RESUMEN

Clinical evidence generation from and for representative populations can be improved through increased research access and ease of trial participation. To improve access and participation, a modern trial infrastructure is needed that broadens research into more routine practice. This commentary highlights current barriers, areas of advancement, and actions needed to enable continued transformation toward a modern trial infrastructure for an improved evidence generation system. The focus of this commentary is on the development of medical products (e.g., drugs, devices, biologics) and infrastructure issues within the United States, with the aim to have broader, multi-national applicability.

Asunto(s)

RESUMEN

Technological and scientific innovations in the area of gene and cell therapies, so-called advanced therapy medicinal products (ATMPs), have contributed to the steep increase in treatment options for patients with rare diseases. They offer opportunities to address the underlying genetic defect by gene addition, i.e., the delivery of the gene of interest to the target cells, or by genome editing approaches through direct repair of disease-causing mutations. This paper outlines clinical evidence requirements in the context of marketing authorisations for rare diseases. Two out of fifteen gene therapies that have been approved in the European Union since 2018 are used as case studies: Libmeldy (atidarsagen autotemcel) for the treatment of patients with metachromatic leukodystrophy, and Roctavian (valoctocogen roxaparvovec) for the treatment of patients with haemophilia A. Special aspects of the evaluation of single-arm trials with small sample size and requirements with regard to the isolation and causal attribution of the treatment effect are discussed. The role of clinical data obtained under everyday conditions (real world data) to support the generation of evidence in the pre- and post authorisation phase is critically examined. Furthermore, the paper outlines aspects related to conditional versus standard marketing authorisations as well as aspects related to registry-based non-interventional studies in the context of market and patient access to urgently needed drugs.

RESUMEN

This manuscript outlines a model of Alzheimer's Disease (AD) pathophysiology in progressive layers, from its genesis to the development of biomarkers and then to symptom expression. Genetic predispositions are the major factor that leads to mitochondrial dysfunction and subsequent amyloid and tau protein accumulation, which have been identified as hallmarks of AD. Extending beyond these accumulations, we explore a broader spectrum of pathophysiological aspects, including the blood-brain barrier, blood flow, vascular health, gut-brain microbiodata, glymphatic flow, metabolic syndrome, energy deficit, oxidative stress, calcium overload, inflammation, neuronal and synaptic loss, brain matter atrophy, and reduced growth factors. Photobiomodulation (PBM), which delivers near-infrared light to selected brain regions using portable devices, is introduced as a therapeutic approach. PBM has the potential to address each of these pathophysiological aspects, with data provided by various studies. They provide mechanistic support for largely small published clinical studies that demonstrate improvements in memory and cognition. They inform of PBM's potential to treat AD pending validation by large randomized controlled studies. The presentation of brain network and waveform changes on electroencephalography (EEG) provide the opportunity to use these data as a guide for the application of various PBM parameters to improve outcomes. These parameters include wavelength, power density, treatment duration, LED positioning, and pulse frequency. Pulsing at specific frequencies has been found to influence the expression of waveforms and modifications of brain networks. The expression stems from the modulation of cellular and protein structures as revealed in recent studies. These findings provide an EEG-based guide for the use of artificial intelligence to personalize AD treatment through EEG data feedback.

RESUMEN

Subfertility, a condition marked by a reduced capacity to conceive naturally, affects a significant proportion of couples globally. Nutrition is a fundamental aspect of reproductive health, with various nutrients essential in maintaining optimal reproductive function. This comprehensive review explores the intricate relationship between nutritional deficiencies and subfertility. It examines key micronutrients such as vitamins D, E, C, and B12, as well as minerals such as zinc, iron, selenium, and magnesium, and their impacts on fertility. The review also considers macronutrients and the importance of a balanced diet in supporting reproductive health. Drawing on an extensive body of clinical evidence and studies, this review highlights how deficiencies in these nutrients can lead to hormonal imbalances, impaired gametogenesis, and suboptimal pregnancy outcomes. It discusses the efficacy of nutritional interventions, including dietary supplements and lifestyle modifications, in improving fertility. Furthermore, it addresses the emerging research on personalized nutrition and its potential to enhance reproductive outcomes. The review underscores the necessity for healthcare providers to assess and address the nutritional status of patients with subfertility. It provides practical recommendations for developing nutritional plans, counseling patients, and integrating nutritional interventions into fertility treatments. By offering a comprehensive synthesis of current evidence, this review aims to inform clinical practice and promote further research into the role of nutrition in enhancing fertility.

