Evidence map›Paper›PMID 38918275›Full record

ArticleJournal of community genetics2024

Congenital anomalies in Santa Catarina, Southern Brazil: macroregional and temporal birth prevalence for the period 2011-2020.

Laysa Kariny Krieck, Márcia Helena Barbian, Lavinia Schuler-Faccini, Betine Pinto Moehlecke Iser

Abstract read
In one paragraph

Article in Journal of community genetics, 2024. 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. 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 · 2025
    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

4 authors.

Laysa Kariny KrieckGraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0001-8559-4482
Márcia Helena BarbianGraduate Program in Statistics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0002-5557-754X
Lavinia Schuler-FacciniGraduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0002-2428-0460
Betine Pinto Moehlecke IserGraduate Program in Health Sciences, Universidade do Sul de Santa Catarina, Tubarão, Santa Catarina, Brazil. betinee@gmail.com.ORCID https://orcid.org/0000-0001-6061-2541

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 142450/2020-0
6 · The paper itself

Abstract

Congenital anomalies (CAs) are an important cause of infant mortality and efficient surveillance is necessary for their prevention. Therefore, the objective of this study is to establish baselines of prevalence at birth of priority CAs for surveillance in the state of Santa Catarina, using data from the Live Birth Information System considering the period 2011-2019 (baseline) and 2020 (pandemic year). The analyses were carried out based on the mother's residence health macroregion. The CAs were selected following the ICD-10 coding for chapter XVII. Birth prevalence was calculated per 10,000 live births and the confidence interval was established at 95%. 2011-2019 recorded 88.8/10,000 births with CAs (total). For 2011-2019, limb defects (without polydactyly) were the most prevalent (14.1/10,000), followed by congenital heart defects (8.9), oral clefts (8.2), polydactyly (7.9), Down syndrome (5.6), hypospadias (5.4), neural tube defects (4.7), gastroschisis (3.3), undefined sex (1.2), microcephaly (0.8) and omphalocele (0.3). There were no significant differences in temporal and spatial distribution. However, unusual fluctuations were observed in 2020, which may reflect the pandemic in CAs notifications. In the base period, Santa Catarina recorded CAs below the expected level of being identified at birth. With this, we conclude that the training and awareness of teams are essential for the surveillance of CAs in Santa Catarina.

Indexed as

Congenital anomaliesEpidemiologyHealth information systemsLive birth

Identifiers

PMID38918275
PMCPMC11411025

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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.