Evidence map›Paper›PMID 38116599›Full record

ArticleAsia-Pacific journal of public health2024

Comparison of Laboratory and Non-Laboratory-Based 2019 World Health Organization Cardiovascular Risk Charts in the Bhutanese Population.

Kuenzang Chhezom, Mongal Singh Gurung, Kinley Wangdi

Open access · hybridAbstract read
In one paragraph

Article in Asia-Pacific journal of public health, 2024. 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
2.0field-weighted citation impact, top 13% 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, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors at 3 institutions in 2 countries.

Kuenzang ChhezomFaculty of Postgraduate Medicine, Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan.ORCID 0000-0003-0356-2415
Mongal Singh GurungMinistry of Health, Bhutan.
Kinley WangdiDepartment of Global Health, National Centre for Epidemiology and Population Health (NCEPH), College of Health and Medicine, Australian National University, Acton, ACT, Australia.ORCID 0000-0002-8857-2665
Australian National University · AUKhesar Gyalpo University of Medical Sciences of Bhutan · BTMinistry of Agriculture and Forests · BT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization (WHO) recommends the use of color-coded cardiovascular disease (CVD) risk charts for CVD management. This study evaluated the agreement between the laboratory and non-laboratory 10-year CVD risks based on 2019 WHO CVD risk-prediction charts. The agreement of CVD risk scores among 40- to 69-year-old Bhutanese population stratified by gender and age groups (<60 and ≥60 years) was determined via weighted kappa statistics. In the general population, there was substantial agreement between the two CVD risk score charts for all ages and <60 years but a moderate agreement for participants aged ≥60 years. In males, substantial agreement was observed in all ages and in <60 years and moderate agreement in ≥60 years. In females, both the predictions showed substantial agreement in all ages and <60, but a moderate agreement for ≥60 years. The non-laboratory-based risk charts can be used interchangeably with laboratory-based charts for predicting 10-year CVD risk in resource-constrained countries like Bhutan.

Indexed as

Cardiovascular DiseasesAdultAgedBhutanFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedRisk AssessmentRisk FactorsWorld Health Organization10-year CVD riskagreementBhutancardiovascular diseasekappalaboratorynon-laboratorySouth Asia

Identifiers

PMID38116599
PMCPMC10863361
OpenAlexW4388845906

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.