Evidence map›Paper›PMID 36923849›Full record

ArticleHeliyon2023

The optimal size of screw for using cement-screw technique to repair tibial defect in total knee arthroplasty: A finite element analysis.

Jianbing Ma, Chao Xu, Guanghui Zhao, Lin Xiao, Jianpeng Wang

Erratum issuedAbstract read
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Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jianbing MaDepartment of Joint Surgery, Honghui Hospital, Xi'An Jiaotong University, No. 555 East Youyi Road, Xi'an, Shanxi, China.
Chao XuDepartment of Joint Surgery, Honghui Hospital, Xi'An Jiaotong University, No. 555 East Youyi Road, Xi'an, Shanxi, China.
Guanghui ZhaoDepartment of Joint Surgery, Honghui Hospital, Xi'An Jiaotong University, No. 555 East Youyi Road, Xi'an, Shanxi, China.
Lin XiaoDepartment of Joint Surgery, Honghui Hospital, Xi'An Jiaotong University, No. 555 East Youyi Road, Xi'an, Shanxi, China.
Jianpeng WangDepartment of Joint Surgery, Honghui Hospital, Xi'An Jiaotong University, No. 555 East Youyi Road, Xi'an, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cement can be reinforced with cancellous screws for repairing tibial defect in total knee arthroplasty (TKA). However, it is still unknown which size (diameter, length) of screws is better, and the purpose of this study was to perform a finite element analysis (FEA) to determine it. Twelve FEA models were set to represent the cement-screw technique with different diameters (3.5 mm, 5 mm and 6.5 mm) and lengths (20 mm, 25 mm, 30 mm and 35 mm). Contact stresses on the surface of cancellous bone in different areas were calculated. Compared to screws with diameter of 3.5 mm, stresses on the surface of bone defect reduced 5.75% of 5 mm and 10.68% of 6.5 mm for the screw length of 20 mm, 4.23% of 5 mm and 9.16% of 6.5 mm for 25 mm, 6.65% of 5 mm and 12.30% of 6.5 mm for 30 mm, and 5.05% of 5 mm and 12.16% of 6.5 mm for 35 mm. Compared to screws with diameter of 5 mm, stresses on the surface of defect reduced 5.24%, 5.15%, 6.05%, and 7.49% of 6.5 mm for the screw length of 20, 25, 30, and 35 mm. However, it did not show any significant difference in other comparisons. For the treatment of tibial defect in TKA with cement-screw technique, longer screw may not achieve better stability, but the thicker screw can reduce more stresses on the surface of tibial defect and achieve better stability. However, the depth of bone defect must be considered when making a choice.

Indexed as

Cement-screw techniqueFinite element analysisTibial defectTotal knee arthroplasty

Identifiers

PMID36923849
PMCPMC10009531

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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.