Recently, congenital toxoplasmosis was also added to the list of diseases screened by the Piece test under the National Neonatal Screening Program [1]. In addition, gestational and congenital toxoplasmosis, in 2017, became a notifiable disease (mandatory communication to the health authority by doctors, health professionals, or, those responsible for public or private health establishments) throughout Brazil [1]. Such measures reflect the concern with the occurrence and consequences of congenital toxoplasmosis in pregnant women in Brazil.

A study carried out by Pouzas et al. [2] makes it clear that children who received treatment for toxoplasmosis had several benefits compared to untreated patients. The treatment offered to children in reference centers for the disease is different, as these children are treated weekly and the medications are prepared by the pharmacies of these centers according to the weight of the children. Although receiving the medicines prepared in a personalized way for each child, the cure for toxoplasmosis was not total, but very significant [2].

Thus, the objective of the scientific review proposed here is to answer the following question: what would be the best therapeutic option and the most effective pharmaceutical form for the treatment of newborns and children with incorporated toxoplasmosis?

Eligibility criteria

Studies with the following characteristics will be eligible: 1) Population: Human, pregnancy and new born; 2)Intervention: toxoplasmosis treatment; 3) Control: Children/mothers not treated for toxoplasmosis; 4) Outcome of interest: which treatment was used, and pharmaceutical form used; 5) Languages: there will be no language restriction; 6) Study designs: no design limitations as long as it has been mentioned whether you have been infected with toxoplasma gondii and whether or not you have received treatment; 7) Publication dates: No time limit.

The exclusion criteria are : Literature reviews, meta-analysis, letters to the editor, animal studies, studies unrelated to toxoplasmosis and treatment, studies that treat other comorbidities in addition to toxoplasmosis, full texts not accessible, texts published before 2013.

Study records

First, the title and abstracts of the research studies will be screened by three researchers independently. Duplicates, studies that do not meet the inclusion or exclusion criteria, or studies not available or published before 2013 will be excluded from further analysis.

For the selection of the articles, the RAYYAN software will be used independently, where each reviewer will make the selection of the articles in a blinded way. During the selection process, all data will be cross-referenced and discrepancies will be resolved by a senior researcher.  Finally, the full texts of eligible articles will be read by these same researchers to assess their quality and decide on final inclusion. Articles considered relevant for the review that are not available in full for reading, the authors will be contacted to request availability of the article in full.

Data will be collected using a standardized Excel spreadsheet (Microsoft Excel®, version 2016). The data extraction will include: 1) Bibliometrics (country where the study was conducted, title,

journal, language, DOI, publication year); 2) time of diagnosis; 2) initiation phase of therapy, therapeutic options; 3) pharmaceutical form of drugs; 4) dosage; 5) main clinical manifestations and sequels; 6) duration of treatment; 7) patient follow-up; 8) number of treated and untreated patients; 9) idiosyncrasies of the population or treatment.

Risk of bias in individual studies

Subsequent to the selection of the searched articles, the data must be extracted, the methodological quality of the included studies must be evaluated, in order to synthesize and evaluate the quality of the evidence, perform the statistical analyzes and then write the article.

The quality of the studies will be evaluated following the Joanna Briggs Institute (JBI) protocol [3] . Articles will be considered at low or medium risk of bias if the total number of high or uncertain risk of bias or applicability concerns is zero or one, respectively. Articles with two or more risks of bias or applicability concerns, or only one risk of bias in the “index test” and “flow and time” domains, which should be qualifying questions, will be considered at high risk of bias.

Data synthesis and quantitative approaches

The data will be evaluated using the programming language “R” [4]  through the supplements

"meta" [5] and "metafor" [6]. The pooled effect estimates will be computed from odds ratio differences between treated and untreated groups. Data from intention-to-treat analyses will be entered whenever available in included studies. Authors will be contacted through emails for unreported data. Results will be presented as odds ratio and calculations will be performed using fixed effects models, except when heterogeneity was greater than 50% (by i²), when the random effects models will be adopted. Statistical heterogeneity among studies was evaluated by Cochran’s

Q test and I² inconsistency test; it will be considered that i² values over 50% indicated high heterogeneity [7]. Forest plots will be generated to present the pooled effect and the 95% confidence interval will be calculated.

[1] Brasil. Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos

em Saúde. Departamento de Assistência Farmacêutica e insumos Estratégicos. Relação Nacional de

Medicamentos Essenciais: RENAME 2020 [recurso eletrônico] / Ministério da

Saúde, Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos em

Saúde, Departamento de Assistência Farmacêutica e Insumos Estratégicos. – Brasília:

Ministério da Saúde, 2020. 217 p. Available from: hp://bvsms.saude.gov.br/bvs/publicacoes/relacao_medicamentos_rename_2020.pdf

Acesso em setembro de2022.

[2] Pouzas, T., Martins, S., Maia, R., Romanelli, D.

C., Vanni, F. D. S., Viana, E., Carellos, M. Treat or not to treat infant with

possible congenital toxoplasmosis? Diagnostic classification system could aid

decision. Revista Médica de Minas Gerais. v. 27, 2021.

 [3] Peters, Micah D.

J et al. The Joanna Briggs

Institute reviewers' manual 2015: methodology for JBI scoping reviews. Adelaide:

The Joanna Briggs Institute. 2015. Available from:

http://joannabriggs.org/assets/docs/sumari/Reviewers-Manual_Methodology-for-JBI-Scoping-Reviews_2015_v2.pdf.

[4] R Core Team. R: a language and environment for

statistical computing [Internet]. Vienna R Foundation for Statistical

Computing; 2019. Available from: http://www.r-project.org

[5] Balduzzi S, Rücker G, Schwarzer G. How to perform

a meta-analysis with R: a practical tutorial. Evid Based Ment Health. 2019;

[6]Viechtbauer W. Conducting meta-analyses in R with the metafor package. J Stat

Softw. 2010;36:1–48.

[7] Higgins JPT, Thompson SG, Spiegelhalter DJ. A

re-evaluation of random-effects meta-analysis. Journal of the Royal Statistical

Society: Series A (Statistics in Society) 2011; 172: 137-159.