ArticleTissue engineering. Part A2019
Article in Tissue engineering. Part A, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 26 citations in OpenAlex.
- Freeze-Dried Porous Collagen Scaffolds for the Repair of Volumetric Muscle Loss Injuries.ACS biomaterials science & engineering · 2025Article
- Freeze-dried porous collagen scaffolds for the repair of volumetric muscle loss injuries.bioRxiv : the preprint server for biology · 2024Article
- 3D Bioprinted Patient-Specific Extracellular Matrix Scaffolds for Soft Tissue Defects.Advanced healthcare materials · 2022Article
- Photoreactive Hydrogel Stiffness Influences Volumetric Muscle Loss Repair.Tissue engineering. Part A · 2022Article
- Assembled Cell-Decorated Collagen (AC-DC) Fiber Bioprinted Implants with Musculoskeletal Tissue Properties Promote Functional Recovery in Volumetric Muscle Loss.Advanced healthcare materials · 2022Article
- Agent-based model provides insight into the mechanisms behind failed regeneration following volumetric muscle loss injury.PLoS computational biology · 2021Article
- Skeletal Muscle Tissue Engineering: Biomaterials-Based Strategies for the Treatment of Volumetric Muscle Loss.Bioengineering (Basel, Switzerland) · 2020Review
- Recent Trends in Injury Models to Study Skeletal Muscle Regeneration and Repair.Bioengineering (Basel, Switzerland) · 2020Review
- Pre-innervated tissue-engineered muscle promotes a pro-regenerative microenvironment following volumetric muscle loss.Communications biology · 2020Article
- Long-Term Evaluation of Functional Outcomes Following Rat Volumetric Muscle Loss Injury and Repair.Tissue engineering. Part A · 2020Article
- Vascularized and Innervated Skeletal Muscle Tissue Engineering.Advanced healthcare materials · 2020Review
- Article
- Analysis and Modeling of Rat Gait Biomechanical Deficits in Response to Volumetric Muscle Loss Injury.Frontiers in bioengineering and biotechnology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
impact statementDespite medical advances, volumetric muscle loss (VML) injuries to craniofacial muscles represent an unmet clinical need. We report an implantable tissue-engineered construct that leads to substantial tissue regeneration and functional recovery in a preclinical model of VML injury that is dimensionally relevant to unilateral cleft lip repair, and a series of corresponding computational models that provide biomechanical insight into mechanism(s) responsible for the VML-induced functional deficits and recovery following tissue-engineered muscle repair implantation. This unique combined approach represents a critical first step toward establishing a crucial biomechanical basis for the development of efficacious regenerative technologies, considering the spectrum of VML injuries.
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What OpenQuestion holds
Registered trials
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.