scholarly journals Meta-analysis in periprosthetic joint infection: a global bibliometric analysis

2020 ◽  
Author(s):  
Cheng Li ◽  
Cristina Ojeda Thies ◽  
Chi Xu ◽  
Andrej Trampuz

Abstract Background: Periprosthetic joint infection (PJI) is the most serious complication of joint replacement surgery. Further comorbidities include bedsore, deep vein thrombosis, reinfection, or even death. An increasing number of researchers are focusing on this challenging complication. The aim of the present study was to estimate global PJI research based on bibliometrics from meta-analysis studies. Methods: A database search was performed in PubMed, Scopus, and Web of Science. Relevant studies were assessed using the bibliometric analysis.Results: A total of 117 articles were included. The most relevant literature on PJI was found on Scopus. China made the highest contributions to global research, followed by the United States and the United Kingdom. The institution with the most contributions from the University of Bristol. The journal with the highest number of publications was The Journal of Arthroplasty, whereas the Journal of Clinical Medicine had the shortest acceptance time. Furthermore, the top three frequently used databases were Embase, MEDLINE, and Cochrane. The most frequent number of authors in meta-analysis studies was four. Most studies focused on the periprosthetic hip and knee. The alpha-defensin diagnostic test, preventive measures on antibiotics use, and risk factors of intra-articular steroid injections were the most popular topic in recent years. Conclusion: Based on the results of the present study, we found that there was no single database covered all relevant articles, the optimal method for bibliometric analysis is a combination of databases. The most popular research topics on PJI focused on alpha-defensin, antibiotic use, risk factors of intra-articular steroid injections, and the location of prosthetic hip and knee infection.

2020 ◽  
Author(s):  
Cheng Li ◽  
Cristina Ojeda Thies ◽  
Chi Xu ◽  
Andrej Trampuz

Abstract Background: Periprosthetic joint infection (PJI) is the most serious complication of joint replacement surgery. Further comorbidities include bedsore, deep vein thrombosis, reinfection, or even death. An increasing number of researchers are focusing on this challenging complication. The aim of the present study was to estimate global PJI research based on bibliometrics from meta-analysis studies. Methods: A database search was performed in PubMed, Scopus, and Web of Science. Relevant studies were assessed using the bibliometric analysis. Results: A total of 117 articles were included. The most relevant literature on PJI was found on Scopus. China made the highest contributions to global research, followed by the United States and the United Kingdom. The institution with the most contributions from the University of Bristol. The journal with the highest number of publications was The Journal of Arthroplasty, whereas the Journal of Clinical Medicine had the shortest acceptance time. The day of the week with the greatest number of received and accepted manuscripts was Wednesday. Furthermore, the top three frequently used databases were Embase, MEDLINE, and Cochrane. The most frequent number of authors in meta-analysis studies was four. Most studies focused on the periprosthetic hip and knee. The alpha-defensin diagnostic test, preventive measures on antibiotics use, and risk factors of intra-articular steroid injections were the most popular topic in recent years. Conclusion: Based on the results of the present study, we found that there was no single database covered all relevant articles, the optimal method for bibliometric analysis is a combination of databases. The most popular research topics on PJI focused on alpha-defensin, antibiotic use, risk factors of intra-articular steroid injections, and the location of prosthetic hip and knee infection. Alpha-defensin appears to be a reliable tool for the diagnosis of PJI.


2016 ◽  
Vol 14 (3) ◽  
pp. 529-536 ◽  
Author(s):  
Lingde Kong ◽  
Junming Cao ◽  
Yingze Zhang ◽  
Wenyuan Ding ◽  
Yong Shen

2020 ◽  
Author(s):  
Haitao Zhang ◽  
Yinuo Fan ◽  
Pengfei Xin ◽  
Houran Cao ◽  
Wenjun Feng ◽  
...  

Abstract Background: Periprosthetic Joint Infection (PJI) remains a great challenge for joint orthopedic surgeons. The purpose of this study is to identify promising research directions by comprehensively analyze the global status and development trend of research in PJI based on bibliometrics and visual analysis.Methods: Overall the literature about PJI from 1994 to 2020 was searched from Web of Science Core Collection (WOSCC). The extracted data (author, journal, institution, country or region, research orientation, support fund, Cited situation) were analyzed by bibliometrics. VOSviewer was used for bibliographic coupling, co-citation, co-authorship, co-occurrence analysis. According to the results of visual analysis, this paper explores the global status and hot prediction direction of PJI.Results: A total of 2,283 eligible publications were retrieved. In terms of the trend of previous years, an increasing number of PJI publications will be published. Among the countries in the world, the United States has the largest contribution to the field of PJI. Although “Journal of Arthroplasty” has published the largest number of articles, the most influential journal is "Clinical Orthopaedics and Related Research”. Thomas Jefferson University has the largest number of publications of any organization. The study of PJI can be divided into four clusters: "Study on diagnosis", "Related risk factors", "Study on treatment", and "Study on anti-biofilm in vitro". The diagnosis and risk factors of PJI is considered to be a hot direction in the future direction.Conclusions: In recent years, the literature related to PJI has presented a continuous growth trend. The United States is the largest contributor to this field. More attention should be paid to the diagnostic and risk factors of PJI, which may be the future hot spots in this field.


