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      Infectious keratitis: an update on epidemiology, causative microorganisms, risk factors, and antimicrobial resistance

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          Abstract

          Corneal opacity is the 5th leading cause of blindness and visual impairment globally, affecting ~6 million of the world population. In addition, it is responsible for 1.5–2.0 million new cases of monocular blindness per year, highlighting an ongoing uncurbed burden on human health. Among all aetiologies such as infection, trauma, inflammation, degeneration and nutritional deficiency, infectious keratitis (IK) represents the leading cause of corneal blindness in both developed and developing countries, with an estimated incidence ranging from 2.5 to 799 per 100,000 population-year. IK can be caused by a wide range of microorganisms, including bacteria, fungi, virus, parasites and polymicrobial infection. Subject to the geographical and temporal variations, bacteria and fungi have been shown to be the most common causative microorganisms for corneal infection. Although viral and Acanthamoeba keratitis are less common, they represent important causes for corneal blindness in the developed countries. Contact lens wear, trauma, ocular surface diseases, lid diseases, and post-ocular surgery have been shown to be the major risk factors for IK. Broad-spectrum topical antimicrobial treatment is the current mainstay of treatment for IK, though its effectiveness is being challenged by the emergence of antimicrobial resistance, including multidrug resistance, in some parts of the world. In this review, we aim to provide an updated review on IK, encompassing the epidemiology, causative microorganisms, major risk factors and the impact of antimicrobial resistance.

          摘要

          角膜混浊是全球致盲和视力障碍的第五大原因, 世界范围内大约600万人受其影响。此外, 角膜混浊每年导致的单眼失明约150-200万例, 突显其对人类健康造成的持久性负担。在感染、创伤、炎症、变性和营养缺乏等所有的致病因素中, 感染性角膜炎 (IK) 是发达国家和发展中国家角膜病致盲的主要原因, 大概每100000人口中2.5-799人罹患此病。IK可由多种微生物引起, 包括细菌、真菌、病毒、寄生虫和多重感染。受地理和时间变化的影响, 细菌和真菌已被证明是角膜感染最常见的病原微生物。虽然病毒性角膜炎和棘阿米巴角膜炎并不常见, 但在发达国家, 它们是角膜病致盲的重要原因。接触镜的佩戴、外伤、眼表疾病、眼睑疾病以及眼部手术已证实是IK的主要危险因素。广谱抗生素是目前IK治疗的主要选择, 但是在世界某些地区, 其有效性正在受到抗菌药物耐药性的挑战, 其中包含多重耐药性等。本篇综述旨在提供有关IK的最新进展, 包括流行病学、病原微生物、主要危险因素以及抗生素耐药性对于疗效的影响。

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          Rayyan—a web and mobile app for systematic reviews

          Background Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. We developed Rayyan (http://rayyan.qcri.org), a free web and mobile app, that helps expedite the initial screening of abstracts and titles using a process of semi-automation while incorporating a high level of usability. For the beta testing phase, we used two published Cochrane reviews in which included studies had been selected manually. Their searches, with 1030 records and 273 records, were uploaded to Rayyan. Different features of Rayyan were tested using these two reviews. We also conducted a survey of Rayyan’s users and collected feedback through a built-in feature. Results Pilot testing of Rayyan focused on usability, accuracy against manual methods, and the added value of the prediction feature. The “taster” review (273 records) allowed a quick overview of Rayyan for early comments on usability. The second review (1030 records) required several iterations to identify the previously identified 11 trials. The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. Post rollout user experiences and a reflexive response by the developers enabled real-time modifications and improvements. The survey respondents reported 40% average time savings when using Rayyan compared to others tools, with 34% of the respondents reporting more than 50% time savings. In addition, around 75% of the respondents mentioned that screening and labeling studies as well as collaborating on reviews to be the two most important features of Rayyan. As of November 2016, Rayyan users exceed 2000 from over 60 countries conducting hundreds of reviews totaling more than 1.6M citations. Feedback from users, obtained mostly through the app web site and a recent survey, has highlighted the ease in exploration of searches, the time saved, and simplicity in sharing and comparing include-exclude decisions. The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users. Conclusions Rayyan is responsive and intuitive in use with significant potential to lighten the load of reviewers.
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            Antibiotic resistance-the need for global solutions.

            The causes of antibiotic resistance are complex and include human behaviour at many levels of society; the consequences affect everybody in the world. Similarities with climate change are evident. Many efforts have been made to describe the many different facets of antibiotic resistance and the interventions needed to meet the challenge. However, coordinated action is largely absent, especially at the political level, both nationally and internationally. Antibiotics paved the way for unprecedented medical and societal developments, and are today indispensible in all health systems. Achievements in modern medicine, such as major surgery, organ transplantation, treatment of preterm babies, and cancer chemotherapy, which we today take for granted, would not be possible without access to effective treatment for bacterial infections. Within just a few years, we might be faced with dire setbacks, medically, socially, and economically, unless real and unprecedented global coordinated actions are immediately taken. Here, we describe the global situation of antibiotic resistance, its major causes and consequences, and identify key areas in which action is urgently needed. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis.

              Contemporary data for causes of vision impairment and blindness form an important basis of recommendations in public health policies. Refreshment of the Global Vision Database with recently published data sources permitted modelling of cause of vision loss data from 1990 to 2015, further disaggregation by cause, and forecasts to 2020.
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                Author and article information

                Contributors
                profdua@gmail.com
                Journal
                Eye (Lond)
                Eye (Lond)
                Eye
                Nature Publishing Group UK (London )
                0950-222X
                1476-5454
                7 January 2021
                7 January 2021
                April 2021
                : 35
                : 4
                : 1084-1101
                Affiliations
                [1 ]GRID grid.4563.4, ISNI 0000 0004 1936 8868, Academic Ophthalmology, Division of Clinical Neuroscience, School of Medicine, , University of Nottingham, ; Nottingham, UK
                [2 ]GRID grid.415598.4, ISNI 0000 0004 0641 4263, Department of Ophthalmology, , Queen’s Medical Centre, ; Nottingham, UK
                Author information
                http://orcid.org/0000-0003-1081-1141
                http://orcid.org/0000-0003-1131-1448
                http://orcid.org/0000-0002-4683-6917
                Article
                1339
                10.1038/s41433-020-01339-3
                8102486
                33414529
                361c615c-2e0b-4d56-9447-5aa1ce9c83d5
                © The Author(s) 2021, corrected publication 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 July 2020
                : 22 October 2020
                : 24 November 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000265, RCUK | Medical Research Council (MRC);
                Award ID: MR/T001674/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000615, Fight for Sight UK;
                Award ID: MR/T001674/1
                Award Recipient :
                Categories
                Review Article
                Custom metadata
                © The Author(s), under exclusive licence to The Royal College of Ophthalmologists 2021

                Vision sciences
                corneal diseases,epidemiology,risk factors
                Vision sciences
                corneal diseases, epidemiology, risk factors

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