Evidence map›Paper›PMID 32159643›Full record

ArticleRevista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo2020

SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZIL.

Débora Cristina Fontes Leite, Rosana Cipolotti, Ricardo Queiroz Gurgel, Paulo Ricardo Saquete Martins Filho, Gabriel Dantas Lopes

Open access · diamondAbstract read
In one paragraph

Article in Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo, 2020. 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
0.4field-weighted citation impact, top 39% 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, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Débora Cristina Fontes LeiteUniversidade Federal de Sergipe, Aracaju, SE, Brazil.ORCID http://orcid.org/0000-0002-5396-2428
Rosana CipolottiUniversidade Federal de Sergipe, Aracaju, SE, Brazil.ORCID http://orcid.org/0000-0001-9070-2302
Ricardo Queiroz GurgelUniversidade Federal de Sergipe, Aracaju, SE, Brazil.ORCID http://orcid.org/0000-0001-9651-3713
Paulo Ricardo Saquete Martins FilhoUniversidade Federal de Sergipe, Aracaju, SE, Brazil.ORCID http://orcid.org/0000-0001-8779-0727
Gabriel Dantas LopesUniversidade Tiradentes, Aracaju, SE, Brazil.ORCID http://orcid.org/0000-0002-9743-6825
Universidade Federal de Sergipe · BRUniversidade Tiradentes · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo use the spatial distribution of the sickle cell trait (SCT) to analyze the frequency of hemoglobin S (HbS) carriers in Sergipe.

methodsThe sample consisted of all individuals born in Sergipe from October 2011 to October 2012 who underwent neonatal screening in the public health system. Tests were carried out in basic health units and forwarded to the University Hospital laboratory, where they were analyzed. We used spatial autocorrelation (Moran's index) to assess the spatial distribution of heterozygous individuals with hemoglobinopathies.

resultsAmong 32,906 newborns, 1,202 showed other types of hemoglobin besides Hemoglobin A. We found a positive correlation between the percentage of black and multiracial people and the incidence of SCT. Most SCT cases occurred in the cities of Aracaju (n=273; 22.7%), Nossa Senhora do Socorro (n=102; 8.4%), São Cristóvão (n=58; 4.8%), Itabaiana (n=39; 4.2%), Lagarto (n=37; 4.01%), and Estância (n=46; 4.9%).

conclusionsThe spatial distribution analysis identified regions in the state with a high frequency of HbS carriers. This information is important health care planning. This method can be applied to detect other places that need health units to guide and care for sickle cell disease patients and their families.

Indexed as

Geographic MappingAnemia, Sickle CellBrazilCitiesHemoglobinopathiesHemoglobin, SickleHumansIncidenceInfant, NewbornSickle Cell TraitHemoglobin, Sickle

Identifiers

PMID32159643
PMCPMC7063597
OpenAlexW3011377592

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.