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Treatment options for digital nerve injury: a systematic review and meta-analysis

BACKGROUND: Surgical treatment of finger nerve injury is common for hand trauma. However, there are various surgical options with different functional outcomes. The aims of this study are to compare the outcomes of various finger nerve surgeries and to identify factors associated with the postsurgic...

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Autores principales: Zhang, Yi, Hou, Nianzong, Zhang, Jian, Xie, Bing, Liang, Jiahui, Chang, Xiaohu, Wang, Kai, Tang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496177/
https://www.ncbi.nlm.nih.gov/pubmed/37700356
http://dx.doi.org/10.1186/s13018-023-04076-x
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author Zhang, Yi
Hou, Nianzong
Zhang, Jian
Xie, Bing
Liang, Jiahui
Chang, Xiaohu
Wang, Kai
Tang, Xin
author_facet Zhang, Yi
Hou, Nianzong
Zhang, Jian
Xie, Bing
Liang, Jiahui
Chang, Xiaohu
Wang, Kai
Tang, Xin
author_sort Zhang, Yi
collection PubMed
description BACKGROUND: Surgical treatment of finger nerve injury is common for hand trauma. However, there are various surgical options with different functional outcomes. The aims of this study are to compare the outcomes of various finger nerve surgeries and to identify factors associated with the postsurgical outcomes via a systematic review and meta-analysis. METHODS: The literature related to digital nerve repairs were retrieved comprehensively by searching the online databases of PubMed from January 1, 1965, to August 31, 2021. Data extraction, assessment of bias risk and the quality evaluation were then performed. Meta-analysis was performed using the postoperative static 2-point discrimination (S2PD) value, moving 2-point discrimination (M2PD) value, and Semmes–Weinstein monofilament testing (SWMF) good rate, modified Highet classification of nerve recovery good rate. Statistical analysis was performed using the R (V.3.6.3) software. The random effects model was used for the analysis. A systematic review was also performed on the other influencing factors especially the type of injury and postoperative complications of digital nerve repair. RESULTS: Sixty-six studies with 2446 cases were included in this study. The polyglycolic acid conduit group has the best S2PD value (6.71 mm), while the neurorrhaphy group has the best M2PD value (4.91 mm). End-to-side coaptation has the highest modified Highet’s scoring (98%), and autologous nerve graft has the highest SWMF (91%). Age, the size of the gap, and the type of injury were factors that may affect recovery. The type of injury has an impact on the postoperative outcome of neurorrhaphy. Complications reported in the studies were mainly neuroma, cold sensitivity, paresthesia, postoperative infection, and pain. CONCLUSION: Our study demonstrated that the results of surgical treatment of digital nerve injury are generally satisfactory; however, no nerve repair method has absolute advantages. When choosing a surgical approach to repair finger nerve injury, we must comprehensively consider various factors, especially the gap size of the nerve defect, and postoperative complications. Type of study/level of evidence Therapeutic IV.
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spelling pubmed-104961772023-09-13 Treatment options for digital nerve injury: a systematic review and meta-analysis Zhang, Yi Hou, Nianzong Zhang, Jian Xie, Bing Liang, Jiahui Chang, Xiaohu Wang, Kai Tang, Xin J Orthop Surg Res Systematic Review BACKGROUND: Surgical treatment of finger nerve injury is common for hand trauma. However, there are various surgical options with different functional outcomes. The aims of this study are to compare the outcomes of various finger nerve surgeries and to identify factors associated with the postsurgical outcomes via a systematic review and meta-analysis. METHODS: The literature related to digital nerve repairs were retrieved comprehensively by searching the online databases of PubMed from January 1, 1965, to August 31, 2021. Data extraction, assessment of bias risk and the quality evaluation were then performed. Meta-analysis was performed using the postoperative static 2-point discrimination (S2PD) value, moving 2-point discrimination (M2PD) value, and Semmes–Weinstein monofilament testing (SWMF) good rate, modified Highet classification of nerve recovery good rate. Statistical analysis was performed using the R (V.3.6.3) software. The random effects model was used for the analysis. A systematic review was also performed on the other influencing factors especially the type of injury and postoperative complications of digital nerve repair. RESULTS: Sixty-six studies with 2446 cases were included in this study. The polyglycolic acid conduit group has the best S2PD value (6.71 mm), while the neurorrhaphy group has the best M2PD value (4.91 mm). End-to-side coaptation has the highest modified Highet’s scoring (98%), and autologous nerve graft has the highest SWMF (91%). Age, the size of the gap, and the type of injury were factors that may affect recovery. The type of injury has an impact on the postoperative outcome of neurorrhaphy. Complications reported in the studies were mainly neuroma, cold sensitivity, paresthesia, postoperative infection, and pain. CONCLUSION: Our study demonstrated that the results of surgical treatment of digital nerve injury are generally satisfactory; however, no nerve repair method has absolute advantages. When choosing a surgical approach to repair finger nerve injury, we must comprehensively consider various factors, especially the gap size of the nerve defect, and postoperative complications. Type of study/level of evidence Therapeutic IV. BioMed Central 2023-09-12 /pmc/articles/PMC10496177/ /pubmed/37700356 http://dx.doi.org/10.1186/s13018-023-04076-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Systematic Review
Zhang, Yi
Hou, Nianzong
Zhang, Jian
Xie, Bing
Liang, Jiahui
Chang, Xiaohu
Wang, Kai
Tang, Xin
Treatment options for digital nerve injury: a systematic review and meta-analysis
title Treatment options for digital nerve injury: a systematic review and meta-analysis
title_full Treatment options for digital nerve injury: a systematic review and meta-analysis
title_fullStr Treatment options for digital nerve injury: a systematic review and meta-analysis
title_full_unstemmed Treatment options for digital nerve injury: a systematic review and meta-analysis
title_short Treatment options for digital nerve injury: a systematic review and meta-analysis
title_sort treatment options for digital nerve injury: a systematic review and meta-analysis
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496177/
https://www.ncbi.nlm.nih.gov/pubmed/37700356
http://dx.doi.org/10.1186/s13018-023-04076-x
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