RESUMEN

BACKGROUND: This study aimed to analyze the rapidly evolving ecosystem of digital health applications (Digitale Gesundheitsanwendung; DiGAs) in Germany, spurred by the 2019 Digital Healthcare Act. With over 73 million people in Germany now having access to DiGAs, these prescribable digital health apps and web-based applications represent a substantial stride in health care modernization, supporting both patients and health care providers with digital solutions for disease management and care improvement. OBJECTIVE: Through a data-driven approach, this research aimed to unpack the complexities of DiGA market dynamics, economic factors, and clinical evidence, offering insights into their impact over the past years. METHODS: The analysis draws from a range of public data sources, including the DiGA directory, statutory health insurance reports, app store feedback, and clinical study results. RESULTS: As of July 1, 2024, there are 56 DiGAs listed by the Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte), divided into 35 permanently and 21 preliminarily listed applications. Our findings reveal that a majority of DiGAs extend beyond the intended 1-year period to achieve permanent listing, reflecting the extensive effort required to demonstrate clinical efficacy. Economic analysis uncovered a dynamic pricing landscape, with initial prices ranging from approximately €200 to €700 (€1=US $1.07), averaging at a median of €514 for a 3-month DiGA prescription. Following negotiations or arbitration board decisions, prices typically see a 50% reduction, settling at a median of €221. Prescription data offer valuable insights into DiGA acceptance, with total prescriptions jumping from around 41,000 in the first period to 209,000 in the latest reporting period. The analysis of the top 15 DiGAs, representing 82% of the total prescriptions, shows that these best-performing apps receive from a minimum of 8 to a maximum of 77 daily prescriptions, with native apps and early market entrants achieving higher rates. Clinical evidence from all 35 permanently listed DiGAs indicates a uniform preference for randomized controlled trials to validate primary end points, with no noteworthy use of alternative study designs encouraged in the Digital Healthcare Act and related regulations. Moreover, all evaluated DiGAs focused on medical benefits, with health status improvement as a key end point, suggesting an underuse of patient-relevant structural and procedural improvement in demonstrating health care impact. CONCLUSIONS: This study highlights the growth and challenges within the DiGA sector, suggesting areas for future research, such as the exploration of new study designs and the potential impact of patient-relevant structural and procedural improvements. For DiGA manufacturers, the strategic advantage of early market entry is emphasized. Overall, this paper underscores the evolving landscape of digital health, advocating for a nuanced understanding of digital health technology integration in Germany and beyond.

Asunto(s)

RESUMEN

Lung cancer stands as a malignant neoplasm bearing the highest burden of morbidity and mortality within the elderly population on a global scale. Among the lung cancer subtypes, non-small cell lung cancer (NSCLC) prevails as the most prevalent. As age advances, elderly patients often present with an increased prevalence of comorbidities, diminished organ reserve function, and alterations in drug pharmacokinetics, including absorption, distribution, metabolism, and clearance. These factors collectively contribute to a reduction in their capacity to tolerate therapeutic interventions. Regrettably, there exists a paucity of research data and evidence regarding the management of elderly patients afflicted by advanced lung cancer. This article endeavors to compile and elucidate strategies for the enhancement of treatment approaches, with the aim of aiding clinical decision-making. Prior to the selection of clinical treatment modalities for elderly patients with advanced NSCLC, a comprehensive assessment should be conducted, taking into account various facets, including tumor characteristics, patient age, physiological status, and the presence of comorbidities. The treatment strategy should be implemented in a tiered fashion, thereby affording the opportunity for the tailoring of individualized therapeutic approaches for elderly patients afflicted by advanced NSCLC. The demographic of elderly patients confronting advanced NSCLC presents a complex landscape marked by intricate underlying conditions, necessitating the imperative optimization of treatment strategies.

