Antimicrobial polyacrylic acid/tannic acid hydrogel wound dressing facilitating full-thickness skin healing.

Polyphenolic compound-modified hydrogel wound dressings with excellent wet tissue adhesion, antimicrobial properties, stretchability, and full-thickness skin healing properties are still extremely rare so far. Polyphenolic compounds such as tannic acid or dopamine can improve the antibacterial and bioadhesive properties of hydrogels, and are also polymerization inhibitors for free radical polymerization. In this study, polyacrylic acid (PAA) aqueous solution was first synthesized, and then antibacterial PAA-TA hydrogel was prepared by mixing it with tannic acid (TA) and the crosslinker 1,6-hexanediol bis(2-methyl-1-propionic acid azide) (HBMAP). This method avoids the hindrance of the phenolic hydroxyl groups in TA on acrylic acid polymerization, and we were able to obtain a series of TA hydrogels (in the range of 0-15 wt.%. We applied these PAA-TA hydrogels to wound dressings and found that they had excellent adhesion to biological tissues, and the tensile strength and elongation at break of PAA-TA hydrogels with 15 wt.%TA content were as high as 1.72 MPa and 1446.3% in tensile strength evaluation. In addition, microbiological analysis showed that wound dressings had significant antimicrobial activity against Staphylococcus aureus and Escherichia coli. In vitro wound healing experiments confirmed that the wound dressing was biocompatible and could significantly promote the healing of full-thickness skin defects in the guinea pig model. Our work describes an injectable, self-healing, antimicrobial hydrogel that may have promising clinical applications as a wound dressing material.

Efficacy and Safety of Ketamine to Treat Cancer Pain in Adult Patients: A Systematic Review.

CONTEXT: Ketamine is a well-characterized anesthetic agent, and subanesthetic ketamine possesses analgesic effects in both acute and chronic pain. OBJECTIVES: A systematic review was performed to ascertain the efficacy and safety of ketamine in treating pain for cancer patients. METHODS: Eight databases were searched from the inception to March 20th, 2023 to obtain randomized controlled trials (RCTs) on ketamine for treating pain in cancer patients. Two reviewers independently screened studies, extracted the data and assessed the risk of bias of included studies; then, meta-analysis was performed by using Revman 5.3 software and Stata 14.0 software. RESULTS: Thirty-five studies were included, involving 2279 patients with cancer pain. The results of meta-analysis showed that ketamine could significantly reduce pain intensity. Subgroup analysis revealed that, when compared with control group, ketamine decreased markedly visual analogue scale (VAS) scores in two days after the end of treatment with ketamine, and ketamine administrated by patient controlled epidural analgesia (PCEA) was effective. Meanwhile, ketamine could significantly reduce the number of patient-controlled analgesia (PCA) compressions within 24 hours and morphine dosage. Ketamine could not decrease Ramsay sedation score. Additionally, the adverse events significantly decreased in the ketamine group, including nausea and vomiting, constipation, pruritus, lethargy, uroschesis, hallucination, and respiratory depression. In addition, compared with the control group, ketamine could reduce Hamilton depression scale (HAMD) score and relieve depressive symptoms. CONCLUSION: Ketamine may be used as an effective therapy to relieve cancer pain. However, more rigorously designed RCTs with larger sample sizes are required to verify the above conclusions.

Correction: Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review.

[This corrects the article DOI: 10.2196/46089.].

Development of a core outcome set for cardiovascular diabetology: a methodological framework.

Background: Cardiovascular diabetology is an emergent field focusing on all aspects of diabetes/cardiovascular interrelationship and metabolic syndrome. High-quality evidence needs to be provided to determine the efficacy and safety of interventions in cardiovascular diabetology. The heterogeneity of outcomes among trials limits the comparison of results, and some outcomes are not always meaningful to end-users. The cardiovascular diabetology core outcome set (COS) study aims to develop a COS of interventions for cardiovascular diabetology. In this paper, we introduce the methodological framework for developing the COS. Methods: The COS development will include the following steps: (a) establish the COS groups of stakeholders, including international steering committee, Delphi survey group, and consensus meeting group; (b) systematic reviews of outcomes used in trials of cardiovascular diabetology; (c) semistructured interview of stakeholders for outcomes of cardiovascular diabetology; (d) generate a list of candidate outcomes and determine the original outcome pool; (e) Delphi survey with stakeholders of cardiovascular diabetology to select potential core outcomes; and (f) review and endorse the cardiovascular diabetology COS by expert consensus meeting. Conclusions: This current study reports the methodological framework to develop a COS in cardiovascular diabetology and will provide evidence for the future development of COS in cardiovascular diabetology.

Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review.

BACKGROUND: The application of artificial intelligence (AI) in the delivery of health care is a promising area, and guidelines, consensus statements, and standards on AI regarding various topics have been developed. OBJECTIVE: We performed this study to assess the quality of guidelines, consensus statements, and standards in the field of AI for medicine and to provide a foundation for recommendations about the future development of AI guidelines. METHODS: We searched 7 electronic databases from database establishment to April 6, 2022, and screened articles involving AI guidelines, consensus statements, and standards for eligibility. The AGREE II (Appraisal of Guidelines for Research & Evaluation II) and RIGHT (Reporting Items for Practice Guidelines in Healthcare) tools were used to assess the methodological and reporting quality of the included articles. RESULTS: This systematic review included 19 guideline articles, 14 consensus statement articles, and 3 standard articles published between 2019 and 2022. Their content involved disease screening, diagnosis, and treatment; AI intervention trial reporting; AI imaging development and collaboration; AI data application; and AI ethics governance and applications. Our quality assessment revealed that the average overall AGREE II score was 4.0 (range 2.2-5.5; 7-point Likert scale) and the mean overall reporting rate of the RIGHT tool was 49.4% (range 25.7%-77.1%). CONCLUSIONS: The results indicated important differences in the quality of different AI guidelines, consensus statements, and standards. We made recommendations for improving their methodological and reporting quality. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews (CRD42022321360); https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=321360.

Enhanced Recovery after Surgery in patients undergoing total joint arthroplasty: A retrospective study.

Objective: Enhanced Recovery after Surgery (ERAS) protocol has been developed and practiced for various surgical procedures to improve outcomes in the postoperative period. We hereby present our experience of ERAS for a large cohort of patients undergoing total joint arthroplasty (TJA). Methods: We implemented the ERAS program at The Third Affiliated Hospital of Shanghai University from January 2020 and retrospectively compared outcomes of patients undergoing total knee or hip arthroplasty before and after the implementation of the program. ERAS protocol consisted of the use of patient education, blood management, multimodal analgesia, antiemetics, shorter fasting time, no patient-controlled analgesia, early physical therapy, and reduced use of catheters and drains. Results: There were 94 patients in the study group (ERAS) and 113 patients in the control group (non-ERAS). We noted a statistically significant reduction in the incidence of postoperative nausea/vomiting, lowered pain scores, reduced length of hospital stay and better functional outcomes with both total knee and hip arthroplasties in our study cohort. Conclusion: ERAS protocol can bae effectively implemented for patients undergoing TJA. The use of ERAS leads to better postoperative outcomes and shortened hospital stay.

Prolonged exposure of neonatal mice to sevoflurane leads to hyper-ramification in microglia, reduced contacts between microglia and synapses, and defects in adult behavior.

