Evidence map›Paper›PMID 27930551›Full record

ArticleMedicine2016

Assessment of 2013 AHA/ACC ASCVD risk scores with behavioral characteristics of an urban cohort in India: Preliminary analysis of Noncommunicable disease Initiatives and Research at AMrita (NIRAM) study.

Vidya P Menon, Fabia Edathadathil, Dipu Sathyapalan, Merlin Moni, Ann Don, Sabarish Balachandran, Binny Pushpa, Preetha Prasanna, Nithu Sivaram, Anupama Nair and 3 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

13 authors at 1 institution in 1 country.

Vidya P MenonDepartment of General Medicine Medical Administration Department of Allied Health Sciences Department of Emergency Medicine Comprehensive Healthcare Clinic Department of Pharmacy, Amrita Institute of Medical Sciences, Ponekkara, Kochi, India.
Fabia Edathadathil
Dipu Sathyapalan
Merlin Moni
Ann Don
Sabarish Balachandran
Binny Pushpa
Preetha Prasanna
Nithu Sivaram
Anupama Nair
Nithu Vinod
Rekha Jayaprasad
Veena Menon
Amrita Institute of Medical Sciences and Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) are the leading cause of death and disability in India. Early and sustained exposure to behavioral risk factors leads to development of CVDs.The aim of this study was to determine the baseline risk of a "hard CVD event" in subjects attending comprehensive health clinic and assess behavioral characteristics in "at risk" population.Using WHO STEPwise approach to Surveillance modified questionnaire, prevalence of noncommunicable diseases (NCDs) and risk factors was estimated in this cross-sectional study of 4507 subjects. Baseline cardiovascular risk was determined using Framingham risk score (FRS) and American College of Cardiology (ACC)/American Heart Association (AHA) atherosclerotic cardiovascular disease (ASCVD) algorithms. Modifiable behavior associated with high CVD risk was assessed. Among 40 to 59-year olds, ASCVD risk tool derived both a 10-year and lifetime risk score, which were used to stratify the cohort into 3 risk groups, namely, a high 10-year and high lifetime, a low 10-year and high lifetime, and a low 10-year and low lifetime risks.Dyslipidemia (30.6%), hypertension (25.5%), diabetes mellitus (20%), and obstructive airway disorders (17.6%) were most prevalent NCDs in our cohort. The ASCVD score stratified 26.1% subjects into high 10-yr and 59.5% into high lifetime risk while FRS classified 17.2% into high 10-year risk. Compared with FRS, the ASCVD risk estimator identified a larger proportion of subjects "at risk" of developing CVD. A high prevalence of alcohol use (38.4%), decreased intake of fruits and vegetables (96.2%) and low physical activity (58%) were observed in "at risk" population. Logistic regression analysis showed that in 40 to 59-year group, regular and occasional drinkers were 8.5- and 3.1-fold more likely to be in high 10-year and high lifetime ASCVD risk category than in low 10-year and low lifetime risk group. Similarly, regular drinkers and occasional drinkers were 2.1 and 1.3 times more likely to be in low 10-year and high lifetime risk than in low 10-year and low lifetime risk category. Subjects with inadequate intake of fruits and vegetables were 1.59 times more likely to be in low 10-year and high lifetime risk than the lower 10-year and lifetime risk group. Obese participants were 2.3-fold more likely to be in low 10-year and high lifetime risk.Identification of "at risk" subjects from seemingly healthy population will allow sustainable primary prevention strategies to reduce CVD.

Indexed as

Health BehaviorRisk AssessmentAdolescentAdultAgedAmerican Heart AssociationCohort StudiesCoronary Artery DiseaseCross-Sectional StudiesFemaleHealth PromotionHumansIndiaLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID27930551
PMCPMC5266023
OpenAlexW2560036127

What OpenQuestion holds

Textmetadata
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.