RESUMEN

Diabetes is a widespread chronic disease that occurs mainly in the elderly population. Due to the difference in pathophysiology between elderly and young patients, the current clinical practice to treat elderly patients with anti-diabetes medications still faces some challenges and dilemmas, such as the urgent need for early diagnosis and prevention, and an imbalance between restricted dietary intake and the risk of undernutrition. Traditional Chinese medicine (TCM) offers various treatment regimens that are actively utilized in the field of diabetes management. Through multiple targets and multiple pathways, TCM formulas, medicinal herbs, and active natural products enhance the efficacy of diabetes prevention and diabetes control measures, simplify complex medication management, and improve common symptoms and common diabetic complications in elderly people. Historically, natural products have played a key role in material composition analysis of TCM and mechanism interpretation to enable drug discovery. However, there have been few conclusions on this topic. This review summarizes the development of TCM for the prevention and management of diabetes in elderly people, existing evidence-based clinical practices, and prospects for future development.

RESUMEN

Vitamin D plays a crucial role in preventing atherosclerosis and in the regulation of macrophage function. This review aims to provide a comprehensive summary of the clinical evidence regarding the impact of vitamin D on atherosclerotic cardiovascular disease, atherosclerotic cerebrovascular disease, peripheral arterial disease, and associated risk factors. Additionally, it explores the mechanistic studies investigating the influence of vitamin D on macrophage function in atherosclerosis. Numerous findings indicate that vitamin D inhibits monocyte or macrophage recruitment, macrophage cholesterol uptake, and esterification. Moreover, it induces autophagy of lipid droplets in macrophages, promotes cholesterol efflux from macrophages, and regulates macrophage polarization. This review particularly focuses on analyzing the molecular mechanisms and signaling pathways through which vitamin D modulates macrophage function in atherosclerosis. It claims that vitamin D has a direct inhibitory effect on the formation, adhesion, and migration of lipid-loaded monocytes, thus exerting anti-atherosclerotic effects. Therefore, this review emphasizes the crucial role of vitamin D in regulating macrophage function and preventing the development of atherosclerosis.

Asunto(s)

RESUMEN

Pediatric intestinal development is immature, vulnerable to external influences and produce a variety of intestinal diseases. At present, breakthroughs have been made in the treatment of pediatric intestinal diseases, but there are still many challenges, such as toxic side effects, drug resistance, and the lack of more effective treatments and specific drugs. In recent years, dietary polyphenols derived from plants have become a research hotspot in the treatment of pediatric intestinal diseases due to their outstanding pharmacological activities such, as anti-inflammatory, antibacterial, antioxidant and regulation of intestinal flora. This article reviewed the mechanism of action and clinical evidence of dietary polyphenols in the treatment of pediatric intestinal diseases, and discussed the influence of physiological characteristics of children on the efficacy of polyphenols, and finally prospected the new dosage forms of polyphenols in pediatrics.

Asunto(s)

RESUMEN

OBJECTIVE: The "Health" element is one of the elements in Significant Quality of Life Measure (SigQOLM) that measures quality of life and well-being of people. This study aims to evaluate the Health element (Health-SigQOLM) as a generic and dynamic scale to measure health-related quality of life (HRQOL) with a broader spectrum of coverage. This study used a secondary data that developed SigQOLM. Only the "Health" element with 33 items is used for analysis. RESULTS: The construct of Health-SigQOLM has a minimum factor loading of 0.425 with excellent model fit. The health status among healthcare workers is significantly associated with the Health-SigQOLM (p < 0.001). The Health-SigQOLM score can clearly distinguish between healthy people and those who have been afflicted with some diseases but have never been hospitalized due to disease progression or other associated complications (p = 0.002). The Health-SigQOLM is a generic and dynamic tool for assessing various aspects of health-related quality of life.

Asunto(s)

