Evidence map›Paper›PMID 30425468›Full record

Trial reportInternational journal of chronic obstructive pulmonary disease

Difference in systemic inflammation and predictors of acute exacerbation between smoking-associated COPD and tuberculosis-associated COPD.

Jee Youn Oh, Young Seok Lee, Kyung Hoon Min, Gyu Young Hur, Sung Yong Lee, Kyung Ho Kang, Chin Kook Rhee, Seoung Ju Park, Jae Jeong Shim

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Advances in the awareness of tuberculosis-associated chronic obstructive pulmonary disease.Chinese medical journal pulmonary and critical care medicine · 2024
    Review
  9. Article
  10. The Incidence, Risk Factors, and Predictive Model of Obstructive Disease in Post-Tuberculosis Patients.International journal of chronic obstructive pulmonary disease · 2024
    Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
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

9 authors at 2 institutions in 1 country.

Jee Youn OhDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea, jaejshim@kumc.or.kr.
Young Seok LeeDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea, jaejshim@kumc.or.kr.
Kyung Hoon MinDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea, jaejshim@kumc.or.kr.
Gyu Young HurDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea, jaejshim@kumc.or.kr.
Sung Yong LeeDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea, jaejshim@kumc.or.kr.
Kyung Ho KangDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea, jaejshim@kumc.or.kr.
Chin Kook RheeDivision of Pulmonary Medicine, Department of Internal Medicine, Catholic University Seoul Hospital, Seoul, Republic of Korea.
Seoung Ju ParkDivision of Pulmonary Medicine, Department of Internal Medicine, Chonbuk National University Hospital, Jeonju, Republic of Korea.
Jae Jeong ShimDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea, jaejshim@kumc.or.kr.
Korea University Medical Center · KRJeonbuk National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTuberculosis-associated COPD (T-COPD) has clinical characteristics similar to those of smoking-associated COPD (S-COPD), such as dyspnea, sputum production, and acute exacerbation (AE). However, the degree of systemic inflammation and prognosis might be different because of difference in the pathophysiology. The aim of this study was to compare the lung function, systemic inflammatory markers, and their impacts on AE in patients with S-COPD and T-COPD. PATIENTS AND

methodsWe performed a multicenter cross-sectional cohort study. We evaluated clinical characteristics, pulmonary function tests, levels of inflammatory markers, including C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and IL-6, and the association of these markers with AE in patients with S-COPD and T-COPD.

resultsPatients with T-COPD included more women and had lesser smoking history and higher St George Respiratory Questionnaire score than did patients with S-COPD. Although the FEV

conclusionPatients with T-COPD have higher levels of inflammatory markers, and IL-6 has a predictive value for AE in T-COPD.

Indexed as

Pulmonary Disease, Chronic ObstructiveSymptom Flare UpAgedBiomarkersBlood SedimentationCorrelation of DataC-Reactive ProteinCross-Sectional StudiesDyspneaFemaleHumansInflammationInterleukin-6MaleMiddle AgedRepublic of KoreaBiomarkersC-Reactive ProteinInterleukin-6biomarkerCOPDexacerbationinflammationtobacco smoketuberculosis

Identifiers

PMID30425468
PMCPMC6203117
OpenAlexW2896075128

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.