Evidence map›Paper›PMID 36409005›Full record

ArticleChronic respiratory disease

Azithromycin use prior to ICU admission is associated with a lower short-term mortality for critically ill acute exacerbations of chronic obstructive pulmonary disease patients: A retrospective cohort study.

Xuequn Guo, Hongsheng Lin, Donghao Guo, Qiu Luo

Open access · goldAbstract read
In one paragraph

Article in Chronic respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 2 countries.

Xuequn GuoDepartment of Respiratory Medicine, 117894Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.ORCID 0000-0002-7677-7815
Hongsheng LinDepartment of Respiratory Medicine, 117894Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.ORCID 0000-0003-4937-5148
Donghao GuoDepartment of Medicine and Therapeutics, Faculty of Medicine, 26451The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-8300-8176
Qiu LuoDepartment of Emergency Medicine, 117894Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.ORCID 0000-0002-4565-3270
Fujian Medical University · CNChinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Azithromycin was thought to prevent acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) by anti-microbial and anti-inflammatory effects. However, it's value in the treatment of critically ill patients with AECOPD before ICU admission remains unclear. Our study aimed to find whether azithromycin use prior to ICU admission leads to better clinical outcomes for those individuals. 533 critically ill patients with AECOPD from the MIMIC-IV database were included. Univariate followed multivariate logistic regression was used to select risk factors for short-term mortality. The multivariable logistic regression models were implemented to investigate the association between azithromycin use before ICU admission and short-term mortality. Lower short-term mortality was observed in the azithromycin group (

Indexed as

Critical IllnessPulmonary Disease, Chronic ObstructiveAzithromycinHumansIntensive Care UnitsRetrospective StudiesAzithromycinacute exacerbations of chronic obstructive pulmonary diseaseazithromycincritical careintensive care unitshort-term mortality

Identifiers

PMID36409005
PMCPMC9685141
OpenAlexW4309657517

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.