Evidence map›Paper›PMID 40868915›Full record

ArticleLife (Basel, Switzerland)2025

Methodological Approach to Predicting Lower Limb Blood Flow Restriction Pressure Using Anthropometry and Hemodynamics.

Onur Mutlu Yaşar, Veli Volkan Gürses, Ali Erdem Ciğerci, Özkan Güler, Murat Turğut, Oğuz Gürkan, Mustafa Baş, Serhat Özdenk, Fatma Neşe Şahin, Levent Ceylan and 1 more

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. 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. Effects of Exercise Training on Muscle Function.Life (Basel, Switzerland) · 2025
    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

11 authors.

Onur Mutlu YaşarFaculty of Health Sciences, Izmir Demokrasi University, Izmir 35140, Türkiye.ORCID 0000-0001-7598-3927
Veli Volkan GürsesFaculty of Sport Sciences, Bandırma University, Balıkesir 10200, Türkiye.
Ali Erdem CiğerciFaculty of Sports Sciences, Kastamonu University, Kastamonu 37100, Türkiye.ORCID 0000-0003-3143-5982
Özkan GülerFaculty of Sports Sciences, Ankara University, Ankara 06830, Türkiye.
Murat TurğutFaculty of Sport Sciences, Sinop University, Sinop 57000, Türkiye.ORCID 0000-0002-4050-6482
Oğuz GürkanFaculty of Sport Sciences, Yozgat University, Yozgat 66000, Türkiye.
Mustafa BaşFaculty of Life Sciences, University of Health Sciences, Istanbul 34744, Türkiye.
Serhat ÖzdenkFaculty of Sport Sciences, Sinop University, Sinop 57000, Türkiye.ORCID 0000-0002-4376-7434
Fatma Neşe ŞahinFaculty of Sports Sciences, Ankara University, Ankara 06830, Türkiye.ORCID 0000-0002-8777-5807
Levent CeylanFaculty of Sport Sciences, Hitit University, Corum 19030, Türkiye.ORCID 0000-0002-3045-1211
Hamza KüçükYasar Dogu Faculty of Sport Sciences, Ondokuz Mayis University, Samsun 55200, Türkiye.ORCID 0000-0002-9912-9909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood flow restriction (BFR) training, first introduced by Dr. Yoshiaki Sato as KAATSU, has attracted increasing interest in sports science. Although the BFR training method has several additional benefits, the way occlusion pressure is identified contributes to BFR usability and safety. This study aims to develop and validate a predictive model for estimating individualized LOP with manual technique by examining the influence of blood pressure, fat percentage, limb circumference, and BMI as independent variables. A total of 158 healthy male adults participated in the study. Subjects with cardiovascular, metabolic, or musculoskeletal disorders, as well as those using supplements, medications, or nicotine, were excluded from the study. The cross-sectional study examined the correlation between the variables and derived a regression equation for predicting the corresponding LOP and anthropometric values. Three measurements were taken and the arithmetic mean was calculated from these measurements. It is evident that body mass index (BMI) emerged as a significant contributing factor in predicting limb occlusion pressure (LOP), outpacing traditional anthropometric variables such as limb circumference or body fat percentage. The regression model accounted for 18% of the variance in LOP (R

Indexed as

anthropometryBFRexercisehemodynamicsmuscle function

Identifiers

PMID40868915
PMCPMC12387477

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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.