Evidence map›Paper›PMID 29184318›Full record

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

Linkages between Hypertension and Coronary Heart Disease in India: Evidence from India Human Development Survey-2 (2011-2012).

Ayantika Biswas, Shri Kant Singh, Rakesh Kumar Singh

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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 11 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 2 institutions in 1 country.

Ayantika BiswasDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, Maharashtra, India.
Shri Kant SinghDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, Maharashtra, India.
Rakesh Kumar SinghSchool of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
International Institute for Population Sciences · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVDs) are the leading causes of death globally (nearly 17.5 million deaths/year). Hypertension and coronary heart disease (CHD) are two of the most important CVDs. There is a dearth of studies at a large scale in India to ascertain the factors as well as social differentials in the prevalence of heart disease associated with hypertension. This paper attempts to bridge the gap in the relevant area. METHODOLOGY: Secondary analysis of the data obtained from India Human Development Survey (IHDS), conducted in two rounds in 2004-2005 and 2011-2012, was done (

resultsIn India, the prevalence for CHD is 1.1% for 2011-2012. Findings showed that persons with hypertension are 11 times (odds ratio [OR] = 11.58,

conclusionsThe unadjusted odds of suffering from CHD when hypertension is a predictor are much higher than when the odds are adjusted for socioeconomic and demographic variables. Along with hypertension, age, education, and place of residence have also been found to be important determinants of CHD.

Indexed as

Cardiovascular diseasescoronary heart diseasehypertensionIndia

Identifiers

PMID29184318
PMCPMC5682717
OpenAlexW2766608786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.