Evidence map›Paper›PMID 38665448›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Cardiovascular Risk Profiling Using the Globorisk Calculator among Noncommunicable Disease Patients Attending Primary Health Centers of a Tertiary Care Teaching Hospital in South India: A Cross-Sectional Analytical Study.

Sitanshu S Kar, Sivaranjini Kannusamy, Tanveer Rehman, Sharan Murali, Subitha Laxminarayanan, Jayaraman Balachander

Open access · goldAbstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Sitanshu S KarDepartment of Preventive and Social Medicine, PGIMER, Chandigarh, India.
Sivaranjini KannusamyDepartment of Preventive and Social Medicine, PGIMER, Chandigarh, India.
Tanveer RehmanDepartment of Community Medicine and School of Public Health, PGIMER, Chandigarh, India.
Sharan MuraliDepartment of Preventive and Social Medicine, PGIMER, Chandigarh, India.
Subitha LaxminarayananDepartment of Preventive and Social Medicine, PGIMER, Chandigarh, India.
Jayaraman BalachanderNCD Consultant and Former Professor of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Post Graduate Institute of Medical Education and Research · INJawaharlal Institute of Post Graduate Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular diseases (CVDs) account for over three-quarters of all deaths taking place in developing nations. Objective: The present study aims to stratify noncommunicable disease (NCD) patients using the Globorisk chart for predicting their 10-year risk of a major (fatal or nonfatal) CVD event and to estimate the level of agreement between this country-specific chart and the existing World Health Organization (WHO)/International Society of Hypertension (ISH) risk strata. Methods: A record-based cross-sectional analytical study was conducted in 2018 among adults attending the NCD clinic of one rural and one urban primary health center in Puducherry. Laboratory and office risk calculators of the Globorisk chart were used to calculate the risk. Results: The median age (interquartile range (IQR)) of the 760 study participants was 58 (50-65) years. When calculated using the Globorisk prediction chart, 22.1% (n = 168) of the participants had a <10% risk for any CVD event in the next 10 years, whereas the same risk was found in 71.1% (n = 540) by using the WHO/ISH risk chart. There was no agreement found between the two risk charts (k = 0.0174; Conclusion: The Globorisk chart was found to identify more patients as belonging to the higher risk category as compared to WHO/ISH charts.

Indexed as

Cardiovascular diseasesGloborisknoncommunicable diseases

Identifiers

PMID38665448
PMCPMC11042130
OpenAlexW4392606289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.