Evidence map›Paper›PMID 30442882›Full record

ArticleRevista espanola de salud publica2018

[Implementing a population-based rare diseases registry in Spain: the Navarre´s experience].

Esther Vicente, Marcela Guevara, María J Lasanta, María A Ramos-Arroyo, Eva Ardanaz

Abstract read
In one paragraph

Article in Revista espanola de salud publica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

5 authors.

Esther VicenteSección del Observatorio de la Salud Comunitaria. Servicio de Promoción de la Salud Comunitaria. Instituto de Salud Pública y Laboral de Navarra. Pamplona. España.
Marcela GuevaraSección del Observatorio de la Salud Comunitaria. Servicio de Promoción de la Salud Comunitaria. Instituto de Salud Pública y Laboral de Navarra. Pamplona. España.
María J LasantaServicio de Ciudadanía Sanitaria, Aseguramiento y Garantías. Dirección General de Salud de Gobierno de Navarra. Pamplona. España.
María A Ramos-ArroyoDepartamento de Ciencias de la Salud. Universidad Pública de Navarra. Pamplona. España.
Eva ArdanazSección del Observatorio de la Salud Comunitaria. Servicio de Promoción de la Salud Comunitaria. Instituto de Salud Pública y Laboral de Navarra. Pamplona. España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2012, the Spanish Rare Disease Registries Research Network (Spain-RDR) was consolidated with the aim of creating a Spanish population-based Rare Diseases Registry. In order to achieve this, each of the 17 Spanish Regions had to develop its own regional registry with a common agreed methodology. The Population-based Rare Disease Registry of Navarre was created in 2013 and, since then, its implementation is been carried out. Navarre assumed the agreed list within the Spanish Network, which included 934 codes of the International Classification of Diseases, 9th Revision, Clinical Modification. Initially, the main data source used to capture cases was the Assisted Morbidity Registry of Navarre, which includes the Minimum Basic Data Set of every regional hospital discharges (both public and private). Afterwards, new data sources were been added and ongoing validation studies of captured cases were been developed. Population-based rare diseases registries are fundamental for the study and quantification of this type of diseases since the classification and coding systems used in the current healthcare information systems are very nonspecific. The analysis and cross-referencing of data among multiple data sources is essential to maximize case detection capacity. Due to the low prevalence of these diseases, a high false positives rate among the detected cases greatly affects the estimation of epidemiological indicators, which makes it necessary to validate the cases by verifying the diagnoses.

Indexed as

Patient DischargeRegistriesDatabases, FactualFalse Positive ReactionsFemaleHumansInternational Classification of DiseasesMaleRare DiseasesReproducibility of ResultsSpainEpidemiologyInformation systemsPrevalenceRare diseasesRegistriesSpain

Identifiers

PMID30442882
PMCPMC11587354

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.