Evidence map›Paper›PMID 30652019›Full record

ReviewFuture science OA2019

Identifying genetic markers associated with susceptibility to cardiovascular diseases.

Hitesh Shukla, Jessica Louise Mason, Abdullah Sabyah

Open access · goldAbstract readReview
In one paragraph

Review in Future science OA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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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

3 authors.

Hitesh ShuklaRightangled Ltd, The Relay Building, 114 Whitechapel High St, London E1 7PT, UK.
Jessica Louise MasonRightangled Ltd, The Relay Building, 114 Whitechapel High St, London E1 7PT, UK.
Abdullah SabyahRightangled Ltd, The Relay Building, 114 Whitechapel High St, London E1 7PT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of cardiovascular diseases (CVDs) is due to a complex interaction between the genome and the environment. Understanding how genetic differences in individuals contribute to their susceptibility to CVDs can help guide practitioners to give the best advice to achieve a favorable outcome for the patient. As genome technologies evolve, genotyping of individuals could be available to all patients using a simple saliva test. Large-scale genome-wide association studies and meta analyses have provided powerful insights into polymorphisms that may be predictive of disease and an individual's response to certain nutrients, but moving forward it is imperative that these insights can be applied in the medical setting to reduce the incidence and mortality of CVDs.

Indexed as

cardiovascular diseaseDNAgeneticgenotypingheartmedicinepersonalisedpharmacogeneticspolymorphismSNP

Identifiers

PMID30652019
PMCPMC6331704
OpenAlexW2898140219

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.