Evidence map›Paper›PMID 37233387›Full record

ArticleJournal of functional biomaterials2023

Combined Porous-Monolithic TiNi Materials Surface-Modified with Electron Beam for New-Generation Rib Endoprostheses.

Anastasiia V Shabalina, Sergey G Anikeev, Sergei A Kulinich, Nadezhda V Artyukhova, Vitaly A Vlasov, Maria I Kaftaranova, Valentina N Hodorenko, Evgeny V Yakovlev, Evgeny A Pesterev, Anna V Lukyanenko and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of functional biomaterials, 2023. 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
0.7field-weighted citation impact, top 39% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. 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

16 authors at 6 institutions in 2 countries.

Anastasiia V ShabalinaLaboratory of Medical Materials Science, Tomsk State University, 634050 Tomsk, Russia.
Sergey G AnikeevLaboratory of Medical Materials Science, Tomsk State University, 634050 Tomsk, Russia.ORCID 0000-0001-9323-5973
Sergei A KulinichResearch Institute of Science and Technology, Tokai University, Hiratsuka 259-1292, Kanagawa, Japan.ORCID 0000-0002-1365-9221
Nadezhda V ArtyukhovaLaboratory of Medical Materials Science, Tomsk State University, 634050 Tomsk, Russia.
Vitaly A VlasovResearch School of High-Energy Physics, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia.ORCID 0000-0002-5946-2117
Maria I KaftaranovaLaboratory of Medical Materials Science, Tomsk State University, 634050 Tomsk, Russia.
Valentina N HodorenkoLaboratory of Medical Materials Science, Tomsk State University, 634050 Tomsk, Russia.
Evgeny V YakovlevTomsk Scientific Center, Siberian Branch of Russian Academy of Sciences, 634055 Tomsk, Russia.ORCID 0000-0002-8069-2021
Evgeny A PesterevTomsk Scientific Center, Siberian Branch of Russian Academy of Sciences, 634055 Tomsk, Russia.
Anna V LukyanenkoKirensky Institute of Physics, Federal Research Center, KSC Siberian Branch Russian Academy of Science, 660036 Krasnoyarsk, Russia.ORCID 0000-0001-7496-242X
Mikhail N VolochaevKirensky Institute of Physics, Federal Research Center, KSC Siberian Branch Russian Academy of Science, 660036 Krasnoyarsk, Russia.
Sofiya PakholkinaLaboratory of Medical Materials Science, Tomsk State University, 634050 Tomsk, Russia.
Oibek MamazakirovLaboratory of Medical Materials Science, Tomsk State University, 634050 Tomsk, Russia.ORCID 0000-0002-7457-0714
Victor V StolyarovDepartment of Morphology and Physiology of the Medical Institute, Surgut State University, 628403 Surgut, Russia.
Anatolii V MokshinInstitute of Physics, Kazan Federal University, 420008 Kazan, Russia.ORCID 0000-0003-2919-864X
Victor E GuntherLaboratory of Medical Materials Science, Tomsk State University, 634050 Tomsk, Russia.
National Research Tomsk State University · RUKrasnoyarsk Scientific Center · RURussian Academy of Sciences · RUKazan Federal University · RUSurgut State University · RUTokai University · JP

Funding

Russian Science Foundation 19-79-10045
6 · The paper itself

Abstract

TiNi alloys are very widely used materials in implant fabrication. When applied in rib replacement, they are required to be manufactured as combined porous-monolithic structures, ideally with a thin, porous part well-adhered to its monolithic substrate. Additionally, good biocompatibility, high corrosion resistance and mechanical durability are also highly demanded. So far, all these parameters have not been achieved in one material, which is why an active search in the field is still underway. In the present study, we prepared new porous-monolithic TiNi materials by sintering a TiNi powder (0-100 µm) on monolithic TiNi plates, followed by surface modification with a high-current pulsed electron beam. The obtained materials were evaluated by a set of surface and phase analysis methods, after which their corrosion resistance and biocompatibility (hemolysis, cytotoxicity, and cell viability) were evaluated. Finally, cell growth tests were conducted. In comparison with flat TiNi monoliths, the newly developed materials were found to have better corrosion resistance, also demonstrating good biocompatibility and potential for cell growth on their surface. Thus, the newly developed porous-on-monolith TiNi materials with different surface porosity and morphology showed promise as potential new-generation implants for use in rib endoprostheses.

Indexed as

biocompatibilityelectrochemical corrosionhigh-current pulsed electron beamporous coatingpowder metallurgyrib endoprosthesesstructuresurface modificationTiNi

Identifiers

PMID37233387
PMCPMC10219054
OpenAlexW4376956436

What OpenQuestion holds

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LicenceCC BY
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.