Evidence map›Paper›PMID 23166537›Full record

ArticleHepatitis monthly2012

Alpha-1 Antitrypsin Deficiency PI*Z and PI*S Gene Frequency Distribution Using on Maps of the World by an Inverse Distance Weighting (IDW) Multivariate Interpolation Method.

Ignacio Blanco, Frederick J de Serres, Victoriano Cárcaba, Beatríz Lara, Enrique Fernández-Bustillo

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis monthly, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

17 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Variants ofTherapeutic advances in chronic disease · 2021
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Current and new challenges in occupational lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2017
    Review
  12. Alpha-1 antitrypsin Pi*SZ genotype: estimated prevalence and number of SZ subjects worldwide.International journal of chronic obstructive pulmonary disease · 2017
    Article
  13. Alpha-1 antitrypsin Pi*Z gene frequency and Pi*ZZ genotype numbers worldwide: an update.International journal of chronic obstructive pulmonary disease · 2017
    Article
  14. Targeted screening programmes in COPD: how to identify individuals with α1-antitrypsin deficiency.European respiratory review : an official journal of the European Respiratory Society · 2015
    Review
  15. Review
  16. Article
  17. Prevalence of alpha-1 antitrypsin deficiency and allele frequency in patients with COPD in Brazil.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia
    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 at 5 institutions in 2 countries.

Ignacio BlancoThe Principality of Asturias Biomedical Research Office (OIB-FICYT), Oviedo, Spain ; Alpha1-Antitrypsin Deficiency Spanish Registry, Barcelona, Spain.
Frederick J de Serres
Victoriano Cárcaba
Beatríz Lara
Enrique Fernández-Bustillo
Foundation for the Promotion of Applied Scientific Research and Technology in Asturias · ESHospital Universitari Arnau de Vilanova · ESHospital Universitario Central de Asturias · ESHospital Valle del Nalón · ESTriangle · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelled.

backgroundCurrently, there is a remarkable lack of genetic epidemiological studies on alpha 1-antitrypsin (AAT) deficiency in about half of the 193 countries of the World. This fact impedes the establishment of a true prevalence pattern of this deleterious hereditary disorder in extensive regions of human population. 2.

objectivesThe aim of the present study was to generate detailed maps of the frequency distribution of the two most frequent AAT deficiency alleles (i.e., PI*S and PI*Z) in all areas of the World. 3. MATERIALS AND

methodsAvailable data provided by epidemiological studies performed in 94 of 193 countries worldwide was used to develop detailed maps of these two alleles, We employed an informatics mathematical approach, namely: the ArcMap [a component of ESRI's ArcGIS Geographical Information System (GIS), for Microsoft Windows], based on the inverse distance weighting (IDW) multivariate interpolation method, which creates new numerical points from known data, using a simple logarithm based in the distance existing between them 4.

resultsIn this method, PI*S and PI*Z frequencies were represented by colored scales, where qualitative colors were converted into quantitative data, providing information on their distribution in all parts of the world. This approach not only confirmed our previous data, but also provided digital images of the remaining regions of all continents. 5.

conclusionsBy using this approach, striking differences were found among regions, and unsuspected significant values of the PI*S and PI*Z alleles frequencies were obtained for several geographic regions where have not been studied yet. In fact, some of these regions might be considered as priority targets for further screening studies on AAT deficiency, in order to identify, and properly manage, individuals at risk for the diverse adverse health effects associated with AAT deficiency.

Indexed as

Alpha 1-AntitrypsinAlpha 1-Antitrypsin DeficiencyMolecular Epidemiology

Identifiers

PMID23166537
PMCPMC3500828
OpenAlexW2156543467

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.