Evidence map›Paper›PMID 32155859›Full record

ArticleMaterials (Basel, Switzerland)2020

Design and Optimization Lattice Endoprosthesis for Long Bones: Manufacturing and Clinical Experiment.

Pavel Bolshakov, Ivan Raginov, Vladislav Egorov, Regina Kashapova, Ramil Kashapov, Tatyana Baltina, Oskar Sachenkov

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. 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. 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

7 authors.

Pavel BolshakovInstitute of Mathematics and Mechanics, Kazan Federal University, 420008 Kazan, Russia.
Ivan RaginovInstitute of Engineering, Kazan Federal University, 420008 Kazan, Russia.
Vladislav EgorovFederal Center for Toxicological, Radiation and Biological Safety, 420075 Kazan, Russia.
Regina KashapovaInstitute of Engineering, Kazan Federal University, 420008 Kazan, Russia.
Ramil KashapovInstitute of Engineering, Kazan Federal University, 420008 Kazan, Russia.
Tatyana BaltinaInstitute of Mathematics and Mechanics, Kazan Federal University, 420008 Kazan, Russia.
Oskar SachenkovInstitute of Mathematics and Mechanics, Kazan Federal University, 420008 Kazan, Russia.

Funding

subsidy allocated to Kazan Federal University for the state assignment in the sphere of scientific activities 13556.2019/13.1Российский Фонд Фундаментальных Исследований (РФФИ) 18-48-160041 r_a
6 · The paper itself

Abstract

The article is devoted to the construction of lattice endoprosthesis for a long bone. Clinically, the main idea is to design a construction with the ability to improve bone growth. The article presents the algorithm for such a design. The construction should be produced by additive manufacturing. Such an approach allows using not only metallic materials but also ceramics and polymers. The algorithm is based on the influence function as a method to describe the elementary cell geometry. The elementary cell can be described by a number of parameters. The influence function maps the parameters to local stress in construction. Changing the parameters influences the stress distribution in the endoprosthesis. In the paper, a bipyramid was used as an elementary cell. Numerical studies were performed using the finite element method. As a result, manufacturing construction is described. Some problems for different orientations of growth are given. The clinical test was done and histological results were presented.

Indexed as

additive manufacturinglattice endoprosthesislong bone

Identifiers

PMID32155859
PMCPMC7085070

What OpenQuestion holds

Textmetadata
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.