Evidence map›Paper›PMID 31186951›Full record

ArticleInternational journal of hypertension2019

Selective Blood Pressure Screening in the Young: Quantification of Population Wide Underestimation of Elevated Blood Pressure.

Hannelore Neuhauser, Carolin Adler, Giselle Sarganas

Open access · goldAbstract read
In one paragraph

Article in International journal of hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  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

3 authors at 1 institution in 1 country.

Hannelore NeuhauserRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.ORCID 0000-0002-6605-6221
Carolin AdlerRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Giselle SarganasRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.ORCID 0000-0002-6296-3174
Robert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Universal blood pressure (BP) screening in children and adolescents is questioned in prevention guidelines, while measuring blood pressure in the young in the context of overweight, obesity, or parental hypertension is promoted. This study quantifies with population data the underestimation of elevated blood pressure that would result from limiting BP screening only to those with overweight, obesity, or parental hypertension in the young. Selective screening was simulated with representative national health examination data from Germany (age 3-17, N=14,633, KiGGS0 study 2003-2006; age 18-39, N=1,884, DEGS1 2008-2011 study), with mean of two oscillometric measurements on one occasion; cutoffs for hypertensive BP in children were the 95th percentile using KiGGS percentiles, and for sensitivity analyses Fourth Report percentiles, in adults 140/90 mmHg; childhood overweight and obesity were classified according to the International Obesity Task Force and for adults as BMI ≥25 and ≥30 kg/m2. In 3-17-year-olds, different selective BP screening scenarios were simulated: screening only in those with obesity, overweight, parental hypertension, combination of overweight and parental hypertension, resulting in screening 5.6%, 20.0%, 28.5%, and 42.6% of the population and detecting 17.2%, 38.6%, 30.3%, and 58.2% of all hypertensive cases in the population. In conclusion our results show a large screening gap that would result from selective BP screening only in those with overweight, obesity, or parental hypertension.

Identifiers

PMID31186951
PMCPMC6521444
OpenAlexW2943594212

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.