Research Output inOrthopaedics and Sports Medicine from Nigeria and Africa - A Bibliometric Analysis.

Background: Nigeria has a relatively large scientific community that produces an adequate research output among African countries. Not many studies have analysed the research output in orthopaedics and sports medicine from Nigeria and Africa. Hence, we aimed to analyze the research output in orthopaedics and sports medicine from Nigeria and Africa. Methodology: We used the SCOPUS data from the Scimago Journal & Country Rank website. It allows us to draw various journal metrics for research. Results: Between 1996 and 2022, Nigerian research publications in orthopaedics and sports medicine had grown from 4 in 1996 to 39 in 2022 (a 10-fold growth) but overall is 62nd in the world representing 0.07% of publications in the period. In the same period, Africa published 8297 papers in orthopaedics and sports medicine representing only 1.24% of the global publications in this field. Conclusion: There is low research output in Orthopaedics and Sports Medicine from Nigeria and, the whole African continent. However, there has been a growth in the publications from Africa.

Global Stem Cell Research in Orthopaedics: A Bibliometric Study from 1995 to 2020.

Background: The research field of stem cell-based therapies in orthopaedics has witnessed significant growth in the recent past. We aimed to identify and analyze the bibliometric characteristics of the global highly cited papers (HCPs) in stem cell research in orthopaedics. Methods: This study relied on secondary data extracted from Scopus, Elsevier's abstract and citation database. An advanced search string was employed, for the period from 1995 to 2020. For each paper, the extracted information included the number of citations, title, authors (name, number, authorship position, and country), year of publication, title of the journals, study design, and thematic field. The VOSviewer (1.6.20) was used to uncover relationships between authors, institutions, keywords, and publications. Results: There were a total of 1427 publications and out of these 186 papers had 100 or more citations (range 100-2644) and were considered as HCPs. The average citation per paper (CPP) was 265.8. Only 4% of the top HCPs contributed 20% of the total citations of all HCPs. All the HCPs were published from high-income countries, and the USA was the leading country in all aspects of publication on stem cell research. Méndez-Ferrer S registered the highest citation (n = 2644), Prockop DJ was the most prolific author (n = 8 papers), and Harvard Medical School, USA emerged as the most prolific organization with 12 HCPs. Conclusion: Global research in stem cell therapies for orthopaedic problems is making strides, and is an emerging field of research. Stem cell research offers the potential for improved treatment outcomes for various musculoskeletal conditions. Supplementary Information: The online version contains supplementary material available at 10.1007/s43465-024-01160-0.

Better outcomes using suture button compared to screw fixation in talofibular syndesmotic injuries of the ankle: a level I evidence-based meta-analysis.

INTRODUCTION: The present meta-analysis evaluated current level I clinical trials which compared the use of a suture button (SB) versus syndesmotic screw (SS) fixation techniques for syndesmosis injuries of the ankle. The outcomes of interest were to compare patient-reported outcome measures (PROMs) and complications. It was hypothesised that SB might achieve better PROMs along with a lower rate of complications. METHODS: This study was conducted according to the 2020 PRISMA statement. In August 2023, PubMed, Web of Science, Google Scholar, and Embase were accessed. All the randomised controlled trials (RCTs) which compared SB versus SS fixation for syndesmosis injuries of the ankle were accessed. Data concerning the American Orthopaedic Foot & Ankle Society (AOFAS), and Olerud-Molander score (OMS) were collected at baseline and at last follow-up. Data on implant failure, implant removal, and joint malreduction were also retrieved. RESULTS: Data from seven RCTs (490 patients) were collected. 33% (161 of 490) were women. The mean length of the follow-up was 30.8 ± 27.4 months. The mean age of the patients was 41.1 ± 4.1 years. Between the two groups (SB and SS), comparability was found in the mean age, and men:women ratio. The SS group evidenced lower OMS (P = 0.0006) and lower AOFAS (P = 0.03). The SS group evidenced a greater rate of implant failure (P = 0.0003), implant removal (P = 0.0005), and malreduction (P = 0.04). CONCLUSION: Suture button fixation might perform better than the syndesmotic screw fixation in syndesmotic injuries of the ankle.

Global Research on Osteoarthritis During 1994-2023: A Scientometric Assessment of Publications and Citations.

