Evidence map›Paper›PMID 34526510›Full record

ArticleScientific data2021

Murine femur micro-computed tomography and biomechanical datasets for an ovariectomy-induced osteoporosis model.

Maialen Stephens, Karen López-Linares, Javier Aldazabal, Iratxe Macias, Naiara Ortuzar, Harkaitz Bengoetxea, Susana Bulnes, Natividad Alcorta-Sevillano, Arantza Infante, Jose Vicente Lafuente and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Application and prospects of nanomaterials in osteoporosis treatment.International journal of pharmaceutics: X · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Effects of Jintiange on the healing of osteoporotic fractures in aged rats.Journal of orthopaedic surgery and research · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. 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

11 authors.

Maialen Stephens *Vicomtech Foundation, Donostia-San Sebastián, Spain.
Karen López-Linares *Vicomtech Foundation, Donostia-San Sebastián, Spain.
Javier Aldazabal *TECNUN - Universidad de Navarra, Manuel de Lardizábal 13, 20018, Donostia-San Sebastián, Spain.
Iratxe MaciasStem Cells and Cell Therapy Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, Plaza de Cruces S/N, 48903, Barakaldo, Bizkaia, Spain.
Naiara OrtuzarUniversity of the Basque Country, UPV/EHU, Leioa, Bizkaia, Spain.
Harkaitz BengoetxeaUniversity of the Basque Country, UPV/EHU, Leioa, Bizkaia, Spain.
Susana BulnesUniversity of the Basque Country, UPV/EHU, Leioa, Bizkaia, Spain.
Natividad Alcorta-SevillanoStem Cells and Cell Therapy Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, Plaza de Cruces S/N, 48903, Barakaldo, Bizkaia, Spain.
Arantza InfanteStem Cells and Cell Therapy Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, Plaza de Cruces S/N, 48903, Barakaldo, Bizkaia, Spain.ORCID 0000-0002-1625-2865
Jose Vicente LafuenteLaboratory of Clinical and Experimental Neuroscience, Department of Neuroscience, University of the Basque Country, UPV/EHU, Leioa, Bizkaia, Spain.
Clara I RodríguezStem Cells and Cell Therapy Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, Plaza de Cruces S/N, 48903, Barakaldo, Bizkaia, Spain. cirodriguez@osakidetza.eus.ORCID 0000-0002-6749-6288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of new effective and safer therapies for osteoporosis, in addition to improved diagnostic and prevention strategies, represents a serious need in the scientific community. Micro-CT image-based analyses in association with biomechanical testing have become pivotal tools in identifying osteoporosis in animal models by assessment of bone microarchitecture and resistance, as well as bone strength. Here, we describe a dataset of micro-CT scans and reconstructions of 15 whole femurs and biomechanical tests on contralateral femurs from C57BL/6JOlaHsd ovariectomized (OVX), resembling human post-menopausal osteoporosis, and sham operated (sham) female mice. Data provided for each mouse include: the acquisition images (.tiff), the reconstructed images (.bmp) and an.xls file containing the maximum attenuations for each reconstructed image. Biomechanical data include an.xls file with the recorded load-displacement, a movie with the filmed test and an.xls file collecting all biomechanical results.

Indexed as

OsteoporosisX-Ray MicrotomographyAnimalsBiomechanical PhenomenaDisease Models, AnimalFemaleFemurMiceMice, Inbred C57BLOvariectomy

Identifiers

PMID34526510
PMCPMC8443718

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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.