Evidence map›Paper›PMID 34104641›Full record

ArticleERJ open research2021

Treatable cardiac disease in hospitalised COPD exacerbations.

Paul Leong, Martin I MacDonald, Paul T King, Christian R Osadnik, Brian S Ko, Shane A Landry, Kais Hamza, Ahilan Kugenasan, John M Troupis, Philip G Bardin

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Observational
  4. Article
  5. Article
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  8. Exploring Patterns of COPD Exacerbations and Comorbid Flare-Ups.International journal of chronic obstructive pulmonary disease · 2023
    Article
  9. 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.

Paul LeongMonash Lung and Sleep, Monash Health, Clayton, Victoria, Australia.
Martin I MacDonaldMonash Lung and Sleep, Monash Health, Clayton, Victoria, Australia.
Paul T KingMonash Lung and Sleep, Monash Health, Clayton, Victoria, Australia.
Christian R OsadnikMonash Lung and Sleep, Monash Health, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0001-9040-8007
Brian S KoSchool of Clinical Sciences, Monash University, Clayton, Victoria, Australia.
Shane A LandryMonash Lung and Sleep, Monash Health, Clayton, Victoria, Australia.
Kais HamzaSchool of Mathematical Sciences, Monash University, Clayton, Victoria, Australia.
Ahilan KugenasanMonash Imaging, Monash Health, Clayton, Victoria, Australia.
John M TroupisSchool of Clinical Sciences, Monash University, Clayton, Victoria, Australia.
Philip G BardinMonash Lung and Sleep, Monash Health, Clayton, Victoria, Australia.
Monash Health · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute exacerbations of COPD (AECOPD) are accompanied by escalations in cardiac risk superimposed upon elevated baseline risk. Appropriate treatment for coronary artery disease (CAD) and heart failure with reduced ejection fraction (HFrEF) could improve outcomes. However, securing these diagnoses during AECOPD is difficult, so their true prevalence remains unknown, as does the magnitude of this treatment opportunity. We aimed to determine the prevalence of severe CAD and severe HFrEF during hospitalised AECOPD using dynamic computed tomography (CT).

methodsA cross-sectional study of 148 patients with hospitalised AECOPD was conducted. Dynamic CT was used to identify severe CAD (Agatston score ≥400) and HFrEF (left ventricular ejection fraction ≤40% and/or right ventricular ejection fraction ≤35%).

resultsSevere CAD was detected in 51 of 148 patients (35%), left ventricular systolic dysfunction was identified in 12 cases (8%) and right ventricular systolic dysfunction was present in 18 (12%). Clinical history and examination did not identify severe CAD in approximately one-third of cases and missed HFrEF in two-thirds of cases. Elevated troponin and brain natriuretic peptide did not differentiate subjects with severe CAD from nonsevere CAD, nor distinguish HFrEF from normal ejection fraction. Undertreatment was common. Of those with severe CAD, only 39% were prescribed an antiplatelet agent, and 53% received a statin. Of individuals with HFrEF, 50% or less received angiotensin blockers, beta blockers or antimineralocorticoids.

conclusionDynamic CT detects clinically covert CAD and HFrEF during AECOPD, identifying opportunities to improve outcomes

Identifiers

PMID34104641
PMCPMC8174772
OpenAlexW3119116428

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.