Evidence map›Paper›PMID 31313535›Full record

ArticleBirth defects research2019

Co-occurring defect analysis: A platform for analyzing birth defect co-occurrence in registries.

Renata H Benjamin, Xiao Yu, Maria Luisa Navarro Sanchez, Han Chen, Laura E Mitchell, Peter H Langlois, Mark A Canfield, Michael D Swartz, Angela E Scheuerle, Daryl A Scott and 6 more

Abstract read
In one paragraph

Article in Birth defects research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Expanding the genetics and phenotypes of ocular congenital cranial dysinnervation disorders.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Chromosomal Microarray Analysis in Fetuses with Ultrasound Abnormalities.International journal of general medicine · 2024
    Article
  7. Patterns of co-occurring birth defects in children with anotia and microtia.American journal of medical genetics. Part A · 2023
    Article
  8. Article
  9. Birth Defect Co-Occurrence Patterns Among Infants With Cleft Lip and/or Palate.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2022
    Article
  10. Article
  11. Article
  12. Epidemiology of Birth Defects in Eastern China and the Associated Risk Factors.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  13. Article
  14. Patterns of congenital anomalies among individuals with trisomy 13 in Texas.American journal of medical genetics. Part A · 2021
    Article
  15. Article
  16. Article
  17. Birth defects that co-occur with non-syndromic gastroschisis and omphalocele.American journal of medical genetics. Part A · 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

16 authors.

Renata H BenjaminDepartment of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas.ORCID 0000-0001-6406-4247
Xiao YuDepartment of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas.
Maria Luisa Navarro SanchezDepartment of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas.
Han ChenDepartment of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas.
Laura E MitchellDepartment of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas.
Peter H LangloisBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas.ORCID 0000-0001-6765-4963
Mark A CanfieldBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas.
Michael D SwartzDepartment of Biostatistics and Data Science, UTHealth School of Public Health, Houston, Texas.
Angela E ScheuerleDepartment of Pediatrics, Division of Genetics and Metabolism, University of Texas Southwestern Medical Center, Dallas, Texas.
Daryl A ScottDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Hope NorthrupDepartment of Pediatrics, Division of Medical Genetics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas.
Christian P SchaafDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Joseph W RayDepartment of Pediatrics, Division of Medical Genetics and Metabolism, University of Texas Medical Branch, Galveston, Texas.
Scott D McLeanClinical Genetics Section, The Children's Hospital of San Antonio, San Antonio, Texas.
Philip J LupoDepartment of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas.ORCID 0000-0003-0978-5863
A J AgopianDepartment of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas.ORCID 0000-0002-5874-4155

Funding

A multidisciplinary approach for identifying and characterizing novel congenital malformation syndromesR01HD093660 · NICHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI AGOPIAN, A.J., LUPO, PHILIP · 2018 to 2022
$2.0M
NICHD NIH HHS R01 HD093660
6 · The paper itself

Abstract

backgroundFew studies have systematically evaluated birth defect co-occurrence patterns, perhaps, in part, due to the lack of software designed to implement large-scale, complex analytic methods.

methodsWe created an R-based platform, "co-occurring defect analysis" (CODA), designed to implement analyses of birth defect co-occurrence patterns in birth defect registries. CODA uses an established algorithm for calculating the observed-to-expected ratio of a given birth defect combination, accounting for the known tendency of birth defects to co-occur nonspecifically. To demonstrate CODA's feasibility, we evaluated the computational time needed to assess 2- to 5-way combinations of major birth defects in the Texas Birth Defects Registry (TBDR) (1999-2014). We report on two examples of pairwise patterns, defects co-occurring with trisomy 21 or with non-syndromic spina bifida, to demonstrate proof-of-concept.

resultsWe evaluated combinations of 175 major birth defects among 206,784 infants in the TBDR. CODA performed efficiently in the data set, analyzing 1.5 million 5-way combinations in 18 hr. As anticipated, we identified large observed-to-expected ratios for the birth defects that co-occur with trisomy 21 or spina bifida.

conclusionsCODA is available for application to birth defect data sets and can be used to better understand co-occurrence patterns. Co-occurrence patterns elucidated by using CODA may be helpful for identifying new birth defect associations and may provide etiological insights regarding potentially shared pathogenic mechanisms. CODA may also have wider applications, such as assessing patterns of additional types of co-occurrence patterns in other large data sets (e.g., medical records).

Indexed as

AlgorithmsComorbidityCongenital AbnormalitiesHumansInfantInfant, NewbornModels, StatisticalRegistriesSoftwareTexasbirth defectsmultiple congenital anomaliesregistriessoftwaresyndromes

Identifiers

PMID31313535
PMCPMC7814855

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Registered trials

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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.