Evidence map›Paper›PMID 30630519›Full record

ArticleBMC research notes2019

Alpha 1-antitrypsin deficiency in patients with chronic obstructive pulmonary disease patients: is systematic screening necessary?

Cláudia Henrique da Costa, Arnaldo José Noronha Filho, Rosa Maria Fernambel Marques E Silva, Thaís Ferrari da Cruz, Valeria de Oliveira Monteiro, Margareth Pio, Rogério Lopes Rufino

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-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

11 citing papers in PubMed, 34 citations in OpenAlex.

  1. Alpha-1 Antitrypsin Levels and Phenotypes in Patients with Asthma and COPD in Appalachian East Tennessee.International journal of chronic obstructive pulmonary disease · 2026
    Article
  2. Observational
  3. Article
  4. Regenerative and translational medicine in COPD: hype and hope.European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
  5. Article
  6. Twenty years of changes in the definition of early chronic obstructive pulmonary disease.Chinese medical journal pulmonary and critical care medicine · 2023
    Review
  7. High-Density Lipoproteins: A Role in Inflammation in COPD.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Article
  10. Focus on Early COPD: Definition and Early Lung Development.International journal of chronic obstructive pulmonary disease
    Review
  11. Update on and future perspectives for the diagnosis of alpha-1 antitrypsin deficiency 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

7 authors at 1 institution in 1 country.

Cláudia Henrique da CostaChest Department, State University of Rio de Janeiro (UERJ), Av. Marechal Rondon, 381, São Francisco Xavier, Rio de Janeiro, RJ, 20950-000, Brazil. ccosta.uerj@gmail.com.
Arnaldo José Noronha FilhoChest Department, State University of Rio de Janeiro (UERJ), Av. Marechal Rondon, 381, São Francisco Xavier, Rio de Janeiro, RJ, 20950-000, Brazil.
Rosa Maria Fernambel Marques E SilvaChest Department, State University of Rio de Janeiro (UERJ), Av. Marechal Rondon, 381, São Francisco Xavier, Rio de Janeiro, RJ, 20950-000, Brazil.
Thaís Ferrari da CruzChest Department, State University of Rio de Janeiro (UERJ), Av. Marechal Rondon, 381, São Francisco Xavier, Rio de Janeiro, RJ, 20950-000, Brazil.
Valeria de Oliveira MonteiroChest Department, State University of Rio de Janeiro (UERJ), Av. Marechal Rondon, 381, São Francisco Xavier, Rio de Janeiro, RJ, 20950-000, Brazil.
Margareth PioChest Department, State University of Rio de Janeiro (UERJ), Av. Marechal Rondon, 381, São Francisco Xavier, Rio de Janeiro, RJ, 20950-000, Brazil.
Rogério Lopes RufinoChest Department, State University of Rio de Janeiro (UERJ), Av. Marechal Rondon, 381, São Francisco Xavier, Rio de Janeiro, RJ, 20950-000, Brazil.
Universidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAlpha-1-antitrypsin deficiency is a relatively prevalent, but under-diagnosed, genetic disease. The objective of this study was to assess whether the systematic screening for alpha-1-antitrypsin deficiency in all patients with chronic obstructive pulmonary disease from a tertiary service has an impact on the number of patients being diagnosed with this condition.

resultsChronic obstructive pulmonary disease patients were screened for alpha-1-antitrypsin deficiency using immunonephelometry. The presence of a mutation was confirmed by molecular study of the SERPINA1 gene or by genetic sequencing, as needed. A total of 551 patients with chronic obstructive pulmonary disease were analyzed. Among these, 40 (7.2%) had some genetic mutation, while 11 (2%) had a Pi*ZZ genotype, resulting in severe respiratory illness. The systematic evaluation of chronic obstructive pulmonary disease patients revealed that screening is an effective method to diagnose alpha-1-antitrypsin deficiency. Early diagnosis may facilitate smoking cessation and initiation of treatment to maintain lung function.

Indexed as

Agedalpha 1-Antitrypsinalpha 1-Antitrypsin DeficiencyBrazilFemaleHumansImmunoturbidimetryMaleMiddle AgedMutationPulmonary Disease, Chronic ObstructiveTertiary Care Centersalpha 1-AntitrypsinSERPINA1 protein, humanAATCOPDImmunonephelometrySERPINA1Severe respiratory illness

Identifiers

PMID30630519
PMCPMC6329068
OpenAlexW2914118032

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.