Evidence map›Paper›PMID 35399618›Full record

ReviewBioinorganic chemistry and applications2022

A Systematic Review and Network Meta-Analysis of Biomedical Mg Alloy and Surface Coatings in Orthopedic Application.

XinYue Lu, HongXin Cai, Yu Ru Li, Xinru Zheng, Jiahao Yun, Wenhui Li, XiaoYu Geng, Jae-Sung Kwon, Heng Bo Jiang

Abstract readReview
In one paragraph

Review in Bioinorganic chemistry and applications, 2022. 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. 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

9 authors.

XinYue LuThe Conversationalist Club, School of Stomatology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, Shandong, China.ORCID https://orcid.org/0000-0002-1875-3575
HongXin CaiDepartment and Research Institute of Dental Biomaterials and Bioengineering, Yonsei University College of Dentistry, Seoul 03722, Republic of Korea.ORCID https://orcid.org/0000-0002-7281-229X
Yu Ru LiThe Conversationalist Club, School of Stomatology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, Shandong, China.ORCID https://orcid.org/0000-0001-5972-5944
Xinru ZhengThe Conversationalist Club, School of Stomatology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, Shandong, China.ORCID https://orcid.org/0000-0002-2213-4486
Jiahao YunThe Conversationalist Club, School of Stomatology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, Shandong, China.ORCID https://orcid.org/0000-0002-8117-0444
Wenhui LiThe Conversationalist Club, School of Stomatology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, Shandong, China.ORCID https://orcid.org/0000-0003-3676-0047
XiaoYu GengThe Conversationalist Club, School of Stomatology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, Shandong, China.ORCID https://orcid.org/0000-0001-5757-5874
Jae-Sung KwonDepartment and Research Institute of Dental Biomaterials and Bioengineering, Yonsei University College of Dentistry, Seoul 03722, Republic of Korea.ORCID https://orcid.org/0000-0001-9803-7730
Heng Bo JiangThe Conversationalist Club, School of Stomatology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, Shandong, China.ORCID https://orcid.org/0000-0002-2514-2633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnesium alloys have great application prospects as ideal bone implant materials. However, their poor corrosion resistance limits their clinical orthopedic application. Surface modification promotes the corrosion resistance of magnesium. Conversion coatings, such as calcium phosphate (Ca-P) coating, microarc oxidation (MAO) treatment, and fluoride (FLU) treatment, have been extensively investigated in in vivo studies. This systematic review and network meta-analysis compared the influence of different conversion coatings on bone repair, material properties, and systemic host response in orthopedic applications. Using the PICOS model, the inclusion criteria for biodegradable magnesium and its alloys were determined for in vivo studies. Four databases were used. The standard and weight mean differences with 95% confidence intervals were used to analyze new bone formation and degradation rate. Network structure and forest plots were created, and ranking probabilities were estimated. The risk of bias and quality of evidence were assessed using SYRCLE, CERQual, and GRADE tools. In the qualitative analysis, 43 studies were selected, and the evaluation of each outcome indicator was not entirely consistent from article to article. In the quantitative analysis, 21 articles were subjected to network meta-analysis, with 16 articles on implant degradation and 8 articles for new bone formation. Additionally, SUCRA indicated that Ca-P coating exhibited the highest corrosion resistance, followed by FLU treatment. MAO demonstrated the best capability for new bone formation, followed by Ca-P coating. Ca-P coating exhibited the highest overall performance. To conclude, coated Mg can promote better new bone formation than bare Mg and has considerable biocompatibility. Ca-P-coated Mg and MAO-coated Mg have the greatest potential to significantly promote corrosion resistance and bone regeneration, respectively. The findings of this study will provide a theoretical basis for the investigation of composite coatings and guidance for the orthopedic application of Mg bone implants.

Identifiers

PMID35399618
PMCPMC8991394

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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.