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Background Non-alcoholic fatty liver disease (NAFLD) is a common disease of the digestive system. With the improvements of living standards and breakthroughs in viral hepatitis research, NAFLD has replaced viral hepatitis as the most common chronic liver disease. Guidance documents can provide clinical staff with standard and reliable diagnosis and treatment approaches. The screening and development of high-quality guidance documents is of great importance to standardise the clinical practice of NAFLD. Objective To analyze the methodological quality and reporting quality of guidance documents for NAFLD, summarize and compare the recommendations, so as to provide a reference for the development and report of future guidelines for NAFLD. Methods PubMed, CNKI, CBM, Wanfang Data Knowledge Service Platform, VIP Database were searched for clinical guidelines and consensuses on NAFLD supplemented by WHO, GIN, NICE, SIGN and Medlive from 2012-01-01 to 2022-01-01. Two researchers in the field of liver disease screened the literature, extracted the data and independently evaluated the methodological quality and reporting quality of the included guideline documents using AGREE Ⅱ and RIGHT, respectively. The recommendations of the higher quality guideline documents were collated and compared by the two researchers. Results A total of 19 publications were enrolled, including 12 guidelines and 7 consensuses; 6 in Chinese and 13 in English; 10 of which were developed using an evidence-based approach. The average scores for each domain of AGREE Ⅱ were 42.84% for scope and purpose, 31.43% for participants, 31.25% for rigour, 60.67% for clarity, 32.68% for application and 37.50% for independence. The average scores of RIGHT in each area were 59.65% for basic information, 66.12% for background, 42.11% for evidence, 39.85% for recommendations, 17.11% for review and quality assurance, 18.42% for funding and conflict of interest statement and management, 47.37% for other aspects. The average scores in AGREEⅡ and reporting qualities in RIGHT of evidence-based guidance documents were both higher than non-evidence-based guidance documents. The average scores in AGREEⅡ and reporting qualities in RIGHT of foreign guidance documents were higher than domestic guidance documents. The main recommendations relate to screening and diagnosis, assessment, management (non-pharmacologic and pharmacologic treatment) and surgical treatment. Conclusion The methodological quality and reporting quality of the published guidance documents for NAFLD still need to be improved, and there are still gaps between domestic guidance documents and international guidance documents. The development of TCM guidance documents should follow an evidence-based approach. Further reference should be made to international standards such as AGREE Ⅱ and RIGHT in the development and reporting of guidelines. Clinical screening awareness for high-risk population of NAFLD and a comprehensive system for early non-invasive diagnosis and assessment should be established. Multidimensional treatment plans for lifestyle, liver function and metabolic disorders should be provided for patients with NAFLD.

Artificial intelligence (AI) powered drug development has received remarkable attention in recent years. It addresses the limitations of traditional experimental methods that are costly and time-consuming. While there have been many surveys attempting to summarize related research, they only focus on general AI or specific aspects such as natural language processing and graph neural network. Considering the rapid advance on computer vision, using the molecular image to enable AI appears to be a more intuitive and effective approach since each chemical substance has a unique visual representation. In this paper, we provide the first survey on image-based molecular representation for drug development. The survey proposes a taxonomy based on the learning paradigms in computer vision and reviews a large number of corresponding papers, highlighting the contributions of molecular visual representation in drug development. Besides, we discuss the applications, limitations and future directions in the field. We hope this survey could offer valuable insight into the use of image-based molecular representation learning in the context of drug development. [ABSTRACT FROM AUTHOR]

Four main chain polymeric metal complexes (P1-P4) based on 1,10-phenanthroline metal complexes via the Heck coupling have been synthesized and characterized by Fourier transform infrared spectroscopy, 1H NMR, UV-Vis absorption, photoluminescence spectroscopy, gel permeation chromatography, thermogravimetric analysis, differential scanning calorimetry, elemental analysis, and cyclic voltammetry. To investigate their photovoltaic properties, the dye-sensitized solar cells based on these polymers dyes are studied, under the illumination of AM 1.5G, 100 mW/cm2. The study results show the four polymers exhibit good thermally stable and the solar cells based on them have good device performance, and the maximum power conversion efficiency is up to 0.735% for the solar cells based on P3 with a short-circuit current ( Jsc) of 1.68 mA/cm2 and an open-circuit voltage ( Voc) of 0.62 V. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]