Evidence map›Paper›PMID 28785849›Full record

ReviewMedical & biological engineering & computing2017

A review of computational models of bone fracture healing.

Monan Wang, Ning Yang, Xinyu Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  7. Review
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  13. [Numerical simulation of fracture healing].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Article
  14. Review
  15. Review
  16. 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

3 authors.

Monan WangSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang, 150080, China. mnwang@hrbust.edu.cn.
Ning YangSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang, 150080, China.
Xinyu WangSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang, 150080, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the process of fracture healing, there are many cellular and molecular events that are regulated by mechanical stimuli and biochemical signals. To explore the unknown mechanisms underlying bone fracture healing, optimal fixation configurations, and the design of new treatment strategies, computational healing models provide a good solution. With the simulation of mechanoregulatory healing models, bioregulatory healing models and coupled mechanobioregulatory healing models, healing outcomes can be predicted. In this review, first, we provide an overview of current computational healing models. Their clinical applications are also presented. Then, the limitations of current models and their corresponding solutions are discussed in this review. Finally, future potentials are presented in this review. Multiscale modeling from the intracellular level to the tissue level is essential, and more clinical applications of computational healing models are required in future research.

Indexed as

AnimalsComputer SimulationFracture HealingFractures, BoneHumansModels, BiologicalStress, MechanicalBiochemical signalsComputational biologyFracture healingMechanical stimuli

Identifiers

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.