Background: Prolonged exposure to general anesthetics during development is known to cause neurobehavioral abnormalities, but the cellular and molecular mechanisms involved are unclear. Microglia are the resident immune cells in the central nervous system and play essential roles in normal brain development. Materials and methods: In the study, postnatal day 7 (P7) C57BL/6 mice were randomly assigned to two groups. In the sevoflurane (SEVO), mice were exposed to 2.5% sevoflurane for 4 h. In the control group, mice were exposed to carrier gas (30% O2/70% N2) for 4 h. Fixed brain slices from P14 to P21 mice were immunolabeled for ionized calcium-binding adapter molecule 1 (IBA-1) to visualize microglia. The morphological analysis of microglia in the somatosensory cortex was performed using ImageJ and Imaris software. Serial block face scanning electron microscopy (SBF-SEM) was performed to assess the ultrastructure of the microglia and the contacts between microglia and synapse in P14 and P21 mice. The confocal imaging of brain slices was performed to assess microglia surveillance in resting and activated states in P14 and P21 mice. Behavioral tests were used to assess the effect of microglia depletion and repopulation on neurobehavioral abnormalities caused by sevoflurane exposure. Results: The prolonged exposure of neonatal mice to sevoflurane induced microglia hyper-ramification with an increase in total branch length, arborization area, and branch complexity 14 days after exposure. Prolonged neonatal sevoflurane exposure reduced contacts between microglia and synapses, without affecting the surveillance of microglia in the resting state or responding to laser-induced focal brain injury. These neonatal changes in microglia were associated with anxiety-like behaviors in adult mice. Furthermore, microglial depletion before sevoflurane exposure and subsequent repopulation in the neonatal brain mitigated anxiety-like behaviors caused by sevoflurane exposure. Conclusion: Our experiments indicate that general anesthetics may harm the developing brain, and microglia may be an essential target of general anesthetic-related developmental neurotoxicity.

Evidence mapping of clinical practice guidelines recommendations and quality for depression in children and adolescents.

This study systematically reviewed the clinical practice guidelines (CPGs) for depression in children and adolescents and assessed the quality and recommendation consistency of those CPGs. Evidence mapping was presented to illustrate the research trends and identify gaps to guide future research. Literature on CPGs for depression was systematically collected from PubMed, Embase, Web of Science, guideline databases, and psychiatric association/ society websites. The basic information, recommendations, methodological quality, and reporting quality of CPGs were extracted, and the supporting evidence strength for the included CPGs was analyzed in Excel. Four appraisers independently assessed the eligible CPGs using AGREE II instrument and the RIGHT checklist. All recommendations from the CPGs were summarized and analyzed, and the evidence mapping bubble charts were plotted in Excel. After excluding 15,184 records, 12 depression CPGs were eventually proved eligible, six of which were of high quality and six medium quality. A total of 39 major recommendations were summarized, 35 of which were supported by high-quality CPGs. Although direct comparisons are challenging due to differences in grading schemes and research quality, most CPGs share many pivotal recommendations that can help guide clinical practice. However, the evidence for some clinical problems is still lacking. Thus, more research is necessary on the screening and treatment of children and adolescents to put forward more evidence-based and high-quality recommendations.

High-impact papers in the field of anesthesiology: a 10-year cross-sectional study.

PURPOSE: This study was performed to evaluate trends in and provide future direction for anesthesiology education, research, and clinical practice. METHODS: We collected high-impact papers, ranking in the top 10% in the field of anesthesiology and published from 2011 to 2020, by the InCites tool based on the Web of Science Core Collection. We analyzed the trends, locations, distribution of subject categories, research organizations, collaborative networks, and subject terms of these papers. RESULTS: A total of 4,685 high-impact papers were included for analysis. The number of high-impact papers increased from 462 in 2011 to 520 in 2020. The paper with the highest value of category normalized citation impact (115.95) was published in Anesthesia and Analgesia in 2018. High-impact papers were mainly distributed in the subject categories of "Anesthesiology," "Clinical Neurology," "Neurosciences," and "Medicine General Internal." They were primarily cited in "Anesthesiology," "Clinical Neurology," "Neurosciences," "Medicine General Internal," and "Surgery." Most of these high-impact papers came from the USA, UK, Canada, Germany, and Australia. The most productive institutions were the League of European Research Universities, Harvard University, University of Toronto, University of London, University of California System, and University Health Network Toronto. Research collaboration circles have been formed in the USA, UK, and Canada. Subject-term analysis indicated postoperative analgesia, chronic pain, and perioperative complications were high-interest topics, and COVID-19 became a new hot topic in 2020. CONCLUSIONS: The current study provides a historical view of high-impact papers in anesthesiology in the past ten years. High-impact papers were mostly from the USA. Postoperative analgesia, chronic pain, and perioperative complications have been hot topics, and COVID-19 became a new topic in 2020. These findings provide references for education, research, and clinical practice in the field of anesthesiology.

