Evidence map›Paper›PMID 34306507›Full record

ArticleAmerican journal of translational research2021

Effects of azithromycin on treating chronic obstructive pulmonary disease with acute exacerbation of chronic bronchitis in the stable phase.

Yangfei Lu, Xiaobo Wang, Jun Zhao

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Yangfei LuDepartment of Respiratory Medicine, The First People's Hospital of Fuyang Hangzhou Hangzhou 311400, Zhejiang 311400, China.
Xiaobo WangDepartment of Respiratory Medicine, The First People's Hospital of Fuyang Hangzhou Hangzhou 311400, Zhejiang 311400, China.
Jun ZhaoDepartment of Respiratory Medicine, The First People's Hospital of Fuyang Hangzhou Hangzhou 311400, Zhejiang 311400, China.
The First People's Hospital of Guiyang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the effects of azithromycinon in treatment of chronic obstructive pulmonary disease (COPD) in patients with acute exacerbation (AE) of chronic bronchitis (CB) in the stable phase.

methodsTotally, 60 COPD patients with AE of CB were divided into control group (CG, 30 cases) and experimental group (EG, 30 cases) using the random number residue method. The CG was administered 250 mg salmeterol-fluticasone powder inhalation twice a day combined with 18 µg tiotropium bromide inhalation once a day. The EG was treated with 250 mg azithromycin tablets once a day in addition to the treatment of the CG. We compared the clinical effect, pulmonary function, and fractional exhaled nitric oxide index between two groups after treated for three-months.

resultsCompared with the CG, the EG showed a better clinical effect with a total effective rate at 86.67% after treatment (

conclusionsAzithromycin combined with salmeterol-fluticasone powder inhalation and tiotropium bromide inhalation have good effects for treating COPD patients with AE of CB in the stable stage and can improve the pulmonary function. When COPD with AE of CB was exacerbated, the FeNO index increased significantly, indicating a potential increase in the mucosal inflammatory cells and eosinophils of the airway.

Indexed as

Azithromycinchronic bronchitischronic obstructive pulmonary diseasefractional exhaled nitric oxide

Identifiers

PMID34306507
PMCPMC8290734
OpenAlexW3184553768

What OpenQuestion holds

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Registered trials

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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.