Evidence map›Paper›PMID 35596598›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2022

Height-based equations as screening tools for high blood pressure in pediatric practice, the GENOBOX study.

Gloria Pérez-Gimeno, Azahara I Ruperez, Mercedes Gil-Campos, Concepción M Aguilera, Augusto Anguita, Rocío Vázquez-Cobela, Estela Skapino, Luis A Moreno, Rosaura Leis, Gloria Bueno-Lozano

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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. 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

10 authors.

Gloria Pérez-GimenoGrowth Exercise, Nutrition and Development (GENUD) Research group, Universidad de Zaragoza, Instituto de Investigación Sanitartia de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), Zaragoza, Spain.
Azahara I RuperezGrowth Exercise, Nutrition and Development (GENUD) Research group, Universidad de Zaragoza, Instituto de Investigación Sanitartia de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), Zaragoza, Spain.
Mercedes Gil-CamposMetabolic Pediatric and Investigation Unit, Reina Sofía University Hospital, Maimónides Insitute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, Córdoba, Spain.
Concepción M AguileraCIBEROBN, (Physiopathology of Obesity and Nutrition) Institute of Health Carlos III (ISCIII), Madrid, Spain.
Augusto AnguitaCIBEROBN, (Physiopathology of Obesity and Nutrition) Institute of Health Carlos III (ISCIII), Madrid, Spain.
Rocío Vázquez-CobelaCIBEROBN, (Physiopathology of Obesity and Nutrition) Institute of Health Carlos III (ISCIII), Madrid, Spain.
Estela SkapinoGrowth Exercise, Nutrition and Development (GENUD) Research group, Universidad de Zaragoza, Instituto de Investigación Sanitartia de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), Zaragoza, Spain.
Luis A MorenoGrowth Exercise, Nutrition and Development (GENUD) Research group, Universidad de Zaragoza, Instituto de Investigación Sanitartia de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), Zaragoza, Spain.
Rosaura LeisCIBEROBN, (Physiopathology of Obesity and Nutrition) Institute of Health Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0002-0540-4210
Gloria Bueno-LozanoGrowth Exercise, Nutrition and Development (GENUD) Research group, Universidad de Zaragoza, Instituto de Investigación Sanitartia de Aragón (IIS Aragón), Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), Zaragoza, Spain.

Funding

Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición CB15/00043Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición CB15/00131Ministerio de Ciencia e Innovación PI11/01425Ministerio de Ciencia e Innovación PI11/02042Ministerio de Ciencia e Innovación PI11/02059Ministerio de Ciencia e Innovación PI16/00871Ministerio de Ciencia e Innovación PI16/01205Ministerio de Ciencia e Innovación PI16/01301Ministerio de Ciencia e Innovación PI20/00563Ministerio de Ciencia e Innovación PI20/00924Ministerio de Ciencia e Innovación PI20/00988Ministerio de Ciencia e Innovación RD08/0072/0028
6 · The paper itself

Abstract

Due to the absence of easily applicable cut-off points to determine high blood pressure or hypertension in children, as in the adult population, blood pressure is rarely measured in the pediatrician's clinical routine. This has led to an underdiagnosis of high blood pressure or hypertension in children. For this reason, the present study evaluate the utility of five equations for the screening of high blood pressure in children: blood pressure to height ratio, modified blood pressure to height ratio, new modified blood pressure to height ratio, new simple formula and height-based equations. The authors evaluated 1599 children between 5 and 18 years. The performance of the five equations was analyzed using the receiver-operating characteristics curves for identifying blood pressure above P90th according to the American Academy of Pediatrics Clinical Practice Guideline 2017. All equations showed an area under the curve above 0.882. The new modified blood pressure to height ratio revealed a high sensitivity whereas the height-based equations showed the best performance, with a positive predictive value above 88.2%. Finally, all equations showed higher positive predictive values in children with overweight or obesity. The height-based equation obtained the highest PPV values above 71.1% in children with normal weight and above 90.2% in children with overweight or obesity. In conclusions, the authors recommend the use of the height-based equations equation because it showed the best positive predictive values to identify children with elevated blood pressure, independently of their sex, pubertal and weight status.

Indexed as

HypertensionPediatricsBlood PressureBody HeightChildHumansObesityOverweightchildrenheight-based equationshigh blood pressurepediatricianscreening

Identifiers

PMID35596598
PMCPMC9180328

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.