Introduction: This study presents a global research scenario in the broad domain of osteoarthritis (OA) research, using quantitative and qualitative publication and citation indicators. Methods: The study is based on 45,368 global publications, sourced from the Scopus bibliographical database, covering three decades (1994-2023). We studied the performance of the top 12 developed and top 12 developing countries. The key countries, organizations and authors at national and international levels were identified. The broad subject areas and key journals contributing to global OA research were delineated, besides identifying the broad characteristics of highly cited papers in the field. Results: The United States and China were the most productive countries, while the Netherlands and Canada made the largest citation impact. Harvard Medical School and the University of Sydney made the most contribution, while Boston University and Pfizer Inc., USA registered the highest citation impact. Hunter DJ and Guermazi A were the most productive authors, while Lohmander LS, and Hochberg MC registered the highest citation impact. Osteoarthritis and Cartilage (n = 4879) and Annals of the Rheumatic Diseases (n = 786) published the maximum papers, while Arthritis and Rheumatism and Nature Reviews Rheumatology registered the largest citation impact. The highly cited papers with 100 or more citations constituted 6.25% of the total publications. Conclusions: There has been a systematic growth of publications on OA. The research on OA was mainly done in developed countries, with the maximum publications coming from the United States of America, China and Canada. The most impactful publications on OA were from the Netherlands, Canada and the United States of America. Supplementary Information: The online version contains supplementary material available at 10.1007/s43465-024-01111-9.

Machine learning and deep learning for the diagnosis and treatment of ankylosing spondylitis- a scoping review.

Background and objectives: Machine Learning (ML) and Deep Learning (DL) are novel technologies that can facilitate early diagnosis of Ankylosing Spondylitis (AS) and predict better patient-specific treatments. We aim to provide the current update on their use at different stages of AS diagnosis and treatment, describe different types of techniques used, dataset descriptions, contributions and limitations of existing work and ed to identify gaps in current knowledge for future works. Methods: We curated the data of this review from the PubMed database. We searched the full-text articles related to the use of ML/DL in the diagnosis and treatment of AS, for the period 2013-2023. Each article was manually scrutinized to be included or excluded for this review as per its relevance. Results: This review revealed that ML/DL technology is useful to assist and promote early diagnosis through AS patient characteristic profile creation, and identification of new AS-related biomarkers. They can help in forecasting the progression of AS and predict treatment responses to aid patient-specific treatment planning. However, there was a lack of sufficient-sized datasets sourced from multi-centres containing different types of diagnostic parameters. Also, there is less research on ML/DL-based AS treatment as compared to ML/DL-based AS diagnosis. Conclusion: ML/DL can facilitate an early diagnosis and patient-tailored treatment for effective handling of AS. Benefits are especially higher in places with a lack of diagnostic resources and human experts. The use of ML/DL-trained models for AS diagnosis and treatment can provide the necessary support to the otherwise overwhelming healthcare systems in a cost-effective and timely way.

Effectiveness of AI-powered Chatbots in responding to orthopaedic postgraduate exam questions-an observational study.

PURPOSE: This study analyses the performance and proficiency of the three Artificial Intelligence (AI) generative chatbots (ChatGPT-3.5, ChatGPT-4.0, Bard Google AI®) and in answering the Multiple Choice Questions (MCQs) of postgraduate (PG) level orthopaedic qualifying examinations. METHODS: A series of 120 mock Single Best Answer' (SBA) MCQs with four possible options named A, B, C and D as answers on various musculoskeletal (MSK) conditions covering Trauma and Orthopaedic curricula were compiled. A standardised text prompt was used to generate and feed ChatGPT (both 3.5 and 4.0 versions) and Google Bard programs, which were then statistically analysed. RESULTS: Significant differences were found between responses from Chat GPT 3.5 with Chat GPT 4.0 (Chi square = 27.2, P < 0.001) and on comparing both Chat GPT 3.5 (Chi square = 63.852, P < 0.001) with Chat GPT 4.0 (Chi square = 44.246, P < 0.001) with. Bard Google AI® had 100% efficiency and was significantly more efficient than both Chat GPT 3.5 with Chat GPT 4.0 (p < 0.0001). CONCLUSION: The results demonstrate the variable potential of the different AI generative chatbots (Chat GPT 3.5, Chat GPT 4.0 and Bard Google) in their ability to answer the MCQ of PG-level orthopaedic qualifying examinations. Bard Google AI® has shown superior performance than both ChatGPT versions, underlining the potential of such large language processing models in processing and applying orthopaedic subspecialty knowledge at a PG level.

