Evidence map›Paper›PMID 38700787›Full record

ArticleBiomechanics and modeling in mechanobiology2024

An in silico approach to elucidate the pathways leading to primary osteoporosis: age-related vs. postmenopausal.

Rocío Ruiz-Lozano, José Luis Calvo-Gallego, Peter Pivonka, Michelle M McDonald, Javier Martínez-Reina

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Rocío Ruiz-LozanoDepartmento de Ingeniería Mecánica y Fabricación, Universidad de Sevilla, 41092, Seville, Spain.
José Luis Calvo-GallegoDepartmento de Ingeniería Mecánica y Fabricación, Universidad de Sevilla, 41092, Seville, Spain.
Peter PivonkaSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
Michelle M McDonaldFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Javier Martínez-ReinaDepartmento de Ingeniería Mecánica y Fabricación, Universidad de Sevilla, 41092, Seville, Spain. jmreina@us.es.

Funding

Australian Research Council IC190100020Ministerio de Ciencia, Innovación y Universidades PID2019-106969RB-I00
6 · The paper itself

Abstract

Numerical models of bone remodelling have traditionally been used to perform in silico tests of bone loss in postmenopausal women and also to simulate the response to different drug treatments. These models simulate the menopausal oestrogen decline by altering certain signalling pathways. However, they do not consider the simultaneous effect that ageing can have on cell function and bone remodelling, and thus on bone loss. Considering ageing and oestrogen decline together is important for designing osteoporosis treatments that can selectively counteract one or the other disease mechanism. A previously developed bone cell population model was adapted to consider the effect of ageing through: (1) the decrease of TGF-

Indexed as

AgingComputer SimulationOsteoporosisAgedEstrogensFemaleHumansMaleMiddle AgedModels, BiologicalOsteoporosis, PostmenopausalPostmenopauseRANK LigandSignal TransductionTransforming Growth Factor betaEstrogensRANK LigandTransforming Growth Factor betaAge-related osteoporosisOestrogen deficiencyPostmenopausal osteoporosisRANKL-RANK-OPG signalling pathwayTGF-

Identifiers

PMID38700787
PMCPMC11584493

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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.