Evidence map›Paper›PMID 38060764›Full record

ArticleCureus2023

Cardiovascular Disorder Risk Assessment Among Police Personnel in Bengaluru City, India, Using World Health Organization/International Society of Hypertension Risk Prediction Chart.

Geethu S, Jyothi Jadhav, Ranganath Ts

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Geethu SCommunity Medicine, Bangalore Medical College and Research Institute, Bengaluru, IND.
Jyothi JadhavCommunity Medicine, Bangalore Medical College and Research Institute, Bengaluru, IND.
Ranganath TsCommunity Medicine, Bangalore Medical College and Research Institute, Bengaluru, IND.
Bangalore Medical College and Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context Cardiovascular diseases (CVDs) are important causes of premature death and disability and elevated healthcare costs. A significant percentage of this morbidity and mortality could be prevented by population-based strategies and cost-effective interventions for those at risk and with established diseases. Aim This study aims to estimate the 10-year risk of cardiovascular events (fatal or non-fatal) among police personnel in Bengaluru City, India. Materials and methods Police personnel above 40 years of age in Bengaluru City, India, were screened for CVD risk using the WHO/International Society of Hypertension (ISH) chart from November 2019 to June 2021. Data was collected by the multistage random sampling method by direct interview at the police station using a semi-structured questionnaire. CVD risk and associated factors were assessed using the WHO/ISH risk prediction chart. Data was entered into Microsoft Office Excel (Microsoft Corporation, Washington, United States) and analyzed using SPSS Statistics version 20.0 (IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.). Results Among 400 study participants, 9.3% (n=37) had a high risk, 2.3% (n=9) had a moderate risk, and 88.5% (n=354) had a low risk of developing fatal or non-fatal cardiovascular events in the next 10 years. Cardiovascular risk was found to be associated with certain socio-demographic and behavioral risk factors. Furthermore, a significant association (p<0.05) was found between CVD risk and the presence of comorbidities such as diabetes and hypertension. Conclusion The study indicates that there is a high burden of predicted cardiovascular risks among the study participants. The WHO/ISH chart can be used as a simple tool for cardiovascular risk stratification.

Indexed as

bengalurucardiovascular eventcvd riskpolice personnelwho/ish risk prediction chart

Identifiers

PMID38060764
PMCPMC10699544
OpenAlexW4388425521

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.