Evidence map›Paper›PMID 42237369›Full record

SynthesisAdvanced healthcare materials2026

Standardized Effect Measures Informing Next-Generation Strategies for Mechanical Stimulation in Cartilage Tissue Engineering.

Jiaqi K Shen, Tony B Huang, Catherine E Davey, Elias Salzer, Gerjo J V M Van Osch, Sandra J Shefelbine, Marcus G Pandy, Kathryn S Stok

Abstract readSystematic Review
In one paragraph

Synthesis in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiaqi K ShenDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia.
Tony B HuangDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia.
Catherine E DaveyDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia.
Elias SalzerDepartment of Orthopaedics and Sports Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Gerjo J V M Van OschDepartment of Orthopaedics and Sports Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Sandra J ShefelbineDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts, USA.
Marcus G PandyDepartment of Mechanical Engineering, The University of Melbourne, Parkville, Victoria, Australia.
Kathryn S StokDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia.

Funding

Australian Research Council Discovery Project funding scheme DP240102160Dutch Research Council (NWO)LoaD NWA-ORC research programme NWA1389.20.009
6 · The paper itself

Abstract

Dynamic mechanical stimulation provides cues essential to mechanoadaptation, influencing extracellular matrix composition and functional properties. Cartilage tissue engineering implements a wide spectrum of stimulation modalities and loading parameters, yet the absence of standardization hinders direct comparison and limits investigation of optimal mechanical stimulation protocols. This systematic review summarizes published parameters of mechanical stimulation and applies standardized effect measures to compare their efficacy on matrix production in tissue-engineered cartilage. A total of 95 in vitro studies were included, covering six stimulation modalities (compression, tension, shear, hydrostatic pressure, fluid-induced shear, and combined stimuli) and chondrogenic outcomes (aggrecan and collagen II gene expression, glycosaminoglycan and collagen deposition, and compressive equilibrium modulus). The combined application of compression and shear was most effective, suggesting that complex loading patterns are potentially more beneficial for optimal cartilage mechanoadaptation. Loading dynamics and magnitude correlated with chondrogenic outcomes in meta-regression analysis, particularly for fluid-induced shear, which exhibited decreasing effects at higher intensities. Standardized effect measures enabled cross-study comparison despite wide methodological variability. A comprehensive in vitro comparison under rigorously controlled culture conditions, with precise understanding of sub-tissue mechanical stimuli, is essential for improving research reproducibility, optimizing mechanical microenvironments, and guiding bioreactor design for enhanced cartilage matrix development.

Indexed as

CartilageCartilage, ArticularTissue EngineeringAnimalsChondrocytesChondrogenesisExtracellular MatrixHumansStress, Mechanicalbioreactorcartilage mechanobiologycartilage tissue engineeringmechanical stimulationmechanoadaptation

Identifiers

PMID42237369
PMCPMC13356526

What OpenQuestion holds

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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.