Evidence map›Paper›PMID 36057931›Full record

ArticleLa Radiologia medica2022

Bone Strain Index: preliminary distributional characteristics in a population of women with normal bone mass, osteopenia and osteoporosis.

Fabio Massimo Ulivieri, Luca Rinaudo, Carmelo Messina, Alberto Aliprandi, Luca Maria Sconfienza, Francesco Sardanelli, Bruno Mario Cesana

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In one paragraph

Article in La Radiologia medica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Prevalence and Risk Factors of Osteoporosis in a Chinese Population: A Cross-Sectional Study in Xi'an, Shaanxi Province, China.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  8. Article
  9. Bone quality in endocrine diseases: determinants and clinical relevance.Journal of endocrinological investigation · 2023
    Review
  10. Review
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

7 authors at 3 institutions in 1 country.

Fabio Massimo UlivieriUO Medicina Nucleare, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122, Milan, Italy.
Luca RinaudoTecnologie Avanzate Srl, Lungo Dora Voghera, 36A, 10153, Turin, Italy.
Carmelo MessinaIRCCS Ospedale Galeazzi-Sant'Ambrogio, Via Cristina Belgioioso, 173, 20157, Milan, Italy. carmelo.messina@unimi.it.ORCID http://orcid.org/0000-0001-7518-5773
Alberto AliprandiUnit of Radiology, Clinical Institutes Zucchi, Via Bartolomeo Zucchi, 24, 20052, Monza, Italy.
Luca Maria SconfienzaIRCCS Ospedale Galeazzi-Sant'Ambrogio, Via Cristina Belgioioso, 173, 20157, Milan, Italy.
Francesco SardanelliDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Pascal, 36, 20100, Milan, Italy.
Bruno Mario CesanaUnità di Statistica Medica, Biometria e Bioinformatica "Giulio A. Maccacaro", Dipartimento di Scienze Cliniche e Salute della Comunità, Università degli Studi di Milano, Via Vanzetti, 5, 20100, Milan, Italy.
University of Milan · ITTecnologie Avanzate (Italy) · ITUniversità degli studi di Cassino e del Lazio Meridionale · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBone Strain Index (BSI) is a recently developed dual-energy X-ray absorptiometry (DXA) software, applying a finite element analysis on lumbar spine and femoral DXA scans. BSI is a parameter of bone deformation, providing information on bone resistance to applied loads. BSI values indicate the average bone strain in the explored site, where a higher strain (higher BSI values) suggests a higher fracture risk. This study reports the distributional characteristics of lumbar BSI (L-BSI) in women with normal bone mass, osteopenia or osteoporosis and their relationships with BMD, weight, height and BMI. MATERIAL AND

methodsTwo-hundred-fifty-nine consecutive unfractured women who performed DXA were divided into three groups based on BMD T-score: normal bone mass (n = 43, 16.6%), osteopenia (n = 82, 31.7%) and osteoporosis (n = 134, 51.7%). The distribution of L-BSI was evaluated with conventional statistical methods, histograms and by calculating parametric and nonparametric 95% confidence intervals, together with the 90%, 95% and 99% bilateral tolerance limits with a 95% confidence.

resultsNinety percent bilateral tolerance limits with 95% confidence for L-BSI distribution are 1.0-2.40, 0.95-2.63 and 0.84-3.15 in the group of patients with normal bone mass, 1.34-2.78, 1.24-2.95 and 1.05-3.32 in the osteopenic group and 1.68-3.79, 1.58-4.15 and 1.40-4.96 in the osteoporotic group.

conclusionIn women without vertebral fractures at baseline, L-BSI values from 1.68 (osteoporotic group) and 2.40 (upper of the normal bone mass group) can be tentatively chosen as a lower and upper threshold to stratify postmenopausal women according to their bone resistance to loads.

Indexed as

Bone Diseases, MetabolicOsteoporosisAbsorptiometry, PhotonBone DensityFemaleHumansLumbar VertebraeBMDBone Strain IndexDistribution tolerance limitsDXALumbar BSI

Identifiers

PMID36057931
OpenAlexW4295353192

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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.