Evidence map›Paper›PMID 41809098›Full record

ReviewBioactive materials2026

Biomedical titanium-tantalum alloys for orthopedic implant applications: From manufacturing to biological performance.

S D Luo, S Paisansuthichol, N Tran, M Qian, T Song

Abstract readReview
In one paragraph

Review in Bioactive materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

S D LuoCentre for Additive Manufacturing, School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia.
S PaisansuthicholCentre for Additive Manufacturing, School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia.
N TranSchool of Science, RMIT University, Melbourne, VIC 3000, Australia.
M QianCentre for Additive Manufacturing, School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia.
T SongCentre for Additive Manufacturing, School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An ideal biomedical material for orthopedic implant applications is characterized by being biologically compatible with the human body, mechanically matching human cortical or cancellous bones, and releasing no cytotoxic ions over its servicing time. Titanium-tantalum (Ti-Ta) binary alloy is such a potential biomaterial that is composed of the most biocompatible metal elements, and both metals have been heavily used as implant materials in clinical surgeries for decades. Additive manufacturing (AM) enables the innovative design of patient-specific medical implants, e.g., Ti-Ta lattices which display unique mechanical and biological properties. Such Ti-Ta lattice implants can best mimic the mechanical properties of natural bones and offer open pores and pore networks to promote implant-bone biological interactions, which are essential to successful and long-term implantation. This article extensively reviews the biomedical Ti-Ta alloys. It starts with a brief overview of Ti-Ta alloy development, then elaborates on its manufacturing, the resulting microstructures pertinent to cooling conditions, mechanical properties, and surface modification to improve the bioactivity. Ti-Ta lattices from AM process are particularly highlighted as they enable elastic moduli close to those of natural bones. Next, the corrosion resistance and wettability of Ti-Ta alloys are addressed. Last, the biological responses of Ti-Ta alloy

Indexed as

Additive manufacturingBiological responseBiomaterialLattice structureTi-Ta alloy

Identifiers

PMID41809098
PMCPMC12969444

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Registered trials

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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.