Operating room efficiency for a high-volume surgeon in simultaneous bilateral robotic-assisted total knee arthroplasty: a prospective cohort study.

Robotic-assisted total knee arthroplasty (RATKA) has been shown to achieve more accurate component positioning and target alignment than conventional jig-based instrumentation; however, concerns remain regarding its adoption since it is associated with steep learning curves, higher operational costs, and increased surgical time. This study aims to compare the operating times of three cohorts of patients undergoing simultaneous bilateral TKA, i.e., first 50 RATKA, last 50 RATKA (at the end of 1 year), and 50 conventional TKA. This prospective cohort study was conducted at a single high-volume tertiary care center by a single experienced surgeon on 150 patients (300 knees), who were allotted into three equal cohorts of 50, between February 2020 and December 2021. Simultaneous bilateral TKAs were done in all three groups and operative times recorded. We describe the technique for optimizing the surgical time of SB-RATKA for efficient operative room logistics. The operating times of the two robotic-assisted TKA cohorts were compared with the operating times of the conventional SB-TKA cohort. The mean age of the study population was 59(±6.2) years with the majority of females (82%). The mean coronal deformity was comparable between the cohorts. The mean operating time in the conventional CTKA, initial 50 RATKA, and final 50 RATKA cohorts were 115.56 (±10.7), 127.8 (±26), and 91.66 (±13.5) min, respectively, all of which showed a statistically significant difference (p < 0.001). The mean operating times of the final 50 RATKA at the end of 1 year improved by about 36 min with all the SB-RATKA cases being completed in under 120 min. The efficiency of SB-RATKA improved significantly with time and experience, resulting in shorter operational times within a year, revealing the potential of robotic-assisted surgery to surpass conventional approaches in TKA in terms of operating room efficiency.

Prehabilitation: A proactive approach to enhancing outcomes in joint replacement surgery.

Prehabilitation is an emerging proactive and preventive approach to healthcare that focuses on preparing individuals for upcoming medical interventions or procedures. It aims to optimize physical and mental health before the planned medical and surgical interventions. By integrating exercise, psychological support, and lifestyle modifications, prehabilitation empowers individuals to face medical interventions with increased resilience and a higher likelihood of successful outcomes. Prehabilitation helps patients build strength and endurance, which can enhance their ability to withstand the physical stress of surgery and contribute to faster recovery. It plays a crucial role in optimizing outcomes for patients undergoing joint replacement surgery, by enhancing postoperative recovery, reducing complications, and improving the overall quality of life for patients. As the field of orthopaedics continues to evolve, the integration of prehabilitation into standard care protocols has the potential to redefine the landscape of joint replacement surgeries, ultimately improving patient outcomes, and hence more research is required from diverse population groups from developed and developing countries to collate required data and formulate evidence-based clinical guidelines.

Predictors of success of pharmacological management in patients with chronic lower back pain: systematic review.

BACKGROUND: Conservative management is recommended as the first therapeutic step in chronic low back pain (LBP), but there is no available evidence regarding the possible effect of patients' baseline characteristics on the therapeutic outcomes. A systematic review of the literature was performed to investigate this point. METHODS: In February 2024, all the level I studies investigating the role of pharmacological management for chronic LBP were accessed. Data concerning the patient demographic at baseline were collected: number of patients and related mean BMI and age, duration of the symptoms, duration of the follow-up, percentage of females, Numeric Rating Scale (NRS), the Roland Morris Disability Questionnaire (RMQ), Oswestry Disability Index (ODI). The outcomes at the last follow-up were evaluated through NRS, RMQ, and ODI. A multiple linear model regression diagnostic through the Pearson Product-Moment Correlation Coefficient (r) was used. RESULTS: Data from 47 articles (9007 patients) were obtained. The analysis yielded the following significant associations: age at baseline and NRS at follow-up (r = - 0.22; P = 0.04), NRS at baseline with NRS (r = 0.26; P = 0.03) and RMQ (r = - 0.58; P = 0.02) at follow-up, RMQ at baseline and the same at follow-up (r = 0.69; P = 0.0001). CONCLUSION: Older age, higher BMI, presence of comorbidities, higher ODI and a long history of symptoms or surgical treatments do not reduce the efficacy of pharmacological management of chronic LBP. However, pharmacological therapy is not an effective option for patients with high baseline RMQ. LEVEL OF EVIDENCE: I systematic review of RCTs.

