Evidence map›Paper›PMID 36398384›Full record

ArticleBirth defects research2023

Factors associated with nonsyndromic anotia and microtia, Texas, 1999-2014.

Jeremy M Schraw, J P Woodhouse, Renata H Benjamin, Charles J Shumate, Joanne Nguyen, Mark A Canfield, A J Agopian, Philip J Lupo

Abstract read
In one paragraph

Article in Birth defects research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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1citing papers in PubMed, 1 pooled it
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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

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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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

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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

8 authors.

Jeremy M SchrawDepartment of Pediatrics, Center for Epidemiology and Population Health, Baylor College of Medicine, Houston, Texas, USA.
J P WoodhouseDepartment of Pediatrics, Center for Epidemiology and Population Health, Baylor College of Medicine, Houston, Texas, USA.
Renata H BenjaminDepartment of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-6406-4247
Charles J ShumateBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas, USA.ORCID https://orcid.org/0000-0003-2884-2835
Joanne NguyenBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas, USA.
Mark A CanfieldBirth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas, USA.
A J AgopianDepartment of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-5874-4155
Philip J LupoDepartment of Pediatrics, Center for Epidemiology and Population Health, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-0978-5863

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
Eunice Kennedy Shriver National Institute of Child Health and Development R01HD093660NICHD NIH HHS R01 HD093660
6 · The paper itself

Abstract

backgroundFew risk factors have been identified for nonsyndromic anotia/microtia (A/M).

methodsWe obtained data on cases and a reference population of all livebirths in Texas for 1999-2014 from the Texas Birth Defects Registry (TBDR) and Texas vital records. We estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) for A/M (any, isolated, nonisolated, unilateral, and bilateral) using Poisson regression. We evaluated trends in prevalence rates using Joinpoint regression.

resultsWe identified 1,322 cases, of whom 982 (74.3%) had isolated and 1,175 (88.9%) had unilateral A/M. Prevalence was increased among males (PR: 1.3, 95% CI: 1.2-1.4), offspring of women with less than high school education (PR: 1.3, 95% CI: 1.1-1.5), diabetes (PR: 2.0, 95% CI: 1.6-2.4), or age 30-39 versus 20-29 years (PR: 1.2, 95% CI: 1.0-1.3). The prevalence was decreased among offspring of non-Hispanic Black versus White women (PR: 0.6, 95% CI: 0.4-0.8) but increased among offspring of Hispanic women (PR: 2.9, 95% CI: 2.5-3.4) and non-Hispanic women of other races (PR: 1.7, 95% CI: 1.3-2.3). We observed similar results among cases with isolated and unilateral A/M. Sex disparities were not evident for nonisolated or bilateral phenotypes, nor did birth prevalence differ between offspring of non-Hispanic Black and non-Hispanic White women. Maternal diabetes was more strongly associated with nonisolated (PR: 4.5, 95% CI: 3.2-6.4) and bilateral A/M (PR: 5.0, 95% CI: 3.3-7.7). Crude prevalence rates increased throughout the study period (annual percent change: 1.82).

conclusionWe identified differences in the prevalence of nonsyndromic A/M by maternal race/ethnicity, education, and age, which may be indicators of unidentified social/environmental risk factors.

Indexed as

Congenital MicrotiaDiabetes, GestationalEthnicityFemaleHispanic or LatinoHumansMalePregnancyTexasanotiaepidemiologymicrotia

Identifiers

PMID36398384
PMCPMC11488818

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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.