RéSUMé: OBJECTIF: Cette étude a été réalisée pour évaluer les tendances et fournir une orientation future à l'enseignement, la recherche et la pratique clinique en anesthésiologie. MéTHODE: Nous avons colligé des articles à fort impact, classés dans le top 10 % dans le domaine de l'anesthésiologie et publiés de 2011 à 2020, par l'outil InCites basé sur la Web of Science Core Collection. Nous avons analysé les tendances, les emplacements, la répartition des catégories de sujets, les organismes de recherche, les réseaux de collaboration et les termes des sujets de ces articles. RéSULTATS: Au total, 4685 articles à fort impact ont été inclus pour analyse. Le nombre de manuscrits à fort impact est passé de 462 en 2011 à 520 en 2020. L'article ayant la valeur la plus élevée de l'impact normalisé des citations de catégorie (CNCI) (115,95) a été publié dans la revue Anesthesia and Analgesia en 2018. Les articles à fort impact ont été principalement distribués dans les catégories de thèmes « Anesthésiologie ¼, « Neurologie clinique ¼, « Neurosciences ¼ et « Médecine générale interne ¼. Ils ont été principalement cités dans les catégories « Anesthésiologie ¼, « Neurologie clinique ¼, « Neurosciences ¼, « Médecine générale interne ¼ et « Chirurgie ¼. La plupart de ces articles à fort impact provenaient des États-Unis, du Royaume-Uni, du Canada, d'Allemagne et d'Australie. Les établissements les plus productifs étaient la League of European Research Universities, l'Université Harvard, l'Université de Toronto, l'Université de Londres, l'Université de Californie System et le University Health Network de Toronto. Des cercles de collaboration en recherche ont été formés aux États-Unis, au Royaume-Uni et au Canada. L'analyse des termes indiquait que l'analgésie postopératoire, la douleur chronique et les complications périopératoires étaient des sujets suscitant un fort intérêt, et la COVID-19 est devenue un nouveau sujet brûlant en 2020. CONCLUSION: La présente étude propose une vue historique des articles à fort impact en anesthésiologie au cours des dix dernières années. Les manuscrits à fort impact provenaient principalement des États-Unis. L'analgésie postopératoire, la douleur chronique et les complications périopératoires ont été des sujets d'actualité, et la COVID-19 est devenue un nouveau sujet en 2020. Ces résultats fournissent des références pour la formation, la recherche et la pratique clinique dans le domaine de l'anesthésiologie.

Therapeutic approaches for improving cognitive function in the aging brain.

The rapid aging of populations around the world has become an unprecedented challenge. Aging is associated with cognitive impairment, including dementia and mild cognitive impairment. Successful drug development for improving or maintaining cognition in the elderly is critically important. Although 4 drugs for improving cognition in Alzheimer's disease have been approved, a variety of potential drugs targeting age-related cognitive impairment are still in development. In addition, non-pharmacological interventions, including cognition-oriented treatments, non-invasive brain stimulation physical exercise, and lifestyle-related interventions, have also been suggested as cognitive enhancers in the last decade. In this paper, we reviewed the recent evidence of pharmacological and non-pharmacological interventions aimed at improving or maintaining cognition in the elderly.

Efficacy and Safety of Iclaprim for the Treatment of Skin Structures and Soft Tissue Infections: A Methodological Framework.

Background: Skin and soft tissue infections (SSTIs) are among the most common infections worldwide. They manifest in a variety of forms, such as erysipelas, cellulitis, and necrotizing fasciitis. Antibiotics are the significant method for clinical treatment of SSTIs. This study reported a methodology framework to determine the efficacy and safety of iclaprim in treatment of SSTIs. Methods: We will search the PubMed, EMbase, CNKI, WanFang Data, VIP, and ClinicalTrials.gov from their inception to June 2022 for randomized controlled trials and cohort studies on iclaprim with SSTIs. Two authors will independently screen the eligible studies, assess the quality of the included papers, and extract the required information. Randomized controlled trials will be assessed using the Cochrane risk-of-bias tool. The Newcastle-Ottawa Scale will be used to evaluate observational studies. The quality of the evidence will be evaluated using the Grading of Recommendations Assessment Development and Evaluation system. RevMan 5.3 will be used for the data synthesis and quantitative analysis. Results and Discussions: This study will provide the clinicians with more high-quality evidence to choose iclaprim for patients with SSTIs. Ethics and Dissemination: This systematic review and meta-analysis will be based on published data, so ethical approval is not necessary. The results of this meta-analysis will be published in a peer-reviewed journal.

