Evidence map›Paper›PMID 38706035›Full record

ArticleOrthopaedic surgery2024

Preparation of Ag@3D-TiO

Tiansheng Liu, Guijun Yang, Tong Li, Qi Wang, Houjiang Liu, Fang He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Orthopaedic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Insights into 3D-printed TiORSC advances · 2026
    Review
  2. Article
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.

Tiansheng LiuDepartment of Orthopaedics, Tianjin Hospital, Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-4061-2330
Guijun YangSchool of Materials Science and Engineering and Tianjin Key Laboratory of Composite and Functional Materials, Tianjin University, Tianjin, China.
Tong LiDepartment of Training and Sports Medicine, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China.
Qi WangDepartment of Training and Sports Medicine, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China.
Houjiang LiuSchool of Materials Science and Engineering and Tianjin Key Laboratory of Composite and Functional Materials, Tianjin University, Tianjin, China.
Fang HeSchool of Materials Science and Engineering and Tianjin Key Laboratory of Composite and Functional Materials, Tianjin University, Tianjin, China.

Funding

Tianjin Science and Technology Program Key Projects 20JCZDJC00570Tianjin Science and Technology Program Key Projects 22JCZDJC00340
6 · The paper itself

Abstract

objectivesThe micro-nano structure of 3D-printed porous titanium (Ti) alloy with excellent performance in avoiding stress shielding and promoting bone tissue differentiation provides a new opportunity for the development of bone implants, but it necessitates higher requirements for bone tissue differentiation and the antibacterial properties of bone implants in clinical practice.

methodsThis study investigated the preparation, antimicrobial properties, and osteogenesis-promoting ability of the 3D printed porous Ti alloy anodic oxidized Ag-carrying (Ag@3D-TiO

resultsThe Ag@3D-TiO

conclusionThe goal of this study was to create a scaffold that exhibits antimicrobial properties and can aid bone growth, making it highly suitable for use in bone tissue engineering.

Indexed as

OsteogenesisPrinting, Three-DimensionalSilverTissue ScaffoldsTitaniumAnimalsAnti-Bacterial AgentsCell DifferentiationCell ProliferationMicePorosityAnti-Bacterial AgentsSilverTitaniumtitanium dioxideAntimicrobial propertiesBiocompatibleOsteogenesis‐promoting abilitySilver

Identifiers

PMID38706035
PMCPMC11144495

What OpenQuestion holds

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LicenceCC BY
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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.