Evidence map›Paper›PMID 31933471›Full record

SynthesisHealth technology assessment (Winchester, England)2020

Lead-I ECG for detecting atrial fibrillation in patients with an irregular pulse using single time point testing: a systematic review and economic evaluation.

Rui Duarte, Angela Stainthorpe, Janette Greenhalgh, Marty Richardson, Sarah Nevitt, James Mahon, Eleanor Kotas, Angela Boland, Howard Thom, Tom Marshall and 2 more

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in Health technology assessment (Winchester, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Rui DuarteLiverpool Reviews and Implementation Group (LRiG), Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Angela StainthorpeLiverpool Reviews and Implementation Group (LRiG), Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Janette GreenhalghLiverpool Reviews and Implementation Group (LRiG), Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Marty RichardsonLiverpool Reviews and Implementation Group (LRiG), Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Sarah NevittLiverpool Reviews and Implementation Group (LRiG), Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
James MahonColdingham Analytical Services, Berwickshire, UK.
Eleanor KotasLiverpool Reviews and Implementation Group (LRiG), Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Angela BolandLiverpool Reviews and Implementation Group (LRiG), Institute of Population Health Sciences, University of Liverpool, Liverpool, UK.
Howard ThomBristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Tom MarshallInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Mark HallLiverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, UK.
Yemisi TakwoingiInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
University of Liverpool · GBR&G Associates · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Bristol · GB

Funding

Department of Health 16/30/05
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common type of cardiac arrhythmia and is associated with an increased risk of stroke and congestive heart failure. Lead-I electrocardiogram (ECG) devices are handheld instruments that can be used to detect AF at a single time point in people who present with relevant signs or symptoms.

objectiveTo assess the diagnostic test accuracy, clinical impact and cost-effectiveness of using single time point lead-I ECG devices for the detection of AF in people presenting to primary care with relevant signs or symptoms, and who have an irregular pulse compared with using manual pulse palpation (MPP) followed by a 12-lead ECG in primary or secondary care. DATA SOURCES: MEDLINE, MEDLINE Epub Ahead of Print and MEDLINE In-Process & Other Non-Indexed Citations, EMBASE, PubMed, Cochrane Databases of Systematic Reviews, Cochrane Central Database of Controlled Trials, Database of Abstracts of Reviews of Effects and the Health Technology Assessment Database.

methodsThe systematic review methods followed published guidance. Two reviewers screened the search results (database inception to April 2018), extracted data and assessed the quality of the included studies. Summary estimates of diagnostic accuracy were calculated using bivariate models. An economic model consisting of a decision tree and two cohort Markov models was developed to evaluate the cost-effectiveness of lead-I ECG devices.

resultsNo studies were identified that evaluated the use of lead-I ECG devices for patients with signs or symptoms of AF. Therefore, the diagnostic accuracy and clinical impact results presented are derived from an asymptomatic population (used as a proxy for people with signs or symptoms of AF). The summary sensitivity of lead-I ECG devices was 93.9% [95% confidence interval (CI) 86.2% to 97.4%] and summary specificity was 96.5% (95% CI 90.4% to 98.8%). One study reported limited clinical outcome data. Acceptability of lead-I ECG devices was reported in four studies, with generally positive views. The de novo economic model yielded incremental cost-effectiveness ratios (ICERs) per quality-adjusted life-year (QALY) gained. The results of the pairwise analysis show that all lead-I ECG devices generated ICERs per QALY gained below the £20,000-30,000 threshold. Kardia Mobile (AliveCor Ltd, Mountain View, CA, USA) is the most cost-effective option in a full incremental analysis. LIMITATIONS: No published data evaluating the diagnostic accuracy, clinical impact or cost-effectiveness of lead-I ECG devices for the population of interest are available.

conclusionsSingle time point lead-I ECG devices for the detection of AF in people with signs or symptoms of AF and an irregular pulse appear to be a cost-effective use of NHS resources compared with MPP followed by a 12-lead ECG in primary or secondary care, given the assumptions used in the base-case model. FUTURE WORK: Studies assessing how the use of lead-I ECG devices in this population affects the number of people diagnosed with AF when compared with current practice would be useful. STUDY REGISTRATION: This study is registered as PROSPERO CRD42018090375.

fundingThe National Institute for Health Research Health Technology Assessment programme.

Indexed as

Cost-Benefit AnalysisElectrocardiographyMass ScreeningPredictive Value of TestsTechnology Assessment, BiomedicalAtrial FibrillationHeart FailureHumansModels, EconomicPrimary Health CarePulseQuality-Adjusted Life YearsStrokeATRIAL FIBRILLATIONCOST-EFFECTIVENESSDIAGNOSTIC TEST ACCURACYLEAD-I ECGSYMPTOMATIC AF

Identifiers

PMID31933471
PMCPMC6983912
OpenAlexW2998806191

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.