ArticlePloS one2019
Fetal and infant mortality of congenital syphilis reported to the Health Information System.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Trial
- Role of universal and targeted recommendations for vaccines for sexually transmitted infections in the USA, China and Indonesia: a cross-sectional study.BMJ public health · 2025Article
- Article
- Mortality in children under 5 years of age with congenital syphilis in Brazil: A nationwide cohort study.PLoS medicine · 2023Observational
- Underreporting of unfavorable outcomes of congenital syphilis on the Notifiable Health Conditions Information System in the state of São Paulo, Brazil, 2007-2018.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
- INCREASE OF INCIDENCE OF CONGENITAL SYPHILIS IN SANTA CATARINA STATE BETWEEN 2007-2017: TEMPORAL TREND ANALYSIS.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2020Observational
- Correction: Fetal and infant mortality of congenital syphilis reported to the Health Information System.PloS one · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCongenital syphilis (CS) is a major cause of mortality in several countries, especially in Latin America and the Caribbean. This study aimed to analyze fetal and infant mortality of CS reported to the Health Information System in a State in Northeastern Brazil. METHODS AND
resultsThis was a cross-sectional study that analyzed the deaths of CS from 2010 to 2014 through the linkage of the Mortality Information System (SIM) and the Notifiable Diseases Information System (Sinan). The Statistical Package for the Social Sciences (SPSS) version 23.0 was used to calculate the rates of Fetal, Perinatal, Neonatal (early and late), and Postneonatal Mortality. Simple linear regression was performed. Fisher's exact test or Pearson's chi-square test were used for comparison of proportions and Student's t-test was used for comparison of means. Of the 414 cases reported to the SIM as deaths possibly caused by CS, 44 (10.6%) presented CS as the underlying cause. From 2010 to 2014 the Infant Mortality Rate of CS was 16.3 per 100,000 live births (y = 0.65x + 14.33, R2 = 0.2338, p = 0.003). There was an 89.4% underreporting of deaths. Perinatal deaths and fetal deaths of CS accounted for 87.7% and 73.9% of total deaths, respectively.
conclusionsThe results of the study revealed a significant Fetal and Infant Mortality rate of CS and demonstrated the importance of using the linkage method in studies that involve the analysis of secondary data obtained from mortality and disease reporting systems. The underreporting of CS as a cause of fetal and infant mortality leads to unawareness of the reality of deaths from this disease, hindering the development of public policies aimed at its prevention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.