Evidence map›Paper›PMID 33244228›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2020

The Value of Inflammatory Biomarkers in Differentiating Asthma-COPD Overlap from COPD.

Meng Li, Tian Yang, Ruiqing He, Anqi Li, Wenhui Dang, Xinyu Liu, Mingwei Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Clinical Indicators for Asthma-COPD Overlap: A Systematic Review and Meta-Analysis.International journal of chronic obstructive pulmonary disease · 2022
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Observational
  6. Differential Clinical Significance of FENOJournal of asthma and allergy · 2024
    Article
  7. Article
  8. Investigating the Effects of a New Peptide, Derived from theInternational journal of molecular sciences · 2023
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. 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.

Meng Li *Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China.
Tian Yang *Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China.
Ruiqing HeDepartment of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China.
Anqi LiDepartment of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China.
Wenhui DangDepartment of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China.
Xinyu LiuDepartment of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China.
Mingwei ChenDepartment of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, People's Republic of China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the accuracy of inflammatory biomarkers in differentiating patients with asthma-COPD overlap (ACO) from those with COPD alone. Methods: Clinical data of 134 patients with COPD and 48 patients with ACO admitted to the First Affiliated Hospital of Xi'an Jiaotong University from January 2016 to June 2019 were retrospectively analyzed. Receiver operating characteristic (ROC) curve analysis was performed to determine the best cut-off values of fractional exhaled nitric oxide (FeNO), blood eosinophil counts (EOS), and neutrophil to lymphocyte ratio (NLR) for differentiating between ACO and COPD alone. Spearman correlation analysis was conducted to evaluate the relationships between these inflammatory biomarkers and the forced expiratory volume in one second/prediction (FEV Results: FeNO and EOS in the ACO patients were significantly higher than those in the COPD patients (FeNO: median 37.50 vs 24.50 ppb, Conclusion: The inflammatory biomarkers FeNO and EOS can be used as indicators for differentiating between ACO and COPD alone.

Indexed as

AsthmaPulmonary Disease, Chronic ObstructiveBiomarkersBreath TestsExhalationForced Expiratory VolumeHumansNitric OxideRetrospective StudiesBiomarkersNitric Oxideasthma–COPD overlapblood eosinophil countschronic obstructive pulmonary diseasefractional exhaled nitric oxideneutrophil to lymphocyte ratio

Identifiers

PMID33244228
PMCPMC7685357
OpenAlexW3099890914

What OpenQuestion holds

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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.