Evidence map›Paper›PMID 37970896›Full record

ArticleRevista espanola de salud publica2023

[Prevalencia de la Telangiectasia Hemorrágica Hereditaria: estudio de base poblacional en la Comunitat Valenciana (España).]

Miriam de la Natividad Palomares, Laia Barrachina-Bonet, Laura García-Villodre, Sandra Guardiola-Vilarroig, Óscar Zurriaga Llorens, Clara Cavero-Carbonell

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Revista espanola de salud publica, 2023. 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, 0 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

Miriam de la Natividad PalomaresUnidad Mixta de Investigación en Enfermedades Raras; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana-Universitat de València (FISABIO-UVEG). Valencia. España.
Laia Barrachina-BonetUnidad Mixta de Investigación en Enfermedades Raras; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana-Universitat de València (FISABIO-UVEG). Valencia. España.
Laura García-VillodreUnidad Mixta de Investigación en Enfermedades Raras; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana-Universitat de València (FISABIO-UVEG). Valencia. España.
Sandra Guardiola-VilarroigUnidad Mixta de Investigación en Enfermedades Raras; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana-Universitat de València (FISABIO-UVEG). Valencia. España.
Óscar Zurriaga LlorensUnidad Mixta de Investigación en Enfermedades Raras; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana-Universitat de València (FISABIO-UVEG). Valencia. España.
Clara Cavero-CarbonellUnidad Mixta de Investigación en Enfermedades Raras; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana-Universitat de València (FISABIO-UVEG). Valencia. España.
Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana · ESGeneralitat Valenciana · ESUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Hereditary Haemorrhagic Telangiectasia (HHT) is a low prevalence disease which presents heterogeneous signs and symptoms and just few population-based epidemiological studies are available. The aims of this paper were to describe the sociodemographic characteristics of people affected by HHT in the Valencian Region (VR), to determine its prevalence and mortality rate, and to analyse the sources of recruitment and verification tests used by the Rare Diseases Information System of the VR (SIER-CV).

methodsCross-sectional observational epidemiological study of HHT prevalent cases between 2010-2019 in SIER-CV was performed. The distribution of sociodemographic and clinical characteristics were determined, the prevalence and mortality rates, and the sources of recruitment and verification tests used by SIER-CV were analysed. Statistical analysis was performed using Stata (version 16.1) and Microsoft Excel Office.

resultsDuring 2010-2019, two hundred cases were identified, 55.5% were female. The mean ages were: 56.8 years at recruitment and 50.9 years at diagnosis. 48.4% of cases were diagnosed between thirty-six/sixty-four years of age. 25.5% died, with a mean age of 76.6 years, identifying statistically significant differences above the age of 64. The prevalence was 39.6/1,000,000 inhabitants and the crude mortality rate was 10.1/1,000,000 inhabitants. 95.5% of cases were recruited from the Hospital discharges database and the most frequent verification test was the clinical basis (45.7%).

conclusionsThe increasing trend in prevalence coincides with a better knowledge of HHT, which favours its detection, and also with dying at older ages. To describe the situation of HHT in the VR facilitates its health management and contributes to the establishment of the relevant health policies for the HHT. The need to promote genetic diagnosis and to incorporate the Primary Care Clinical History as a source of recruitment in the population-based registries has been shown.

Indexed as

Telangiectasia, Hereditary HemorrhagicAgedCross-Sectional StudiesDeathFemaleHumansMaleMiddle AgedPrevalenceSpainEpidemiologyHereditary Haemorrhagic TelangiectasiaInformation systemsMortalityPrevalenceRare diseasesSpain

Identifiers

PMID37970896
PMCPMC11567642
OpenAlexW4388801440

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.