Evidence map›Paper›PMID 32515484›Full record

ArticleCardiology journal2022

Prediction of the hypertension risk in teenagers.

Piotr Wieniawski, Bożena Werner

Open access · goldAbstract read
In one paragraph

Article in Cardiology journal, 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
0.7field-weighted citation impact, top 26% 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, 8 citations in OpenAlex.

  1. Review
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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

2 authors at 1 institution in 1 country.

Piotr WieniawskiDepartment of Pediatric Cardiology and General Pediatrics, Medical University of Warsaw, Poland.ORCID 0000-0002-6416-4106
Bożena WernerDepartment of Pediatric Cardiology and General Pediatrics, Medical University of Warsaw, Poland. bozena.werner@wum.edu.pl.ORCID 0000-0001-8711-0891
Medical University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCreation of a hypertension risk stratification model and development of an algorithm to detect hypertension in teenagers.

methodsThe study group consisted of 690 middle and high school students, aged 15-17 years, from the metropolitan area of Warsaw, Poland. Information concerning family history and presence of risk factors for cardiovascular disease was gathered. Three-time blood pressure measurements were taken during at least two separate visits, which were at least a week apart, using the auscultatory method, according to standard procedures. Anthropometric measurements included: body weight, height, arm, hip and abdominal circumference, skin-fold thickness measured on the rear surface of an arm, below the inferior angle of the scapula and at the belly. Following indexes were determined: body mass index, waist to hip ratio (WHR), waist to height ratio, hip to height ratio.

resultsA logistic regression model, describing the risk of hypertension in adolescents aged 15-17 was invented. p(x) = (e^g(x))/(1+e^g(x)) where ĝ(x) = -0.097 × height+0.085 × weight+7.764 × WHR+1.312 × family hypertension. Family hypertension means presence of hypertension among members of the closest family. The formula was created, allowing the pre-selection of adolescents at risk of hypertension during screening. Next an algorithm for the detection of hypertension for practical use was proposed.

conclusionsBody weight, WHR and incidence of hypertension in the family are the strongest predictors of hypertension in teenagers. Proposed screening algorithm can be a useful tool for selecting teenagers at risk of hypertension and in need of specialized diagnostics and care.

Indexed as

Cardiovascular DiseasesHypertensionAdolescentBody Mass IndexHumansObesityRisk FactorsWaist Circumferencehypertension in childrenhypertension in teenagershypertension risk stratificationprediction of hypertensionprimary hypertension

Identifiers

PMID32515484
PMCPMC9788731
OpenAlexW3033596879

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.