Evidence map›Paper›PMID 33568143›Full record

ArticleOrphanet journal of rare diseases2021

Validation of diagnostic codes and epidemiologic trends of Huntington disease: a population-based study in Navarre, Spain.

Esther Vicente, Ainara Ruiz de Sabando, Fermín García, Itziar Gastón, Eva Ardanaz, María A Ramos-Arroyo

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 27% 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, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Prevalence and Incidence of Huntington's Disease: An Updated Systematic Review and Meta-Analysis.Movement disorders : official journal of the Movement Disorder Society · 2022
    Pooled it
  3. Observational
  4. Article
  5. Observational
  6. Article
  7. Review
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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

6 authors at 3 institutions in 1 country.

Esther Vicente *Community Health Observatory Section, Instituto de Salud Pública y Laboral de Navarra, IdiSNA (Navarre Institute for Health Research), Pamplona, Spain. evicentc@navarra.es.ORCID 0000-0002-1061-2292
Ainara Ruiz de Sabando *Department of Health Sciences, Universidad Pública de Navarra, IdiSNA, Pamplona, Spain.ORCID 0000-0003-3634-465X
Fermín GarcíaDepartment of Medical Genetics, Complejo Hospitalario de Navarra, IdiSNA, Pamplona, Spain.ORCID 0000-0003-0559-9131
Itziar GastónDepartment of Neurology, Complejo Hospitalario de Navarra, IdiSNA, Pamplona, Spain.
Eva ArdanazCommunity Health Observatory Section, Instituto de Salud Pública y Laboral de Navarra, IdiSNA (Navarre Institute for Health Research), Pamplona, Spain.ORCID 0000-0001-8434-2013
María A Ramos-ArroyoDepartment of Health Sciences, Universidad Pública de Navarra, IdiSNA, Pamplona, Spain.ORCID 0000-0002-7171-9202
Universidad Publica de Navarra · ESComplejo Hospitalario de Navarra · ESInstituto de Salud Pública de Navarra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is great heterogeneity on geographic and temporary Huntington disease (HD) epidemiological estimates. Most research studies of rare diseases, including HD, use health information systems (HIS) as data sources. This study investigates the validity and accuracy of national and international diagnostic codes for HD in multiple HIS and analyses the epidemiologic trends of HD in the Autonomous Community of Navarre (Spain).

methodsHD cases were ascertained by the Rare Diseases Registry and the reference Medical Genetics Centre of Navarre. Positive predictive values (PPV) and sensitivity with 95% confidence intervals (95% CI) were estimated. Overall and 9-year periods (1991-2017) HD prevalence, incidence and mortality rates were calculated, and trends were assessed by Joinpoint regression.

resultsOverall PPV and sensitivity of combined HIS were 71.8% (95% CI: 59.7, 81.6) and 82.2% (95% CI: 70.1, 90.4), respectively. Primary care data was a more valuable resource for HD ascertainment than hospital discharge records, with 66% versus 50% sensitivity, respectively. It also had the highest number of "unique to source" cases. Thirty-five per cent of HD patients were identified by a single database and only 4% by all explored sources. Point prevalence was 4.94 (95% CI: 3.23, 6.65) per 100,000 in December 2017, and showed an annual 6.1% increase from 1991 to 1999. Incidence and mortality trends remained stable since 1995-96, with mean annual rates per 100,000 of 0.36 (95% CI: 0.27, 0.47) and 0.23 (95% CI: 0.16, 0.32), respectively. Late-onset HD patients (23.1%), mean age at onset (49.6 years), age at death (66.6 years) and duration of disease (16.7 years) were slightly higher than previously reported.

conclusionHD did not experience true temporary variations in prevalence, incidence or mortality over 23 years of post-molecular testing in our population. Ascertainment bias may largely explain the worldwide heterogeneity in results of HD epidemiological estimates. Population-based rare diseases registries are valuable instruments for epidemiological studies on low prevalence genetic diseases, like HD, as long as they include validated data from multiple HIS and genetic/family information.

Indexed as

Huntington DiseaseHumansIncidencePrevalenceRegistriesSpainDiagnostic codesHuntington diseaseIncidenceMortalityPositive predictive valuePrevalenceRare Diseases RegistrySensitivityTrends

Identifiers

PMID33568143
PMCPMC7877055
OpenAlexW3126908949

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.