Evidence map›Paper›PMID 38502167›Full record

ArticleRevista de neurologia2024

[Core data set for real world data in multiple sclerosis: customization for latin america from a global task force recommendation].

J I Rojas, F Gracia, T Parciak, R Alonso, J Becker, I Treviño-Frenk, M Alonso-Serena, D Giunta, P Abad, E Carnero-Contentti and 17 more

Abstract readEnglish Abstract
In one paragraph

Article in Revista de neurologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

27 authors.

J I RojasHospital Alemán, Buenos Aires, Argentina.
F GraciaHospital Santo Tomás, Panamá, República de Panamá.
T ParciakUniversidad Hasselt, Diepenbeek, Bélgica.
R AlonsoHospital J. M. Ramos Mejía, Buenos Aires, Argentina.
J BeckerUniversidad Pontificia de Rio Grande do Sul, Porto Alegre, Brasil.
I Treviño-FrenkInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México.
M Alonso-SerenaHospital Italiano de Buenos Aires, Buenos Aires, Argentina.
D GiuntaHospital Italiano de Buenos Aires, Buenos Aires, Argentina.
P AbadHospital Metropolitano de Quito, Quito, Ecuador.
E Carnero-ContenttiHospital Alemán de Buenos Aires, Buenos Aires, Argentina.
A CarráHospital Británico, Buenos Aires, Argentina.
E P Correa-DíazHospital Carlos Andrade Marín. Universidad Central del Ecuador, Quito, Ecuador.
J CorrealeFleni, Buenos Aires, Argentina.
E CristianoCentro de Esclerosis Múltiple de Buenos Aires (CEMBA), Buenos Aires, Argentina.
J FloresInstituto Nacional de Neurología y Neurocirugía, Ciudad de México, México.
M FrunsClínica Las Condes , Santiago de Chile, Chile.
L GalleguillosClinica Alemana, Santiago de Chile, Chile.
O GarceaHospital J. M. Ramos Mejía, Buenos Aires, Argentina.
F HamuyHospital IMT, Asunción, Paraguay.
M Lana-PeixotoUniversidad Federal de Minas Gerais, Belo Horizonte, Brasil.
C NavasClínica Universitaria Colombia, Bogotá, Colombia.
R Pappais-AlvarengaUniversidad Federal de Río de Janeiro, Rio de Janeiro, Brasil.
L PatruccoCentro de Esclerosis Múltiple de Buenos Aires (CEMBA), Buenos Aires, Argentina.
V RiveraUniversidad de Medicina Baylor, Houston, EE.UU.
S TenembaumHospital de Pediatría Prof. Dr. Juan P. Garrahan, Buenos Aires, Argentina.
M C YsrraelitFleni, Buenos Aires, Argentina.
L M PeetersUniversidad Hasselt, Diepenbeek, Bélgica.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe primary objective of the core data set is to reduce heterogeneity and promote harmonization among data sources in EM, thereby reducing the time needed to execute real life data collection efforts. Recently, a group led by the Multiple Sclerosis Data Alliance has developed a core data set for collecting real-world data on multiple sclerosis (MS) globally. Our objective was to adapt this global data set to the needs of Latin America, so that it can be implemented by the registries already developed and in the process of development in the region. MATERIAL AND

methodsA working group was formed regionally, the core data set created globally was adapted (translation process into Spanish, incorporation of regional variables and consensus on variables to be used). Consensus was obtained through the remote Delphi methodology of a round of questionnaires and remote discussion of the core data set variables.

resultsA total of 25 professionals from Latin America carried out the adaptation process between November 2022 and July 2023. Agreement was established on a core data set of nine categories and 45 variables, version 2023 to suggest its implementation in developed or developing registries, and MS cohorts in the region.

conclusionThe core data set seeks to harmonize the variables collected by registries and cohorts in MS in Latin America in order to facilitate said collection and allow collaboration between sources. Its implementation will facilitate real life data collection and collaboration in the region.

Indexed as

Multiple SclerosisAdvisory CommitteesConsensusHumansLatin AmericaRegistries

Identifiers

PMID38502167
PMCPMC11407452

What OpenQuestion holds

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Registered trials

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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.