Evidence map›Paper›PMID 38475389›Full record

ReviewPolymers2024

A 3D-Printed Scaffold for Repairing Bone Defects.

Jianghui Dong, Hangxing Ding, Qin Wang, Liping Wang

Abstract readReview
In one paragraph

Review in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. 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

4 authors.

Jianghui DongGuangxi Engineering Research Center of Digital Medicine and Clinical Translation, School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China.
Hangxing DingGuangxi Engineering Research Center of Digital Medicine and Clinical Translation, School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China.
Qin WangGuangxi Engineering Research Center of Digital Medicine and Clinical Translation, School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China.
Liping WangGuangxi Engineering Research Center of Digital Medicine and Clinical Translation, School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China.ORCID 0000-0001-6372-5939

Funding

Guangxi Natural Science Foundation 2021AC19246Guilin Innovation Platform and Talents Program 2020010702Guilin Innovation Platform and Talents Program 2020010703National Natural Science Foundation of China 52265042
6 · The paper itself

Abstract

The treatment of bone defects has always posed challenges in the field of orthopedics. Scaffolds, as a vital component of bone tissue engineering, offer significant advantages in the research and treatment of clinical bone defects. This study aims to provide an overview of how 3D printing technology is applied in the production of bone repair scaffolds. Depending on the materials used, the 3D-printed scaffolds can be classified into two types: single-component scaffolds and composite scaffolds. We have conducted a comprehensive analysis of material composition, the characteristics of 3D printing, performance, advantages, disadvantages, and applications for each scaffold type. Furthermore, based on the current research status and progress, we offer suggestions for future research in this area. In conclusion, this review acts as a valuable reference for advancing the research in the field of bone repair scaffolds.

Indexed as

3D-printed scaffoldceramic materialgelatin composite scaffoldspolycaprolactone composite scaffolds

Identifiers

PMID38475389
PMCPMC10933854

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.