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model.

Neural network refers to an algorithmic mathematical model that imitates the behavioral characteristics of animal neural networks and performs distributed information processing. This kind of network depends on the complexity of the system and needs to adjust the internal node relationship, so as to achieve the purpose of processing information. With the continuous development of the economy, the transportation problem needs to be solved urgently, and the urban subway has emerged at the historic moment. The subway is a fast, large-capacity, electric-driven rail transit built in the city. The advantages of the subway provide conditions for the mitigation of urban traffic, due to the large number of cars, traffic jams, frequent accidents, and serious environmental pollution. In the city center, there are more cars and less space, and the parking lot is not commensurate with the number of cars, making parking difficult. This paper aims to study the intelligent performance evaluation of urban subway PPP projects based on deep neural network models. The subway project has a large investment, a long period, and a wide range, but the development time of the subway in China is relatively short. In order to promote the stable progress of subway projects, it is very necessary to conduct intelligent performance evaluation on subway projects. This paper compares and analyzes the basic characteristics of the PPP model and verifies the applicability and necessity of the PPP model in urban subway transportation projects. Through the investigation of relevant literature, this article puts forward the research content of the social impact assessment of subway projects. The experimental results of this paper show that, from the perspective of whether it is necessary to evaluate the performance of PPP projects, 65% of people think it is very necessary, and 22% think it is more necessary. 3% of people think it is unnecessary, and 10% of people hold an indifferent attitude. These data show that the intelligent performance evaluation of urban subway PPP projects has exploratory significance for urban infrastructure design and construction.

Global Burden Attributable to High Low-Density Lipoprotein-Cholesterol From 1990 to 2019.

Background: High low-density lipoprotein-cholesterol (LDL-C) is a public health issue contributing to ischemic heart disease (IHD) and stroke. Method: In this ecological study, we collected summary exposure values (SEVs), deaths, disability-adjusted life of years (DALYs), and Social Demographic Index (SDI) of high LDL-C from 1990 to 2019 using the query tool from the Global Burden of Disease (GBD) Collaborative Network. Outcomes include SEVs, deaths, and DALYs attributable to high LDL-C stratified by sex, age, region, SDI, countries, and territories. Estimated annual percentage changes (EAPCs) were applied to estimate annual trends of changes in these outcomes. We applied the weighted segmented regression with break-point estimation to detect the linear piecewise relationship between SDI and high LDL-C disease burden. Results: Globally, 3.00 million (95% uncertainty interval [UI], 2.35-3.76 million) people in 1990 and 4.40 million (95% UI, 3.30-5.65 million) people died from high LDL-C in 2019. The absolute annual burden from deaths and DALYs attributed to high LDL-C increased by 46% (95% UI, 35-56%) and 41% (95% UI, 31-50%) from 1990 to 2019. The age-standardized SEV, death, and DALY was decreased by 9% (95% UI, -11 to -8%), 37% (95% UI, -41-33%), and 32% (95% UI, -37 to -28%), respectively, during the study period. There was a negative association between SDI and high LDL-C-related age-standardized death and DALY rates when SDI surpassed 0.71 and 0.71, respectively. Conclusion: Although the overall age-standardized burden of high LDL-C is controlled in the past 30 years, it remains increasing in moderate SDI countries, and decreasing trends are disappearing in high SDI countries. New challenges require new actions stratified by countries with different SDI levels.

Emerging role of nanoparticles in the diagnostic imaging of gastrointestinal cancer.