RESUMEN

BACKGROUND: As a common complication of diabetes, diabetic cardiomyopathy (DCM) often leads to further damage to the heart muscle. Curcumin has been proven to have a variety of cardioprotective effects, however, the protective effect against DCM has not been systematically reviewed. PURPOSE: In this study, we aimed to analyze the preclinical (animal model) evidence of curcumin's therapeutic effects in DCM. METHODS: Eight databases and two registry systems were searched from the time of library construction to 1 November 2023. We performed rigorous data extraction and quality assessment. The included studies' methodological quality was appraised using the SYRCLE RoB tool, statistical analyses were carried out using RevMan 5.4 software, and Funnel plots and Egger's test were performed using Stata 17.0 software to assess publication bias. RESULTS: This study included 32 trials with a total of 681 animals. Meta-analysis showed that curcumin significantly improved cardiac function indices (LVEF, LVFS, and LVSd) (p < 0.01), decreased markers of myocardial injury, HW/BW ratio, and randomized blood glucose compared to the control group, in addition to showing beneficial effects on mechanistic indices of myocardial oxidation, inflammation, apoptosis, and autophagy (p < 0.05). CONCLUSIONS: Curcumin may exert cardioprotective effects in DCM through its antioxidant, anti-inflammatory, autophagy-enhancing, and anti-apoptotic effects. Its protective effect is proportional to the dose, and the efficacy may be further increased at a concentration of more than 200 mg/kg, and further validation is needed.

Asunto(s)

RESUMEN

Diabetes mellitus (DM) is a chronic endocrine disorder that poses a long-term risk to human health accompanied by serious complications. Common antidiabetic drugs are usually accompanied by side effects such as hepatotoxicity and nephrotoxicity. There is an urgent need for natural dietary alternatives for diabetic treatment. Tea (Camellia sinensis) consumption has been widely investigated to lower the risk of diabetes and its complications through restoring glucose metabolism homeostasis, safeguarding pancreatic ß-cells, ameliorating insulin resistance, ameliorating oxidative stresses, inhibiting inflammatory response, and regulating intestinal microbiota. It is indispensable to develop effective strategies to improve the absorption of tea active compounds and exert combinational effects with other natural compounds to broaden its hypoglycemic potential. The advances in clinical trials and population-based investigations are also discussed. This review primarily delves into the antidiabetic potential and underlying mechanisms of tea active compounds, providing a theoretical basis for the practical application of tea and its active compounds against diabetes.

Asunto(s)

RESUMEN

Refractory heart failure (RHF), or end-stage heart failure, has a poor prognosis and high case fatality rate, making it one of the therapeutic difficulties in the cardiovascular field. Despite the continuous abundance of methods and means for treating RHF in modern medicine, it still cannot meet the clinical needs of patients with RHF. How to further reduce the mortality rate and readmission rate of patients with RHF and improve their quality of life is still a difficult point in current research. In China, traditional Chinese medicine (TCM) has been widely used and has accumulated rich experience in the treatment of RHF due to its unique efficacy and safety advantages. Based on this, we comprehensively summarized and analyzed the clinical evidence and mechanism of action of TCM in the treatment of RHF and proposed urgent scientific issues and future research strategies for the treatment of RHF with TCM, to provide reference for the treatment of RHF.

RESUMEN

We propose to critically evaluate and strengthen the level of clinical evidence in psychoanalysis, using a strategy of triangulating clinical phenomena from different perspectives and increasing contextual knowledge. Insufficient discussion of alternative hypotheses and limited contextual information are two Achilles heels of psychoanalytic case presentations. We examine the concept and quality standards of clinical evidence in psychoanalysis and related disciplines, with particular attention to the contribution of the three-level model (3-LM). We analyze the case of a patient treated with transference-focused psychotherapy (TFP), making explicit the theoretical-clinical agreements and disagreements of the authors. We discuss the strengths and limitations of triangulation and contextualization, concluding that they make clinical work and psychoanalytic writing more reliable, transparent, auditable, and replicable.

Asunto(s)

RESUMEN

This study aims to construct the element relationship and extension path of clinical evidence knowledge map with Chinese patent medicine, providing basic technical support for the formation and transformation of the evidence chain of Chinese patent medicine and providing collection, induction, and summary schemes for massive and disorganized clinical data. Based on the elements of evidence-based PICOS, the conventional construction methods of knowledge graph were collected and summarized. Firstly, the data entities related to Chinese patent medicine were classified, and entity linking was performed(disambiguation). Secondly, the study associated and classified the attribute information of the data entity. Finally, the logical relationship between entities was constructed, and then the element relationship and extension path of the knowledge map conforming to the characteristics of clinical evidence of Chinese patent medicine were summarized. The construction of the clinical evidence knowledge map of Chinese patent medicine was mainly based on process design and logical structure, and the element relationship of the knowledge map was expressed according to the PICOS principle and evidence level. The extension path crossed three levels(model layer, data layer application, and new evidence application), and the study gradually explored the path from disease, core evaluation indicators, Chinese patent medicine, core prescriptions, syndrome and treatment rules, and medical case comparison(evolution law) to new drug research and development. In this study, the top-level design of the construction of the clinical evidence knowledge map of Chinese patent medicine has been clarified, but it still needs the joint efforts of interdisciplinary disciplines. With the continuous improvement of the map construction technology in line with the characteristics of TCM, the study can provide necessary basic technical support and reference for the development of the TCM discipline.

