Evidence map›Paper›PMID 33110823›Full record

ArticleJournal of family medicine and primary care2020

Cardiovascular risk using WHO-ISH chart among Diabetes and Hypertensive patients in a remote rural area of South India.

David Gregg Smith Ponraj, Sri Keerthana Gopikrishnan, Ariarathinam Newtonraj, Mark Christopher Arokiaraj, Anil Jacob Purty, Sunil Kumar Nanda, Mani Manikandan, Antony Vincent

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

8 authors at 1 institution in 1 country.

David Gregg Smith PonrajDepartment of Community Medicine, Pondicherry Institute of Medical Sciences, Puducherry, India.
Sri Keerthana GopikrishnanDepartment of Community Medicine, Pondicherry Institute of Medical Sciences, Puducherry, India.
Ariarathinam NewtonrajDepartment of Community Medicine, Pondicherry Institute of Medical Sciences, Puducherry, India.
Mark Christopher ArokiarajDepartment of Cardiology, Pondicherry Institute of Medical Sciences, Puducherry, India.
Anil Jacob PurtyDepartment of Community Medicine, Pondicherry Institute of Medical Sciences, Puducherry, India.
Sunil Kumar NandaDepartment of Biochemistry, Pondicherry Institute of Medical Sciences, Puducherry, India.
Mani ManikandanDepartment of Community Medicine, Pondicherry Institute of Medical Sciences, Puducherry, India.
Antony VincentDepartment of Community Medicine, Pondicherry Institute of Medical Sciences, Puducherry, India.
Pondicherry Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular diseases (CVDs) are major problems in India and many other developing and developed countries. As India is committed to provide universal health care for the population, there is a need to find out the prevalence and determinants of CVD risk among high-risk individuals (Diabetes and Hypertensive patients) in the remote rural area of India to deliver appropriate services, as they are considered as neglected population.

methodsWe screened high-risk individuals (Hypertension and Diabetes patients) for CVD risk using WHO/ISH chart, in a remote rural area of south India, covering ten villages surrounding the Rural Health Training Centre (RHTC), in August-September 2017. After line-listing the participants from the electronic database of RHTC, screening with questionnaire and biochemical tests was done at village level as the first step. Thereafter, the participants were invited to the hospital on a particular day where electrocardiography (ECG) and echocardiography (ECHO) were done with special consultation.

resultsAmong the total of 303 individuals screened at the village level, 64 [21%(CI 17-25)] had a higher risk for CVD. 235 people attended the special consultation; among them, 212 underwent ECG and 88 underwent ECHO. Among those screened with ECHO, 18 had some cardiac pathologies. The relationship between CVD risk and other factors is shown in. After final adjustment, illiteracy [adjusted prevalence ratio (aPR) 1.8 (0.1-3.1)], anemia [aPR 1.8 (1-3.6)], and chronic renal diseases [aPR 1.8 (1.0-3.4)] were found to be associated with high risk for CVD among hypertension and diabetes groups.

conclusionCardiovascular disease risk assessment using WHO/ISH chart showed an association with poor education, anemia, and chronic kidney disease.

Indexed as

CardiovascularIndiaISH chartrural

Identifiers

PMID33110823
PMCPMC7586597
OpenAlexW3082070365

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.