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Nutrition Reviews Nov 2023Histidine-containing dipeptides (carnosine, anserine, beta-alanine and others) are found in human muscle tissue and other organs like the brain. Data in rodents and...
CONTEXT
Histidine-containing dipeptides (carnosine, anserine, beta-alanine and others) are found in human muscle tissue and other organs like the brain. Data in rodents and humans indicate that administration of exogenous carnosine improved cognitive performance. However, RCTs results vary.
OBJECTIVES
To perform a systematic review and meta-analysis of randomized controlled trials (RCTs) of histidine-containing dipeptide (HCD) supplementation on cognitive performance in humans to assess its utility as a cognitive stabiliser.
DATA SOURCES
OVID Medline, Medline, EBM Reviews, Embase, and Cumulative Index to Nursing and Allied Health Literature databases from 1/1/1965 to 1/6/2022 for all RCT of HCDs were searched.
DATA EXTRACTION
2653 abstracts were screened, identifying 94 full-text articles which were assessed for eligibility. Ten articles reporting the use of HCD supplementation were meta-analysed.
DATA ANALYSIS
The random effects model has been applied using the DerSimonian-Laird method. HCD treatment significantly increased performance on Wechsler Memory Scale (WMS) -2 Delayed recall (Weighted mean difference (WMD) (95% CI (CI)) = 1.5 (0.6, 2.5), P < .01). Treatment with HCDs had no effect on Alzheimer's Disease Assessment Scale-Cognitive (WMD (95% CI) = -0.2 (-1.1, 0.7), P = .65, I2 = 0%), Mini-Mental State Examination (WMD (95% CI) = 0.7 (-0.2, 1.5), P = .14, I2 = 42%), The Wechsler Adult Intelligence Scale (WAIS) Digit span Backward (WMD (95% CI) = 0.1 (-0.3, 0.5), P = .51, I2 = 0%), WAIS digit span Forward (WMD (95% CI) = 0.0 (-0.3, 0.4), P = .85, I2 = 33%) and the WMS-1 Immediate recall (WMD (95% CI) = .7 (-.2, 1.5), P = .11, I2 = 0%). The effect on delayed recall remained in subgroup meta-analysis performed on studies of patients without mild cognitive impairment (MCI), and in those without MCI where average age in the study was above 65.
CONCLUSION
HCD, supplementation improved scores on the Delayed recall examination, a neuropsychological test affected early in Alzheimer's disease. Further studies are needed in people with early cognitive impairment with longer follow-up duration and standardization of carnosine doses to delineate the true effect.
SYSTEMATIC REVIEW REGISTRATION
PROSPERO registration no. CRD42017075354.
PubMed: 38013229
DOI: 10.1093/nutrit/nuad135 -
Digital Health 2023Conversational artificial intelligence (chatbots and dialogue systems) is an emerging tool for tobacco cessation that has the potential to emulate personalised human... (Review)
Review
BACKGROUND
Conversational artificial intelligence (chatbots and dialogue systems) is an emerging tool for tobacco cessation that has the potential to emulate personalised human support and increase engagement. We aimed to determine the effect of conversational artificial intelligence interventions with or without standard tobacco cessation interventions on tobacco cessation outcomes among adults who smoke, compared to no intervention, placebo intervention or an active comparator.
METHODS
A comprehensive search of six databases was completed in June 2022. Eligible studies included randomised controlled trials published since 2005. The primary outcome was sustained tobacco abstinence, self-reported and/or biochemically validated, for at least 6 months. Secondary outcomes included point-prevalence abstinence and sustained abstinence of less than 6 months. Two authors independently extracted data on cessation outcomes and completed the risk of bias assessment. Random effects meta-analysis was conducted.
RESULTS
From 819 studies, five randomised controlled trials met inclusion criteria (combined sample size = 58,796). All studies differed in setting, methodology, intervention, participants and end-points. Interventions included chatbots embedded in multi- and single-component smartphone apps ( = 3), a social media-based ( = 1) chatbot, and an internet-based avatar ( = 1). Random effects meta-analysis of three studies found participants in the conversational artificial intelligence enhanced intervention were significantly more likely to quit smoking at 6-month follow-up compared to control group participants (RR = 1.29, 95% CI (1.13, 1.46), < 0.001). Loss to follow up was generally high. Risk of bias was high overall.
