Evidence map›Paper›PMID 27333022›Full record

Trial reportEBioMedicine2016

High Serum Immunoglobulin G and M Levels Predict Freedom From Adverse Cardiovascular Events in Hypertension: A Nested Case-Control Substudy of the Anglo-Scandinavian Cardiac Outcomes Trial.

Ramzi Y Khamis, Alun D Hughes, Mikhail Caga-Anan, Choon L Chang, Joseph J Boyle, Chiari Kojima, Paul Welsh, Naveed Sattar, Michael Johns, Peter Sever and 2 more

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

34 citing papers in PubMed, 59 citations in OpenAlex.

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  15. The OSE complotype and its clinical potential.Frontiers in immunology · 2022
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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 3 institutions in 1 country.

Ramzi Y KhamisVascular Sciences Section, NHLI, Imperial College London, United Kingdom.
Alun D HughesInternational Centre for Circulatory Health, NHLI, Imperial College London, United Kingdom; Institute of Cardiovascular Science, University College London, United Kingdom.
Mikhail Caga-AnanVascular Sciences Section, NHLI, Imperial College London, United Kingdom.
Choon L ChangInternational Centre for Circulatory Health, NHLI, Imperial College London, United Kingdom.
Joseph J BoyleVascular Sciences Section, NHLI, Imperial College London, United Kingdom.
Chiari KojimaVascular Sciences Section, NHLI, Imperial College London, United Kingdom.
Paul WelshDivision of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom.
Naveed SattarDivision of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom.
Michael JohnsVascular Sciences Section, NHLI, Imperial College London, United Kingdom.
Peter SeverInternational Centre for Circulatory Health, NHLI, Imperial College London, United Kingdom.
Jamil MayetInternational Centre for Circulatory Health, NHLI, Imperial College London, United Kingdom.
Dorian O HaskardVascular Sciences Section, NHLI, Imperial College London, United Kingdom. Electronic address: d.haskard@imperial.ac.uk.
Imperial College London · GBUniversity of Glasgow · GBUniversity College London · GB

Funding

British Heart Foundation FS/13/12/30037
6 · The paper itself

Abstract

aimsWe aimed to determine whether the levels of total serum IgM and IgG, together with specific antibodies against malondialdehyde-conjugated low-density lipoprotein (MDA-LDL), can improve cardiovascular risk discrimination. METHODS AND

resultsThe Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT) randomized 9098 patients in the UK and Ireland into the Blood Pressure-Lowering Arm. 485 patients that had cardiovascular (CV) events over 5.5years were age and sex matched with 1367 controls. Higher baseline total serum IgG, and to a lesser extent IgM, were associated with decreased risk of CV events (IgG odds ratio (OR) per one standard deviation (SD) 0.80 [95% confidence interval, CI 0.72,0.89], p<0.0001; IgM 0.83[0.75,0.93], p=0.001), and particularly events due to coronary heart disease (CHD) (IgG OR 0.66 (0.57,0.76); p<0.0001, IgM OR 0.81 (0.71,0.93); p=0.002). The association persisted after adjustment for a basic model with variables in the Framingham Risk Score (FRS) as well as following inclusion of C-reactive protein (CRP) and N-terminal pro-B-type natriuretic peptide (NtProBNP). IgG and IgM antibodies against MDA-LDL were also associated with CV events but their significance was lost following adjustment for total serum IgG and IgM respectively. The area under the receiver operator curve for CV events was improved from the basic risk model when adding in total serum IgG, and there was improvement in continuous and categorical net reclassification (17.6% and 7.5% respectively) as well as in the integrated discrimination index.

conclusionHigh total serum IgG levels are an independent predictor of freedom from adverse cardiovascular events, particularly those attributed to CHD, in patients with hypertension.

Indexed as

AgedAntihypertensive AgentsArea Under CurveCase-Control StudiesCoronary DiseaseC-Reactive ProteinEnzyme-Linked Immunosorbent AssayFemaleFollow-Up StudiesHumansHypertensionImmunoglobulin GImmunoglobulin MLipoproteins, LDLLogistic ModelsMaleAntihypertensive AgentsC-Reactive ProteinImmunoglobulin GImmunoglobulin MLipoproteins, LDLMalondialdehydemalondialdehyde-low density lipoprotein, humanNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Anti-oxidized-LDL antibodiesCardiovascular risk stratificationImmunoglobulins

Identifiers

PMID27333022
PMCPMC4972545
OpenAlexW2443991251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.