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Bibliometric analysis is a unique tool that can be used to study the characteristics and trends of a given topic. This study aimed to report on the most influential studies concerning revision shoulder arthroplasty research.On July 4th, 2022, the Institute of Scientific Information (ISI) Web of Knowledge Database was used to identify articles concerning revision shoulder arthroplasty research. The top 50 most cited articles were selected and analyzed.The mean number of citations was 142 (median: 97; range 599-70). Most articles were published in the 2010s (56%), followed by the 2000s (38%), and 1990s (6%). The most common level of evidence (LOE) was LOE II (42%) followed by LOE IV (38%), LOE I and III each had 10%. The greatest number of papers were published in theThis review can serve as a useful tool to study the most influential articles concerning revision shoulder arthroplasty research. Most of the articles were classified as clinical outcomes (62%), followed by natural history/epidemiology (12%), and surgical technique (10%). Our findings suggest that high-quality studies (LOE I) are lacking and other areas of research besides clinical outcomes are not as well studied. |
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