CONCLUSION
We found limited but promising evidence on the effectiveness of conversational artificial intelligence interventions for tobacco cessation. Although all studies found benefits from conversational artificial intelligence interventions, results should be interpreted with caution due to high heterogeneity. Given the rapid evolution and potential of artificial intelligence interventions, further well-designed randomised controlled trials following standardised reporting guidelines are warranted in this emerging area.
PubMed: 37928336
DOI: 10.1177/20552076231211634 -
Frontiers in Digital Health 2024The term infodemic refers to the proliferation of both accurate and inaccurate information that creates a challenge in identifying trustworthy and credible sources.... (Review)
Review
BACKGROUND
The term infodemic refers to the proliferation of both accurate and inaccurate information that creates a challenge in identifying trustworthy and credible sources. Among the strategies employed to mitigate the impact of the infodemic, social media literacy has emerged as a significant and effective approach. This systematic review examines the role of social media literacy in the management of the infodemic.
METHODS
Six databases, including SID, Magiran, Scopus, PubMed, Google Scholar and Web of Science were systematically searched using relevant keywords. We included the relevant publications between 2012 and 2023 in our analysis. To ensure a qualitative assessment of the studies, we used the STROBE and AMSTAR checklists as evaluation tools. The Preferred Reporting Items for Systematic Reviews (PRISMA) guideline was used for the design of this review study. Finally, we organized the studies into groups based on similarities and retrieved and analyzed evidence pertaining to the challenges and opportunities identified.
RESULTS
Eleven papers were included in this study after reviewing the retrieved studies. Five of them examined the effect of social media literacy and health literacy on acceptance of health behaviors. Four studies investigated the role of media literacy in managing misinformation and fake news related to health. Two studies focused on infodemic management and promoting citizen engagement during health crises. Results showed that health-related infodemics are derived from the users' lack of media knowledge, distrust of government service systems, local influencers and peers, rapid circulation of information through mass media messages, weakness of solutions proposed by health care providers, failure to pay attention to the needs of the audience, vertical management, and inconsistency of published messages.
CONCLUSION
The findings of this study highlight the importance of increasing social media literacy among the general public as a recognized strategy for managing the infodemic. Consequently, it is recommended that relevant organizations and institutions, such as the Ministry of Health, develop targeted training programs to effectively address this need.
PubMed: 38419808
DOI: 10.3389/fdgth.2024.1277499 -
Journal of Hand and Microsurgery Jun 2024Propeller perforator flaps (PPFs) have increased in popularity due to the freedom in design and ability to cover a variety of defects without sacrificing the major...
BACKGROUND
Propeller perforator flaps (PPFs) have increased in popularity due to the freedom in design and ability to cover a variety of defects without sacrificing the major vessels. Present reports of PPFs for upper limb reconstruction have not provided guidance for hand reconstruction, specifically. This study aims to review the current literature and evaluate techniques for use of PPFs in hand reconstruction.
METHODS
A comprehensive literature review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for articles published from 1991 to 2021. The database search was queried for records using appropriate Medical Subject Headings (MeSH) terms. Studies reporting PPFs were limited to English language and excluded lower extremity or upper extremity reconstruction not specific to defects in the hand or digits. Study characteristics, patient demographics, indications, preoperative testing, flap characteristics, flap survival, and complication rates were collected.
RESULTS
Out of the initial 1,348 citations yielded, 71 underwent full-text review. Ultimately, 25 unique citations were included encompassing 12 retrospective reviews (48%), 3 prospective cohort studies (10%), and 10 case series (40%). In review, 525 patients underwent reconstruction with a total of 613 propeller flaps performed to repair defects of the hand, digits, or both with use of 18 unique flap types. Overall flap survival was 97.8%. Acute wounds accounted for 72.9% of performed reconstructions. The mean flap coverage was 14.7 cm. Complications occurred in 19.8% of cases, with venous congestion and partial flap necrosis occurring in 5.5 and 6.5% of cases, respectively, leading to a flap failure rate of 2.1%.