Gastrointestinal (GI) cancer, which mainly includes tumors of the esophagus, stomach, liver, biliary system, pancreas, and colon, is one of the most common cancers and the dominant cause of cancer-related deaths globally. For the diagnosis of GI cancer, in addition to routine systemic imaging, such as computed tomography (CT), magnetic resonance imaging, and positron emission tomography-CT, locoregional imaging, which covers endoscopy and ultrasound, is also of great concern. However, the current mainstream contrast agents used in these imaging methods have poor specificity, short maintenance time, and severe side effects. In recent years, with the development of nanotechnology, nanoparticles, such as quantum dots, iron oxide nanoparticles, and gold nanoparticles, have offered many benefits in GI cancer imaging owing to their small size, customizable surface properties, and retention effect. An increasing number of studies have combined the traditional methods of imaging digestive tract tumors with nanoparticles, significantly improving the early diagnosis rate and staging accuracy. Here, we review the current evidence on the utilization of nanoparticles in the diagnostic imaging of GI tumors from the aspects mentioned above.

In-depth exploration and comparison of chemical constituents from two Lilium species through offline two-dimensional liquid chromatography combined with multimode acquisition of high-resolution mass spectrometry.

Lilium lancifolium and Lilium brownii viridulum were two common cultivars of Lilium in China, which have been used as a source of food in ancient China, and as a traditional herbal medicine in most northern hemispheres countries continues today. However, only a few secondary metabolites in Lilium closely related to human health have been reported. In this research, an offline two-dimensional (HILIC and RP C18) separation system combined with multimode high-resolution mass spectrometry data acquisition was established for in-depth exploration and comparison of the chemical components in Lilium. In total, 331 components were identified, among which phenylpropanoid derivatives and steroidal saponins were the most abundant components. Furthermore, sulfur derivatives and steroidal alkaloids were systematically characterized in Lilium for the first time. These results provided valuable information for in-depth differentiating types of components characterization, which may be applied to assess and improve the edible and medicinal values of Lilium.

Registered clinical trials on addiction: a cross-sectional study on ClinicalTrials.gov.

OBJECTIVE: Clinical trials drive the development of medicine. However, little is known about the current status of clinical trials on addiction. This study aimed to provide a comprehensive analysis of registered addiction-related trials from ClinicalTrials.gov. METHODS: We examined all addiction-related trials registered on ClinicalTrials.gov up to March 23, 2020. Statistical analysis was performed by using SPSS 25.0, and a two-sided p < .05 was considered statistically significant. RESULTS: 370 eligible trials were identified. Over half of trials were completed, while only 13.8% of trials reported results. Sample sizes varied a lot with a median number of 84 per trial. Universities were the primary sponsor for 164 (44.3%) trials, followed by hospitals (96, 26.0%). Compared to trials without results, more trials with results were sponsored by universities (62.7% vs. 41.4%, p = .003), and conducted in United States/Canada (90.2% vs. 48.3%, p < .001). Most interventional trials were randomized with a parallel assignment, and 56.3% were blinded. Thirty one (41.3%) observational trials were cohort studies and 12 (16.0%) were case-only studies. Interventional trials were more likely to be funded by the US Government, while more observational trials were supported by industries. Trials funded by the US Government were more likely to be completed than those funded by other sources (p = .009). CONCLUSION: Most registered trials on ClinicalTrials.gov about addiction were interventional trials with purpose for treatment. Most interventional trials were randomized, parallel, and masked. Our analysis highlighted the need for improvement in completing study results on the ClinicalTrials.gov.

The development and progress of nanomedicine for esophageal cancer diagnosis and treatment.

Esophageal cancer (EC) is a common gastrointestinal malignancy with poor prognosis and high mortality. Although combined therapeutic strategies have been developed, the 5-year survival rate of patients with EC remains relatively poor. Conventional anti-cancer drug delivery techniques have some shortcomings, such as nontargeted delivery and nonspecific toxicity. Nanoparticles (NPs) provide a promising platform for delivering drugs in various therapeutic modalities for EC, which possess several remarkable advantages in cancer therapy, such as reduced side effects, prolonged circulation time, and preferential accumulation at the tumor site. In this review, we summarized various types of NPs applied in the treatment of EC, including polymers, micelles, liposomes, inorganic NPs and organic NPs. Meanwhile, we discussed the efficacy and safety of newly designed nanomedicine in various treatments of EC, including chemotherapy, radiotherapy, gene therapy, photodynamic therapy (PDT), photothermal therapy (PTT), and their synergetic therapy. In addition, nanomedicine applied in tumor imaging and diagnoses were also reviewed. Current studies have suggested the potential advantages of nanoformulations over conventional formulations. More researches to promote clinical translation of nanomedicine for EC are anticipated in the future.

