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Frontiers in Digital Health 2024In the big data era, where corporations commodify health data, non-fungible tokens (NFTs) present a transformative avenue for patient empowerment and control. NFTs are...
INTRODUCTION
In the big data era, where corporations commodify health data, non-fungible tokens (NFTs) present a transformative avenue for patient empowerment and control. NFTs are unique digital assets on the blockchain, representing ownership of digital objects, including health data. By minting their data as NFTs, patients can track access, monetize its use, and build secure, private health information systems. However, research on NFTs in healthcare is in its infancy, warranting a comprehensive review.
METHODS
This study conducted a systematic literature review and thematic analysis of NFTs in healthcare to identify use cases, design models, and key challenges. Five multidisciplinary research databases (Scopus, Web of Science, Google Scholar, IEEE Explore, Elsevier Science Direct) were searched. The approach involved four stages: paper collection, inclusion/exclusion criteria application, screening, full-text reading, and quality assessment. A classification and coding framework was employed. Thematic analysis followed six steps: data familiarization, initial code generation, theme searching, theme review, theme definition/naming, and report production.
RESULTS
Analysis of 19 selected papers revealed three primary use cases: patient-centric data management, supply chain management for data provenance, and digital twin development. Notably, most solutions were prototypes or frameworks without real-world implementations. Four overarching themes emerged: data governance (ownership, tracking, privacy), data monetization (commercialization, incentivization, sharing), data protection, and data storage. The focus lies on user-controlled, private, and secure health data solutions. Additionally, data commodification is explored, with mechanisms proposed to incentivize data maintenance and sharing. NFTs are also suggested for tracking medical products in supply chains, ensuring data integrity and provenance. Ethereum and similar platforms dominate NFT minting, while compact NFT storage options are being explored for faster data access.
CONCLUSION
NFTs offer significant potential for secure, traceable, decentralized healthcare data exchange systems. However, challenges exist, including dependence on blockchain, interoperability issues, and associated costs. The review identified research gaps, such as developing dual ownership models and data pricing strategies. Building an open standard for interoperability and adoption is crucial. The scalability, security, and privacy of NFT-backed healthcare applications require further investigation. Thus, this study proposes a research agenda for adopting NFTs in healthcare, focusing on governance, storage models, and perceptions.
PubMed: 38919876
DOI: 10.3389/fdgth.2024.1377531 -
Clinical Orthopaedics and Related... Jun 2024
Cochrane in CORR®: Pharmacological Interventions for the Prevention of Bleeding in People Undergoing Elective Hip or Knee Surgery: A Systematic Review and Network Meta-analysis.
PubMed: 38913545
DOI: 10.1097/CORR.0000000000003133 -
Journal of Affective Disorders Jun 2024Bipolar disorder (BD) is a mental disorder associated with increased morbidity/mortality. Adverse outcome prediction helps with the management of patients with BD. (Review)
Review
BACKGROUND
Bipolar disorder (BD) is a mental disorder associated with increased morbidity/mortality. Adverse outcome prediction helps with the management of patients with BD.
METHODS
We systematically reviewed the performance of machine learning (ML) studies in predicting adverse outcomes (relapse or recurrence, hospital admission, and suicide-related events) in patients with BD. Demographic, clinical, and neuroimaging-related poor outcome predictors were also reviewed. Three databases (PubMed, Scopus, and Web of Science) were explored from inception to July 2023.
RESULTS
Eighteen studies, accounting for >30,000 patients, were included. Support vector machine, decision trees, random forest, and logistic regression were the most frequently used ML algorithms. ML models' area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, and specificity ranged from 0.71 to 0.98, 72.7-92.8 %, and 59.0-95.2 % for relapse/recurrence prediction (5 studies (3 on relapses and 1 on recurrences). The corresponding values were 0.78-0.88, 21.4-100 %, and 77.0-99.7 % for hospital admissions (3 studies, 21,266 patients), and 0.71-0.99, 44.4-97.9 %, and 38.9-95.0 % for suicide-related events (10 studies, 5558 patients). Also, one study addressed a combination of the interest outcomes. Adverse outcome predictors included early onset BD, type I BD, comorbid psychiatric or substance use disorder, circadian rhythm disruption, hospitalization characteristics, and neuroimaging parameters, including increased dynamic amplitude of low-frequency fluctuation, decreased frontolimbic functional connectivity and aberrant dynamic FC in corticostriatal circuitry.
CONCLUSIONS
ML models can predict adverse outcomes of BD with relatively acceptable performance measures. Future studies with larger samples and nested cross-validation validation should be conducted to reach more reliable results.
