Evidence map›Paper›PMID 40138258›Full record

ArticleNeuro-oncology2025

Co-occurrence of congenital anomalies and childhood brain tumors in 22 million live births.

Thanh T Hoang, Jeremy M Schraw, Charles Shumate, Tania A Desrosiers, Wendy N Nembhard, Mahsa Yazdy, Eirini Nestoridi, Amanda E Janitz, Russell S Kirby, Jason L Salemi and 7 more

Abstract read
In one paragraph

Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

17 authors.

Thanh T HoangDepartment of Pediatrics, Division of Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-8498-0020
Jeremy M SchrawDepartment of Pediatrics, Division of Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-6674-9562
Charles ShumateBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas, USA.ORCID 0000-0003-2884-2835
Tania A DesrosiersDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1600-3700
Wendy N NembhardDepartment of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences and Arkansas Center for Birth Defects Research and Prevention, Little Rock, Arkansas, USA.ORCID 0000-0002-8318-4049
Mahsa YazdyMassachusetts Center for Birth Defects Research and Prevention, Division for Surveillance, Research, and Promotion of Perinatal Health, Massachusetts Department of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-7415-5350
Eirini NestoridiMassachusetts Center for Birth Defects Research and Prevention, Division for Surveillance, Research, and Promotion of Perinatal Health, Massachusetts Department of Public Health, Boston, Massachusetts, USA.
Amanda E JanitzDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.ORCID 0000-0003-2690-385X
Russell S KirbyChiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA.ORCID 0000-0002-3489-401X
Jason L SalemiChiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA.ORCID 0000-0002-0077-6023
Jean Paul TannerChiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA.
Tiffany M ChambersDepartment of Pediatrics, Division of Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0001-7618-7009
Michael D TaylorDepartment of Pediatrics, Division of Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0001-7009-3466
Chad D HuffDivision of Cancer Prevention and Population Sciences, Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-1100-9364
Sharon E PlonDepartment of Pediatrics, Division of Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-9626-0936
Philip J LupoDepartment of Pediatrics, Division of Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0003-0978-5863
Michael E ScheurerDepartment of Pediatrics, Division of Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-8379-6088

Funding

National Institute of Child Health and Human Development R01HD112081NCI NIH HHS R03CA272955, R01CA284531
6 · The paper itself

Abstract

backgroundChildren born with a congenital anomaly have a higher risk of developing a brain tumor during childhood or adolescence, but the co-occurrence between specific types of congenital anomalies and specific types of childhood brain tumors (CBTs) is not well described. This study characterized the associations between specific congenital anomalies and CBTs.

methodsWe leveraged a population-based registry linkage study of births (1990-2018), congenital anomalies, and cancer from 9 states (n = 22,599,099 births). Congenital anomalies were classified as major structural without a known chromosomal or genetic syndrome, chromosomal, neurofibromatosis, and/or tuberous sclerosis complex. CBT classification was based on the International Classification of Childhood Cancer for children diagnosed < 20 years. Cox regression analyses were conducted separately by congenital anomaly for anomaly-CBT combinations with at least 5 co-occurring cases. We conducted analyses for any CBT and separately for astrocytoma, atypical teratoid/rhabdoid tumor, ependymoma, medulloblastoma, mixed and unspecified gliomas, and primitive neuroectodermal tumors.

resultsThere were 6,247 children diagnosed with a CBT. Having any major structural anomaly was associated with risk of any CBT and across all subgroups (aHR range: 1.48-3.69) except ependymoma, particularly among children diagnosed with a tumor by 1 year of age. Of the 66 anomaly-CBT combinations analyzed, 42 were significant (P < .05), including 25 in an earlier version of this study and 16 novel associations (aHR range: 1.46-525). Anomaly-CBT associations also differed by astrocytoma histology.

conclusionsWe observed consistent evidence that having a structural congenital anomaly increases risk of developing a CBT, particularly in infancy, which may provide insights into etiology.

Indexed as

Brain NeoplasmsCongenital AbnormalitiesAdolescentChildChild, PreschoolFemaleFollow-Up StudiesHumansInfantInfant, NewbornLive BirthMalePrognosisRegistriesRisk FactorsUnited Statesbirth defectschildhood cancercongenital malformationsepidemiologypediatric brain tumor

Identifiers

PMID40138258
PMCPMC12417818

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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.