Evidence map›Paper›PMID 27010214›Full record

ArticlePloS one2016

COPD in Nonsmokers: Reports from the Tunisian Population-Based Burden of Obstructive Lung Disease Study.

Meriam Denguezli, Hager Daldoul, Imed Harrabi, Louisa Gnatiuc, Sonia Coton, Peter Burney, Zouhair Tabka

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
3.8field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Guideline
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. COPD in Never-Smokers: BOLD Australia Study.International journal of chronic obstructive pulmonary disease · 2024
    Article
  12. Analysis of COPD: Distinguishing Characteristics and Management of Smoking vs Never Smoking Patients.International journal of chronic obstructive pulmonary disease · 2024
    Article
  13. Observational
  14. Article
  15. Article
  16. Prevalence and determinants of chronic respiratory diseases in adults in rural Sudan.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
  17. Early Origins of Chronic Obstructive Pulmonary Disease: Prenatal and Early Life Risk Factors.International journal of environmental research and public health · 2023
    Review
  18. Article
  19. OscillococcinumDrugs in context · 2021
    Article
  20. 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 3 institutions in 2 countries.

Meriam DenguezliLaboratory of Physiology, Faculty of Medicine Ibn El Jazzar, Sousse, Tunisia.
Hager DaldoulLaboratory of Physiology, Faculty of Medicine Ibn El Jazzar, Sousse, Tunisia.
Imed HarrabiDepartment of Epidemiology, University Hospital Farhat Hached, Sousse, Tunisia.
Louisa GnatiucNational Heart and Lung Institute, Imperial College London, Royal Brompton Campus, London, United Kingdom.
Sonia CotonNational Heart and Lung Institute, Imperial College London, Royal Brompton Campus, London, United Kingdom.
Peter BurneyNational Heart and Lung Institute, Imperial College London, Royal Brompton Campus, London, United Kingdom.
Zouhair TabkaLaboratory of Physiology, Faculty of Medicine Ibn El Jazzar, Sousse, Tunisia.
Imperial College London · GBUniversity of Sousse · TNHôpital Farhat Hached · TN

Funding

Wellcome TrustWellcome Trust 085790/Z/08/Z
6 · The paper itself

Abstract

backgroundIt's currently well known that smoking and increasing age constitute the most important risk factors for chronic obstructive pulmonary disease (COPD). However, little is known about COPD among nonsmokers. The present study aimed to investigate prevalence, risk factors and the profiles of COPD among nonsmokers based on the Tunisian Burden of Obstructive Lung Disease (BOLD) study.

methods807 adults aged 40 years+ were randomly selected from the general population. We collected information about history of respiratory disease, risk factors for COPD and quality of life. Post-bronchodilator spirometry was performed for assessment of COPD. COPD diagnostic was based on the post-bronchodilator FEV1/FVC ratio, according to the Global Initiative for Obstructive Lung Disease (GOLD) guidelines. The lower limit of normal (LLN) was determined as an alternative threshold for the FEV1/FVC ratio. RESULTS AND

conclusionsAmong 485 nonsmokers, 4.7% met the criteria for GOLD grade I and higher COPD. These proportions were similar even when the LLN was used as a threshold. None of the nonsmokers with COPD reported a previous doctor diagnosis of COPD compared to 7.1% of smokers. Nonsmokers accounted for 45.1% of the subjects fulfilling the GOLD spirometric criteria of COPD. Nonsmokers were predominately men and reported more asthma problems than obstructed smokers. Among nonsmokers significantly more symptoms and higher co-morbidity were found among those with COPD. Increasing age, male gender, occupational exposure, lower body mass index and a previous diagnosis of asthma are associated with increased risk for COPD in nonsmokers. This study confirms previous evidence that nonsmokers comprise a substantial proportion of individuals with COPD. Nonsmokers with COPD have a specific profile and should, thus, receive far greater attention to prevent and treat chronic airway obstruction.

Indexed as

AdultAgedAsthmaBody Mass IndexFemaleHumansLungMaleMiddle AgedPrevalencePulmonary Disease, Chronic ObstructiveRisk FactorsSmokingSpirometryTunisia

Identifiers

PMID27010214
PMCPMC4807055
OpenAlexW2303425537

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.