Evidence map›Paper›PMID 33786756›Full record

ArticleJournal of community genetics2021

Birth prevalence of congenital anomalies in Argentina, according to socioeconomic level.

Ruben Bronberg, Boris Groisman, Maria Paz Bidondo, Pablo Barbero, Rosa Liascovich

Abstract read
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Article in Journal of community genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ruben BronbergRamos Mejía Hospital, Buenos Aires, Argentina. rabronberg@intramed.net.ORCID http://orcid.org/0000-0002-8859-3060
Boris GroismanNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Administration of Health Laboratories and Institutes, National Ministry of Health, Buenos Aires, Argentina.
Maria Paz BidondoNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Administration of Health Laboratories and Institutes, National Ministry of Health, Buenos Aires, Argentina.
Pablo BarberoNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Administration of Health Laboratories and Institutes, National Ministry of Health, Buenos Aires, Argentina.
Rosa LiascovichNational Network of Congenital Anomalies of Argentina (RENAC), National Center of Medical Genetics, National Administration of Health Laboratories and Institutes, National Ministry of Health, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birth prevalence of congenital anomalies (CA) in Argentina is estimated around 1.7%. CA are the second leading cause of infant mortality. Poverty and other adverse socioeconomic conditions have been associated with birth defects. To describe the prevalence at birth of CA, according to the two proxy variables of socioeconomic level: the health subsector of the hospital where the cases were born (PUB-public versus PRI-private or social security) and its geographical location. The design of the study was ecological using the data of the National Network of Congenital Anomalies of Argentina (RENAC); from October 2010 to December 2018. CA birth prevalence was estimated using the Poisson regression. We used a logistic regression model to analyze the association birth prevalence to health subsector and geographical region. A total of 2,202,994 births were examined in the study period, with a global CA prevalence of 1.69% (95% CI 1.68-1.71). The highest prevalence was observed in PUB hospitals when comparing to PRI hospitals at the country level and in all regions. There were differences in the prevalence of selected congenital anomalies with a statistically significant association to PUB (observed in anencephaly, encephalocele, hydrocephalus, microcephaly, holoprosencephaly, microtia/anotia, cleft lip and palate, postaxial polydactyly, talipes equinovarus, talipes calcaneovalgus, and gastroschisis). The prevalence of critical heart defects and chromosomal anomalies was significantly higher in PRI hospitals. Although this is an ecological study with no information on socioeconomic status at individual level, we found an association between CA frequency and selected CA with the PUB subsector. Vulnerable populations affected with CA require a greater effort from policy makers and health care providers to allocate more resources and design strategies to access to health.

Indexed as

ArgentinaBirth defectsSocioeconomic status

Identifiers

PMID33786756
PMCPMC8241968

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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.