Evidence map›Paper›PMID 37938240›Full record

ArticleScientific reports2023

Emphatic information on bone mineral loss using quantitative ultrasound sonometer for expeditious prediction of osteoporosis.

Kottaimalai Ramaraj, Pallikonda Rajasekaran Murugan, Gautam Amiya, Vishnuvarthanan Govindaraj, Muneeswaran Vasudevan, M Thirumurugan, Yudong Zhang, S Sheik Abdullah, Arunprasath Thiyagarajan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

9 authors at 3 institutions in 2 countries.

Kottaimalai RamarajDepartment of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India.
Pallikonda Rajasekaran MuruganDepartment of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India. m.p.raja@klu.ac.in.
Gautam AmiyaDepartment of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India.
Vishnuvarthanan GovindarajData Science Division, School of Computing Science and Engineering, VIT-Bhopal, Sehore, Madhya Pradesh, India.
Muneeswaran VasudevanDepartment of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India.
M ThirumuruganMGR Medical University, Chennai, Tamilnadu, India.
Yudong ZhangSchool of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK. yudongzhang@ieee.org.
S Sheik AbdullahDepartment of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India.
Arunprasath ThiyagarajanData Science Division, School of Computing Science and Engineering, VIT-Bhopal, Sehore, Madhya Pradesh, India.
Kalasalingam Academy of Research and Education · INTamil Nadu Dr. M.G.R. Medical University · INUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis (OP) and osteoarthritis (OA) are skeletal disorders characterized by a reduction in bone density and quality, resulting in increased fragility and susceptibility to fractures. These illnesses are exhibiting a higher prevalence among both males and females. Fracture risk is determined by using the BMD score (Bone Mineral Density). Looking at the bone loss that comes with osteoarthritis (OA) and osteoporosis (OP), this study also looks at the technological methods used to test for these conditions in order to improve therapies and treatment plans for older people. As a matter of consideration, the prevalence of osteoporosis is higher among postmenopausal women (20%) compared to premenopausal women (14.28%) and males (6.77%). The utilization of a preliminary calcaneal Quantitative Ultrasound (QUS) examination is warranted in order to effectively handle the matter of osteoporosis. The prompt assessment of a patient can provide valuable insights into potential fractures and aid in the prevention of bone injury. In a nutshell, it is imperative to comprehend the impact of OA (osteoarthritis) and OP (osteoporosis) on bone health in order to effectively manage the escalating apprehensions surrounding these conditions. Sophisticated diagnostic techniques, such as the calcaneal quantitative ultrasound (QUS) test, have the potential to enhance the well-being of older individuals by enabling early detection and treatment of many ailments.

Indexed as

Bone Diseases, MetabolicFractures, BoneOsteoarthritisOsteoporosisAgedBone DensityFemaleHumansMaleMineralsMinerals

Identifiers

PMID37938240
PMCPMC10632436
OpenAlexW4388489596

What OpenQuestion holds

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LicenceCC BY
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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.