CONCLUSION
PPFs are a reliable option for hand or digital reconstruction, allowing surgeons to cover a variety of defects without sacrificing local vasculature. Despite nearly a 20% reported complication rate, nearly all flaps with venous congestion and partial flap necrosis included in these articles resolved without the need for secondary intervention, retaining an excellent overall flap survival.
PubMed: 38855530
DOI: 10.1055/s-0043-1768482 -
NPJ Digital Medicine Apr 2024The integration of robotics in surgery has increased over the past decade, and advances in the autonomous capabilities of surgical robots have paralleled that of... (Review)
Review
The integration of robotics in surgery has increased over the past decade, and advances in the autonomous capabilities of surgical robots have paralleled that of assistive and industrial robots. However, classification and regulatory frameworks have not kept pace with the increasing autonomy of surgical robots. There is a need to modernize our classification to understand technological trends and prepare to regulate and streamline surgical practice around these robotic systems. We present a systematic review of all surgical robots cleared by the United States Food and Drug Administration (FDA) from 2015 to 2023, utilizing a classification system that we call Levels of Autonomy in Surgical Robotics (LASR) to categorize each robot's decision-making and action-taking abilities from Level 1 (Robot Assistance) to Level 5 (Full Autonomy). We searched the 510(k), De Novo, and AccessGUDID databases in December 2023 and included all medical devices fitting our definition of a surgical robot. 37,981 records were screened to identify 49 surgical robots. Most surgical robots were at Level 1 (86%) and some reached Level 3 (Conditional Autonomy) (6%). 2 surgical robots were recognized by the FDA to have machine learning-enabled capabilities, while more were reported to have these capabilities in their marketing materials. Most surgical robots were introduced via the 510(k) pathway, but a growing number via the De Novo pathway. This review highlights trends toward greater autonomy in surgical robotics. Implementing regulatory frameworks that acknowledge varying levels of autonomy in surgical robots may help ensure their safe and effective integration into surgical practice.
PubMed: 38671232
DOI: 10.1038/s41746-024-01102-y -
Journal of Digital Imaging Oct 2023Since 2000, there have been more than 8000 publications on radiology artificial intelligence (AI). AI breakthroughs allow complex tasks to be automated and even... (Review)
Review
Since 2000, there have been more than 8000 publications on radiology artificial intelligence (AI). AI breakthroughs allow complex tasks to be automated and even performed beyond human capabilities. However, the lack of details on the methods and algorithm code undercuts its scientific value. Many science subfields have recently faced a reproducibility crisis, eroding trust in processes and results, and influencing the rise in retractions of scientific papers. For the same reasons, conducting research in deep learning (DL) also requires reproducibility. Although several valuable manuscript checklists for AI in medical imaging exist, they are not focused specifically on reproducibility. In this study, we conducted a systematic review of recently published papers in the field of DL to evaluate if the description of their methodology could allow the reproducibility of their findings. We focused on the Journal of Digital Imaging (JDI), a specialized journal that publishes papers on AI and medical imaging. We used the keyword "Deep Learning" and collected the articles published between January 2020 and January 2022. We screened all the articles and included the ones which reported the development of a DL tool in medical imaging. We extracted the reported details about the dataset, data handling steps, data splitting, model details, and performance metrics of each included article. We found 148 articles. Eighty were included after screening for articles that reported developing a DL model for medical image analysis. Five studies have made their code publicly available, and 35 studies have utilized publicly available datasets. We provided figures to show the ratio and absolute count of reported items from included studies. According to our cross-sectional study, in JDI publications on DL in medical imaging, authors infrequently report the key elements of their study to make it reproducible.
