SynthesisSensors (Basel, Switzerland)2021
3D Printing Techniques and Their Applications to Organ-on-a-Chip Platforms: A Systematic Review.
Synthesis in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled 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.
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
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advances in Concentration Gradient Generation Approaches in a Microfluidic Device for Toxicity Analysis.Cells · 2022Pooled it
- Translational Barriers and AI-Driven Challenges of Microfluidics-Enabled Wearables and Implantable Systems in Personalized Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Uncovering the Potential of 3D Spheroids for Modeling the Cellular Crosstalk Within the Tumor Microenvironment in HNSCC.Biotechnology journal · 2026Review
- Rapid hydrogel micropatterning utilizing CNT-induced thermoresponsive effect.Scientific reports · 2026Article
- Engineering biomimetic tissue barrier models on chips: From design and fabrication to applications in disease modeling and drug screening.Biomaterials · 2026Review
- Advances and applications of organ-on-a-chip technology.Cell reports methods · 2026Review
- Scale-Specific Viscoelastic Characterization of Hydrogels: Integrated AFM and Finite Element Modeling.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Applications of 3D Printing and Artificial Intelligence in Healthcare Management: A Narrative Review.Bioengineering (Basel, Switzerland) · 2026Review
- Organ-on-a-chip platforms for disease modeling and in vitro diagnostic applications.Frontiers in bioengineering and biotechnology · 2026Review
- Transducer Systems Integrated into Organ-on-a-Chip Devices: From Detection to Fabrication.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Advances and Applications of Organ-on-a-Chip and Tissue-on-a-Chip Technology.Bioengineering (Basel, Switzerland) · 2025Review
- 3D Printing for Tissue Engineering: Printing Techniques, Biomaterials, Challenges, and the Emerging Role of 4D Bioprinting.Bioengineering (Basel, Switzerland) · 2025Review
- Reconstructing the Antibiotic Pipeline: Natural Alternatives to Antibacterial Agents.Biomolecules · 2025Review
- State-of-the-Art Organ-on-Chip Models and Designs for Medical Applications: A Systematic Review.Biomimetics (Basel, Switzerland) · 2025Review
- Advances in Microfluidic Cochlea-On-A-Chip.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Microfluidic Systems to Mimic the Blood-Brain Barrier: from Market to Engineering Challenges and Perspectives.ACS biomaterials science & engineering · 2025Review
- On the Effects of 3D Printed Mold Material, Curing Temperature, and Duration on Polydimethylsiloxane (PDMS) Curing Characteristics for Lab-on-a-Chip Applications.Micromachines · 2025Article
- Emerging Trends in Microfluidic Biomaterials: From Functional Design to Applications.Journal of functional biomaterials · 2025Review
- From Soft Lithography to 3D Printing: Current Status and Future of Microfluidic Device Fabrication.Polymers · 2025Review
- Computational and experimental advances in liver-on-a-chip technology for cancer research: a systematic review.Biophysical reviews · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Three-dimensional (3D) in vitro models, such as organ-on-a-chip platforms, are an emerging and effective technology that allows the replication of the function of tissues and organs, bridging the gap amid the conventional models based on planar cell cultures or animals and the complex human system. Hence, they have been increasingly used for biomedical research, such as drug discovery and personalized healthcare. A promising strategy for their fabrication is 3D printing, a layer-by-layer fabrication process that allows the construction of complex 3D structures. In contrast, 3D bioprinting, an evolving biofabrication method, focuses on the accurate deposition of hydrogel bioinks loaded with cells to construct tissue-engineered structures. The purpose of the present work is to conduct a systematic review (SR) of the published literature, according to the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, providing a source of information on the evolution of organ-on-a-chip platforms obtained resorting to 3D printing and bioprinting techniques. In the literature search, PubMed, Scopus, and ScienceDirect databases were used, and two authors independently performed the search, study selection, and data extraction. The goal of this SR is to highlight the importance and advantages of using 3D printing techniques in obtaining organ-on-a-chip platforms, and also to identify potential gaps and future perspectives in this research field. Additionally, challenges in integrating sensors in organs-on-chip platforms are briefly investigated and discussed.
Indexed as
Identifiers
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.