Asunto(s)

RESUMEN

Clinical evidence is crucial in enabling the judicious adoption of technological innovations in radiation therapy (RT). Pharmaceutical evidence development frameworks are not useful for understanding how technical advances are maturing. In this paper, we introduce a new framework, the Radiation Therapy Technology Evidence Matrix (rtTEM), that helps visualize how the clinical evidence supporting new technologies is developing. The matrix is a unique 2D model based on the R-IDEAL clinical evaluation framework. It can be applied to clinical hypothesis testing trials, as well as publications reporting clinical treatment. We present the rtTEM and illustrate its application, using emerging and mature RT technologies as examples. The model breaks down the type of claim along the vertical axis and the strength of the evidence for that claim on the horizontal axis, both of which are inherent in clinical hypothesis testing. This simplified view allows for stakeholders to understand where the evidence is and where it is heading. Ultimately, the value of an innovation is typically demonstrated through superiority studies, which we have divided into three key categories - administrative, toxicity and control, to enable more detailed visibility of evidence development in that claim area. We propose the rtTEM can be used to track evidence development for new interventions in RT. We believe it will enable researchers and sponsors to identify gaps in evidence and to further direct evidence development. Thus, by highlighting evidence looked for by key policy decision makers, the rtTEM will support wider, timely patient access to high value technological advances.

RESUMEN

Background: Urosepsis is a common disease in urology, which is characterized by high treatment costs and high mortality. In the treatment of sepsis, anti-infection therapy is the most important means. However, the effect of empirical anti-infection therapy is often not ideal. Therefore, it is necessary to continuously monitor the prevalence of bacterial isolates in the blood culture of patients with urinary sepsis and their sensitivity to antibacterial drugs. This is of great significance to improve the efficacy of empirical antibiotic therapy for urosepsis. Objective: To elucidate the landscape of prevailing bacterial profiles and their antimicrobial susceptibilities in urosepsis cases, and to furnish robust clinical evidence to underpin the timely initiation of empirical antibiotic treatment. Methods: Collect the basic information and blood culture results of patients with urosepsis hospitalized from 2017 to 2020. Retrospective analysis of bacterial species and antimicrobial susceptibility in urosepsis and changes over 4 years. Results: Gram-negative bacteria (178 isolates, 75.11%) constituted the main pathogens causing urosepsis, followed by Gram-positive bacteria (46 isolates, 19.41%) and fungus (13 isolates, 5.48%). The sensitivity of ertapenem, meropenem, amikacin, and imipenem to Gram-negative bacteria all exceeded 85%. The sensitivity rates of levofloxacin, gentamicin, and ciprofloxacin are decreasing every year (p < 0.05). Tigecycline, vancomycin, and linezolid exhibited excellent sensitivity against Gram-positive bacteria. Among fungi, fluconazole demonstrated universal sensitivity, while itraconazole-resistant isolates have been found, and amphotericin B is still effective. Conclusion: Analysis of blood culture results of patients more accurately reflected the etiology of urosepsis, mainly Escherichia coli, Enterococcus, and Klebsiella pneumoniae. If there are no definitive blood culture results, empiric treatment of urosepsis should not include fluoroquinolone antibiotics. Cefepime, cefoxitin, and ceftazidime are the most sensitive antibiotics to Gram-negative bacteria besides carbapenem antibiotics. In addition, the current situation regarding extended-spectrum ß-lactamase-producing bacteria and carbapenem-resistant Enterobacteriaceae bacteria resistance is extremely concerning with limited therapeutic options available. Strengthening antibiotic management practices and exploring novel antibacterial agents can help mitigate this issue.

