Evidence map›Paper›PMID 27226711›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2016

Quantitative computed tomography measurements of emphysema for diagnosing asthma-chronic obstructive pulmonary disease overlap syndrome.

Mengshuang Xie, Wei Wang, Shuang Dou, Liwei Cui, Wei Xiao

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.6field-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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Asthma and COPD Are Not Risk Factors for ICU Stay and Death in Case of SARS-CoV2 Infection.The journal of allergy and clinical immunology. In practice · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Risk factors predict frequent hospitalization in patients with acute exacerbation of COPD.International journal of chronic obstructive pulmonary disease · 2018
    Article
  13. High prevalence of bronchiectasis in emphysema-predominant COPD patients.International journal of chronic obstructive pulmonary disease · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

5 authors at 1 institution in 1 country.

Mengshuang XieDepartment of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China.
Wei WangDepartment of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China.
Shuang DouDepartment of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China.
Liwei CuiDepartment of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China.
Wei XiaoDepartment of Pulmonary Medicine, Qilu Hospital, Shandong University, Jinan, People's Republic of China.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnostic criteria of asthma-COPD overlap syndrome (ACOS) are controversial. Emphysema is characteristic of COPD and usually does not exist in typical asthma patients. Emphysema in patients with asthma suggests the coexistence of COPD. Quantitative computed tomography (CT) allows repeated evaluation of emphysema noninvasively. We investigated the value of quantitative CT measurements of emphysema in the diagnosis of ACOS.

methodsThis study included 404 participants; 151 asthma patients, 125 COPD patients, and 128 normal control subjects. All the participants underwent pulmonary function tests and a high-resolution CT scan. Emphysema measurements were taken with an Airway Inspector software. The asthma patients were divided into high and low emphysema index (EI) groups based on the percentage of low attenuation areas less than -950 Hounsfield units. The characteristics of asthma patients with high EI were compared with those having low EI or COPD.

resultsThe normal value of percentage of low attenuation areas less than -950 Hounsfield units in Chinese aged >40 years was 2.79%±2.37%. COPD patients indicated more severe emphysema and more upper-zone-predominant distribution of emphysema than asthma patients or controls. Thirty-two (21.2%) of the 151 asthma patients had high EI. Compared with asthma patients with low EI, those with high EI were significantly older, more likely to be male, had more pack-years of smoking, had more upper-zone-predominant distribution of emphysema, and had greater airflow limitation. There were no significant differences in sex ratios, pack-years of smoking, airflow limitation, or emphysema distribution between asthma patients with high EI and COPD patients. A greater number of acute exacerbations were seen in asthma patients with high EI compared with those with low EI or COPD.

conclusionAsthma patients with high EI fulfill the features of ACOS, as described in the Global Initiative for Asthma and Global Initiative for Chronic Obstructive Lung Disease guidelines. Quantitative CT measurements of emphysema may help in diagnosing ACOS.

Indexed as

Tomography, X-Ray ComputedAgedAsthmaCase-Control StudiesCross-Sectional StudiesDiagnosis, DifferentialDisease ProgressionFemaleForced Expiratory VolumeHumansLungMaleMiddle AgedPredictive Value of TestsProspective StudiesPulmonary Disease, Chronic ObstructiveasthmaCOPDemphysemaoverlap syndromequantitative CT

Identifiers

PMID27226711
PMCPMC4866743
OpenAlexW2353470804

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.