Evidence map›Paper›PMID 28439516›Full record

ArticleFrontiers in bioengineering and biotechnology2017

Engineering Muscle Networks in 3D Gelatin Methacryloyl Hydrogels: Influence of Mechanical Stiffness and Geometrical Confinement.

Marco Costantini, Stefano Testa, Ersilia Fornetti, Andrea Barbetta, Marcella Trombetta, Stefano Maria Cannata, Cesare Gargioli, Alberto Rainer

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Gelatin Methacrylate Macroporous Cell Scaffold Fabrication via One-Pot Aqueous Two-Phase Separation.Journal of biomedical materials research. Part B, Applied biomaterials · 2025
    Article
  8. Review
  9. Article
  10. Use of Hydrogels in Regenerative Medicine: Focus on Mechanical Properties.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Myoblast 3D bioprinting to burst in vitro skeletal muscle differentiation.Journal of tissue engineering and regenerative medicine · 2022
    Article
  18. Review
  19. Scaffolding Biomaterials for 3D Cultivated Meat: Prospects and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  20. Article
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.

Marco CostantiniDepartment of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Stefano TestaDepartment of Biology, Tor Vergata Rome University, Rome, Italy.
Ersilia FornettiDepartment of Biology, Tor Vergata Rome University, Rome, Italy.
Andrea BarbettaDepartment of Chemistry, Sapienza University of Rome, Rome, Italy.
Marcella TrombettaDepartment of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Stefano Maria CannataDepartment of Biology, Tor Vergata Rome University, Rome, Italy.
Cesare GargioliDepartment of Biology, Tor Vergata Rome University, Rome, Italy.
Alberto RainerDepartment of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, the influence of mechanical stiffness and geometrical confinement on the 3D culture of myoblast-laden gelatin methacryloyl (GelMA) photo-crosslinkable hydrogels was evaluated in terms of

Indexed as

C2C12 differentiationgelatin methacryloylgeometrical confinementhydrogel stiffnessskeletal muscle

Identifiers

PMID28439516
PMCPMC5383707

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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.