Evidence map›Paper›PMID 28594943›Full record

ArticlePloS one2017

Childhood cancer risk in those with chromosomal and non-chromosomal congenital anomalies in Washington State: 1984-2013.

Marlena S Norwood, Philip J Lupo, Eric J Chow, Michael E Scheurer, Sharon E Plon, Heather E Danysh, Logan G Spector, Susan E Carozza, David R Doody, Beth A Mueller

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 5% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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  4. A Population-Based Assessment of Cancer Risk in Children With VACTERL.American journal of medical genetics. Part A · 2026
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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

10 authors at 5 institutions in 1 country.

Marlena S NorwoodPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Philip J LupoDepartment of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, United States of America.ORCID http://orcid.org/0000-0003-0978-5863
Eric J ChowPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Michael E ScheurerDepartment of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, United States of America.
Sharon E PlonDepartment of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, United States of America.
Heather E DanyshDepartment of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, United States of America.
Logan G SpectorDivision of Epidemiology/Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, United States of America.
Susan E CarozzaCollege of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, United States of America.
David R DoodyDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Beth A MuellerPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Baylor College of Medicine · USUniversity of Washington · USOregon State University · USSeattle Children's Hospital · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe presence of a congenital anomaly is associated with increased childhood cancer risk, likely due to large effects of Down syndrome and chromosomal anomalies for leukemia. Less is known about associations with presence of non-chromosomal anomalies.

methodsRecords of children diagnosed with cancer at <20 years of age during 1984-2013 in Washington State cancer registries were linked to their birth certificates (N = 4,105). A comparison group of children born in the same years was identified. Congenital anomalies were assessed from birth records and diagnosis codes in linked hospital discharge data. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for cancer, and for specific cancer types in relation to the presence of any anomaly and specific anomalies.

resultsHaving any congenital anomaly was associated with an increased risk of childhood cancer (OR: 1.46, 95% CI 1.28-1.65). Non-chromosomal anomalies were also associated with increased childhood cancer risk overall (OR: 1.35; 95% CI: 1.18-1.54), and with increased risk of several cancer types, including neuroblastoma, renal, hepatoblastoma, soft-tissue sarcoma, and germ cell tumors. Increasing number of non-chromosomal anomalies was associated with a stronger risk of childhood cancer (OR for 3+ anomalies: 3.11, 95% CI: 1.54-6.11). Although central nervous system (CNS) anomalies were associated with CNS tumors (OR: 6.05, 95% CI 2.75-13.27), there was no strong evidence of other non-chromosomal anomalies being specifically associated with cancer occurring in the same organ system or anatomic location.

conclusionsNon-chromosomal anomalies increased risk of several cancer types. Additionally, we found that increasing number of non-chromosomal anomalies was associated with a stronger risk of cancer. Pooling similar data from many regions would increase power to identify specific associations in order to inform molecular studies examining possible common developmental pathways in the etiologies of birth defects and cancer.

Indexed as

Chromosome AberrationsAdolescentAdultChildChild, PreschoolCongenital AbnormalitiesFemaleHumansMaleNeoplasmsRisk FactorsWashingtonYoung Adult

Identifiers

PMID28594943
PMCPMC5464621
OpenAlexW2622883721

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.