Evidence map›Paper›PMID 37525692›Full record

SynthesisInternational journal of nanomedicine2023

Nanoscale Morphologies on the Surface of 3D-Printed Titanium Implants for Improved Osseointegration: A Systematic Review of the Literature.

Shiyan Yang, Weibo Jiang, Xiao Ma, Zuobin Wang, Robert L Sah, Jincheng Wang, Yang Sun

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of nanomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Alkaline Ozonation-Induced TiOJournal of functional biomaterials · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. RNA Coating Promotes Peri-Implant Osseointegration.ACS biomaterials science & engineering · 2024
    Article
  10. Article
  11. Article
  12. 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.

Shiyan Yang *Orthopedic Medical Center, the Second Hospital of Jilin University, Changchun, Jilin, 130000, People's Republic of China.ORCID 0000-0003-3017-3167
Weibo Jiang *Orthopedic Medical Center, the Second Hospital of Jilin University, Changchun, Jilin, 130000, People's Republic of China.ORCID 0000-0002-7241-9578
Xiao Ma *Department of Orthopedics, the China-Japan Union Hospital of Jilin University, Changchun, Jilin, 130000, People's Republic of China.ORCID 0000-0001-9502-3771
Zuobin WangInternational Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun, Jilin, 130000, People's Republic of China.ORCID 0000-0002-7168-0918
Robert L SahDepartment of Bioengineering, University of California-San Diego, La Jolla, CA, 92037, USA.ORCID 0000-0002-5493-9502
Jincheng WangOrthopedic Medical Center, the Second Hospital of Jilin University, Changchun, Jilin, 130000, People's Republic of China.ORCID 0000-0002-1217-5962
Yang SunOrthopedic Medical Center, the Second Hospital of Jilin University, Changchun, Jilin, 130000, People's Republic of China.ORCID 0000-0003-1479-5222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) printing is serving as the most promising approach to fabricate personalized titanium (Ti) implants for the precise treatment of complex bone defects. However, the bio-inert nature of Ti material limits its capability for rapid osseointegration and thus influences the implant lifetime in vivo. Despite the macroscale porosity for promoting osseointegration, 3D-printed Ti implant surface morphologies at the nanoscale have gained considerable attention for their potential to improve specific outcomes. To evaluate the influence of nanoscale surface morphologies on osseointegration outcomes of 3D-printed Ti implants and discuss the available strategies, we systematically searched evidence according to the PRISMA on PubMed, Embase, Web of Science, and Cochrane (until June 2022). The inclusion criteria were in vivo (animal) studies reporting the osseointegration outcomes of nanoscale morphologies on the surface of 3D-printed Ti implants. The risk of bias (RoB) was assessed using the Systematic Review Centre for Laboratory Animal Experimentation (SYRCLE's) tool. The quality of the studies was evaluated using the Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines. (PROSPERO: CRD42022334222). Out of 119 retrieved articles, 9 studies met the inclusion criteria. The evidence suggests that irregular nano-texture, nanodots and nanotubes with a diameter of 40-105nm on the surface of porous/solid 3D-printed Ti implants result in better osseointegration and vertical bone ingrowth compared to the untreated/polished ones by significantly promoting cell adhesion, matrix mineralization, and osteogenic differentiation through increasing integrin expression. The RoB was low in 41.1% of items, unclear in 53.3%, and high in 5.6%. The quality of the studies achieved a mean score of 17.67. Our study demonstrates that nanostructures with specific controlled properties on the surface of 3D-printed Ti implants improve their osseointegration. However, given the small number of studies, the variability in experimental designs, and lack of reporting across studies, the results should be interpreted with caution.

Indexed as

OsseointegrationOsteogenesisAnimalsPorosityPrinting, Three-DimensionalProstheses and ImplantsSurface PropertiesTitaniumTitanium3D-printednano-patternosseointegrationsurface modificationtitanium implant

Identifiers

PMID37525692
PMCPMC10387278

What OpenQuestion holds

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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.