Evidence map›Paper›PMID 31188934›Full record

ArticleGenetics and molecular biology2019

Information and Diagnosis Networks - tools to improve diagnosis and treatment for patients with rare genetic diseases.

Taiane Alves Vieira, Franciele Barbosa Trapp, Carolina Fischinger Moura de Souza, Lavínia Schuler Faccini, Laura Bannach Jardim, Ida Vanessa Doederlein Schwartz, Mariluce Riegel, Carmen Regla Vargas, Maira Graeff Burin, Sandra Leistner-Segal and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Taiane Alves VieiraMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0001-9958-009X
Franciele Barbosa TrappMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.
Carolina Fischinger Moura de SouzaMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.
Lavínia Schuler FacciniMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0002-2428-0460
Laura Bannach JardimMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0001-6907-5068
Ida Vanessa Doederlein SchwartzMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.
Mariluce RiegelMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0002-6397-1301
Carmen Regla VargasMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.
Maira Graeff BurinMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.
Sandra Leistner-SegalMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0003-3792-6168
Patrícia Ashton-ProllaMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0002-5093-4739
Roberto GiuglianiMedical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0001-9655-3686
Hospital de Clínicas de Porto Alegre · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil is a country of continental dimensions and most genetic services are concentrated in the Southeast and South, including the Medical Genetics Service of the Hospital de Clínicas de Porto Alegre (MGS/HCPA). As many areas on the country do not have adequate medical genetics support, networks were designed to extend the service of the MGS/HCPA reference center. This paper presents the information and diagnosis networks that have their headquarters at MGS/HCPA: SIAT (National Information System on Teratogenic Agents), SIEM (Information Service on Inborn Errors of Metabolism), Alô Genética (Hello Genetics - Medical Genetics Information Service for Primary Health Care Professionals); Rede MPS Brasil (MPS-Mucopolysaccharidosis Brazil Network); Rede EIM Brasil (IEM-Inborn Errors of Metabolism Brazil Network), Rede NPC Brasil (Niemann-Pick C - NPC Brazil Network), Rede DLD Brasil (LSD-Lysosomal Storage Disorders Brazil Network), Rede DXB (MSUD-Maple Syrup Urine Disease Network), RedeBRIM (Brazilian Network of Reference and Information in Microdeletion Syndromes Project), Rede Neurogenética (Neurogenetics Network), and Rede Brasileira de Câncer Hereditário (Brazilian Hereditary Cancer Network). These tools are very useful to provide access to a qualified information and/or diagnostic service for specialized and non-specialized health services, bypassing difficulties that preclude patients to access reference centers.

Identifiers

PMID31188934
PMCPMC6687351
OpenAlexW2950187689

What OpenQuestion holds

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LicenceCC BY
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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.