Evidence map›Paper›PMID 35674559›Full record

ArticleRevista da Sociedade Brasileira de Medicina Tropical2022

High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patterns.

Bárbara Morgana da Silva, Anderson Fuentes Ferreira, José Alexandre Menezes da Silva, Rebeca Gomes de Amorim, Ana Lúcia Coutinho Domingues, Marta Cristhiany Cunha Pinheiro, Fernando Schemelzer de Moares Bezerra, Jorg Heukelbach, Alberto Novaes Ramos

Abstract read
In one paragraph

Article in Revista da Sociedade Brasileira de Medicina Tropical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Helminth community ofInternational journal for parasitology. Parasites and wildlife · 2024
    Article
  4. 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

9 authors.

Bárbara Morgana da SilvaUniversidade Federal do Ceará, Faculdade de Medicina, Pós-Graduação em Saúde Pública, Fortaleza, CE, Brasil.ORCID http://orcid.org/0000-0002-3522-6427
Anderson Fuentes FerreiraUniversidade Federal do Ceará, Faculdade de Medicina, Pós-Graduação em Saúde Pública, Fortaleza, CE, Brasil.ORCID http://orcid.org/0000-0002-1816-9459
José Alexandre Menezes da SilvaNHR Brasil - Nederlandse Stichting voor Leprabestrijding, Fortaleza, CE, Brasil.ORCID http://orcid.org/0000-0003-4603-978X
Rebeca Gomes de AmorimUniversidade Federal do Ceará, Faculdade de Farmácia, Odontologia e Enfermagem, Departamento de Enfermagem, Fortaleza, CE, Brasil.ORCID http://orcid.org/0000-0002-5779-0344
Ana Lúcia Coutinho DominguesUniversidade Federal de Pernambuco, Centro de Ciências Médicas, Programa de Pós-Graduação em Medicina Tropical, Recife, PE, Brasil.ORCID http://orcid.org/0000-0002-1824-7090
Marta Cristhiany Cunha PinheiroUniversidade Federal do Ceará, Departamento de Análises Clínicas e Toxicológicas, Laboratório de Pesquisa em Parasitologia e Biologia Molusco, Fortaleza, CE, Brasil.ORCID http://orcid.org/0000-0002-0511-6964
Fernando Schemelzer de Moares BezerraUniversidade Federal do Ceará, Departamento de Análises Clínicas e Toxicológicas, Laboratório de Pesquisa em Parasitologia e Biologia Molusco, Fortaleza, CE, Brasil.ORCID http://orcid.org/0000-0003-4920-7718
Jorg HeukelbachUniversidade Federal do Ceará, Faculdade de Medicina, Pós-Graduação em Saúde Pública, Fortaleza, CE, Brasil.ORCID http://orcid.org/0000-0002-7845-5510
Alberto Novaes RamosUniversidade Federal do Ceará, Faculdade de Medicina, Pós-Graduação em Saúde Pública, Fortaleza, CE, Brasil.ORCID http://orcid.org/0000-0001-7982-1757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe analyzed the trends and spatial patterns of schistosomiasis-related mortality in Northeast Brazil in 2000-2019.

methodsA mixed population-based ecological study was conducted, using information on the underlying or associated causes of death. We used Joinpoint regression analysis to calculate the trends. The spatial analysis included rates, spatial moving averages, and standardized mortality rates. The spatial dependence analysis was based on Getis-Ord's G and Gi* indices (Gi star) and local Moran's index to check for autocorrelation.

resultsA total of 5,814,268 deaths were recorded, of which 9,276 (0.16%) were schistosomiasis-related; 51.0% (n=4,732, adjusted rate 0.90/100,000 inhabitants [95% confidence interval (CI) 0.88-0.93]) were males; 40.0% (n=3,715, adjusted rate 7.40/100.000 inhabitants [95%CI: 7.16-7.64]) were ≥70 years old; 54.8% (n=5,087, crude rate 0.80/100,000 inhabitants) were of mixed/Pardo-Brazilian ethnicity; and 77.9% (n=7,229, adjusted rate 0.86/100,000 inhabitants [95%CI: 0.84-0.88]) lived outside state capitals. The highest proportion of deaths was in the state of Pernambuco (53.9%, n=4,996, adjusted rate 2.72/100,000 inhabitants [95%CI: 2.64-2.79]). Increasing mortality rate was verified in the state of Sergipe. On the coast of the state of Rio Grande do Norte and Bahia, there was spatial dependence of spatio-temporal risk patterns with clusters. Throughout the study period, we found positive spatial autocorrelation and cluster formation.

conclusionsIn Northeast Brazil, schistosomiasis persists with a high mortality rate, especially in the coastal region, with heterogeneous spatial and temporal patterns. To eliminate schistosomiasis by 2030, it is necessary to strengthen the financing and management of the unified health system (SUS).

Indexed as

SchistosomiasisAgedBrazilEnvironmentFemaleHumansMaleRegression AnalysisSpatial Analysis

Identifiers

PMID35674559
PMCPMC9176732

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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.