RESUMEN

INTRODUCTION: Biosimilar clinical programs could be streamlined by prudent application of improved methodologies and knowledge accumulated over the past 20 years. This review focuses on whether complex comparative efficacy trials are routinely needed and how to achieve a more tailored approach to biosimilar development. AREAS COVERED: Key learnings over the past 20 years are summarized. It is noted that a one size fits all approach to biosimilar development is not appropriate: biological medicines fall within a wide spectrum of complexity, with blurring at the interface between biological products and small molecules. The interrelationship between quality, potency, pharmacokinetics, pharmacology, immunogenicity, efficacy, and safety are reviewed. Current regulatory thinking is reviewed with a look into what future challenges lie ahead. EXPERT OPINION: To tailor regulatory requirements for marketing approval of biosimilars, it is proposed that a biosimilarity report be introduced. This report would integrate quality, pharmacology, immunogenicity, efficacy and safety findings and address how the clinical program could be tailored based on the totality of evidence.

Asunto(s)

RESUMEN

BACKGROUND: Gastric cancer is a common cause of global mortality, with significant challenges during treatment due to side effects and complications. Traditional herbal medicine (THM) has emerged as a potential adjuvant therapy to enhance cancer treatment by reducing side effects and bolstering the immune response. This study conducted a meta-analysis to assess the efficacy and safety of THM as an adjuvant therapy in post-surgical gastric cancer patients. METHODS: PubMed, Cochrane Library, EMBASE, CNKI, CiNii, KMBASE, KISS, OASIS, RISS, and ScienceON databases were searched from inception through December, 2021. The outcomes considered in this analysis encompassed tumor response, quality of life (QoL), side effects, and tumor markers. Additionally, a frequency analysis of the most commonly used herbs in the included studies was conducted. A total of 36 randomized controlled trials (RCTs) were included, and data were extracted according to study design. The analysis compared groups receiving chemotherapy alone with those receiving both chemotherapy and THM treatment. RESULTS: The group receiving both chemotherapy and THM showed substantial improvement in tumor response compared to the chemotherapy-only control group (RR 1.25, 95% CI [1.09, 1.45]). QoL also significantly increased in the THM-treated group. Most drug adverse reactions displayed statistical significance, except for platelet reduction. Tumor markers CEA, CA19-9, and CA72-4 exhibited significant improvements, but CA125 did not. The 1, 2, and 3-year survival rates improved, with RR values of 1.08 (95% CI [1.02, 1.14]), 1.32 (95% CI [1.19, 1.47]), and 1.42 (95% CI [1.12, 1.79]) respectively. However, some publication bias was indicated. CONCLUSION: THM may offer potential benefits as a complementary approach to post-surgical anticancer therapy in gastric cancer patients. Improved tumor response, quality of life, and survival rates were reported. However, it is important to exercise caution due to the possibility of publication bias, and further research is needed to confirm these findings.Registration:PROSPERO CRD 42022354133.

Asunto(s)

RESUMEN

Early detection of atrial fibrillation (AF) is crucial for its effective management and prevention. Various methods for detecting AF using deep learning (DL) based on supervised learning with a large labeled dataset have a remarkable performance. However, supervised learning has several problems, as it is time-consuming for labeling and has a data dependency problem. Moreover, most of the DL methods do not provide any clinical evidence to physicians regarding the analysis of electrocardiography (ECG) for classification or detection of AF. To address these limitations, in this study, we proposed a novel AF diagnosis system using unsupervised learning for anomaly detection with three segments, PreQ, QRS, and PostS, based on the normal ECG. Two independent datasets, PTB-XL and China, were used in three experiments. We used a long short-term memory (LSTM)-based autoencoder to train the segments of the normal ECG. Based on the threshold of anomaly scores using mean squared error (MSE), it distinguished between normal and AF segments. In Experiment A, the best score was that of PreQ, which detected AF with an AUROC score of 0.96. In Experiment B and C for cross validation of each dataset, the best scores were also of PreQ, with AUROC scores of 0.9 and 0.95, respectively. To verify the significance of the anomaly score in distinguishing between AF and normal segments, we utilized an XG-Boosted model after generating anomaly scores in the three segments. The XG-Boosted model achieved an AUROC score of 0.98 and an F1 score of 0.94. AF detection using DL has been controversial among many physicians. However, our study differentiates itself from previous studies in that we can demonstrate evidence that distinguishes AF from normal segments based on the anomaly score.