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Li X, Feng Y, Gong Y, Chen Y. Assessing the Reproducibility of Research Based on the Food and Drug Administration Manufacturer and User Facility Device Experience Data. J Patient Saf 2024; 20:e45-e58. [PMID: 38470959 DOI: 10.1097/pts.0000000000001220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
OBJECTIVE This article aims to assess the reproducibility of Manufacturer and User Facility Device Experience (MAUDE) data-driven studies by analyzing the data queries used in their research processes. METHODS Studies using MAUDE data were sourced from PubMed by searching for "MAUDE" or "Manufacturer and User Facility Device Experience" in titles or abstracts. We manually chose articles with executable queries. The reproducibility of each query was assessed by replicating it in the MAUDE Application Programming Interface. The reproducibility of a query is determined by a reproducibility coefficient that ranges from 0.95 to 1.05. This coefficient is calculated by comparing the number of medical device reports (MDRs) returned by the reproduced queries to the number of reported MDRs in the original studies. We also computed the reproducibility ratio, which is the fraction of reproducible queries in subgroups divided by the query complexity, the device category, and the presence of a data processing flow. RESULTS As of August 8, 2022, we identified 523 articles from which 336 contained queries, and 60 of these were executable. Among these, 14 queries were reproducible. Queries using a single field like product code, product class, or brand name showed higher reproducibility (50%, 33.3%, 31.3%) compared with other fields (8.3%, P = 0.037). Single-category device queries exhibited a higher reproducibility ratio than multicategory ones, but without statistical significance (27.1% versus 8.3%, P = 0.321). Studies including a data processing flow had a higher reproducibility ratio than those without, although this difference was not statistically significant (42.9% versus 17.4%, P = 0.107). CONCLUSIONS Our findings indicate that the reproducibility of queries in MAUDE data-driven studies is limited. Enhancing this requires the development of more effective MAUDE data query strategies and improved application programming interfaces.
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Affiliation(s)
- Xinyu Li
- From the Department of Computer Science, Vanderbilt University, Nashville, Tennessee
| | - Yubo Feng
- From the Department of Computer Science, Vanderbilt University, Nashville, Tennessee
| | - Yang Gong
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
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Pagan C, Karasavvidis T, Cohen-Rosenblum A, Hannon CP, Lombardi AV, Vigdorchik J. Technology in Total Knee Arthroplasty in 2023. J Arthroplasty 2024:S0883-5403(24)00751-4. [PMID: 39053667 DOI: 10.1016/j.arth.2024.07.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 07/15/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024] Open
Abstract
Over the past few decades, instrumentation and techniques for total knee arthroplasty (TKA) have evolved from conventional manual tools to a wide range of technologies, including calibrated guides for accurate bone cuts and alignment, smart tools, dynamic intraoperative sensors for soft-tissue balancing, patient-specific guides, computer navigation, and robotics. This review is intended to provide an overview of the latest advancements in TKA technology, address potential challenges and solutions related to the application of these technologies, and explore their limitations.
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Affiliation(s)
- Cale Pagan
- Adult Reconstruction and Joint Replacement Service, Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY, USA.
| | - Theofilos Karasavvidis
- Adult Reconstruction and Joint Replacement Service, Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY, USA
| | | | - Charles P Hannon
- Deparment of Orthopaedic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Jonathan Vigdorchik
- Adult Reconstruction and Joint Replacement Service, Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY, USA
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An HM, Cao Z, Zhang S, Yang MZ, Kong XP, Chai W. Why robot-assisted total hip arthroplasty aborted: Chinese experience of four hundred and twenty nine consecutive cases. INTERNATIONAL ORTHOPAEDICS 2024:10.1007/s00264-024-06250-0. [PMID: 39012414 DOI: 10.1007/s00264-024-06250-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 07/02/2024] [Indexed: 07/17/2024]
Abstract
PURPOSE Robot-assisted total hip arthroplasty (RA-THA) helps with precise orientation of the prosthesis, but some RA-THA procedures are aborted intraoperatively and are converted to manual total hip arthroplasty (THA). This study aimed to analyse why RA-THA is sometimes aborted intraoperatively and to make recommendations accordingly. METHODS A total of 429 consecutive Mako THA cases in our prospective database from August 2018 to June 2021 were included in our study. All robotic procedures aborted intraoperatively for any reason were recorded. The patients' demographics, diagnoses, and surgeons' information were included in the statistical analysis to pinpoint the risk factors for intraoperative robot to manual conversion. RESULTS Intraoperative RA-THA abortions occurred in 17 cases (3.96%) and the patients had to be converted to manual THA. The adverse events leading to intraoperative abortions included pelvic array loosening or malposition (5, 1.17%), inaccurate bone mapping or construction (6, 1.40%), inaccurate initial registration (4, 0.93%), and other reasons (2, 0.47%). CONCLUSION Robot-related adverse events could be found in all perioperative steps of RA-THA, and some of these events might result in intraoperative abortion. Complex hip disease was a statistically significant factor for an increased risk of intraoperative abortion of RA-THA. Standardized surgical procedures and preoperative assessments can be helpful in reducing the rate of RA-THA abortions.
