Literature DB >> 28890408

Interventions for Treating 3- or 4-part proximal humeral fractures in elderly patient: A network meta-analysis of randomized controlled trials.

Shaolong Du1, Jiahao Ye1, Haolong Chen1, Xishan Li1, Qiang Lin2.   

Abstract

BACKGROUND: The fractures of proximal humerus have a high incidence in elderly patients, especially 3- or 4-part fracture. There are 4 main treatments including nonoperation, open reduction and internal fixation(ORIF), hemiarthroplasty(HA) and reverse shoulder arthroplasty(RSA). However, which one is the optimal choice remains a controversial topic.
METHODS: Through the search of three electronic databases (PubMed, Embase, and Cochrane), the randomized controlled trials of 3- or 4-part proximal humeral fracture, until the end of July 2017, which is concerned with the elderly patients, were identified. The quality evaluation of each study was evaluated, Constant score and reoperation rates were extracted and analyzed. We used R(R i386 3.3.2) and the package of gemtc to perform our network meta-analysis.
RESULTS: Seven randomized controlled experiments with a total number of 347 patients were brought into our network meta-analysis. The rank probability plot of Constant score showed that the RSA had significantly the highest Constant score and lower reoperation than other treatments. The other way around, the efficacy of ORIF was the poorest. The rank for the Constant score was: RSA, HA, nonoperation and ORIF. The rank for the reduction in total reoperation rates was: RSA, nonoperation, HA and ORIF.
CONCLUSIONS: The statistical result suggested that RSA has become a beneficial choice to treat displaced 3-or 4-part fracture in elderly patients, that might result in more favorable clinical outcomes and reduction of reoperation rates than other methods performed for the same indication. But the ORIF is the worst.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Elderly patient; HA; Network meta-analysis; Nonoperation; ORIF; Proximal humeral fractures; RSA

Mesh:

Year:  2017        PMID: 28890408     DOI: 10.1016/j.ijsu.2017.09.002

Source DB:  PubMed          Journal:  Int J Surg        ISSN: 1743-9159            Impact factor:   6.071


  14 in total

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Authors:  Luís Henrique Barros; Sérgio Figueiredo; Manuel Marques; Claudia Rodrigues; Joaquim Ramos; Rui Claro
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