Evidence map›Paper›PMID 35459666›Full record

ArticleBMJ open2022

Absolute cardiovascular risk scores and medication use in rural India: a cross-sectional study.

Mulugeta Molla Birhanu, Roger G Evans, Ayse Zengin, Michaela Riddell, Kartik Kalyanram, Kamakshi Kartik, Oduru Suresh, Nihal Jacob Thomas, Velandai K Srikanth, Amanda G Thrift

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Metabolic Syndrome and Associated Factors in Farmers in Southeastern Brazil: A Cross-Sectional Study.International journal of environmental research and public health · 2023
    Observational
  7. 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

10 authors at 3 institutions in 2 countries.

Mulugeta Molla BirhanuDepartment of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Victoria, Australia.ORCID 0000-0003-0364-279X
Roger G EvansCardiovascular Disease Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia.
Ayse ZenginDepartment of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Victoria, Australia.ORCID 0000-0001-6428-6165
Michaela RiddellDepartment of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Victoria, Australia.
Kartik KalyanramRishi Valley Rural Health Centre, Chittoor District, Andhra Pradesh, India.
Kamakshi KartikRishi Valley Rural Health Centre, Chittoor District, Andhra Pradesh, India.
Oduru SureshDepartment of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Victoria, Australia.
Nihal Jacob ThomasDepartment of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, Tamil Nadu, India.
Velandai K SrikanthDepartment of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Victoria, Australia.
Amanda G ThriftDepartment of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Clayton, Victoria, Australia amanda.thrift@monash.edu.ORCID 0000-0001-8533-4170
Monash Health · AUAustralian Regenerative Medicine Institute · AUChristian Medical College, Vellore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe compared the performance of laboratory-based cardiovascular risk prediction tools in a low-income and middle-income country setting, and estimated the use of antihypertensive and lipid-lowering medications in those deemed at high risk of a cardiovascular event.

designA cross-sectional study.

settingThe study population comprised adult residents (aged ≥18 years) of the Rishi Valley region located in Chittoor District, south-western Andhra Pradesh, India.

participants7935 participants were surveyed between 2012 and 2015. We computed the 10-year cardiovascular risk and undertook pair-to-pair analyses between various risk tools used to predict a fatal or non-fatal cardiovascular event (Framingham Risk Score (FRS), World Health Organization Risk Score (WHO-RS) and Australian Risk Score (ARS)), or a fatal cardiovascular event (Systematic COronary Risk Evaluation (SCORE-high and SCORE-low)). Concordance was assessed by ordinary least-products (OLP) regression (for risk score) and quadratic weighted kappa (κ

resultsOf participants aged 35-74 years, 3.5% had prior cardiovascular disease. The relationships between risk scores were quasi-linear with good agreement between the FRS and ARS (OLP slope=0.96, κ

conclusionsCardiovascular risk prediction tools perform disparately in this setting of disadvantage. Few deemed at high risk were receiving the recommended treatment.

Indexed as

Cardiovascular DiseasesAdolescentAdultAntihypertensive AgentsAustraliaCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansIndiaLipidsMaleRisk AssessmentRisk FactorsAntihypertensive AgentsLipidscardiac epidemiologyepidemiologypreventive medicinepublic health

Identifiers

PMID35459666
PMCPMC9036467
OpenAlexW4224324520

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.