Evidence map›Paper›PMID 37194829›Full record

ArticleArquivos brasileiros de cardiologia2023

Influence of Arm Fat on the Indirect Measurement of Blood Pressure: A Statistical and Machine Learning Approach.

Paôla de Oliveira Souza, José Maria Parente de Oliveira, Letícia Helena Januário

Open access · diamondAbstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2023. 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
0.4field-weighted citation impact, top 35% 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, 2 citations in OpenAlex.

  1. Review
  2. Blood Pressure Measurement: There's More Than Meets the Arm.Arquivos brasileiros de cardiologia · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Paôla de Oliveira SouzaInstituto Federal de Minas Gerais, Ibirité, MG - Brasil.ORCID 0000-0001-7867-8688
José Maria Parente de OliveiraInstituto Tecnológico de Aeronáutica, São José dos Campos, SP - Brasil.
Letícia Helena JanuárioUniversidade Federal de São João del-Rei, Divinópolis, SP - Brasil.ORCID 0000-0002-8535-8292
Federal University of São João del-Rei · BRInstituto Federal de Educação, Ciência e Tecnologia de Minas Gerais · BRInstituto Tecnológico de Aeronáutica · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe indirect measurement of blood pressure (BP) is known to be influenced by many factors such as the technique, observer, and equipment; however, the influence of arm composition has not been investigated yet.

objectiveTo identify the influence of arm fat on the indirect measurement of blood pressure using statistical inference and machine learning models.

methodsCross-sectional study, with 489 healthy young adults aged from 18 to 29 years old. Measurements of arm length (AL), arm circumference (AC) and arm fat index (AFI) were taken. BP was measured in both arms simultaneously. Data were processed using Python 3.0 and its specific packages for descriptive analysis, regression and cluster analysis. Significance levels: 5% for all calculations.

resultsBP and anthropometric measurements were different between the hemi-bodies. In the right arm, systolic blood pressure (SBP), AL and AFI were higher, while AC was similar compared with the left arm. AL and AC showed positive correlation with SBP. According to the regression model, for a fixed value of AC and AL, SBP readings could be reduced by a mean of 1.80 mmHg in the right arm, and 1.62 mmHg in the left arm for every 10% increase in AFI. Clustering analysis corroborated the regression results.

conclusionThere was a significant influence of AFI on BP readings. SBP had a positive correlation with AL and AC, and a negative correlation with AFI, suggesting the need for further investigations on the relationship between BP and percentages of arm muscle and fat.

Indexed as

Blood Pressure DeterminationHypertensionAdolescentAdultBlood PressureCross-Sectional StudiesHumansYoung Adult

Identifiers

PMID37194829
PMCPMC10348388
OpenAlexW4376872530

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.