ArticleJournal of community genetics2021
Geographic distribution of live births and infant mortality from congenital anomalies in Brazil, 2012-2017.
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. An erratum has been issued. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Scientific production on health inequalities using the Brazilian Information System on Live Births: a scoping review.Cadernos de saude publica · 2026Article
- The Epigenetic Landscape of Hemophilia.Current molecular medicine · 2026Review
- Epidemiological surveillance in congenital anomalies and rare diseases in Brazil: present situation and future challenges.Journal of community genetics · 2025Review
- Spatial analysis of risk areas of congenital anomalies in Brazil, 2012-2021.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the 2010-2014 period, the mean prevalence of congenital anomalies (CA) in the world was estimated at 398/10,000 births. CA are an important cause of mortality, disability, and comorbidity. Thus, the present study aims to describe the geographical and temporal distributions of live births and infant mortality (IM) due CA (IM-CA) in Brazil, from 2012 to 2017. The data used in this study is available at the Department of Informatics of the Unified Health System (DATASUS). The prevalence of CA at birth was 81.67/10,000 (95% CI 80.46-82.88), and the IM-CA rate was 27.97/10,000 (95% CI 27.95-28.00) in the studied period. The five CA with the highest rates were polydactyly (9.66/10,000, 95% CI 6.10-9.82), Down syndrome (3.40/10,000, 95% CI 3.41-5.99), microcephaly (2.92/10,000, 95% CI 2.91-3.12), hydrocephalus (2.72/10,000, 95% CI 2.65-2.90), and spina bifida (2.44/10,000, 95% CI 2.43-2.64). São Paulo was the Brazilian state with the highest CA birth rate (119.3/10,000), and Amazonas was the state with the highest IM-CA rate (33.8/10,000). The description and data analyses such as those performed in this work are relevant for healthcare systems and can be very useful in the formulation of public health campaigns and policies, as well as informing and educating professionals and the population. The management of clinical actions should consider all social, economic, geographic, and epidemiological factors.
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Registered trials
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.