Laure, Clavel, Jacqueline, and Goujon, Stéphanie

Abstract

Additional file 3: Additional Table 1. Association between the incidence rate of childhood acute lymphoblastic leukaemia and three potential ecological confounders characterising the municipality of residence at birth: size of urban unit, residential UV radiation exposure, and a socioeconomic deprivation index (RNCE, 1990–2015).

Published
2022
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15. Additional file 4 of Residential proximity to croplands at birth and childhood leukaemia

Author

Bamouni, Sophie, Hémon, Denis, Faure, Laure, Clavel, Jacqueline, and Goujon, Stéphanie

Abstract

Additional file 4: Additional Table 2. Distribution of the at-risk population a over 1990-2015 by category of crop density and potential confounding factor stratum (size of urban unit, residential UV radiation exposure, and a French deprivation index), children born in 1990-2015, mainland France.

Published
2022
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16. Additional file 5 of Residential proximity to croplands at birth and childhood leukaemia

Author

Bamouni, Sophie, Hémon, Denis, Faure, Laure, Clavel, Jacqueline, and Goujon, Stéphanie

Abstract

Additional file 5: Additional Table 3. Association between AL incidence rate and crop densitya in municipalities of residence at birth with restriction to municipalities situated outside of the Paris urban unit, and municipalities in urban units with a population of less than 100,000, mainland France, RNCE, 1990–2015.

Published
2022
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34. Leukaemia near La Hague Nuclear Plant

Author

Clavel, Jacqueline, Hémon, Denis, Law, Graham, Roman, Eve, Wakeford, Richard, Barton, Carol, Ryder, Hilary, Hesse-Honegger, Cornelia, and Viel, Jean-François

Published
1997

37. Spatial and temporal variations of childhood cancers: Literature review and contribution of the French national registry

Author

Goujon, Stéphanie, Kyrimi, Evangelia, Faure, Laure, Guissou, Sandra, Hémon, Denis, Lacour, Brigitte, and Clavel, Jacqueline

Subjects
Male, child, cancer/epidemiology, spatial analysis, Incidence, time factors, Spatio-Temporal Analysis, Neoplasms, Cluster Analysis, Humans, Female, France, Registries, Cancer Prevention, Original Research, child, preschool
Abstract

Background Significant increases in childhood cancer incidence since the 1970s have been consistently reported worldwide, but the persistence of the increase on recent periods is discussed. No conclusion can be drawn concerning the spatial variations of childhood cancer, either. This study is an in‐depth investigation of the spatial and temporal variations of childhood cancer in France. An extensive review of all the studies published since 2000 on those issues is provided. Methods The study included 25 877 cases of childhood cancer registered nationwide over 2000‐2014. The spatial heterogeneity (overdispersion, autocorrelation, overall heterogeneity) was tested, on two geographic scales, and two spatial scan methods were used to detect clusters of cases. The annual average percent change (AAPC) in incidence rate was estimated with Poisson regression models, and joinpoint analyses were considered. Results Glioma and non‐Hodgkin lymphoma cases exhibited some spatial heterogeneity and two large clusters were detected. Overall, the incidence rate of childhood cancer was stable over 2000‐2014 (AAPC = −0.1% [−0.3%; 0.2%]). A log‐linear positive trend was significantly evidenced for gliomas other than pilocytic astrocytomas (AAPC = 1.8% [0.9%; 2.7%]), with some suggestion of a leveling‐off at the end of the period, while Burkitt lymphoma and germ cell tumor incidence rates decreased (AAPC = −2.2% [−3.8%; −0.5%] and AAPC = −1.9% [−3.4%; −0.3%], respectively). No spatial heterogeneity or significant time variation was evidenced for other cancers. Conclusion Several types of childhood cancer displayed some spatial heterogeneity and two large clusters were detected, the origins of which are to be investigated and might include differences in case ascertainment. Overall, the results do not support a sustained increase in incidence rates of childhood cancer in recent years.

Published
2018

39. Data Resource Profile: The French Childhood Cancer Observation Platform (CCOP)

Author

Poulalhon, Claire, primary, Vignon, Lucie, additional, Idbrik, Latifa, additional, Bernier-Chastagner, Valérie, additional, Fabre, Monique, additional, Schleiermacher, Gudrun, additional, Dijoud, Frédérique, additional, Perrin, Corinne, additional, Varlet, Pascale, additional, Faure, Laure, additional, Guissou, Sandra, additional, Désandes, Emmanuel, additional, Hémon, Denis, additional, Berger, Claire, additional, Lacour, Brigitte, additional, and Clavel, Jacqueline, additional

Published
2020
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41. Vaccination and the risk of childhood acute leukaemia: the ESCALE study (SFCE†)

