Evidence map›Paper›PMID 37323219›Full record

ArticleMaterials & design2023

Osteoporosis and Covid-19: Detected similarities in bone lacunar-level alterations via combined AI and advanced synchrotron testing.

Federica Buccino, Luigi Zagra, Elena Longo, Lorenzo D'Amico, Giuseppe Banfi, Filippo Berto, Giuliana Tromba, Laura Maria Vergani

Open access · goldAbstract read
In one paragraph

Article in Materials & design, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. The effects of SARS-CoV-2 on bone homeostasis.Frontiers in endocrinology · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. The Role of Rosavin in the Pathophysiology of Bone Metabolism.International journal of molecular sciences · 2024
    Review
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  12. 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

8 authors at 3 institutions in 2 countries.

Federica BuccinoDepartment of Mechanical Engineering, Politecnico di Milano, 20156, Italy.
Luigi ZagraI.R.C.C.S Ospedale Galeazzi - Sant'Ambrogio, Milano 20157, Italy.
Elena LongoElettra-Sincrotrone Trieste SCpA, Basovizza, Trieste 34149, Italy.
Lorenzo D'AmicoElettra-Sincrotrone Trieste SCpA, Basovizza, Trieste 34149, Italy.
Giuseppe BanfiI.R.C.C.S Ospedale Galeazzi - Sant'Ambrogio, Milano 20157, Italy.
Filippo BertoUniversità La Sapienza, Rome 00185, Italy.
Giuliana TrombaElettra-Sincrotrone Trieste SCpA, Basovizza, Trieste 34149, Italy.
Laura Maria VerganiDepartment of Mechanical Engineering, Politecnico di Milano, 20156, Italy.
Elettra-Sincrotrone Trieste S.C.p.A. · ITPolitecnico di Milano · ITNTNU Samfunnsforskning · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While advanced imaging strategies have improved the diagnosis of bone-related pathologies, early signs of bone alterations remain difficult to detect. The Covid-19 pandemic has brought attention to the need for a better understanding of bone micro-scale toughening and weakening phenomena. This study used an artificial intelligence-based tool to automatically investigate and validate four clinical hypotheses by examining osteocyte lacunae on a large scale with synchrotron image-guided failure assessment. The findings indicate that trabecular bone features exhibit intrinsic variability related to external loading, micro-scale bone characteristics affect fracture initiation and propagation, osteoporosis signs can be detected at the micro-scale through changes in osteocyte lacunar features, and Covid-19 worsens micro-scale porosities in a statistically significant manner similar to the osteoporotic condition. Incorporating these findings with existing clinical and diagnostic tools could prevent micro-scale damages from progressing into critical fractures.

Indexed as

Bone lacunaeCovid-19Micro-scaleOsteoporosisSynchrotron

Identifiers

PMID37323219
PMCPMC10257887
OpenAlexW4380267003

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.