Evidence map›Paper›PMID 39360139›Full record

Review3D printing and additive manufacturing2024

Review on Engineering of Bone Scaffolds Using Conventional and Additive Manufacturing Technologies.

Abdullah Mohammed, Amaia Jiménez, Prveen Bidare, Amr Elshaer, Adnan Memic, Hany Hassanin, Khamis Essa

Abstract readReview
In one paragraph

Review in 3D printing and additive manufacturing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
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

7 authors.

Abdullah MohammedSchool of Engineering, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0000-0002-5264-8824
Amaia JiménezTECNUN Escuela de Ingeniería, Universidad de Navarra, Manuel de Lardizábal San Sebastián, Spain.
Prveen BidareSchool of Engineering, University of Birmingham, Birmingham, United Kingdom.
Amr ElshaerDrug Discovery, Delivery and Patient Care (DDDPC), School of Life Sciences, Pharmacy and Chemistry, Kingston University London, Kingston Upon Thames, Surrey, United Kingdom.
Adnan MemicResearch Center of Nanotechnology, King Abdulaziz University, Jeddah, Saudi Arabia.
Hany HassaninSchool of Engineering, Technology, and Design, Canterbury Christ Church University, Canterbury, United Kingdom.
Khamis EssaSchool of Engineering, University of Birmingham, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone is a complex connective tissue that serves as mechanical and structural support for the human body. Bones' fractures are common, and the healing process is physiologically complex and involves both mechanical and biological aspects. Tissue engineering of bone scaffolds holds great promise for the future treatment of bone injuries. However, conventional technologies to prepare bone scaffolds cannot provide the required properties of human bones. Over the past decade, three-dimensional (3D) printing or additive manufacturing technologies have enabled control over the creation of bone scaffolds with personalized geometries, appropriate materials, and tailored pores. This article aims to review recent advances in the fabrication of bone scaffolds for bone repair and regeneration. A detailed review of bone fracture repair and an in-depth discussion on conventional manufacturing and 3D printing techniques are introduced with an emphasis on novel studies concepts, potentials, and limitations.

Indexed as

3D printingadditive manufacturingbone scaffoldsconventional manufacturing

Identifiers

PMID39360139
PMCPMC11443118

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.