Author

Mallol-Mesnard, Nathalie, Menegaux, Florence, Auvrignon, Anne, Auclerc, Marie-Françoise, Bertrand, Yves, Nelken, Brigitte, Robert, Alain, Michel, Gérard, Margueritte, Geneviève, Perel, Yves, Méchinaud, Françoise, Bordigoni, Pierre, Leverger, Guy, Baruchel, André, Hémon, Denis, and Clavel, Jacqueline

Published
2007

49. Proximity to overhead power lines and childhood leukaemia: an international pooled analysis

Author

Amoon, Aryana T., Crespi, Catherine M., Ahlbom, Anders, Bhatnagar, Megha, Bray, Isabelle, Bunch, Kathryn J., Clavel, Jacqueline, Feychting, Maria, Hemon, D, Johansen, Christoffer, Kreis, Christian, Malagoli, Carlotta, Marquant, Fabienne, Pederson, C, Raaschou-Nielsen, Ole, Röösli, Martin, Spycher, Ben D., Sudan, Madhuri, Swanson, John, Tittarelli, Andrea, Tuck, Deirdre M., Tynes, Tore, Vergara, Ximena, Vinceti, Marco, Wünsch-Filho, Victor, Kheifets, Leeka, Hémon, Denis, and Pedersen, Camilla

Subjects
Formerly Health & Social Sciences, Centre for Public Health and Wellbeing, power lines, childhood leukaemia, electro-magnetic fields, meta-analysis
Abstract

© 2018, Cancer Research UK. Background: Although studies have consistently found an association between childhood leukaemia risk and magnetic fields, the associations between childhood leukaemia and distance to overhead power lines have been inconsistent. We pooled data from multiple studies to assess the association with distance and evaluate whether it is due to magnetic fields or other factors associated with distance from lines. Methods: We present a pooled analysis combining individual-level data (29,049 cases and 68,231 controls) from 11 record-based studies. Results: There was no material association between childhood leukaemia and distance to nearest overhead power line of any voltage. Among children living < 50 m from 200 + kV power lines, the adjusted odds ratio for childhood leukaemia was 1.33 (95% CI: 0.92–1.93). The odds ratio was higher among children diagnosed before age 5 years. There was no association with calculated magnetic fields. Odds ratios remained unchanged with adjustment for potential confounders. Conclusions: In this first comprehensive pooled analysis of childhood leukaemia and distance to power lines, we found a small and imprecise risk for residences < 50 m of 200 + kV lines that was not explained by high magnetic fields. Reasons for the increased risk, found in this and many other studies, remains to be elucidated.

Published
2018

50. Detection of clusters of a rare disease over a large territory: performance of cluster detection methods

Author

Demoury Claire, Goujon-Bellec Stéphanie, Guyot-Goubin Aurélie, Hémon Denis, and Clavel Jacqueline

Subjects
Power, Cluster detection, Rare disease, Leukemia, Large scale, Spatial scan methods, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Abstract Background For many years, the detection of clusters has been of great public health interest. Several detection methods have been developed, the most famous of which is the circular scan method. The present study, which was conducted in the context of a rare disease distributed over a large territory (7675 cases registered over 17 years and located in 1895 units), aimed to evaluate the performance of several of the methods in realistic hot-spot cluster situations. Methods All the methods considered aim to identify the most likely cluster area, i.e. the zone that maximizes the likelihood ratio function, among a set of cluster candidates. The circular and elliptic scan methods were developed to detect regularly shaped clusters. Four other methods that focus on irregularly shaped clusters were also considered (the flexible scan method, the genetic algorithm method, and the double connected and maximum linkage spatial scan methods). The power of the methods was evaluated via Monte Carlo simulations under 27 alternative scenarios that corresponded to three cluster population sizes (20, 45 and 115 expected cases), three cluster shapes (linear, U-shaped and compact) and three relative risk values (1.5, 2.0 and 3.0). Results Three situations emerged from this power study. All the methods failed to detect the smallest clusters with a relative risk lower than 3.0. The power to detect the largest cluster with relative risk of 1.5 was markedly better for all methods, but, at most, half of the true cluster was captured. For other clusters, either large or with the highest relative risk, the standard elliptic scan method appeared to be the best method to detect linear clusters, while the flexible scan method localized the U-shaped clusters more precisely than other methods. Large compact clusters were detected well by all methods, with better results for the circular and elliptic scan methods. Conclusions The elliptic scan method and flexible scan method seemed the most able to detect clusters of a rare disease in a large territory. However, the probability of detecting small clusters with relative risk lower than 3.0 remained low with all the methods tested.

Published
2011
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