2020 ◽  
Author(s):  
Ying Liu ◽  
Ziyan Yu ◽  
Shuolan Jing ◽  
Honghu Jiang ◽  
Chunxia Wang

BACKGROUND Artificial intelligence (AI) has penetrated into almost every aspect of our lives and is rapidly changing our way of life. Recently, the new generation of AI taking machine learning and particularly deep convolutional neural network theories as the core technology, has stronger learning ability and independent learning evolution ability, combined with a large amount of learning data, breaks through the bottleneck limit of model accuracy, and makes the model efficient use. OBJECTIVE To identify the 100 most cited papers in artificial intelligence in medical imaging, we performed a comprehensive bibliometric analysis basing on the literature search on Web of Science Core Collection (WoSCC). METHODS The 100 top-cited articles published in “AI, Medical imaging” journals were identified using the Science Citation Index Database. The articles were further reviewed, and basic information was collected, including the number of citations, journals, authors, publication year, and field of study. RESULTS The highly cited articles in AI were cited between 72 and 1,554 times. The majority of them were published in three major journals: IEEE Transactions on Medical Imaging, Medical Image Analysis and Medical Physics. The publication year ranged from 2002 to 2019, with 66% published in a three-year period (2016 to 2018). Publications from the United States (56%) were the most heavily cited, followed by those from China (15%) and Netherlands (10%). Radboud University Nijmegen from Netherlands, Harvard Medical School in USA, and The Chinese University of Hong Kong in China produced the highest number of publications (n=6). Computer science (42%), clinical medicine (35%), and engineering (8%) were the most common fields of study. CONCLUSIONS Citation analysis in the field of artificial intelligence in medical imaging reveals interesting information about the topics and trends negotiated by researchers and elucidates which characteristics are required for a paper to attain a “classic” status. Clinical science articles published in highimpact specialized journals are most likely to be cited in the field of artificial intelligence in medical imaging.


2021 ◽  
pp. 112070002110126
Author(s):  
Raman Mundi ◽  
Harman Chaudhry ◽  
Seper Ekhtiari ◽  
Prabjit Ajrawat ◽  
Daniel M Tushinski ◽  
...  

Introduction: In the United States, over 1,000,000 total joint arthroplasty (TJA) surgeries are performed annually and has been forecasted that this number will exceed 4,000,000 by the year 2030. Many different types of dressing exist for use in TJA surgery, and it is unclear if any of the newer, hydrofibre dressings are superior to traditional dressings at reducing rates of infections or improving wound healing. Thus, the aim of this systematic review and meta-analysis was to assess the impact of hydrofiber dressings on reducing complications. Methods: A systematic review and meta-analysis was performed using the online databases MEDLINE and the Cochrane Library. Randomized controlled trials (RCTs) comparing hydrofibre dressings to a standard dressing were included. Summary measures are reported as odds ratios (ORs) and mean differences (MDs) with 95% confidence intervals (CIs). Our primary outcome was prosthetic joint infection (PJI). Secondary outcomes included blisters, dressing changes and wound irritation. Results: 5 RCTs were included. Hydrofibre dressing had no observable effect on PJI or wound irritation (OR 0.53; 95% CI, 0.14–1.98; p = 0.35). Hydrofibre dressings reduced the rate of blisters (OR 0.36; 95% CI, 0.14–0.90; p = 0.03) and number of dressing changes (MD -1.89; 95% CI, -2.68 to -1.11). Conclusions: In conclusion, evidence suggests hydrofibre dressings have no observable effect on PJI and wound irritation. Evidence for reduction in blisters and number of dressings is modest given wide CIs and biased trial methodologies. Use of hydrofibre dressings should be considered inconclusive for mitigating major complications in light of current best evidence.


2021 ◽  
Author(s):  
Franziska Eckers ◽  
Christoph J. Laux ◽  
Sebastian Schaller ◽  
Martin Berli ◽  
Yvonne Achermann ◽  
...  

Abstract Background: Periprosthetic joint infection (PJI) is a severe complication following knee arthroplasty. Therapeutic strategies comprise a combination of surgical and antibiotic treatment modalities and aim to eradicate the infection. Sometimes control of the disease can only be attained by above-knee amputation (AKA). While a vast amount of literature exists illuminating predisposing factors for PJI, risk factors favoring the endpoint AKA in this context are sparsely known. Methods: The purpose of this investigation was to delineate whether patients with PJI of the knee present specific risk factors for AKA. In a retrospective case-control study 11 cases of PJI treated with AKA were juxtaposed to 57 cases treated with limb salvage (LS). The minimum follow-up was two years. Comorbidities, signs and symptoms of the current infection, factors related to previous surgeries and the implant, microbiology, as well as therapy related factors were recorded. Comparative analysis was performed using student’s t-test, chi-square test or Fisher’s exact test. Binary differences were calculated using odds ratio (OR). Reoperation frequency was compared using Mann-Whitney U test. In-depth descriptive analysis of 11 amputees was carried out. Results: A total of 68 cases aged 71±11.2 years were examined, hereof 11 with AKA and 57 with LS. Severe comorbidities (p=0.009), alcohol abuse (p=0.015), and preoperative anemia (p=0.022) were more frequently associated with AKA. Preoperative anemia was found in all 11 amputees (100%) and in 33 of 57 LS patients (58%) with an average preoperative hemoglobin of 99.9±15.1 g/dl compared to 118.2±19.9 g/dl (p=0.011). No other parameters differed significantly. AKA patients underwent a median of eight (range 2-24) reoperations, LS patients a median of five (range 2-15).Conclusion: Factors potentially influencing the outcome of knee PJI are diverse. The indication of AKA in this context remains a rarity and a case-by-case decision. Patient-intrinsic systemic factors such as alcohol abuse, severe comorbidities and preoperative anemia may elevate the individual risk for AKA in the setting of PJI. We recommend that anemia, being a condition well amenable to therapeutic measures, should be given special consideration in management of PJI patients. Trial registration: This study was registered with Kantonale Ethikkommission Zürich, (BASEC-No. 2016-01048).


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