Evidence map›Paper›PMID 28822511›Full record

ArticleIndian heart journal

Comparison of different cardiovascular risk score calculators for cardiovascular risk prediction and guideline recommended statin uses.

Naveen Garg, Subrat K Muduli, Aditya Kapoor, Satyendra Tewari, Sudeep Kumar, Roopali Khanna, Pravin Kumar Goel

Open access · goldAbstract read
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
11.9field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 157 citations in OpenAlex.

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16 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Naveen GargDepartment of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India. Electronic address: navgarg@gmail.com.
Subrat K MuduliDepartment of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Aditya KapoorDepartment of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Satyendra TewariDepartment of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Sudeep KumarDepartment of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Roopali KhannaDepartment of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Pravin Kumar GoelDepartment of Cardiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
Sanjay Gandhi Post Graduate Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe accuracy of various 10-year cardiovascular disease (CVD) risk calculators in Indians may not be the same as in other populations. Present study was conducted to compare the various calculators for CVD risk assessment and statin eligibility according to different guidelines.

methodsConsecutive 1110 patients who presented after their first myocardial infarction were included. Their CVD risk was calculated using Framingham Risk score- Coronary heart disease (FRS-CHD), Framingham Risk Score- Cardiovascular Disease (FRS-CVD), QRISK2, Joint British Society risk calculator 3 (JBS3), American College of Cardiology/American Heart Association (ACC/AHA), atherosclerotic cardiovascular disease (ASCVD) and WHO risk charts, assuming that they had presented one day before cardiac event for risk assessment. Eligibility for statin uses was also looked into using ACC/AHA, NICE and Canadian guidelines.

resultsFRS-CVD risk assessment model has performed the best as it could identify the highest number of patients (51.9%) to be at high CVD risk while WHO and ASCVD calculators have performed the worst (only 16.2% and 28.3% patients respectively were stratified into high CVD risk) considering 20% as cut off for high risk definition. QRISK2, JBS3 and FRS-CHD have performed intermediately. Using NICE, ACC/AHA and Canadian guidelines; 76%, 69% and 44.6% patients respectively were found to be eligible for statin use.

conclusionFRS-CVD appears to be the most useful for CVD risk assessment in Indians, but the difference may be because FRS-CVD estimates risk for several additional outcomes as compared with other risk scores. For statin eligibility, however, NICE guideline use is the most appropriate.

Indexed as

ForecastingGuideline AdherenceAdultAgedAged, 80 and overCardiologyCardiovascular DiseasesFemaleFollow-Up StudiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsIndiaMaleMiddle AgedMorbidityRisk AssessmentHydroxymethylglutaryl-CoA Reductase InhibitorsCardiovascular risk calculatorsCardiovascular risk scoreMyocardial infarctionPrimary prevention

Identifiers

PMID28822511
PMCPMC5560874
OpenAlexW2585937149

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.