Evidence map›Paper›PMID 37728773›Full record

ArticleRheumatology international2023

Effect of the body mass index, basal metabolic rate, and body fat on the radiofrequency echographic multi-spectrometry (REMS)-based bone mineral density and fracture risk: a cross-sectional study.

Nikola Kirilov, Stoyanka Vladeva, Fabian Bischoff, Zguro Batalov, Anastas Batalov, Elena Bischoff

Abstract read
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Article in Rheumatology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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  4. Combining OSTA and BMR to predict osteoporosis in Chinese population.Journal of orthopaedic surgery and research · 2024
    Article
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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

6 authors at 4 institutions in 1 country.

Nikola KirilovDepartment of Orthopedics and Traumatology, University Hospital "UMBAL Dr. Georgi Stranski", Medical University-Pleven, Pleven, Bulgaria. kirilov_9@abv.bg.ORCID 0000-0001-7668-2448
Stoyanka VladevaDepartment of Health Care, Faculty of Medicine, Trakia University, Stara Zagora, Bulgaria.ORCID 0000-0001-6457-5178
Fabian BischoffRheumatology Practice IPSMP, Stara Zagora, Bulgaria.ORCID 0000-0003-0753-5377
Zguro BatalovDepartment of Internal Diseases, Medical University of Plovdiv, Clinic of Rheumatology, University Hospital 'Kaspela', Plovdiv, Bulgaria.ORCID 0000-0003-1233-5775
Anastas BatalovDepartment of Internal Diseases, Medical University of Plovdiv, Clinic of Rheumatology, University Hospital 'Kaspela', Plovdiv, Bulgaria.ORCID 0000-0001-8857-0574
Elena BischoffDepartment of Internal Diseases, Pharmacology, Paediatrics, Social Medicine, Emergency Medicine, Computer Technology, Infectious Diseases, Physiotherapy and Rehabilitation, Epidemiology and Tropical Diseases, Faculty of Medicine, University "Prof. Dr. Assen Zlatarov"-Burgas, Burgas, Bulgaria.ORCID 0000-0003-1632-2920
Medical University Plovdiv · BGTrakia University · BGProf. Assen Zlatarov University · BGUniversity Hospital Dr. Georgi Stranski · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiofrequency echographic multi-spectrometry (REMS) is a method to assess bone mineral density (BMD) of the axial skeleton, fragility score (FS), body mass index (BMI), basal metabolic rate (BMR), and body fat (BF) in %. The aim of the study was to investigate the influence of the BMI, BMR, and BF on the BMD and fracture risk with REMS. We conducted a cross-sectional study among 313 women, aged 20-90 years who underwent a screening for osteoporosis with REMS. Kruskal-Wallis was used to analyze the differences in BMI, BMR, and BF between the groups according to the BMD: normal BMD, osteopenia and osteoporosis and differences in the FS, fracture risk assessment (FRAX) for major osteoporotic fractures and for hip fractures (HF) according to the BMI groups: underweight, normal weight, overweight, obese, and extreme obese. Linear regression was used to assess the correlations BMI-BMD, BMR-BMD, and BF-BMD. BMI, BMR, and BF differed significantly between the groups according to the BMD (p < 0.001, p = 0.028, and p < 0.001, respectively). BMR showed high positive correlation to BMD (R = 0.765) with 95% confidence interval (CI) [0.715, 0.807] and significance of p < 0.001. BMI correlated significantly to BMD (p < 0.001), the correlation was low positive (R = 0.362) with 95% CI [0.262, 0.455]. In the BMI groups, there was significant difference in FRAX for HF and FS with p value 0.014 and < 0.001, respectively. Subjects with low BMI, BMR, and BF are at high risk for osteoporosis. Underweight women show significantly high fracture risk, assessed with FRAX and FS.

Indexed as

Adipose TissueBasal MetabolismBody Mass IndexBone DensityOsteoporosisOsteoporotic FracturesAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMiddle AgedRisk AssessmentRisk FactorsYoung AdultBasal metabolismBody fatBody mass indexFractureREMSRisk

Identifiers

PMID37728773
OpenAlexW4386878852

What OpenQuestion holds

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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.