Evidence map›Paper›PMID 31596791›Full record

ArticleEpidemiology (Cambridge, Mass.)2020

Spatial-Temporal Cluster Analysis of Childhood Cancer in California.

Stephen Starko Francis, Catherine Enders, Rebecca Hyde, Xing Gao, Rong Wang, Xiaomei Ma, Joseph L Wiemels, Steve Selvin, Catherine Metayer

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Gene-Temperature Interactions and Risk of Childhood Acute Lymphoblastic Leukemia.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Neighborhood Deprivation, Indoor Chemical Concentrations, and Spatial Risk for Childhood Leukemia.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
  12. 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

9 authors.

Stephen Starko FrancisFrom the Department of Neurological Surgery, University of California, San Francisco, CA.
Catherine EndersDivision of Epidemiology, University of California, Berkeley, CA.
Rebecca HydeDivision of Epidemiology, University of California, Berkeley, CA.
Xing GaoDivision of Epidemiology, University of California, Berkeley, CA.
Rong WangDepartment of Chronic Disease Epidemiology, School of Public Health, Yale University, New Haven, CT.
Xiaomei MaDepartment of Chronic Disease Epidemiology, School of Public Health, Yale University, New Haven, CT.
Joseph L WiemelsDepartment of Genetic Epidemiology, University of Southern California, Los Angeles, CA.
Steve SelvinDivision of Epidemiology, University of California, Berkeley, CA.
Catherine MetayerDivision of Epidemiology, University of California, Berkeley, CA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
NCCDPHP CDC HHS U58 DP003862NCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

backgroundThe observance of nonrandom space-time groupings of childhood cancer has been a concern of health professionals and the general public for decades. Many childhood cancers are suspected to have initiated in utero; therefore, we examined the spatial-temporal randomness of the birthplace of children who later developed cancer.

methodsWe performed a space-time cluster analysis using birth addresses of 5,896 cases and 23,369 population-based, age-, sex-, and race/ethnicity-matched controls in California from 1997 to 2007, evaluating 20 types of childhood cancer and three a priori designated subgroups of childhood acute lymphoblastic leukemia (ALL). We analyzed data using a newly designed semiparametric analysis program, ClustR, and a common algorithm, SaTScan.

resultsWe observed evidence for nonrandom space-time clustering for ALL diagnosed at 2-6 years of age in the South San Francisco Bay Area (ClustR P = 0.04, SaTScan P = 0.07), and malignant gonadal germ cell tumors in a region of Los Angeles (ClustR P = 0.03, SaTScan P = 0.06). ClustR did not identify evidence of clustering for other childhood cancers, although SaTScan suggested some clustering for Hodgkin lymphoma (P = 0.09), astrocytoma (P = 0.06), and retinoblastoma (P = 0.06).

conclusionsOur study provides evidence that childhood ALL diagnosed at 2-6 years and malignant gonadal germ cell tumors sporadically occurs in nonrandom space-time clusters. Further research is warranted to identify epidemiologic features that may inform the underlying etiology.

Indexed as

NeoplasmsCaliforniaChildChild, PreschoolFemaleHumansMaleSpace-Time Clustering

Identifiers

PMID31596791
PMCPMC9005107

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.