PubMed: 38908556
DOI: 10.1016/j.jad.2024.06.061 -
Sleep Medicine Jun 2024Parkinson's disease (PD) is a progressive neurodegenerative disorder, involving motor and non-motor symptoms (NMS). Sleep disturbances (SD) are the second most common... (Review)
Review
Parkinson's disease (PD) is a progressive neurodegenerative disorder, involving motor and non-motor symptoms (NMS). Sleep disturbances (SD) are the second most common NMS in PD and include rapid eye movement (REM) sleep behavior disorder (RBD), excessive daytime sleepiness and insomnia. Freezing of gait (FOG) is a gait impairment frequently reported in people with PD greatly hampering functional independence and quality of life. Presence of FOG has been associated with increased frequency and severity of NMS, including SD. Thus, the aim of this study was to systematically review the literature comparing the number of people with FOG in PD with (PD + SD) and without SD (PD-SD). By systematically searching PubMed and Web of Science databases to identify original peer-reviewed articles, 8 studies including 5251 people with PD (2025 PD + SD and 3226 PD-SD) met eligibility criteria and were included in the review. In 6 studies (4 studies investigating RBD, 2 studies investigating overall sleep quality), the group of PD + SD had higher prevalence of FOG compared with PD-SD. Although a limited number of studies, our findings suggest that PD + SD present more frequently FOG than PD-SD. More studies are required to investigate the possible mechanism underlying this association between FOG and sleep.
PubMed: 38908269
DOI: 10.1016/j.sleep.2024.06.001 -
Clinical Orthopaedics and Related... Jun 2024
PubMed: 38905443
DOI: 10.1097/CORR.0000000000003163 -
Clinics and Research in Hepatology and... Jun 2024Metabolic dysfunction-associated steatotic liver disease (MASLD) is constantly rising globally. There are barely any effective medications or supplements for the... (Review)
Review
Clinical improvement effect of regulating gut microbiota on metabolic dysfunction-associated steatotic liver disease: systematic review and meta-analysis of randomized controlled trials.
BACKGROUND
Metabolic dysfunction-associated steatotic liver disease (MASLD) is constantly rising globally. There are barely any effective medications or supplements for the management of MASLD. We aim to systematically evaluate the most current evidence for gut microbiota-regulating supplements in patients with MASLD.
METHODS
We searched multiple electronic data for randomized controlled trials (RCTs) published from January 1, 2012, to July 15, 2023. The intervention measures included probiotics, prebiotics, synbiotics, antibiotics, and fecal microbiota transplantation (FMT). The control group was treated with a placebo or usual care. The intervention duration was divided into two periods (>12 weeks and ≤12 weeks). Adequate evaluation data for antibiotics and FMT have not been obtained. Therefore, the other three microbiota regulators are the primary evaluation measures in this study.
RESULTS
We found that probiotics alone could not improve clinical indicators in MASLD patients. However, synbiotics exhibited an improvement in reducing liver steatosis, TNF-ɑ levels, and increasing HDL-c levels, and the inflammatory markers of liver cells (ALT and AST) were also improved. For the effective intervention duration, this systematic review suggested that around 12 weeks is an ideal intervention cycle for MASLD patients.
CONCLUSIONS
This meta-analysis supported the modulation of gut microbiota with synbiotics in the management of MASLD.
PubMed: 38879003
DOI: 10.1016/j.clinre.2024.102397 -
Breast Disease 2024Research investigating the quality of life (QOL) of breast cancer patients undergoing chemotherapy has yielded useful knowledge regarding the effects of cancer treatment...
OBJECTIVES
Research investigating the quality of life (QOL) of breast cancer patients undergoing chemotherapy has yielded useful knowledge regarding the effects of cancer treatment on the quality of life of patients. This study reviews the assessment of the quality of life for those diagnosed with breast cancer.
DESIGN
A systematic review was conducted.
DATA SOURCES
This systematic review utilized online databases, including PubMed, Web of Science, Scopus, and Google Scholar. A search ranging from 2018 to 2024 was carried out.
REVIEW METHOD
Medical Subject Headings (MESH) were used for keyword selection along with other target keywords, such as "Quality of life", "Breast cancer", "Chemotherapy", "Treatment side effects", "Patient experience", "Psychosocial well-being", "Physical functioning", "Emotional distress", and "Supportive care". We reviewed and included all English-language publications. A narrative synthesis was conducted to present the results of the studies.
RESULTS
A total of 300 studies were obtained from the search using the specified keywords. Each result underwent another filtering round after applying the inclusion and exclusion criteria. This process led to a final selection of 20 papers that met the requirements and were included in the systematic review.
CONCLUSION
The use of instruments to measure the quality of life (QoL) of breast cancer patients is crucial in understanding the impact of breast cancer on patients' lives, from physical and mental health to social aspects.
Topics: Humans; Quality of Life; Breast Neoplasms; Female; Surveys and Questionnaires
PubMed: 38875026
DOI: 10.3233/BD-249008 -
Breast Disease 2024We reviewed the literature on breast cancer patients' physical activity and quality of life. This paper should urge health services and breast cancer survivors to...
OBJECTIVES
We reviewed the literature on breast cancer patients' physical activity and quality of life. This paper should urge health services and breast cancer survivors to continue appropriate physical activity and assess its advantages.
DESIGN
A systematic review was conducted.
DATA SOURCES
This systematic review used online databases: PubMed, Web of Science, Scopus, and Google Scholar. A search from the beginning of 2018-2024 was conducted.
