Evidence map›Paper›PMID 34511954›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Is Office Blood Pressure Measurement Reliable in Obese Adolescents?

Derya Tepe, Songül Yılmaz

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 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

2 authors at 2 institutions in 1 country.

Derya TepeDepartment of Pediatric Endocrology, Ankara Yıldırım Beyazıt Üniversity, Yenimahalle Education and Research Hospital, Ankara, Turkey.ORCID 0000-0002-2935-3008
Songül YılmazDepartment of Pediatric Nephrology, Ankara Yıldırım Beyazıt Üniversity, Yenimahalle Education and Research Hospital, Ankara, Turkey.ORCID 0000-0002-2752-5208
Ankara Yıldırım Beyazıt University · TRYenişehir Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough it is not reflected in the OBP measurement in obese children, ambulatory BP changes are known to occur. MH, non-dipper pattern and nocturnal hypertension have been reported to increase in obese children. On the other hand, the factors that indicate a high risk of hypertension are still unclear. The aim of our study is to especially detect masked hypertension by 24-hour BP measurement in obese adolescents and to evaluate the relationship of masked hypertension with metabolic syndrome parameters, anthropometric measurements and hepatosteatosis in these patients.

methodsA total of 63 adolescents diagnosed with obesity were evaluated between January 2019 and December 2019. Office blood pressure was measured for all children, and all of them underwent ABPM. Patients with and without hypertension in ABPM were compared in terms of clinical and laboratory findings.

resultsThe mean age was 14.0 ± 1.7 years, females composed 49.2% of the study population. Office blood pressure measurement revealed hypertension in 4 (6.3%) patients and prehypertension in 15 (23.8%) patients. Thirteen patients (20.9%) were diagnosed with masked hypertension, white coat hypertension was diagnosed in 3 (4.7%) patients. Abnormal ABPM patterns were found to be significantly more frequent in patients with severely obesity (with obesity: 26.4% vs severe obesity: 55.6%, p = 0.03) and patients with a higher waist circumference and waist circumference/height ratio.

conclusionThe prevalence of masked hypertension in obese adolescents has been found to be quite high. Therefore, we recommend ABPM in adolescents with high waist circumference/height ratio and severe obesity, even if their office blood pressure measurements are normal.

Indexed as

adolescenthypertensionmetabolic syndromeobesitywaist circumference

Identifiers

PMID34511954
PMCPMC8421040
OpenAlexW3197379010

What OpenQuestion holds

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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.