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Objectives: The purpose of this study was to identify the 50 most-cited publications relating to lacrosse since 1990 and conduct a bibliometric analysis of the identified studies Methods: Clarivate Analytics Web of Science database was queried to identify all publication titles, abstracts, and keywords for the term 'lacrosse' on 9 June 2023. The resulting articles were sorted by total number of citations. Titles and abstracts were included based on their relevance to lacrosse. Once the 50 most cited articles were identified, each article was further analyzed to obtain author name, publication year, country of origin, journal name, article type, research topic, competition level, total number of citations, and the level of evidence. Citation density (total number of citations/years since publication) was calculated and recorded for each of the most-cited studies. Results: The 50 most-cited articles were cited 4237 of times with an average of 84 citations per article. The most cited article was cited 637 (15.0%) times. The articles came from 2 different countries, with the United States and Australia comprising 49 and 1 articles, respectively. All articles were published in English. The American Journal of Sports Medicine published the most articles (n = 21, 42.0%). The most studied topic was concussion/traumatic brain injury (n = 18) followed by studies assessing all injuries (n = 7). Collegiate-level lacrosse was the most studied level of competition (n = 22), while high school-level followed (n = 12). Conclusions: The majority of the 50 most-cited articles related to lacrosse since 1990 focus on the prevalence, diagnosis and identification of concussion/traumatic brain injury in high school and collegiate-level athletes. These articles are predominantly epidemiological or cohort studies with Level III or IV evidence that almost unanimously originate from the United States. [ABSTRACT FROM AUTHOR]

Revision shoulder arthroplasty (SA) is a surgical procedure performed to address complications or failures of primary total SA. However, limited evidence exists regarding the functional outcomes and longevity of implants following revision. A retrospective analysis was conducted on patients who underwent revision SA for failed primary arthroplasty at a single institution between 2009 and 2021 with a minimum of 2-years follow-up. Data was collected from medical records, including type of arthroplasty (anatomic total SA [TSA], reverse total SA [RSA], or hemi-SA [HSA]), demographics and patient-specific information, functional measurements, and implant survival. Patient reported outcomes were obtained during follow-up by phone. The mean age at index and revision surgeries was 60.5 ± 12.1 years and 64.8 ± 11.1 years, respectively, and average total follow-up was 5.5 ± 3.5 years. The average time to revision was 4.5 ± 5.2 years (range 0.01–24.5 years). Among 99 revision shoulder arthroplasty procedures, 28 were TSA/HA to TSA/HA, 51 were TSA/HA to RSA, 18 were RSA to RSA, and 2 were RSA to HA. Revision surgery significantly improved functional outcomes in forward elevation (preoperative: 79.8 ± 41.0 vs postoperative: 118.5 ± 38.3; p < 0.001), external rotation (preoperative: 27.8 ± 19.3 vs postoperative: 34.3 ± 16.2; p = 0.028), internal rotation (preoperative: glute vs postoperative: S1; p = 0.002), and forward elevation strength (preoperative: 4+/5 vs postoperative: 5/5; p = 0.002). Postoperative patient reported outcomes included: VAS pain (2.2 ± 2.9), SANE (72.6 ± 21.5), ASES (73.3 ± 20.4), and SST (7.7 ± 2.8) scores. The overall 2-, 5-, and 10-year post-revision implant survival rate was 85.48%, 83.06%, and 79.84%, respectively. Patients who had an initial RSA and were revised to RSA were at higher risk of implant failure and subsequent re-revision (RSA to RSA: 1.5 ± 2.5 years vs. TSA/HA to RSA: 2.5 ± 2.1 years vs. TSA/HA to TSA/HA: 4.0 ± 3.5 years; p = 0.0046) Revision shoulder arthroplasty improved patient outcomes post-index arthroplasty failure. Revisions were more likely to be successful when revising from TSA/HA to RSA. Level III – retrospective comparative study. [ABSTRACT FROM AUTHOR]

Background: Automated identification of spectral domain optical coherence tomography (SD-OCT) features can improve retina clinic workflow efficiency as they are able to detect pathologic findings. The purpose of this study was to test a deep learning (DL)-based algorithm for the identification of Idiopathic Full Thickness Macular Hole (IFTMH) features and stages of severity in SD-OCT B-scans. Methods: In this cross-sectional study, subjects solely diagnosed with either IFTMH or Posterior Vitreous Detachment (PVD) were identified excluding secondary causes of macular holes, any concurrent maculopathies, or incomplete records. SD-OCT scans (512 × 128) from all subjects were acquired with CIRRUS™ HD-OCT (ZEISS, Dublin, CA) and reviewed for quality. In order to establish a ground truth classification, each SD-OCT B-scan was labeled by two trained graders and adjudicated by a retina specialist when applicable. Two test sets were built based on different gold-standard classification methods. The sensitivity, specificity and accuracy of the algorithm to identify IFTMH features in SD-OCT B-scans were determined. Spearman's correlation was run to examine if the algorithm's probability score was associated with the severity stages of IFTMH. Results: Six hundred and one SD-OCT cube scans from 601 subjects (299 with IFTMH and 302 with PVD) were used. A total of 76,928 individual SD-OCT B-scans were labeled gradable by the algorithm and yielded an accuracy of 88.5% (test set 1, 33,024 B-scans) and 91.4% (test set 2, 43,904 B-scans) in identifying SD-OCT features of IFTMHs. A Spearman's correlation coefficient of 0.15 was achieved between the algorithm's probability score and the stages of the 299 (47 [15.7%] stage 2, 56 [18.7%] stage 3 and 196 [65.6%] stage 4) IFTMHs cubes studied. Conclusions: The DL-based algorithm was able to accurately detect IFTMHs features on individual SD-OCT B-scans in both test sets. However, there was a low correlation between the algorithm's probability score and IFTMH severity stages. The algorithm may serve as a clinical decision support tool that assists with the identification of IFTMHs. Further training is necessary for the algorithm to identify stages of IFTMHs. [ABSTRACT FROM AUTHOR]