Global research output and highly-cited publications on prosthetic joint infections: A bibliometric analysis (2003-2022).

Backgroundand aims: Prosthetic Joint Infection (PJI) is a serious clinical problem after Arthroplasty. The research field on PJI is emerging, but there is a paucity of information on the most impactful publications on it. This prompted us to conduct a bibliometric analysis of the global research output, from 2003 to 2022, to identify the growth of publications, the key players in this research field and to evaluate the characteristics of highly-cited publications (HCPs) on the PJI. Methods: Publications related to PJI research were identified globally from the Scopus database, using specific keywords, covering the literature from 2003 to 2022. The HCPs were considered those with 100 or more citations. Information on publication year, citation count, funding sources, title, author, journal, country, institution, research area, and strategic keywords were collected from these HCPs. Publication data was imported into Microsoft Excel and analyzed further using VOSviewer and R software. Results: There were 182 HCPs (3.12%), which received a total citation of 124701 (average CPP of 21.41), with the citation range from 100 to 1921. Research articles were the most predominant publications (69.2%), but their average citations per paper (CPP) of 189.78 was lower than that of Review articles (average CPP: 253.17). The USA has been the leading country in terms of total publications (31.58%), and HCPs (36.99%), followed by Switzerland, Spain, UK and China. There were no HCPs from developing countries. J. Parvizi of Thomas Jefferson University, USA (with a total publications of 31 and an average CPP of 315.7), and W. Zimmerli of Basel University, Switzerland (with a TP of 11 and an average CPP of 341.9), were the most productive and impactful authors in PJI global research output. Conclusion: This bibliometric analysis identified the most productive and impactful authors, organizations, countries, and journals in the research of PJI, of the last two decades.

The progress report of the Journal of Orthopaedics.

The Journal of Orthopaedics is one of the leading and fast-growing Orthopaedic journals from Asia (and India). It has demonstrated an increase in all the important journal metrics like submissions, citations, h-index, and Cite Score and has achieved its first journal impact factor in 2022.

Trends of Publications and Country Rankings in Pediatrics, Perinatology, and Child Health from Asia: A Bibliometric Study from 1996 to 2022.

There is a need to analyze the trends of country-wise research output in child heath over the past few decades. A total of 7,87,812 global publications in pediatrics, perinatology and child health were found from 1996 to 2022 in SCOPUS, the largest abstract and citation database of peer-reviewed literature, covering over 35,000 journals from diverse disciplines. About 13.4% of these were published from Asia. There was an average growth of global publications of 3.53 times between 1996 and 2022, with China and India showing higher growth than the global average.

Upsurge in Indian publications in Orthopaedics and Sports Medicine.

There has been a substantial growth in India's publications in Orthopaedics and Sports Medicine in the last few years. In 2022, it ranked number one in South Asian Association for Regional Cooperation (SAARC) nations, number three among Asian countries, and number 14 globally. Its global contribution in the 1996-2022 period was 1.39%, as compared to 6.56% of China (4.72 times lesser), but this gap has reduced in 2022, where India's contribution increased to 2.82%, as compared to 6.32% from China (2.24 times lesser). More concrete efforts are needed to boost the research output from India to further enhance the quantum and quality of publications. It is recommended that adequate research funding and collaboration (national and international) is needed on priority to meet these demands and try to ensure that no good research is wasted, without a publication.

Trends in Meniscus-Related Publications in PubMed Since 1928: A Bibliometric Study.

