Evidence map›Paper›PMID 30836450›Full record

ArticleAlimentary pharmacology & therapeutics2019

Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non-alcoholic fatty liver disease; the importance of an elevated mean platelet volume.

Robin D Abeles, Benjamin H Mullish, Roberta Forlano, Torben Kimhofer, Maciej Adler, Alexandros Tzallas, Nikolaos Giannakeas, Michael Yee, Jamil Mayet, Robert D Goldin and 2 more

Open access · hybridAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

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  9. Performance of the Pooled Cohort Equations in non-alcoholic fatty liver disease: The Multi-Ethnic Study of Atherosclerosis.Liver international : official journal of the International Association for the Study of the Liver · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Robin D AbelesLiver Unit/ Division of Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, St Mary's Hospital Campus, Imperial College London, London, UK.
Benjamin H MullishLiver Unit/ Division of Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, St Mary's Hospital Campus, Imperial College London, London, UK.ORCID 0000-0001-6300-3100
Roberta ForlanoLiver Unit/ Division of Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, St Mary's Hospital Campus, Imperial College London, London, UK.ORCID 0000-0003-4746-7065
Torben KimhoferDepartment of Surgery and Cancer, Centre for Computational and System Medicine, Imperial College London, London, UK.
Maciej AdlerLiver Unit/ Division of Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, St Mary's Hospital Campus, Imperial College London, London, UK.
Alexandros TzallasDepartment of Computer Engineering, School of Applied Technology, Technological Educational Institute of Epirus, Arta, Greece.
Nikolaos GiannakeasDepartment of Computer Engineering, School of Applied Technology, Technological Educational Institute of Epirus, Arta, Greece.
Michael YeeDepartment of Endocrinology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK.
Jamil MayetNational Heart and Lung Institute, Hammersmith Hospital, Imperial College London, London, UK.
Robert D GoldinDepartment of Cellular Pathology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK.
Mark R ThurszLiver Unit/ Division of Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, St Mary's Hospital Campus, Imperial College London, London, UK.ORCID 0000-0002-8218-192X
Pinelopi ManousouLiver Unit/ Division of Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, St Mary's Hospital Campus, Imperial College London, London, UK.ORCID 0000-0002-5363-1565
St Mary's Hospital · GBImperial College Healthcare NHS Trust · GBTechnological Educational Institute of Epirus · GRHammersmith Hospital · GBImperial College London · GB

Funding

EASLMedical Research Council MR/R000875/1Medical Research Council Clinical Research Training Fellowship MR/R000875/1National Institute for Health Research
6 · The paper itself

Abstract

backgroundAtherosclerotic cardiovascular disease is a key cause of morbidity in non-alcoholic fatty liver disease (NAFLD) but appropriate means to predict major acute cardiovascular events (MACE) are lacking.

aimTo design a bespoke cardiovascular risk score in NAFLD.

methodsA retrospective derivation (2008-2016, 356 patients) and a prospective validation (2016- 2017, 111 patients) NAFLD cohort study was performed. Clinical and biochemical data were recorded at enrolment and mean platelet volume (MPV), Qrisk2 and Framingham scores were recorded one year prior to MACE (Cardiovascular death, acute coronary syndrome, stroke and transient ischaemic attack).

resultsThe derivation and validation cohorts were well-matched, with MACE prevalence 12.6% and 12%, respectively. On univariate analysis, age, diabetes, advanced fibrosis, collagen proportionate area >5%, MPV and liver stiffness were associated with MACE. After multivariate analysis, age, diabetes and MPV remained independently predictive of MACE. The "NAFLD CV-risk score" was generated using binary logistic regression: 0.06*(Age) + 0.963*(MPV) + 0.26*(DM

conclusionsThe NAFLD CV risk score and MPV accurately predict 1-year risk of MACE, thereby allowing better identification of patients that require optimisation of their cardiovascular risk profile.

Indexed as

Mean Platelet VolumeAdultAgedCardiovascular DiseasesCohort StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseProspective StudiesRetrospective StudiesRisk FactorsSensitivity and Specificity

Identifiers

PMID30836450
PMCPMC6519040
OpenAlexW2921476121

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.