Evidence map›Paper›PMID 35584443›Full record

ArticleEinstein (Sao Paulo, Brazil)2022

Incidence of hemoglobinopathies and spatialization of newborns with sickle cell trait in Mato Grosso do Sul, Brazil.

Priscila de Matos Cândido-Bacani, Patrícia Medeiros Silva Grilo, Vanessa da Silveira Ramos, Michelly Zanchin, Indiara Correia Pereira, Josaine Sousa Palmieri Oliveira, Vitor Matheus Bacani, Edis Belini Junior

Open access · diamondAbstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2022. 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
0.8field-weighted citation impact, top 28% of its field
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, 5 citations in OpenAlex.

  1. Review
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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

8 authors at 2 institutions in 1 country.

Priscila de Matos Cândido-BacaniUniversidade Federal de Mato Grosso do Sul, Três Lagoas, MS, Brazil.ORCID http://orcid.org/0000-0002-7220-6767
Patrícia Medeiros Silva GriloUniversidade Federal de Mato Grosso do Sul, Três Lagoas, MS, Brazil.ORCID http://orcid.org/0000-0003-3687-0289
Vanessa da Silveira RamosUniversidade Federal de Mato Grosso do Sul, Três Lagoas, MS, Brazil.ORCID http://orcid.org/0000-0001-7345-9275
Michelly ZanchinInstituto de Pesquisas, Ensino e Diagnósticos, Associação de Pais e Amigos dos Excepcionais, Campo Grande, MS, Brazil.ORCID http://orcid.org/0000-0001-7287-6608
Indiara Correia PereiraInstituto de Pesquisas, Ensino e Diagnósticos, Associação de Pais e Amigos dos Excepcionais, Campo Grande, MS, Brazil.ORCID http://orcid.org/0000-0002-7813-0740
Josaine Sousa Palmieri OliveiraInstituto de Pesquisas, Ensino e Diagnósticos, Associação de Pais e Amigos dos Excepcionais, Campo Grande, MS, Brazil.ORCID http://orcid.org/0000-0002-7779-2099
Vitor Matheus BacaniUniversidade Federal de Mato Grosso do Sul, Três Lagoas, MS, Brazil.ORCID http://orcid.org/0000-0002-8650-0780
Edis Belini JuniorUniversidade Federal de Mato Grosso do Sul, Três Lagoas, MS, Brazil.ORCID http://orcid.org/0000-0001-6478-8173
Universidade Federal de Mato Grosso do Sul · BRAssociação de Pais e Amigos dos Excepcionais de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the incidence of variant hemoglobins of newborn samples from the Neonatal Screening Center in the state of Mato Grosso do Sul, Brazil, and to analyze the distribution and spatial autocorrelation of newborns with sickle cell trait.

methodsSamples from 35,858 newborns screened by the Neonatal Screening Center. The samples with inconclusive diagnosis were submitted to electrophoretic, chromatographic, cytological and molecular analyses. The spatial distribution analysis of newborns with sickle cell trait was performed by spatial autocorrelation.

resultsA total of 919 newborns showed an abnormal hemoglobin profile; in that, ten genotypes had significant clinical impacts identified. Among the asymptomatic newborns, the sickle cell trait was the most frequent (incidence of 1.885 cases/100 newborns). The highest incidence rates were registered in the municipalities of Terenos, Figueirão, Corguinho and Selvíria. There was positive spatial autocorrelation between the proportion of declared individuals of black race/color and the incidence of newborns with sickle cell trait.

conclusionThe early diagnosis by neonatal screening and laboratory tests was very important to identify abnormal hemoglobin profiles and guide the spatial autocorrelation analysis of sickle cell trait newborns in Mato Grosso do Sul, serving as a support to anticipate health measures aimed to discuss efficient therapeutic behaviors and effective planning of municipalities with the greatest need for care, monitoring and orientations for affected families.

Indexed as

Anemia, Sickle CellHemoglobinopathiesHemoglobins, AbnormalSickle Cell TraitBrazilHumansIncidenceInfant, NewbornHemoglobins, Abnormal

Identifiers

PMID35584443
PMCPMC9094609
OpenAlexW4285172852

What OpenQuestion holds

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LicenceCC BY
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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.