Evidence map›Paper›PMID 27325935›Full record

ArticleHeart Asia2010

A literature review of the cardiovascular risk-assessment tools: applicability among Asian population.

Siow Yen Liau, M I Mohamed Izham, M A Hassali, A A Shafie

Abstract read
In one paragraph

Article in Heart Asia, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Cardiovascular risk assessment tools in Asia.Journal of clinical hypertension (Greenwich, Conn.) · 2022
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Chapter 5: Referral to specialists and models of care.Kidney international supplements · 2013
    Article
  10. Article
  11. Article
  12. "Healthy Heart, Healthy You": Ten-Year Cardiovascular Disease (CVD) Risk among Adults in Anekal Taluk Hospital, Bangalore Urban District, Karnataka.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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

4 authors.

Siow Yen LiauDiscipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, Malaysia.
M I Mohamed IzhamDiscipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, Malaysia.
M A HassaliDiscipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, Malaysia.
A A ShafieDiscipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Minden, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases, the main causes of hospitalisations and death globally, have put an enormous economic burden on the healthcare system. Several risk factors are associated with the occurrence of cardiovascular events. At the heart of efficient prevention of cardiovascular disease is the concept of risk assessment. This paper aims to review the available cardiovascular risk-assessment tools and its applicability in predicting cardiovascular risk among Asian populations.

methodsA systematic search was performed using keywords as MeSH and Boolean terms.

resultsA total of 25 risk-assessment tools were identified. Of these, only two risk-assessment tools (8%) were derived from an Asian population. These risk-assessment tools differ in various ways, including characteristics of the derivation sample, type of study, time frame of follow-up, end points, statistical analysis and risk factors included.

conclusionsVery few cardiovascular risk-assessment tools were developed in Asian populations. In order to accurately predict the cardiovascular risk of our population, there is a need to develop a risk-assessment tool based on local epidemiological data.

Indexed as

cardiac preventioncardiovascular diseasecoronary diseasecoronary risk factorsRisk assessmentrisk factors

Identifiers

PMID27325935
PMCPMC4898587

What OpenQuestion holds

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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.