Evidence map›Paper›PMID 30596158›Full record

ReviewBioactive materials2019

Additive manufacturing technology for porous metal implant applications and triple minimal surface structures: A review.

Li Yuan, Songlin Ding, Cuie Wen

Erratum issuedAbstract readReview
In one paragraph

Review in Bioactive materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Article
  2. A review of 3D printed medical implant design.3D printing in medicine · 2026
    Article
  3. Article
  4. Brazilian dental journal · 2026
    Article
  5. Article
  6. In Vivo Study of Bone Growth Around Additively Manufactured Implants With Ti-6Al-4V and Bioactive Glass Powder Composites.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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  15. Article
  16. Review
  17. Review
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  19. Article
  20. Article

36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Li YuanSchool of Engineering, RMIT University, Bundoora, Victoria, 3083, Australia.
Songlin DingSchool of Engineering, RMIT University, Bundoora, Victoria, 3083, Australia.
Cuie WenSchool of Engineering, RMIT University, Bundoora, Victoria, 3083, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the fabrication methods of orthopedic implants and devices have been greatly developed. Additive manufacturing technology allows the production of complex structures with bio-mimicry features, and has the potential to overcome the limitations of conventional fabrication methods. This review explores open-cellular structural design for porous metal implant applications, in relation to the mechanical properties, biocompatibility, and biodegradability. Several types of additive manufacturing techniques including selective laser sintering, selective laser melting, and electron beam melting, are discussed for different applications. Additive manufacturing through powder bed fusion shows great potential for the fabrication of high-quality porous metal implants. However, the powder bed fusion technique still faces two major challenges: it is high cost and time-consuming. In addition, triply periodic minimal surface (TPMS) structures are also analyzed in this paper, targeting the design of metal implants with an enhanced biomorphic environment.

Indexed as

Additive manufacturingPorosityPowder bed fusionTPMS structures

Identifiers

PMID30596158
PMCPMC6305839

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.