Evidence map›Paper›PMID 30996022›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Early Infection with Cytomegalovirus and Risk of Childhood Hematologic Malignancies.

Joseph L Wiemels, Mats Talbäck, Stephen Francis, Maria Feychting

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Detection of AdenoviralInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
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  6. Maternal Prenatal Use of Alcohol, Tobacco, and Illicit Drugs and Associations with Childhood Cancer Subtypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  7. Gene-Environment Analyses Reveal Novel Genetic Candidates with Prenatal Tobacco Exposure in Relation to Risk for Childhood Acute Lymphoblastic Leukemia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  8. Article
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  11. Review
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  16. Leveraging Genome and Phenome-Wide Association Studies to Investigate Genetic Risk of Acute Lymphoblastic Leukemia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    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

4 authors at 3 institutions in 2 countries.

Joseph L WiemelsCenter for Genetic Epidemiology, Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California. wiemels@usc.edu.ORCID 0000-0003-4838-9951
Mats TalbäckUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-5361-1142
Stephen FrancisDepartment of Epidemiology, School of Community Health Sciences, University of Nevada Reno, Reno, Nevada.
Maria FeychtingUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEUniversity of Nevada, Reno · USUniversity of Southern California · US

Funding

Perinatal immune development and risk of childhood acute lymphoblastic leukemiaR01CA175737 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MA, XIAOMEI, WIEMELS, JOSEPH LEO · 2014 to 2018
$3.0M
NCI NIH HHS R01 CA175737
6 · The paper itself

Abstract

backgroundCongenital cytomegalovirus (CMV) infection was recently identified as a risk factor for childhood acute lymphocytic leukemia by detecting the presence of CMV sequences in neonatal blood spots. In this study, we asked whether clinically apparent CMV infection could be identified prior to hematologic malignancy, using high-quality Swedish population-based registries.

methodsCMV infection was identified with appropriate ICD-9 or ICD-10 codes in the Patient and Medical Birth Registries, and childhood malignancies below the age of 15 years were identified in the Cancer Registry, among 2,782,507 children born in Sweden 1987 to 2014.

resultsObserving all CMV infections registered earlier than 6 months prior to malignancy diagnosis, an increased HR of CMV-related infections, adjusting for congenital malformations, deformations, and chromosome abnormalities, was detected for hematologic malignancies [HR, 11.2; 95% confidence interval (CI), 5.8-21.5], but not for central nervous system tumors.

conclusionsHigher CMV incidence was detected for children ostensibly exposed through maternal CMV infection during pregnancy with the index child. IMPACT: The data are compatible with a congenital infection of CMV leading to increased risk of childhood hematologic malignancies, but not tumors of the central nervous system, although a cautious interpretation is warranted because of the small numbers.

Indexed as

AdolescentChildChild, PreschoolCytomegalovirusCytomegalovirus InfectionsFemaleHematologic NeoplasmsHumansIncidenceInfantInfant, NewbornMalePregnancyRisk FactorsSweden

Identifiers

PMID30996022
PMCPMC7731595
OpenAlexW2938307181

What OpenQuestion holds

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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.