Evidence map›Paper›PMID 25756204›Full record

ArticlePloS one2015

Space-time analysis of testicular cancer clusters using residential histories: a case-control study in Denmark.

Chantel D Sloan, Rikke B Nordsborg, Geoffrey M Jacquez, Ole Raaschou-Nielsen, Jaymie R Meliker

Abstract read
In one paragraph

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Ambient UVR and Environmental Arsenic Exposure in Relation to Cutaneous Melanoma in Iowa.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Article
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

5 authors.

Chantel D SloanDepartment of Preventive Medicine, Stony Brook University, Stony Brook, New York, United States of America; Department of Health Science, Brigham Young University, Provo, Utah, United States of America.
Rikke B NordsborgDanish Cancer Society Research Center, Copenhagen, Denmark.
Geoffrey M JacquezBioMedware, Inc., Ann Arbor, Michigan, United States of America; Department of Geography, State University of New York at Buffalo, Buffalo, New York, United States of America.
Ole Raaschou-NielsenDanish Cancer Society Research Center, Copenhagen, Denmark.
Jaymie R MelikerDepartment of Preventive Medicine, Stony Brook University, Stony Brook, New York, United States of America; Program in Public Health, Stony Brook University, Stony Brook, New York, United States of America.

Funding

Case-only Cancer Clustering for Mobile PopulationsR44CA135818 · NCI · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2009 to 2010
$878k
Cancer Cluster MorphologyR44CA112743 · NCI · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2008 to 2009
$750k
Space-Time Clustering of Testicular Cancer Using Residential HistoriesR21ES015501 · NIEHS · BIOMEDWARE · PI JACQUEZ, GEOFFREY M. · 2007 to 2008
$355k
Space-Time Clustering of Non-Hodgkin's Lymphoma Using Residential HistoriesR03CA125827 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI MELIKER, JAYMIE R · 2008 to 2009
$169k
NCI NIH HHS 5R44CA112743-03NCI NIH HHS 5R44CA135818-03NCI NIH HHS R03 CA125827NCI NIH HHS R44 CA112743NCI NIH HHS R44 CA135818NIEHS NIH HHS R21 ES015501
6 · The paper itself

Abstract

Though the etiology is largely unknown, testicular cancer incidence has seen recent significant increases in northern Europe and throughout many Western regions. The most common cancer in males under age 40, age period cohort models have posited exposures in the in utero environment or in early childhood as possible causes of increased risk of testicular cancer. Some of these factors may be tied to geography through being associated with behavioral, cultural, sociodemographic or built environment characteristics. If so, this could result in detectable geographic clusters of cases that could lead to hypotheses regarding environmental targets for intervention. Given a latency period between exposure to an environmental carcinogen and testicular cancer diagnosis, mobility histories are beneficial for spatial cluster analyses. Nearest-neighbor based Q-statistics allow for the incorporation of changes in residency in spatial disease cluster detection. Using these methods, a space-time cluster analysis was conducted on a population-wide case-control population selected from the Danish Cancer Registry with mobility histories since 1971 extracted from the Danish Civil Registration System. Cases (N=3297) were diagnosed between 1991 and 2003, and two sets of controls (N=3297 for each set) matched on sex and date of birth were included in the study. We also examined spatial patterns in maternal residential history for those cases and controls born in 1971 or later (N= 589 case-control pairs). Several small clusters were detected when aligning individuals by year prior to diagnosis, age at diagnosis and calendar year of diagnosis. However, the largest of these clusters contained only 2 statistically significant individuals at their center, and were not replicated in SaTScan spatial-only analyses which are less susceptible to multiple testing bias. We found little evidence of local clusters in residential histories of testicular cancer cases in this Danish population.

Indexed as

AdultCase-Control StudiesDenmarkHumansIncidenceMaleNeoplasms, Germ Cell and EmbryonalProportional Hazards ModelsSeminomaSpace-Time ClusteringSpatio-Temporal AnalysisTesticular Neoplasms

Identifiers

PMID25756204
PMCPMC4355495

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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.