Evidence map›Paper›PMID 33273887›Full record

ArticleMediators of inflammation2020

Clinical Differences between Eosinophilic and Noneosinophilic Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Multicenter Cross-Sectional Study.

Guangming Dai, Yajuan Ran, Jiajia Wang, Xingru Chen, Junnan Peng, Xinglong Li, Huojin Deng, Min Xiao, Tao Zhu

Abstract readMulticenter Study
In one paragraph

Article in Mediators of inflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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.

Guangming DaiRespiratory Department, First People's Hospital of Suining City, 629000 Suining, Sichuan, China.
Yajuan RanPharmacy Department, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China.
Jiajia WangRheumatology Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China.
Xingru ChenRespiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China.
Junnan PengRespiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China.ORCID https://orcid.org/0000-0003-0638-7659
Xinglong LiRespiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China.
Huojin DengRespiratory Medicine, Zhujiang Hospital of Southern Medical University, Guangzhou 510280, China.
Min XiaoRespiratory Medicine, and Division of Pulmonary Diseases, State Key Laboratory of Biotherapy of China, West China Hospital of Sichuan University, Chengdu 610041, China.
Tao ZhuRespiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, 400010 Chongqing, China.ORCID https://orcid.org/0000-0001-9622-2721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsA total of 643 AECOPD patients were enrolled in this multicenter cross-sectional study. Finally, 455 were included, 214 in the normal-eosinophil AECOPD (NEOS-AECOPD) group, 63 in the mild increased-eosinophil AECOPD (MEOS-AECOPD) group, and 138 in the severe increased-eosinophil AECOPD (SEOS-AECOPD) group. Demographic data, underlying diseases, symptoms, and laboratory findings were collected. Multiple logistic regression analysis was performed to identify the independent factors associated with blood eosinophils (EOS). Correlations between blood EOS and its associated independent factors were evaluated.

resultsThe significant differences in 19 factors, including underlying diseases, clinical symptoms, and laboratory parameters, were identified by univariate analysis. Subsequently, multiple logistic regression analysis revealed that lymphocyte%, neutrophil% (NS%), procalcitonin (PCT), and anion gap (AG) were independently associated with blood EOS in AECOPD. Both blood EOS counts and EOS% were significantly correlated with lymphocyte%, NS%, PCT, and AG.

conclusionsCollectively, blood EOS was independently associated with lymphocyte%, NS%, PCT, and AG in AECOPD patients. Lymphocyte% was lower, and NS%, PCT, and AG were higher in eosinophilic AECOPD. Our results indicate that viral-dominant infections are the probable major etiologies of eosinophilic AECOPD. Noneosinophilic AECOPD is more likely associated with bacterial-dominant infections. The systemic inflammation in noneosinophilic AECOPD was more severe.

Indexed as

AgedCross-Sectional StudiesDisease ProgressionEosinophiliaEosinophilsFemaleHumansInflammationLeukocyte CountLymphocytesMaleMiddle AgedNeutrophilsProcalcitoninPulmonary Disease, Chronic ObstructiveRegression AnalysisProcalcitonin

Identifiers

PMID33273887
PMCPMC7676927

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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.