Topics: Humans; Artificial Intelligence; Cross-Sectional Studies; Reproducibility of Results; Diagnostic Imaging; Algorithms
PubMed: 37407841
DOI: 10.1007/s10278-023-00870-5 -
Digital Health 2023Digital twins (DTs) have received widespread attention recently, providing new ideas and possibilities for future healthcare. This review aims to provide a quantitative... (Review)
Review
OBJECTIVE
Digital twins (DTs) have received widespread attention recently, providing new ideas and possibilities for future healthcare. This review aims to provide a quantitative review to analyze specific study contents, research focus, and trends of DT in healthcare. Simultaneously, this review intends to expand the connotation of "healthcare" into two directions, namely "Disease treatment" and "Health enhancement" to analyze the content within the "DT + healthcare" field thoroughly.
METHODS
A data mining method named Structure Topic Modeling (STM) was used as the analytical tool due to its topic analysis ability and versatility. Google Scholar, Web of Science, and China National Knowledge Infrastructure supplied the material papers in this review.
RESULTS
A total of 94 high-quality papers published between 2018 and 2022 were gathered and categorized into eight topics, collectively covering the transformative impact across a broader spectrum in healthcare. Three main findings have emerged: (1) papers published in healthcare predominantly concentrate on technology development (artificial intelligence, Internet of Things, etc.) and application scenarios(personalized, precise, and real-time health service); (2) the popularity of research topics is influenced by various factors, including policies, COVID-19, and emerging technologies; and (3) the preference for topics is diverse, with a general inclination toward the attribute of "Health enhancement."
CONCLUSIONS
This review underscores the significance of real-time capability and accuracy in shaping the future of DT, where algorithms and data transmission methods assume central importance in achieving these goals. Moreover, technological advancements, such as omics and Metaverse, have opened up new possibilities for DT in healthcare. These findings contribute to the existing literature by offering quantitative insights and valuable guidance to keep researchers ahead of the curve.
PubMed: 37846404
DOI: 10.1177/20552076231203672 -
Digital Health 2024Many clinical trials fail because of poor recruitment and enrollment which can directly impact the success of biomedical and clinical research outcomes. Options to... (Review)
Review
BACKGROUND
Many clinical trials fail because of poor recruitment and enrollment which can directly impact the success of biomedical and clinical research outcomes. Options to leverage digital technology for improving clinical trial management are expansive, with potential benefits for improving access to clinical trials, encouraging trial diversity and inclusion, and potential cost-savings through enhanced efficiency.
OBJECTIVES
This systematic review has two key aims: (1) identify and describe the digital technologies applied in clinical trial recruitment and enrollment and (2) evaluate evidence of these technologies addressing the recruitment and enrollment of racial and ethnic minority groups.
METHODS
We conducted a cross-disciplinary review of articles from PubMed, IEEE Xplore, and ACM Digital Library, published in English between January 2012 and July 2022, using MeSH terms and keywords for digital health, clinical trials, and recruitment and enrollment. Articles unrelated to technology in the recruitment/enrollment process or those discussing recruitment/enrollment without technology aspects were excluded.
RESULTS
The review returned 614 results, with 21 articles (four reviews and 17 original research articles) deemed suitable for inclusion after screening and full-text review. To address the first objective, various digital technologies were identified and characterized, which included articles with more than one technology subcategory including (a) multimedia presentations (19%, = 4); (b) mobile applications (14%, = 3); (c) social media platforms (29%, = 6); (d) machine learning and computer algorithms (19%, = 4); (e) e-consenting (24%, = 5); (f) blockchain (5%, = 1); (g) web-based programs (24%, = 5); and (h) virtual messaging (24%, = 5). Additionally, subthemes, including specific diseases or conditions addressed, privacy and regulatory concerns, cost/benefit analyses, and ethnic and minority recruitment considerations, were identified and discussed. Limited research was found to support a particular technology's effectiveness in racial and ethnic minority recruitment and enrollment.
CONCLUSION
Results from this review illustrate that several types of technology are currently being explored and utilized in clinical trial recruitment and enrollment stages. However, evidence supporting the use of digital technologies is varied and requires further research and evaluation to identify the most valuable opportunities for encouraging diversity in clinical trial recruitment and enrollment practices.
