Evidence map›Paper›PMID 36000672›Full record

ArticleThe British journal of radiology2022

Assessing splenic switch-off in Adenosine stress CMR for patients with atrial fibrillation: a propensity-matched study.

Adam Barrishi, John Graby, Ali Khavandi, Amardeep Dastidar, Jonathan Cl Rodrigues

Open access · hybridAbstract read
In one paragraph

Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Adam BarrishiDepartment of Radiology, Royal United Hospital, Combe Park, Bath, Avon, UK.
John GrabyDepartment of Radiology, Royal United Hospital, Combe Park, Bath, Avon, UK.ORCID 0000-0002-8753-1343
Ali KhavandiDepartment of Cardiology, Royal United Hospital, Combe Park, Bath, UK.
Amardeep DastidarDepartment of Cardiology, North Bristol NHS Trust, Southmead Rd, Bristol, UK.
Jonathan Cl RodriguesDepartment of Radiology, Royal United Hospital, Combe Park, Bath, Avon, UK.ORCID 0000-0003-2744-3509
Royal United Hospital · GBNorth Bristol NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSplenic switch-off (SSO) is a validated indicator of adequate vasodilator stress unique to adenosine stress cardiac MR (CMR). Patients in atrial fibrillation (AF) may have a reduced adenosine response due to lower hyperaemic coronary flow reserve and may achieve SSO less frequently versus sinus rhythm (SR).

methods1100 stress CMR studies were identified from a clinical CMR database (2016-2021). 70 patients in AF were propensity score matched to a SR group for age, sex, and body mass index. The adenosine dose administered, symptoms, heart-rate change and scan result were recorded. SSO was evaluated subjectively and semi-quantitatively via changes in splenic and myocardial signal intensity (SI) from rest to stress.

resultsSSO occurred significantly less frequently in AF than SR (34/70 [49%]

conclusionsSSO occurs significantly less frequently with AF. This may risk the under diagnosis of inducible ischaemia and requires further assessment. ADVANCES IN KNOWLEDGE: SSO, a validated marker of adequate stress in CMR, occurs significantly less frequently in the presence of AF, risking a suboptimal functional assessment of coronary disease.

Indexed as

Atrial FibrillationCoronary Artery DiseaseAdenosineHeart RateHumansVasodilator AgentsAdenosineVasodilator Agents

Identifiers

PMID36000672
PMCPMC9793484
OpenAlexW4293173494

What OpenQuestion holds

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LicenceCC BY-NC
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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.