Evidence map›Paper›PMID 33480849›Full record

ArticleJMIR research protocols2021

Mapping, Infrastructure, and Data Analysis for the Brazilian Network of Rare Diseases: Protocol for the RARASnet Observational Cohort Study.

Domingos Alves, Diego Bettiol Yamada, Filipe Andrade Bernardi, Isabelle Carvalho, Márcio Eloi Colombo Filho, Mariane Barros Neiva, Vinícius Costa Lima, Têmis Maria Félix

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. The Minimum Data Set for Rare Diseases: Systematic Review.Journal of medical Internet research · 2023
    Pooled it
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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

8 authors at 1 institution in 1 country.

Domingos Alves *Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.ORCID https://orcid.org/0000-0002-0800-5872
Diego Bettiol Yamada *Public Health Postgraduate Program, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.ORCID https://orcid.org/0000-0001-6221-722X
Filipe Andrade Bernardi *Bioengineering Postgraduate Program, School of Engineering, University of São Paulo, São Carlos, Brazil.ORCID https://orcid.org/0000-0002-9597-5470
Isabelle Carvalho *Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil.ORCID https://orcid.org/0000-0002-1384-6166
Márcio Eloi Colombo Filho *Bioengineering Postgraduate Program, School of Engineering, University of São Paulo, São Carlos, Brazil.ORCID https://orcid.org/0000-0003-3779-0192
Mariane Barros Neiva *Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, Brazil.ORCID https://orcid.org/0000-0002-0371-5859
Vinícius Costa Lima *Bioengineering Postgraduate Program, School of Engineering, University of São Paulo, São Carlos, Brazil.ORCID https://orcid.org/0000-0002-2467-358X
Têmis Maria Félix *Medical Genetics Service, Porto Alegre Clinical Hospital, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-8401-6821
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA rare disease is a medical condition with low prevalence in the general population, but these can collectively affect up to 10% of the population. Thus, rare diseases have a significant impact on the health care system, and health professionals must be familiar with their diagnosis, management, and treatment.

objectiveThis paper aims to provide health indicators regarding the rare diseases in Brazil and to create a network of reference centers with health professionals from different regions of the country. RARASnet proposes to map, analyze, and communicate all the data regarding the infrastructure of the centers and the patients' progress or needs. The focus of the proposed study is to provide all the technical infrastructure and analysis, following the World Health Organization and the Brazilian Ministry of Health guidelines.

methodsTo build this digitized system, we will provide a security framework to assure the privacy and protection of each patient when collecting data. Systems development life cycle methodologies will also be applied to align software development, infrastructure operation, and quality assurance. After data collection of all information designed by the specialists, the computational analysis, modeling, and results will be communicated in scientific research papers and a digital health observatory.

resultsThe project has several activities, and it is in an initial stage. Initially, a survey was given to all health care centers to understand the technical aspects of each network member, such as the existence of computers, technical support staff, and digitized systems. In this survey, we detected that 59% (23/39) of participating health units have electronic medical records, while 41% (16/39) have paper records. Therefore, we will have different strategies to access the data from each center in the data collection phase. Later, we will standardize and analyze the clinical and epidemiological data and use these data to develop a national network for monitoring rare diseases and a digital health observatory to make the information available. The project had its financing approved in December 2019. Retrospective data collection started in October 2020, and we expect to finish in January 2021. During the third quarter of 2020, we enrolled 40 health institutions from all regions of Brazil.

conclusionsThe nature of rare disease diagnosis is complex and diverse, and many problems will be faced in the evolution of the project. However, decisions based on data analysis are the best option for the improvement of the rare disease network in Brazil. The creation of RARASnet, along with all the digitized infrastructure, can improve the accessibility of information and standardization of rare diseases in the country. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/24826.

Indexed as

data sciencedigital healthhealth networkhealth observatoryrare disease

Identifiers

PMID33480849
PMCPMC7864771
OpenAlexW3112861857

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.