Background: As information on the meniscus accumulates in PubMed, it is possible to evaluate the trends in research on the topic over time. Purpose: To evaluate the major trends in meniscus-related publications in PubMed from the earliest publication to the present day. Study Design: Cross-sectional study. Methods: PubMed was searched on January 3, 2023, using the search strategy "menisc *"[All Fields] AND ("knee"[MeSH Terms] OR "knee"[All Fields] OR "knee joint"[MeSH Terms] OR ("knee"[All Fields] AND "joint"[All Fields]) OR "knee joint"[All Fields]) AND 1900/01/01:2022/12/31[Date - Publication]. This retrieved 15,569 human and animal studies. We determined the top 10 meniscus-related publications in terms of overall citations and citations per year, as well as the top 10 authors, journals, countries, and institutions of cited publications on the meniscus. In addition, we performed word-cloud analyses based on meniscus-related terms from different periods (before 1981, before 2000, after 2005, and in the past 5 years [2018-2022]), including the year of first appearance and the number of publications featured. Results: Since the first recorded publication on the meniscus in 1928, there was a steady growth in the number of articles until 2005, when there was an upsurge in publications from 254 in 2005 to 955 in 2022. Noyes was the author with the most citations (n = 3314), and a 2006 study by Caplan and Dennis had the most citations per year (n = 125). Arthroscopy published the most articles on the meniscus with 1118, whereas the Journal of Cellular Biochemistry had the most citations per article with 125.69. The most published countries and institutes were the United States and the Hospital for Special Surgery, respectively. Word-cloud analysis of article titles showed that "meniscectomy" had become less prominent, and "root,""ramp,""transplantation," and "slope" had become more prominent. Conclusion: There has been an upsurge in publications on the meniscus since 2005, with word-cloud analysis indicating shifting interests in meniscus-related research.

The pandemic is gone but its consequences are here to stay: avascular necrosis following corticosteroids administration for severe COVID-19.

BACKGROUND: In patients with COVID-19 infection and respiratory insufficiency, corticosteroid (CCS) administration is recommended. Among the wide range of complications and interactions, time-limited high-dose CCS administration might promote avascular necrosis (AVN) in a cumulative dose. This systematic review updated the current evidence and characterises the trend of AVN following time-limited high-dose CCS administration in patients who had severe COVID-19, discussing management strategies and outcomes. METHODS: This systematic review was conducted according to the 2020 PRISMA statement. In October 2023, the following databases were accessed: PubMed, Web of Science, Google Scholar, and Scopus restricting the search to the years 2019 to 2023. All the clinical studies which investigated the association between time-limited high-dose CCS administration in patients with severe COVID-19 infection and AVN were accessed. RESULTS: A total of 245 patients (9 studies) who experienced AVN following COVID-19 were included in the present investigation. 26% (63 of 245 included patients) were women. The mean age of the patients was 42.9 ± 17.7 years. Four studies focused on AVN of the hip and two on the knee, and the other studies included patients with AVN from mixed areas of the body (spine, pelvis, and shoulder). The mean time elapsed from COVID-19 infection to the development of symptomatic AVN was 79.4 ± 59.2 days (range, 14 to 166 days). CONCLUSION: It is possible that even time-limited high-dose CCS administration in patients with severe COVID-19 infection increased the incidence of AVN. The mean time elapsed from COVID-19 infection to the development of symptomatic AVN was approximately 80 days. Given the high risk of bias in all the included studies, the quality of recommendations of the present investigation is low, and no reliable conclusion can be inferred.

Artificial intelligence-based orthopaedic perpetual design.

Background and aims: Integrating Artificial Intelligence (AI) methodologies in orthopaedic surgeries is becoming increasingly important as it optimises implant designs and treatment procedures. This research article introduces an innovative approach using an AI-driven algorithm, focusing on the humerus bone anatomy. The primary focus of this work is to determine implant dimensions tailored to individual patients. Methodology: We have utilised Python's DICOM library, which extracts rich information from medical images obtained through CT and MRI scans. The algorithm generates precise three-dimensional reconstructions of the bone, enabling a comprehensive understanding of its morphology. Results: Using algorithms that reconstructed 3D bone models to propose optimal implant geometries that adhere to patients' unique anatomical intricacies and cater to their functional requirements. Integrating AI techniques promotes enhanced implant designs that facilitate enhanced integration with the host bone, promoting improved patient outcomes. Conclusion: A notable breakthrough in this research is the ability of the algorithm to predict implant physical dimensions based on CT and MRI data. The algorithm can infer implant specifications that align with patient-specific bone characteristics by training the AI model on a diverse dataset. This approach could revolutionise orthopaedic surgery, reducing patient waiting times and the duration of medical interventions.