Repository logo
  • English
  • 中文
Log In
Have you forgotten your password?
  1. Home
  2. College of Public Health / 公共衛生學院
  3. Epidemiology and Preventive Medicine / 流行病學與預防醫學研究所
  4. Prognosis Analysis of Service Time and Performance in Major League Baseball Players after Ulnar Collateral Ligament Reconstruction
 
  • Details

Prognosis Analysis of Service Time and Performance in Major League Baseball Players after Ulnar Collateral Ligament Reconstruction

Date Issued
2015
Date
2015
Author(s)
Jhuo, Long-Hong
URI
http://ntur.lib.ntu.edu.tw//handle/246246/273819
Abstract
Background Ulnar collateral ligament reconstruction (UCLR) is the mainly medical treatment for arms ligament injury in American Major League Baseall (MLB). The cases of UCLR slightly increased between 1974 and 2000. After 2000s, UCLR rapidly increased to about 10 to 20 cases annually. Particuarly in 2012, the performed cases dramatcially increasd to 36 cases. Therefore, the recent literatures have payed increased attention in studying the UCLR in the sport journals. Objectives Prior literatures focued on the performance of pitcher before and after UCLR for 1 to 3 years, but did not analyze what prognosis factors may affect the the performance after UCLR based on the service time after returning the MLB. Therefore, the aim of this thesis was to establish a long-term prognsistic model for the service time after UCLR, and use this model to predict the dynamic post-UCLR performance of these elite players. Methods We selected 276 major league baseball players’ record with performing UCLR between September 25, 1974 and June 30, 2014 from public data in Baseball-reference (http://www.baseball-reference.com) and Baseball Prospectus (http://www.baseballprospectus.com). All the selected players were followed up to April 28, 2015.We define a time response variable, called ‘service time after UCLR’, as to the numbers of days from players’return dates to MLB after UCLR until the date of retirement from MLB. This service time was used to stand for the performance of a player. In addition, beause some players are still active in the collected data, survival analysis was applied to solve such a right-censored problem. Result. In the totally 276 players’record, there were 236 players(85.1%) who had successfully returned in MLB after UCLR, and the medium service time after UCLR was 1,675 days/4.59 years (95%CI:1163-1588 days/2.94-4.35 years). In the univariate analyses, the players with age≥ 28 years old had significantly shorter service days (P<0.0001), and the other significant prognosis factors induced shorter service time included longer (≥4.7years) MLB experience before UCLR (P=0.0003), lower (≤26.5) BMI (P=0.0085), pitchers vs. players with other positions (P=0.0159), the second vs. first UCLR (P=0.0063) and other players vs. all-star players (P=0.0494). The Kaplan-Meier method was used to estimate the probabilities of playing in MLB at the days after returning in MLB with repsect to different prognosis factors. In the multivariate analysis, we use Cox-regression model and backward stepwise method to select the prognosis factors in the model.We found that the players with age≥28 years old had significantly higher hazard (P=0.0070), and the other significant prognosis factors induced higher hazard included longer (≥4.7years) MLB experience before UCLR (P=0.0319), lower (≤26.5) BMI (P=0.0054), pitchers vs. players with other positions (P=0.0055), American Leagues vs. National Leagues (P=0.0437) and other players vs. all-star players (P=0.0020). Conclusion We adopt the survival analysis to identify the significant prognostic factors related to the risk of leaving MLB because the issue of the incomplete post-UCLR service times can be tackled. We found the player with the younger, shorter MLB experience before UCLR, higher BMI, with other positions than pitcher and National League all-star players are most likey to have a longer post-UCLR service times in MLB.
Subjects
Major League Baseball
Prognsis factors
Service time
Survival analysis
Ulnar collateral ligament reconstruction
Type
thesis
File(s)
Loading...
Thumbnail Image
Name

ntu-104-R02849043-1.pdf

Size

23.32 KB

Format

Adobe PDF

Checksum

(MD5):db05a52d7f0d280e42b09ef42fc62a96

臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

總館學科館員 (Main Library)
醫學圖書館學科館員 (Medical Library)
社會科學院辜振甫紀念圖書館學科館員 (Social Sciences Library)

開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

  • 請確認所上傳的全文是原創的內容,若該文件包含部分內容的版權非匯入者所有,或由第三方贊助與合作完成,請確認該版權所有者及第三方同意提供此授權。
    Please represent that the submission is your original work, and that you have the right to grant the rights to upload.
  • 若欲上傳已出版的全文電子檔,可使用Open policy finder網站查詢,以確認出版單位之版權政策。
    Please use Open policy finder to find a summary of permissions that are normally given as part of each publisher's copyright transfer agreement.
  • 網站簡介 (Quickstart Guide)
  • 使用手冊 (Instruction Manual)
  • 線上預約服務 (Booking Service)
  • 方案一:臺灣大學計算機中心帳號登入
    (With C&INC Email Account)
  • 方案二:ORCID帳號登入 (With ORCID)
  • 方案一:定期更新ORCID者,以ID匯入 (Search for identifier (ORCID))
  • 方案二:自行建檔 (Default mode Submission)
  • 方案三:學科館員協助匯入 (Email worklist to subject librarians)

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science