Evidence map›Paper›PMID 38786344›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Generation and Validation of Normative, Age-Specific Reference Curves for Bone Strain Index in Women.

Luca Rinaudo, Sofia Cuttone, Carmelo Messina, Veronica Magni, Davide Capra, Luca Maria Sconfienza, Francesco Sardanelli, Fabio Massimo Ulivieri

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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. Review
  2. 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

8 authors.

Luca RinaudoTecnologie Avanzate T.A. srl, Lungo Dora Voghera 36/A, 10153 Torino, Italy.ORCID 0000-0003-1221-8552
Sofia CuttoneTecnologie Avanzate T.A. srl, Lungo Dora Voghera 36/A, 10153 Torino, Italy.
Carmelo MessinaIRCCS Istituto Ortopedico Galeazzi, 20157 Milano, Italy.ORCID 0000-0001-7518-5773
Veronica MagniPostgraduate School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milano, Italy.ORCID 0000-0002-4240-0059
Davide CapraPostgraduate School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milano, Italy.ORCID 0000-0001-7978-4730
Luca Maria SconfienzaIRCCS Istituto Ortopedico Galeazzi, 20157 Milano, Italy.ORCID 0000-0003-0759-8431
Francesco SardanelliDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, 20122 Milano, Italy.ORCID 0000-0001-6545-9427
Fabio Massimo UlivieriFondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122 Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone Strain Index (BSI), based on dual-energy X-ray absorptiometry (DXA), is a densitometric index of bone strength of the femur and lumbar spine. Higher BSI values indicate a higher strain applied to bone, predisposing to higher fracture risk. This retrospective, multicentric study on Italian women reports the BSI normative age-specific reference curves. A cohort of Caucasian Italian women aged 20 to 90 years was selected from three different clinical centres. Bone mineral density (BMD) and BSI measurements were obtained for the lumbar spine vertebrae (L1-L4) and for the femur (neck, trochanter and intertrochanter) using Hologic densitometers scans. The data were compared with BMD normative values provided by the densitometer manufacturer. Then, the age-specific BSI curve for the femur and lumbar spine was generated. No significant difference was found between the BMD of the subjects in this study and BMD reference data provided by Hologic (

Indexed as

Bone Strain Index (BSI)distributionDXAF-BSIL-BSInormative data

Identifiers

PMID38786344
PMCPMC11120451

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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.