Evidence map›Paper›PMID 34097699›Full record

ArticlePloS one2021

Validation of the World Health Organization/ International Society of Hypertension (WHO/ISH) cardiovascular risk predictions in Sri Lankans based on findings from a prospective cohort study.

U B Thulani, K C D Mettananda, D T D Warnakulasuriya, T S G Peiris, K T A A Kasturiratne, U K Ranawaka, S Chakrewarthy, A S Dassanayake, S A F Kurukulasooriya, M A Niriella and 5 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

15 authors.

U B ThulaniDepartment of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
K C D MettanandaDepartment of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.ORCID 0000-0002-3328-1553
D T D WarnakulasuriyaDepartment of Physiology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
T S G PeirisDepartment of Mathematics, Faculty of Engineering, University of Moratuwa, Moratuwa, Sri Lanka.
K T A A KasturiratneDepartment of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
U K RanawakaDepartment of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
S ChakrewarthyDepartment of Biochemistry, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
A S DassanayakeDepartment of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
S A F KurukulasooriyaDepartment of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
M A NiriellaDepartment of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
S T de SilvaDepartment of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.ORCID 0000-0001-7241-0963
A P PathmeswaranDepartment of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
N KatoNational Center for Global Health and Medicine, Toyama, Shinjuku-ku, Tokyo, Japan.
H J de SilvaDepartment of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
A R WickremasingheDepartment of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

objectivesThere are no cardiovascular (CV) risk prediction models for Sri Lankans. Different risk prediction models not validated for Sri Lankans are being used to predict CV risk of Sri Lankans. We validated the WHO/ISH (SEAR-B) risk prediction charts prospectively in a population-based cohort of Sri Lankans.

methodWe selected 40-64 year-old participants from the Ragama Medical Officer of Health (MOH) area in 2007 by stratified random sampling and followed them up for 10 years. Ten-year risk predictions of a fatal/non-fatal cardiovascular event (CVE) in 2007 were calculated using WHO/ISH (SEAR-B) charts with and without cholesterol. The CVEs that occurred from 2007-2017 were ascertained. Risk predictions in 2007 were validated against observed CVEs in 2017.

resultsOf 2517 participants, the mean age was 53.7 year (SD: 6.7) and 1132 (45%) were males. Using WHO/ISH chart with cholesterol, the percentages of subjects with a 10-year CV risk <10%, 10-19%, 20%-29%, 30-39%, ≥40% were 80.7%, 9.9%, 3.8%, 2.5% and 3.1%, respectively. 142 non-fatal and 73 fatal CVEs were observed during follow-up. Among the cohort, 9.4% were predicted of having a CV risk ≥20% and 8.6% CVEs were observed in the risk category. CVEs were within the predictions of WHO/ISH charts with and without cholesterol in both high (≥20%) and low(<20%) risk males, but only in low(<20%) risk females. The predictions of WHO/ISH charts, with-and without-cholesterol were in agreement in 81% of subjects (ĸ = 0.429; p<0.001).

conclusionsWHO/ISH (SEAR B) risk prediction charts with-and without-cholesterol may be used in Sri Lanka. Risk charts are more predictive in males than in females and for lower-risk categories. The predictions when stratifying into 2 categories, low risk (<20%) and high risk (≥20%), are more appropriate in clinical practice.

Indexed as

AdultCardiovascular DiseasesCardiovascular SystemCholesterolCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansHypertensionLongitudinal StudiesMaleMedical History TakingMiddle AgedPrevalenceProspective StudiesRisk FactorsCholesterol

Identifiers

PMID34097699
PMCPMC8183983

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.