Evidence map›Paper›PMID 35433567›Full record

ArticleFrontiers in public health2022

The Text Mining Technique Applied to the Analysis of Health Interventions to Combat Congenital Syphilis in Brazil: The Case of the "Syphilis No!" Project.

Marcella A da Rocha, Marquiony M Dos Santos, Raphael S Fontes, Andréa S P de Melo, Aliete Cunha-Oliveira, Angélica E Miranda, Carlos A P de Oliveira, Hugo Gonçalo Oliveira, Cristine M G Gusmão, Thaísa G F M S Lima and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Massive Education in Prison Health in Brazil: A Look Beyond the Walls.International journal of environmental research and public health · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. The State and the obligation to guarantee maternal and perinatal healthRevista colombiana de obstetricia y ginecologia · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. 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

13 authors at 7 institutions in 2 countries.

Marcella A da RochaLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Marquiony M Dos SantosLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Raphael S FontesLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Andréa S P de MeloLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Aliete Cunha-OliveiraHealth Sciences Research Unit: Nursing (UICISA:E), Nursing School of Coimbra (ESEnfC), Coimbra, Portugal.
Angélica E MirandaPostgraduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitoria, Brazil.
Carlos A P de OliveiraMultidisciplinary Department of Human Development With Technologies, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Hugo Gonçalo OliveiraCentre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal.
Cristine M G GusmãoDepartment of Biomedical Engineering, Federal University of Pernambuco (UFPE), Recife, Brazil.
Thaísa G F M S LimaMinistry of Health, Brasília, Brazil.
Rafael PintoLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Daniele M S BarrosLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Ricardo A de M ValentimLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Universidade Federal do Rio Grande do Norte · BREscola Superior de Enfermagem de Coimbra · PTMinistério da Saúde · BRUniversidade do Estado do Rio de Janeiro · BRUniversidade Federal de Pernambuco · BRUniversidade Federal do Espírito Santo · BRUniversity of Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital syphilis (CS) remains a threat to public health worldwide, especially in developing countries. To mitigate the impacts of the CS epidemic, the Brazilian government has developed a national intervention project called "Syphilis No." Thus, among its range of actions is the production of thousands of writings featuring the experiences of research and intervention supporters (RIS) of the project, called field researchers. In addition, this large volume of base data was subjected to analysis through data mining, which may contribute to better strategies for combating syphilis. Natural language processing is a form of knowledge extraction. First, the database extracted from the "LUES Platform" with 4,874 documents between 2018 and 2020 was employed. This was followed by text preprocessing, selecting texts referring to the field researchers' reports for analysis. Finally, for analyzing the documents, N-grams extraction (

Indexed as

EpidemicsSyphilisSyphilis, CongenitalBrazilData MiningFemaleHumansPregnancycongenital syphiliscontent analysis“no syphilis” projectpublic healthtext mining

Identifiers

PMID35433567
PMCPMC9005801
OpenAlexW4220933659

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.