Evidence map›Paper›PMID 37775157›Full record

ArticleClinical medicine (London, England)2023

Higher incidence of new atrial fibrillation in hospitalised COVID-19 patients compared to lower respiratory tract infection, however, less patients prescribed anticoagulants at discharge.

Isuru Induruwa, Elizabeth Cattermole, Christopher Paisey, Colver Ken Howe Ne, Kayvan Khadjooi

Open access · diamondAbstract read
In one paragraph

Article in Clinical medicine (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Hearts and minds.Clinical medicine (London, England) · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Isuru InduruwaCambridge University Hospitals NHS Foundation Trust, Cambridge, UK, and academic clinical lecturer, University of Cambridge, Cambridge, UK isuru.induruwa@nhs.net.
Elizabeth CattermoleCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Christopher PaiseyCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Colver Ken Howe NeCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Kayvan KhadjooiCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Cambridge University Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection contributes to developing cardiac arrhythmias, such as atrial fibrillation (AF), which causes over 25% of ischaemic stroke. We analysed a hospital coding database of patients hospitalised with Coronavirus 2019 (COVID-19) ± AF or a lower respiratory tract infection (LRTI) ± AF, to compare the incidence of first-diagnosed or 'new' AF (nAF) between COVID-19 and LRTI, as well as risk factors associated with developing nAF during COVID-19. In total, 2,243 patients with LRTI and 488 patients with COVID-19 were included. nAF was diagnosed in significantly more patients with COVID-19 compared with those with LRTI (7.0% vs 3.6%, p=0.003); however, significantly fewer patients with COVID-19 were discharged on anticoagulation medication (26.3% vs 56.4%, p=0.02). Patients who developed nAF during COVID-19 were older (p<0.001), had congestive cardiac failure (p=0.004), ischaemic heart disease (IHD) or peripheral vascular disease (PVD) (p<0.001) and a higher CHA

Indexed as

Atrial FibrillationBrain IschemiaCOVID-19StrokeAnticoagulantsHumansIncidencePatient DischargeRisk AssessmentRisk FactorsAnticoagulantsanticoagulationatrial fibrillationCOVID-19ischaemic strokelower respiratory tract infection

Identifiers

PMID37775157
PMCPMC10541287
OpenAlexW4387190729

What OpenQuestion holds

Textmetadata
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.