Bibliometric analysis of orthopaedic related publications by Indian authors from the last decade

PurposeBibliometric studies have been established methods of analysing publications on a particular topic. These studies have been done on various orthopaedic topics and are increasing. The advantages of these studies have been highlighted in previous publications. Although some studies have been done on Indian publications from other specialties, those analysing Indian Orthopaedic Publications are lacking.MethodsWe performed a search in Scopus to look for all publications related to orthopaedics from India. Our search strategy in Scopus included ((TITLE-ABS-KEY(Orthopaedics OR Orthopaedics) AND AFFIL(India)) AND PUBYEAR > 2009 AND PUBYEAR < 2020) which resulted in 3270 articles on 02/11/2021. We analyzed the most publishing universities, city, state, specialty, authors, and anatomic location of these publications. We also mined the data to draw word clouds based on data obtained from the titles of articles, keywords and the affiliations of each of the articles published.ResultsTamil Nadu and New Delhi and their institutes appear to be the epicenter of publication activities in Orthopaedics in India. There has been a healthy trend of growth of articles in the orthopaedic specialty. Since there is a significant overlap of technology and engineering, it is not surprising to see engineering and technology institutes among the top 10 published institutes and even journals for the publications on orthopaedics.ConclusionThere has been a steady increase in the number of publications in the last decade. New Delhi and its Universities and Institutes appear to contribute the majority of citations and publications related to orthopaedics. Journal of Clinical Orthopaedics and Trauma was the most publishing journal for Indian authors on Orthopaedic related articles.     

Reproducibility of LI-RADS treatment response algorithm for hepatocellular carcinoma after locoregional therapy

PurposeTo determine inter-reader agreement in categorizing hepatocellular carcinoma (HCC) treated with locoregional therapy using the Liver Imaging Reporting and Data System (LI-RADS) treatment response (LR-TR) algorithm.Materials and methodsA total of 93 patients with a total of 112 HCC nodules that were treated using thermal ablation or transarterial chemoembolization were prospectively included. There were 79 men and 14 women with a mean age of 55 ± 2.6 (SD) years (range: 48–63 years). All patients underwent magnetic resonance imaging (MRI) examination of the liver and MR images were analyzed by two independent observers. Treated HCC nodules were categorized into four groups according to LR-TR scoring system including: (i) LR-TR non-evaluable (treated, response not evaluable); (ii) LR-TR nonviable (treated, probably or definitively not viable); (iii) LR-TR equivocal (treated, equivocally viable) and (iv) LR-TR viable (treated, probably or definitively viable). The inter-observer agreement in LR-TR categorization was assessed using the kappa statistics.ResultsThere was excellent inter-observer agreement between the two reviewers for overall treated HCC according to LR-TR algorithm (kappa = 0.938; 95% CI: 0.89–1.00; P = 0.001) with 97.31% agreement. The LR-TR categories by both reviewers were non-viable (77/112; 69.6% and 76/112; 67.9%), viable (30/112; 26.8% and 32/112; 27.7%) and equivocal (5/112; 4.4% and 4/112; 3.6%). There was excellent inter-observer agreement for LR-TR nonviable (kappa = 0.938; 95% CI: 0.87–1.0; P = 0.001) with 97.3% agreement, LR-TR viable (kappa = 0.955; 95% CI: 0.89–1.00; P = 0.001) with 98.2% agreement and good inter-observer agreement for LR-TR equivocal (kappa = 0.700; 95% CI: 0.28–1.0; P = 0.001) with 97.3% agreement.ConclusionLR-TR algorithm conveys high degrees of inter-observer agreement for the evaluation of treatment response of HCC after thermal ablation and transarterial chemoembolization.     

The 12th International Food Data Conference (IFDC): From food composition to better policies and programmes in nutrition and agriculture

The 12th International Food Data Conference (IFDC) was held in Buenos Aires, Argentina, from 11 to 13 October 2017. It was organized by Instituto Nacional de Investigaciones Biológica and International Network of Data System/FAO (INSIBIO and INFOODS/FAO) as a pre-conference of the 21th International Congress of Nutrition (ICN2017). The theme was “From Food Composition to Better Policies and Programmes in Nutrition and Agriculture”. A total of 152 delegates from 37 countries participated in the Conference. The programme included one keynote address, 46 oral presentations and 82 poster displays. The conference programme along with the Power Point files of the oral presentations are available on the conference website (http://www.ifdc2017.com/). The Conference was very successful, with high-quality scientific oral presentations and posters, and very satisfactory participation. The participants were able to exchange knowledge and personal experiences, and develop new ideas while discussing current research and other matters.     

Avoidable hospitalisation for diabetes mellitus among immigrants and natives: Results from the Italian Network for Longitudinal Metropolitan Studies

Background and aimsItaly has experienced a relevant increase in migration inflow over the last 20 years. Although the Italian Health Service is widely accessible, immigrants can face many barriers that limit their use of health services. Diabetes mellitus (DM) has a different prevalence across ethnic groups, but studies focusing on DM care among immigrants in Europe are scarce. This study aimed to compare the rates of avoidable hospitalisation (AH) between native and immigrant adults in Italy.Methods and resultsA multi-centre open cohort study including all 18- to 64-year-old residents in Turin, Venice, Reggio-Emilia, Modena, Bologna and Rome between 01/01/2001 and 31/12/2013–14 was conducted. Italian citizens were compared with immigrants from high migratory pressure countries who were further divided by their area of origin. We calculated age-, sex- and calendar year-adjusted rate ratios (RRs) and 95% confidence intervals (95% CIs) of AH for DM by citizenship using negative binomial regression models. The RRs were summarized using a random effects meta-analysis. The results showed higher AH rates among immigrant males (RR: 1.63, 95% CI: 1.16–2.23), whereas no significant difference was found for females (RR: 1.14, 95% CI: 0.65–1.99). Immigrants from Asia and Africa showed a higher risk than Italians, whereas those from Central-Eastern Europe and Central-Southern America did not show any increased risk.ConclusionAdult male immigrants were at higher risk of experiencing AH for DM than Italians, with differences by area of origin, suggesting that they may experience lower access to and lower quality of primary care for DM. These services should be improved to reduce disparities.