Evidence map›Paper›PMID 36465915›Full record

ArticleFrontiers in medicine2022

Using inflammatory index to distinguish asthma, asthma-COPD overlap and COPD: A retrospective observational study.

Haiman Ma, Liu Yang, Lingli Liu, Ying Zhou, Xiaoya Guo, Shuo Wu, Xiaoxiao Zhang, Xi Xu, Xinyu Ti, Shuoyao Qu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Plasma Levels of CXCL9 and MCP-3 are Increased in Asthma-COPD Overlap (ACO) Patients.International journal of chronic obstructive pulmonary disease · 2025
    Article
  6. Article
  7. 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

10 authors at 2 institutions in 1 country.

Haiman MaDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Liu YangDepartment of Clinical Laboratory, Xijing Hospital, Air Force Medical University, Xi'an, China.
Lingli LiuDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Ying ZhouDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xiaoya GuoDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Shuo WuDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xiaoxiao ZhangDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xi XuDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Xinyu TiDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Shuoyao QuDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi'an, China.
Air Force Medical University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although asthma and chronic obstructive pulmonary disease (COPD) are two well-defined and distinct diseases, some patients present combined clinical features of both asthma and COPD, particularly in smokers and the elderly, a condition termed as asthma-COPD overlap (ACO). However, the definition of ACO is yet to be established and clinical guidelines to identify and manage ACO remain controversial. Therefore, in this study, inflammatory biomarkers were established to distinguish asthma, ACO, and COPD, and their relationship with the severity of patients' symptoms and pulmonary function were explored. Materials and methods: A total of 178 patients, diagnosed with asthma ( Result: The results showed that, compared with ACO, the higher the indexes of platelet, neutrophil-lymphocyte ratio (NLR) and eosinophil-basophil ratio (EBR), the more likely the possibility of asthma and COPD in patients, while the higher the eosinophils, the less likely the possibility of asthma and COPD. Hemoglobin and lymphocyte-monocyte ratio (LMR) were negatively correlated with the severity of patients' symptoms, while platelet-lymphocyte ratio (PLR) was negatively correlated with forced expiratory volume in the 1 s/forced vital capacity (FEV Conclusion: Inflammatory indexes are biomarkers for distinguishing asthma, ACO, and COPD, which are of clinical significance in therapeutic strategies and prognosis evaluation.

Indexed as

asthmaasthma-COPD overlapbiomarkerchronic obstructive pulmonary diseaseinflammatory indexpulmonary functionroutine blood test

Identifiers

PMID36465915
PMCPMC9714673
OpenAlexW4309609396

What OpenQuestion holds

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LicenceCC BY
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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.