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Ypei Gia NR, Sampaio CS, Higashi C, Sakamoto A, Hirata R. The injectable resin composite restorative technique: A case report. J ESTHET RESTOR DENT 2020; 33:404-414. [PMID: 32918395 DOI: 10.1111/jerd.12650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/31/2020] [Accepted: 08/16/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To describe the use of the injectable resin composite restorative technique with a flowable resin material, in a clinical case with esthetic problems associated with irregular tooth anatomies, allied with a finishing, and polishing protocol due to staining after 1 year of use. CLINICAL CONSIDERATIONS The presented case report helped to achieve an immediate highly esthetic restoration with appropriate width proportions based on a previous wax-up. After 1 year of use, restorations presented staining; therefore, finishing and polishing procedures were required to re-achieve acceptable esthetic results and thus increase restoration's survival. CONCLUSIONS The use of the presented technique allowed to obtain a simple and predictable workflow; however, care must be taken on the follow up of the restorations due to intrinsic characteristics of the flowable resin material. CLINICAL SIGNIFICANCE The use of the presented injectable technique helped on obtaining a precise anatomy replicating a diagnostic wax-up, thus improving marginal precision and achieving a highly esthetic and functional immediate outcome, with an easy workflow when appropriately planned and executed. However, it also presented low color stability after 1 year of use only, thus, requiring attention from clinicians in regard to its maintenance over time.
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Affiliation(s)
| | | | | | | | - Ronaldo Hirata
- Department of Biomaterials and Biomimetics, NYU College of Dentistry, New York, New York, USA
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Podder V, Dhakal B, Shaik GUS, Sundar K, Sivapuram MS, Chattu VK, Biswas R. Developing a Case-Based Blended Learning Ecosystem to Optimize Precision Medicine: Reducing Overdiagnosis and Overtreatment. Healthcare (Basel) 2018; 6:E78. [PMID: 29996517 PMCID: PMC6163835 DOI: 10.3390/healthcare6030078] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/03/2018] [Accepted: 07/06/2018] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION Precision medicine aims to focus on meeting patient requirements accurately, optimizing patient outcomes, and reducing under-/overdiagnosis and therapy. We aim to offer a fresh perspective on accuracy driven “age-old precision medicine” and illustrate how newer case-based blended learning ecosystems (CBBLE) can strengthen the bridge between age-old precision approaches with modern technology and omics-driven approaches. METHODOLOGY We present a series of cases and examine the role of precision medicine within a “case-based blended learning ecosystem” (CBBLE) as a practicable tool to reduce overdiagnosis and overtreatment. We illustrated the workflow of our CBBLE through case-based narratives from global students of CBBLE in high and low resource settings as is reflected in global health. RESULTS Four micro-narratives based on collective past experiences were generated to explain concepts of age-old patient-centered scientific accuracy and precision and four macro-narratives were collected from individual learners in our CBBLE. Insights gathered from a critical appraisal and thematic analysis of the narratives were discussed. DISCUSSION AND CONCLUSION Case-based narratives from the individual learners in our CBBLE amply illustrate their journeys beginning with “age-old precision thinking” in low-resource settings and progressing to “omics-driven” high-resource precision medicine setups to demonstrate how the approaches, used judiciously, might reduce the current pandemic of over-/underdiagnosis and over-/undertreatment.
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Affiliation(s)
- Vivek Podder
- Department of Internal Medicine, Tairunnessa Memorial Medical College, Gazipur 1704, Bangladesh.
| | - Binod Dhakal
- Division of Hematology/Oncology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
| | - Gousia Ummae Salma Shaik
- Department of Internal Medicine, Kamineni Institute of Medical Sciences, Narketpally 508254, India.
| | - Kaushik Sundar
- Department of Neurology, Rajagiri Hospital, Chunanangamvely, Aluva 683112, India.
| | - Madhava Sai Sivapuram
- Department of Internal Medicine, Dr. Pinnamaneni Siddhartha Institute of Medical Sciences and Research Foundation, Chinaoutapalli 521101, India.
| | - Vijay Kumar Chattu
- Department of Paraclinical Sciences, Faculty of Medical Sciences, The University of the West Indies, St. Augustine 0000, Trinidad and Tobago.
| | - Rakesh Biswas
- Department of Internal Medicine, Kamineni Institute of Medical Sciences, Narketpally 508254, India.
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Li L, Catalá-López F, Alonso-Arroyo A, Tian J, Aleixandre-Benavent R, Pieper D, Ge L, Yao L, Wang Q, Yang K. The Global Research Collaboration of Network Meta-Analysis: A Social Network Analysis. PLoS One 2016; 11:e0163239. [PMID: 27685998 PMCID: PMC5042468 DOI: 10.1371/journal.pone.0163239] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 08/08/2016] [Indexed: 01/15/2023] Open
Abstract
Background and Objective Research collaborations in biomedical research have evolved over time. No studies have addressed research collaboration in network meta-analysis (NMA). In this study, we used social network analysis methods to characterize global collaboration patterns of published NMAs over the past decades. Methods PubMed, EMBASE, Web of Science and the Cochrane Library were searched (at 9th July, 2015) to include systematic reviews incorporating NMA. Two reviewers independently selected studies and cross-checked the standardized data. Data was analyzed using Ucinet 6.0 and SPSS 17.0. NetDraw software was used to draw social networks. Results 771 NMAs published in 336 journals from 3459 authors and 1258 institutions in 49 countries through the period 1997–2015 were included. More than three-quarters (n = 625; 81.06%) of the NMAs were published in the last 5-years. The BMJ (4.93%), Current Medical Research and Opinion (4.67%) and PLOS One (4.02%) were the journals that published the greatest number of NMAs. The UK and the USA (followed by Canada, China, the Netherlands, Italy and Germany) headed the absolute global productivity ranking in number of NMAs. The top 20 authors and institutions with the highest publication rates were identified. Overall, 43 clusters of authors (four major groups: one with 37 members, one with 12 members, one with 11 members and one with 10 members) and 21 clusters of institutions (two major groups: one with 62 members and one with 20 members) were identified. The most prolific authors were affiliated with academic institutions and private consulting firms. 181 consulting firms and pharmaceutical industries (14.39% of institutions) were involved in 199 NMAs (25.81% of total publications). Although there were increases in international and inter-institution collaborations, the research collaboration by authors, institutions and countries were still weak and most collaboration groups were small sizes. Conclusion Scientific production on NMA is increasing worldwide with research leadership of Western countries (most notably, the UK, the USA and Canada). More authors, institutions and nations are becoming involved in research collaborations, but frequently with limited international collaborations.
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Affiliation(s)
- Lun Li
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China
- * E-mail:
| | - Ferrán Catalá-López
- Department of Medicine, University of Valencia/ INCLIVA Health Research Institute and CIBERSAM, Valencia, Spain
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Adolfo Alonso-Arroyo
- Department of History of Science and Documentation, University of Valencia, Valencia, Spain
| | - Jinhui Tian
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China
| | | | - Dawid Pieper
- Institute for Research in Operative Medicine, Department for Evidence-Based Health Services Research, Witten/Herdecke University, Cologne, Germany
| | - Long Ge
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China
| | - Liang Yao
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China
| | - Quan Wang
- Department of Gastrointestinal Surgery, Xijing Hospital of Digestive Diseases, Xijing Hospital, Four Military Medical University, Xi'an, Shaanxi, China
| | - Kehu Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China
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