Evidence map›Paper›PMID 34403438›Full record

ArticlePloS one2021

Clusters of cause specific neonatal mortality and its association with per capita gross domestic product: A structured spatial analytical approach.

Daniela Testoni Costa-Nobre, Mandira Daripa Kawakami, Kelsy Catherina Nema Areco, Adriana Sanudo, Rita Cassia Xavier Balda, Ana Sílvia Scavacini Marinonio, Milton Harumi Miyoshi, Tulio Konstantyner, Paulo Bandiera-Paiva, Rosa Maria Vieira Freitas and 6 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

16 authors.

Daniela Testoni Costa-NobreEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.ORCID 0000-0001-7629-4904
Mandira Daripa KawakamiEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.ORCID 0000-0001-5230-1989
Kelsy Catherina Nema ArecoEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Adriana SanudoEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Rita Cassia Xavier BaldaEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Ana Sílvia Scavacini MarinonioEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Milton Harumi MiyoshiEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Tulio KonstantynerEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.ORCID 0000-0002-7931-9692
Paulo Bandiera-PaivaEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Rosa Maria Vieira FreitasFundação Sistema Estadual de Análise de Dados (SEADE Foundation), São Paulo, SP, Brazil.
Liliam Cristina Correia MoraisFundação Sistema Estadual de Análise de Dados (SEADE Foundation), São Paulo, SP, Brazil.
Mônica La Porte TeixeiraFundação Sistema Estadual de Análise de Dados (SEADE Foundation), São Paulo, SP, Brazil.
Bernadette WaldvogelFundação Sistema Estadual de Análise de Dados (SEADE Foundation), São Paulo, SP, Brazil.
Maria Fernanda Branco de AlmeidaEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Ruth GuinsburgEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Carlos Roberto Veiga KifferEscola Paulista de Medicina-Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.ORCID 0000-0003-1122-0693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfant mortality rate is a measure of population health and neonatal mortality account for great proportion of these deaths. Underdevelopment might be associated to higher neonatal mortality risk due to assistant related factors. Spatial and temporal distribution of mortality help identifying and developing strategies for interventions.

objectiveTo investigate the cluster areas of asphyxia-associated neonatal mortality and to explore its association with per capita gross domestic product (GDP) in São Paulo State (SP), Brazil.

methodsEcological study including live births residents in SP from 2004-2013. Neonatal deaths (0-27 days) with perinatal asphyxia were defined as intrauterine hypoxia, birth asphyxia or meconium aspiration syndrome written in any line of the Death Certificate. Geoprocessing analytical approach included detection of first order effects through quintiles and spatial moving average maps, followed by second order effects by global and local spatial autocorrelation (Moran and LISA, respectively) before and after smoothing with local Bayesian estimates. Finally, Spearman correlation was applied between asphyxia-associated neonatal mortality and mean per capita GDP rates for the municipalities with significant LISA.

resultsThere were 6,713 asphyxia-associated neonatal deaths among 5,949,267 live births (rate: 1.13/1000) in SP. Spatial moving average maps showed a non-random distribution among municipalities, with presence of clusters (I = 0.048; p = 0.023). LISA map identified clusters of asphyxia-associated neonatal mortality in the south, southeast and northwest. After applying local Bayes estimates, clusters were more pronounced (I = 0.589; p = 0.001). There was a partial overlap of the areas of higher asphyxia-associated neonatal mortality and lower mean per capita GDP.

conclusionsSpatial analysis identified cluster areas of high asphyxia-associated neonatal mortality and low per capita GDP rates, with a significant negative correlation. This optimized, structured, and hierarchical approach to identify high-risk areas of cause-specific neonatal mortality may be helpful for guiding public health efforts to decrease neonatal mortality.

Indexed as

Gross Domestic ProductInfant MortalityAsphyxia NeonatorumBayes TheoremBrazilCause of DeathCluster AnalysisFemaleHumansInfantInfant, NewbornMaleSpatial Analysis

Identifiers

PMID34403438
PMCPMC8370610

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.