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Affiliation(s)
- Hao-Ming An
- School of Medicine, Nankai University, Tianjin, China
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Zheng Cao
- School of Medicine, Nankai University, Tianjin, China
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Shuai Zhang
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
- Department of Orthopedics, 969th Hospital of Joint Logistics Support Force of PLA, Hohhot, 010051, China
| | - Min-Zhi Yang
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
- National Clinical Research Center for Orthopedics, Sports Medicine and Rehabilitation, Beijing, China
| | - Xiang-Peng Kong
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China.
- National Clinical Research Center for Orthopedics, Sports Medicine and Rehabilitation, Beijing, China.
| | - Wei Chai
- Senior Department of Orthopedics, the Fourth Medical Center of PLA General Hospital, Beijing, China.
- National Clinical Research Center for Orthopedics, Sports Medicine and Rehabilitation, Beijing, China.
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McLeod MM, Kim JS, Moley P, Fontana MA, Blevins J, Chalmers B, Bamman M, Bostrom MP. Arthritis Foundation/HSS Workshop on Hip Osteoarthritis, Part 4: Nonoperative Options, Machine Learning in Predicting Total Hip Arthroplasty, Robotics, and Phenotyping to Guide Precision Rehabilitation. HSS J 2023; 19:473-477. [PMID: 37937083 PMCID: PMC10626938 DOI: 10.1177/15563316231193367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 06/05/2023] [Indexed: 11/09/2023]
Abstract
Far more publications are available for osteoarthritis of the knee than of the hip. Recognizing this research gap, the Arthritis Foundation (AF), in partnership with the Hospital for Special Surgery (HSS), convened an in-person meeting of thought leaders to review the state of the science of and clinical approaches to hip osteoarthritis. This article summarizes the recommendations gleaned from presentations given in the "late-stage osteoarthritis" session of the 2023 Hip Osteoarthritis Clinical Studies Conference, which took place on February 17 and 18, 2023, in New York City. It covers conservative treatment, decision-making in end-stage hip osteoarthritis, advancements in robotics, and the role of phenotyping in precision rehabilitation post-total hip arthroplasty (THA).
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Affiliation(s)
| | | | - Peter Moley
- Hospital for Special Surgery, New York City, NY, USA
| | | | - Jason Blevins
- Hospital for Special Surgery, New York City, NY, USA
| | | | - Marcus Bamman
- Florida Institute for Human & Machine Cognition, Pensacola, FL, USA
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Duan X, Zhao Y, Zhang J, Kong N, Cao R, Guan H, Li Y, Wang K, Yang P, Tian R. Learning curve and short-term clinical outcomes of a new seven-axis robot-assisted total knee arthroplasty system: a propensity score-matched retrospective cohort study. J Orthop Surg Res 2023; 18:425. [PMID: 37308901 DOI: 10.1186/s13018-023-03899-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/01/2023] [Indexed: 06/14/2023] Open
Abstract
OBJECTIVE The purpose of the present study was to determine the learning curve for a novel seven-axis robot-assisted (RA) total knee arthroplasty (TKA) system and to explore whether it could provide superior short-term clinical and radiological outcomes compared with conventional surgery. METHODS In the present retrospective study, 90 patients who underwent RA-TKA were included in robot-assisted system (RAS) group and 90 patients who underwent conventional TKA were included in the conventional group. The duration of surgery and robot-related complications were recorded to evaluate the learning curve through cumulative sum and risk-adjusted cumulative sum methods. The demographic data, preoperative clinical data, preoperative imaging data, duration of surgery, alignment of the prosthesis, lower limb force line alignment, Knee Society score, 10-cm visual analog scale pain score and range of motion were compared between the RAS and conventional groups. In addition, the proficiency group was compared with the conventional group using propensity score matching. RESULTS RA-TKA was associated with a learning curve of 20 cases for the duration of surgery. There was no significant difference in indicators representing the accuracy of the prosthetic installation between the learning and proficiency phases in RA-TKA group patients. A total of 49 patients in the proficiency group were matched with 49 patients from the conventional group. The number of postoperative hip-knee-ankle (HKA) angle, component femoral coronal angle (CFCA), component tibial coronal angle (CTCA), and sagittal tibial component angle (STCA) outliers in the proficiency phase was lower than that in the conventional group, while deviations of the HKA angle, CFCA, CTCA, and STCA in the proficiency phase were significantly lower than those in the conventional group (P < 0.05). CONCLUSION In summary, from the learning curve data, 20 cases are required for a surgeon using a novel seven-axis RA-TKA system to enter the proficiency phase. In the proficiency group, compared with the conventional group using propensity score matching, the RAS was found to be superior to the conventional group in prosthesis and lower limb alignment.
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Affiliation(s)
- Xudong Duan
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Yiwei Zhao
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Jiewen Zhang
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Ning Kong
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Ruomu Cao
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Huanshuai Guan
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Yiyang Li
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Kunzheng Wang
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China
| | - Pei Yang
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
| | - Run Tian
- Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
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