Evidence map›Paper›PMID 36068543›Full record

ArticleOrphanet journal of rare diseases2022

Behçet's disease in Wales: an epidemiological description of national surveillance data.

Annie Ashman, David Tucker, Ceri Williams, Llion Davies

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Annie AshmanPublic Health Wales, Capital Quarter 2, Tyndall Street, Cardiff, CF10 4BZ, UK. annie.ashman@wales.nhs.uk.ORCID 0000-0002-3181-4168
David TuckerCongenital Anomaly Register and Information Service, Public Health Wales, Capital Quarter 2, Tyndall Street, Cardiff, CF10 4BZ, UK.
Ceri WilliamsCongenital Anomaly Register and Information Service, Public Health Wales, Capital Quarter 2, Tyndall Street, Cardiff, CF10 4BZ, UK.
Llion DaviesPublic Health Wales, Capital Quarter 2, Tyndall Street, Cardiff, CF10 4BZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBehçet's disease is a rare, chronic, incurable, multisystemic disease. It causes significant morbidity, with patients experiencing symptoms including mucous membrane ulcers, and joint pain and swelling. It is an important cause of avoidable blindness due to ocular involvement. The aetiology is unknown. The aims were to identify population prevalence of Behçet's disease in Wales in comparison to other endemic and non-endemic regions, and provide an epidemiological profile of a case series of adult patients. This is the first analysis of data from the Adult Rare Diseases Surveillance Registry for Wales, established in 2020 as part of the COVID-19 pandemic response.

resultsBetween 1995 and 2020, 347 adults and 5 children were recorded in Wales with a diagnosis of Behçet's disease. Population prevalence was calculated as 11.1 per 100,000 population. Of the adult cases, 76.9% were female, and 6.6% died before the end of the study period. When comparing genders, there were no statistically significant differences in age at diagnosis, mortality or socioeconomic status. There was no evidence that the age at which cases were diagnosed had changed over time. Survival analyses showed no significant differences in durations of survival between genders or individuals residing in different WIMD 2019 quintiles. Age at diagnosis was the only factor significantly and independently associated with poorer durations of survival (p < 0.001).

Indexed as

Behcet SyndromeCOVID-19AdultChildFemaleHumansMalePandemicsPrevalenceWalesAdult diseaseBehçet’s diseaseRare diseaseSurveillance registryWales

Identifiers

PMID36068543
PMCPMC9449262

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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.