Evidence map›Paper›PMID 27486142›Full record

ArticleHeart (British Cardiac Society)2016

Improvements in ECG accuracy for diagnosis of left ventricular hypertrophy in obesity.

Oliver J Rider, Ntobeko Ntusi, Sacha C Bull, Richard Nethononda, Vanessa Ferreira, Cameron J Holloway, David Holdsworth, Masliza Mahmod, Jennifer J Rayner, Rajarshi Banerjee and 3 more

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Heart (British Cardiac Society), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  11. T-wave and its association with myocardial fibrosis on cardiovascular magnetic resonance examination.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
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  16. Electrocardiographic criteria for left ventricular hypertrophy in aortic valve stenosis: Correlation with echocardiographic parameters.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2019
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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

13 authors at 4 institutions in 3 countries.

Oliver J RiderRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Ntobeko NtusiRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK Division of Cardiology, Department of Medicine Research, University of Capetown, South Africa.
Sacha C BullRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Richard NethonondaChris Hani Baragwanath Hospital, Soweto & University of Witwatersrand, Johannesburg, South Africa.
Vanessa FerreiraRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Cameron J HollowaySt Vincent's Hospital, Sydney, Australia.
David HoldsworthRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Masliza MahmodRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Jennifer J RaynerRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Rajarshi BanerjeeRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Saul MyersonRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Hugh WatkinsRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
Stefan NeubauerRadcliffe Department of Medicine, Division of Cardiovascular Medicine and University of Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, UK.
University of Oxford · GBChris Hani Baragwanath Hospital · ZASt Vincent's Hospital Sydney · AUUniversity of Cape Town · ZA

Funding

British Heart Foundation FS/10/015/28104Wellcome TrustWellcome Trust 078872/Z/05/Z
6 · The paper itself

Abstract

objectivesThe electrocardiogram (ECG) is the most commonly used tool to screen for left ventricular hypertrophy (LVH), and yet current diagnostic criteria are insensitive in modern increasingly overweight society. We propose a simple adjustment to improve diagnostic accuracy in different body weights and improve the sensitivity of this universally available technique.

methodsOverall, 1295 participants were included-821 with a wide range of body mass index (BMI 17.1-53.3 kg/m(2)) initially underwent cardiac magnetic resonance evaluation of anatomical left ventricular (LV) axis, LV mass and 12-lead surface ECG in order to generate an adjustment factor applied to the Sokolow-Lyon criteria. This factor was then validated in a second cohort (n=520, BMI 15.9-63.2 kg/m(2)).

resultsWhen matched for LV mass, the combination of leftward anatomical axis deviation and increased BMI resulted in a reduction of the Sokolow-Lyon index, by 4 mm in overweight and 8 mm in obesity. After adjusting for this in the initial cohort, the sensitivity of the Sokolow-Lyon index increased (overweight: 12.8% to 30.8%, obese: 3.1% to 27.2%) approaching that seen in normal weight (37.8%). Similar results were achieved in the validation cohort (specificity increased in overweight: 8.3% to 39.1%, obese: 9.4% to 25.0%) again approaching normal weight (39.0%). Importantly, specificity remained excellent (>93.1%).

conclusionsAdjusting the Sokolow-Lyon index for BMI (overweight +4 mm, obesity +8 mm) improves the diagnostic accuracy for detecting LVH. As the ECG, worldwide, remains the most widely used screening tool for LVH, implementing these findings should translate into significant clinical benefit.

Indexed as

ElectrocardiographyAction PotentialsAdultAgedBody Mass IndexFemaleHeart Conduction SystemHeart RateHumansHypertrophy, Left VentricularMagnetic Resonance ImagingMaleMiddle AgedObesityPredictive Value of TestsReproducibility of Results

Identifiers

PMID27486142
PMCPMC5037604
OpenAlexW2478830112

What OpenQuestion holds

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LicenceCC BY
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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.