Artificial Intelligence for COVID-19: A Systematic Review.

Background: Recently, Coronavirus Disease 2019 (COVID-19), caused by severe acute respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead to enormous losses. This study systematically reviews the application of Artificial Intelligence (AI) techniques in COVID-19, especially for diagnosis, estimation of epidemic trends, prognosis, and exploration of effective and safe drugs and vaccines; and discusses the potential limitations. Methods: We report this systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched PubMed, Embase and the Cochrane Library from inception to 19 September 2020 for published studies of AI applications in COVID-19. We used PROBAST (prediction model risk of bias assessment tool) to assess the quality of literature related to the diagnosis and prognosis of COVID-19. We registered the protocol (PROSPERO CRD42020211555). Results: We included 78 studies: 46 articles discussed AI-assisted diagnosis for COVID-19 with total accuracy of 70.00 to 99.92%, sensitivity of 73.00 to 100.00%, specificity of 25 to 100.00%, and area under the curve of 0.732 to 1.000. Fourteen articles evaluated prognosis based on clinical characteristics at hospital admission, such as clinical, laboratory and radiological characteristics, reaching accuracy of 74.4 to 95.20%, sensitivity of 72.8 to 98.00%, specificity of 55 to 96.87% and AUC of 0.66 to 0.997 in predicting critical COVID-19. Nine articles used AI models to predict the epidemic of the COVID-19, such as epidemic peak, infection rate, number of infected cases, transmission laws, and development trend. Eight articles used AI to explore potential effective drugs, primarily through drug repurposing and drug development. Finally, 1 article predicted vaccine targets that have the potential to develop COVID-19 vaccines. Conclusions: In this review, we have shown that AI achieved high performance in diagnosis, prognosis evaluation, epidemic prediction and drug discovery for COVID-19. AI has the potential to enhance significantly existing medical and healthcare system efficiency during the COVID-19 pandemic.

Corrigendum: Effects of the Modified DASH Diet on Adults With Elevated Blood Pressure or Hypertension: A Systematic Review and Meta-Analysis.

[This corrects the article DOI: 10.3389/fnut.2021.725020.].

Trends of High-Impact Studies in Pharmacology and Pharmacy: A Cross-Sectional Study.

Objective: To investigate the trends of high-impact studies in pharmacology and pharmacy research and to provide evidence for future research in the field of pharmacology and pharmacy. Methods: A cross-sectional study was performed to understand the current status of high-impact studies (top 1%) in pharmacology and pharmacy research via InCites tool based on Web of Science Core Collection. VOSViewer software was used to visualize the results. The outcomes included development trends, countries, subject areas, research institutes, collaborative networks, and subject terms. Results: We found 4,273 high-impact (top 1%) studies between 2011 and 2020 in the field of pharmacology and pharmacy. The number of studies increased from 366 in 2011 to 510 in 2020. These studies were mainly distributed in the following Web of Science subject categories: pharmacology and pharmacy (n = 4,188); neurosciences (n = 397); chemistry, multidisciplinary (n = 359); chemistry, medicinal (n = 314); microbiology (n = 301); biotechnology and applied microbiology (n = 280). These studies were cited in 646,855 studies from more than 100 Web of Science subject categories, and studies in pharmacology pharmacy accounted for the largest share of these citations. The top three countries that contributed the highest number of studies were the United States, United Kingdom, and China. The top three institutions that contributed the highest number of studies in the United States were the University of California System, the National Institutes of Health (NIH), and Harvard University. The top research collaborative circle was from universities in the United States. The top international collaborative circle was from universities from the United States, United Kingdom, Australia, and China. The subject-term analysis indicated that cancer was still the top disease, NF-κB was the top signaling pathway, and drug-delivery and nanoparticles were the top methods. Conclusion: The high-impact studies in pharmacology and pharmacy research have grown over time. The United States, the United Kingdom, and China are the top countries that contributed the high-impact studies. Cancer is still the greatest challenge in the field of disease treatment. It calls for more international collaboration in pharmacology and pharmacy research, which will help discover novel drugs.