Evidence map›Paper›PMID 34904364›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2022

Cardiovascular risk factors of airport visitors in India: results from a nation-wide campaign.

Willem J Verberk, Nilesh Goswami

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. 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
–field-weighted citation impact
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

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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.

  1. Article
  2. Article
  3. Observational
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

2 authors.

Willem J VerberkCARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands.ORCID 0000-0003-2230-0488
Nilesh GoswamiEris Lifesciences Ltd., Ahmedabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases have become the major cause of death in India, but overall awareness is still low. Therefore, the initiative was undertaken to set up health care screening booths at eight airports and one hospital throughout India to increase awareness and to determine cardiovascular risk factors. Participants were screened for hypertension (systolic blood pressure (BP) ≥140 mmHg or diastolic BP≥90 mmHg), diabetes [fasting blood glucose (FBG) level ≥126  or ≥200 mg/dL for random blood glucose (RBG)], and body mass index (BMI). Among 100 107 participants screened (46 ± 13 years; 17% women), prevalence of diabetes was 12 571 (15%), hypertension: 30 345 (33%) and overweight: 61 219 (65%). Diabetes was treated more often than hypertension (44% vs 11%). Hypertension and diabetes prevalence values were relatively high in young obese adults; BMI correlated significantly (p < .001) stronger to both systolic BP and RBG for subjects younger than 40 years than for those who were older (r = 0.27 vs r = 0.06 and r = 0.15 vs r = 0.03, respectively). Among obese women aged 60 years and older the hypertension prevalence was higher than 40%, in obese men this prevalence value was already seen from the group of 30 to 40 years old. For participants older than 50 years with hypertension, diabetes prevalence was 20%. These results show that screening initiatives like these are highly needed to increase the overall awareness of diabetes and particularly of hypertension. Systematic screening programs also help to identify specific patient populations and cope with undertreatment of those at the highest cardiovascular risk. The fact that women were underrepresented in the present screening campaign suggests actions are needed to encourage them to participate in health care programs.

Indexed as

Cardiovascular DiseasesHypertensionAdultAgedAirportsBlood PressureFemaleHeart Disease Risk FactorsHumansIndiaMaleMiddle AgedPrevalenceRisk Factorscardiovascular riskdiabeteshypertensionobesityscreening

Identifiers

PMID34904364
PMCPMC8783355

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Registered trials

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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.