REVIEW METHOD
Medical Subject Headings (MESH) were used for keyword selection along with other target keywords, such as "Quality of life", "Breast cancer", "Chemotherapy", "Treatment side effects", "Patient experience", "Psychosocial well-being", "Physical functioning", "Emotional distress", and "Supportive care". We reviewed and included all English-language publications. A narrative synthesis was conducted to present the results of the studies.
RESULTS
The search using the keywords yielded a total of 135 studies. Each result was filtered again according to the inclusion and exclusion criteria, resulting in a final total of 15 studies to be included in the systematic review.
CONCLUSION
The evidence supports the benefits of physical activity in enhancing the quality of life for breast cancer survivors, indicating that further prospective and intervention studies are needed.
Topics: Humans; Quality of Life; Breast Neoplasms; Female; Cancer Survivors; Exercise
PubMed: 38875025
DOI: 10.3233/BD-249005 -
Digital Health 2024Wearable technology is used in healthcare to monitor the health of individuals. This study presents an updated systematic literature review of the use of wearable... (Review)
Review
BACKGROUND
Wearable technology is used in healthcare to monitor the health of individuals. This study presents an updated systematic literature review of the use of wearable technology in promoting child and adolescent health, accompanied by recommendations for future research.
METHODS
This review focuses on studies involving children and adolescents aged between 2 and 18 years, regardless of their health condition or disabilities. Studies that were published from 2016 to 2024, and which met the inclusion criteria, were extracted from four academic databases (i.e. PubMed, Cochrane, Embase, and Web of Science) using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol. Data on intervention purposes, interventions deployed, intervention duration, measurements, and the main outcomes of the studies were collected.
RESULTS
A total of 53 studies involving 14,852 participants were reviewed. They focused on various aspects, including the ownership and use of wearable devices ( = 3), the feasibility ( = 22), effectiveness ( = 4), and adherence ( = 2) of intervention strategies, or a combination of multiple aspects ( = 22). Among the interventions deployed, Fitbit was the most frequently used, featuring in 26 studies, followed by ActiGraph ( = 11). In intervention studies, the majority of studies focused on pre-morbidity prevention ( = 26) and the treatment of illnesses ( = 20), with limited attention given to postoperative monitoring ( = 4).
CONCLUSIONS
The use of wearable technology by children and adolescents has proven to be both feasible and effective for health promotion. This systematic review summarizes existing research by exploring the use of wearable technology in promoting health across diverse youth populations, including healthy and unhealthy individuals. It examines health promotion at various stages of the disease continuum, including pre-disease prevention, in-disease treatment, and postoperative monitoring. Additionally, the review provides directions for future research.
PubMed: 38868368
DOI: 10.1177/20552076241260507 -
PLoS Neglected Tropical Diseases Jun 2024Despite its well-regarded vector control program, Singapore remains susceptible to dengue epidemics. To assist evaluation of dengue interventions, we aimed to synthesize...
BACKGROUND
Despite its well-regarded vector control program, Singapore remains susceptible to dengue epidemics. To assist evaluation of dengue interventions, we aimed to synthesize current data on the epidemiologic and economic burden of dengue in Singapore.
METHODOLOGY
We used multiple databases (PubMed, Embase, Cochrane, international/national repositories, surveillance) to search for published and gray literature (2000-2022). We included observational and cost studies, and two interventional studies, reporting Singapore-specific data on our co-primary outcomes, dengue incidence and dengue-related costs. Quality was assessed using the Newcastle-Ottawa Scale and an adapted cost-of-illness evaluation checklist. We performed a narrative synthesis and grouped studies according to reported outcomes and available stratified analyses.
FINDINGS
In total, 333 reports (330 epidemiological, 3 economic) were included. Most published epidemiological studies (89%) and all economic studies were of good quality. All gray literature reports were from the Ministry of Health or National Environment Agency. Based predominantly on surveillance data, Singapore experienced multiple outbreaks in 2000-2021, attaining peak incidence rate in 2020 (621.1 cases/100,000 person-years). Stratified analyses revealed the highest incidence rates in DENV-2 and DENV-3 serotypes and the 15-44 age group. Among dengue cases, the risk of hospitalization has been highest in the ≥45-year-old age groups while the risks of dengue hemorrhagic fever and death have generally been low (both <1%) for the last decade. Our search yielded limited data on deaths by age, severity, and infection type (primary, secondary, post-secondary). Seroprevalence (dengue immunoglobulin G) increases with age but has remained <50% in the general population. Comprising 21-63% indirect costs, dengue-related total costs were higher in 2010-2020 (SGD 148 million) versus the preceding decade (SGD 58-110 million).
CONCLUSION
Despite abundant passive surveillance data, more stratified and up-to-date data on the epidemiologic and economic burden of dengue are warranted in Singapore to continuously assess prevention and management strategies.
Topics: Singapore; Humans; Dengue; Cost of Illness; Incidence; Dengue Virus; Hospitalization; Adult
PubMed: 38857260
DOI: 10.1371/journal.pntd.0012240