Evidence map›Paper›PMID 37402971›Full record

ReviewOdontology2023

Research progress on antibacterial activity of medical titanium alloy implant materials.

Yi Liang, Yuying Song, Li Wang, Chao Wei, Xuan Zhou, Yihua Feng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Odontology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Yi LiangSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China.
Yuying SongSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China.
Li WangSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China.
Chao WeiSchool of Intelligent Manufacturing, Shandong University of Engineering and Vocational Technology, Jinan, 250200, China.
Xuan ZhouSchool of Intelligent Manufacturing, Shandong University of Engineering and Vocational Technology, Jinan, 250200, China.
Yihua FengSchool of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China. fyh@qlu.edu.cn.ORCID http://orcid.org/0000-0002-4661-4214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Titanium and its alloys are the preferred materials for medical implants. However, easy infection is a fatal shortcoming of Ti implants. Fortunately, the ongoing development of antibacterial implant materials is a promising solution, and Ti alloys with antibacterial properties hold immense potential for medical applications. In this review, we briefly outline the mechanisms of bacterial colonization and biofilm formation on implants; discuss and classify the major antimicrobials currently in use and development, including inorganic and organic antimicrobials; and describe the important role of antimicrobials in the development of implant materials for clinical applications. Strategies and challenges related to improving the antimicrobial properties of implant materials as well as the prospects of antibacterial Ti alloys in the medical field are also discussed.

Indexed as

Dental ImplantsTitaniumAlloysAnti-Bacterial AgentsDental MaterialsMaterials TestingStaphylococcus aureusSurface PropertiesAlloysAnti-Bacterial AgentsDental ImplantsDental MaterialsTitaniumAntibacterial agentAntibacterial propertyBacterial adhesionImplantMedical titanium alloy

Identifiers

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.