PubMed: 38559578
DOI: 10.1177/20552076241242390 -
Diabetes/metabolism Research and Reviews Mar 2024Offloading mechanical tissue stress is arguably the most important of multiple interventions needed to heal diabetes-related foot ulcers. This is the 2023 International... (Meta-Analysis)
Meta-Analysis
AIMS
Offloading mechanical tissue stress is arguably the most important of multiple interventions needed to heal diabetes-related foot ulcers. This is the 2023 International Working Group on the Diabetic Foot (IWGDF) evidence-based guideline on offloading interventions to promote healing of foot ulcers in persons with diabetes. It serves as an update of the 2019 IWGDF guideline.
MATERIALS AND METHODS
We followed the GRADE approach by devising clinical questions and important outcomes in the PICO (Patient-Intervention-Control-Outcome) format, undertaking a systematic review and meta-analyses, developing summary of judgement tables and writing recommendations and rationales for each question. Each recommendation is based on the evidence found in the systematic review, expert opinion where evidence was not available, and a careful weighing of GRADE summary of judgement items including desirable and undesirable effects, certainty of evidence, patient values, resources required, cost effectiveness, equity, feasibility, and acceptability.
RESULTS
For healing a neuropathic plantar forefoot or midfoot ulcer in a person with diabetes, use a non-removable knee-high offloading device as the first-choice offloading intervention. If contraindications or patient intolerance to non-removable offloading exist, consider using a removable knee-high or ankle-high offloading device as the second-choice offloading intervention. If no offloading devices are available, consider using appropriately fitting footwear combined with felted foam as the third-choice offloading intervention. If such a non-surgical offloading treatment fails to heal a plantar forefoot ulcer, consider an Achilles tendon lengthening, metatarsal head resection, joint arthroplasty, or metatarsal osteotomy. For healing a neuropathic plantar or apex lesser digit ulcer secondary to flexibile toe deformity, use digital flexor tendon tenotomy. For healing rearfoot, non-plantar or ulcers complicated with infection or ischaemia, further recommendations have been outlined. All recommendations have been summarised in an offloading clinical pathway to help facilitate the implementation of this guideline into clinical practice.
CONCLUSION
These offloading guideline recommendations should help healthcare professionals provide the best care and outcomes for persons with diabetes-related foot ulcers and reduce the person's risk of infection, hospitalisation and amputation.
Topics: Humans; Diabetic Foot; Ulcer; Foot Ulcer; Foot; Wound Healing; Diabetes Mellitus
PubMed: 37226568
DOI: 10.1002/dmrr.3647 -
Digital Health 2023To provide high-quality elderly care, digital health technologies (DHTs) can potentially assist in reaching the full capacity of comprehensive geriatric assessments... (Review)
Review
OBJECTIVE
To provide high-quality elderly care, digital health technologies (DHTs) can potentially assist in reaching the full capacity of comprehensive geriatric assessments (CGAs) to improve communication and data transfer on patients' medical and treatment plan information and health decision-making. This systematic review aimed to describe the evidence on the feasibility and usability, efficacy and effectiveness, and implementation outcomes of DHTs developed to facilitate the administration of CGAs for long-term care settings or community care and to describe their technical features and components.
METHODS
A search strategy was conducted in three databases, targeting studies evaluating the DHTs facilitating the administration of CGAs used in long-term care settings or community care. Studies in English and Spanish published up to 5 April 2023 were considered.
RESULTS
Four DHTs supporting the administration of the CGAs were identified. Limited information was found on the technical features and required hardware. Some of the barriers identified regarding usability can be overcome with novel technologies; however, training of health professionals on the assessments and staff knowledge regarding the purpose of the data collected are not technology related and need to be addressed.
CONCLUSIONS
Barriers regarding usability were related to experienced difficulties navigating the software, unstable network connectivity, and length of the assessment. Feasibility obstacles were associated with the lack of training to use the DHT, availability and accessibility to hardware (e.g. laptops), and lack of insight into the clinical benefits of collected data. Further research must focus on these areas to improve the implementation and usefulness of these DHTs.
PubMed: 37529535
DOI: 10.1177/20552076231191008