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JAMA Psychiatry Apr 2024In the last 25 years, functional magnetic resonance imaging drug cue reactivity (FDCR) studies have characterized some core aspects in the neurobiology of drug...
IMPORTANCE
In the last 25 years, functional magnetic resonance imaging drug cue reactivity (FDCR) studies have characterized some core aspects in the neurobiology of drug addiction. However, no FDCR-derived biomarkers have been approved for treatment development or clinical adoption. Traversing this translational gap requires a systematic assessment of the FDCR literature evidence, its heterogeneity, and an evaluation of possible clinical uses of FDCR-derived biomarkers.
OBJECTIVE
To summarize the state of the field of FDCR, assess their potential for biomarker development, and outline a clear process for biomarker qualification to guide future research and validation efforts.
EVIDENCE REVIEW
The PubMed and Medline databases were searched for every original FDCR investigation published from database inception until December 2022. Collected data covered study design, participant characteristics, FDCR task design, and whether each study provided evidence that might potentially help develop susceptibility, diagnostic, response, prognostic, predictive, or severity biomarkers for 1 or more addictive disorders.
FINDINGS
There were 415 FDCR studies published between 1998 and 2022. Most focused on nicotine (122 [29.6%]), alcohol (120 [29.2%]), or cocaine (46 [11.1%]), and most used visual cues (354 [85.3%]). Together, these studies recruited 19 311 participants, including 13 812 individuals with past or current substance use disorders. Most studies could potentially support biomarker development, including diagnostic (143 [32.7%]), treatment response (141 [32.3%]), severity (84 [19.2%]), prognostic (30 [6.9%]), predictive (25 [5.7%]), monitoring (12 [2.7%]), and susceptibility (2 [0.5%]) biomarkers. A total of 155 interventional studies used FDCR, mostly to investigate pharmacological (67 [43.2%]) or cognitive/behavioral (51 [32.9%]) interventions; 141 studies used FDCR as a response measure, of which 125 (88.7%) reported significant interventional FDCR alterations; and 25 studies used FDCR as an intervention outcome predictor, with 24 (96%) finding significant associations between FDCR markers and treatment outcomes.
CONCLUSIONS AND RELEVANCE
Based on this systematic review and the proposed biomarker development framework, there is a pathway for the development and regulatory qualification of FDCR-based biomarkers of addiction and recovery. Further validation could support the use of FDCR-derived measures, potentially accelerating treatment development and improving diagnostic, prognostic, and predictive clinical judgments.
Topics: Humans; Magnetic Resonance Imaging; Cues; Substance-Related Disorders; Behavior, Addictive; Biomarkers
PubMed: 38324323
DOI: 10.1001/jamapsychiatry.2023.5483 -
Heliyon Jan 2024This study aimed at determining the effects of technology adoption on farmers' well-being. Specifically, we analysed and extended the current understanding of the topic... (Review)
Review
This study aimed at determining the effects of technology adoption on farmers' well-being. Specifically, we analysed and extended the current understanding of the topic by focusing on the concepts of technology adoption and well-being. The data were sourced from 30 papers that were selected based on specific criteria from the WoS and Scopus databases. They were acquired through a systematic search and quality appraisal process. The adopted technology can be grouped into sustainable agricultural practices and innovations, digital agriculture and information technology, precision farming and resource management, financial inclusion and agricultural transactions, remote sensing and satellite technology, and agricultural programs and initiatives. Most papers indicated that technology adoption improved farmers' well-being which was basically measured using productivity and income. The measure however lacked farmers' value judgments, such as happiness. Agricultural technology could have a mixed effect on farmers' well-being, depending on the type of technology adopted and the compatibility of farmers with technology in their agricultural practices. This study will assist researchers in developing an appropriate framework and strategy to improve farmers' welfare, which can alleviate poverty. These may further help policymakers identify the best technological innovations that can improve farmers' economic and social welfare, thereby facilitating the development of plans to meet farmers' needs and interests. Finally, the study suggested future research directions for researchers and academics.
PubMed: 38312653
DOI: 10.1016/j.heliyon.2024.e24316 -
BMC Pregnancy and Childbirth Jan 2024Pregnant people who use unregulated drugs (PPWUD) are at high risk of health complications yet experience a range of barriers to sexual and reproductive health care.... (Review)
Review
BACKGROUND
Pregnant people who use unregulated drugs (PPWUD) are at high risk of health complications yet experience a range of barriers to sexual and reproductive health care. Given that improving maternal health and access to reproductive health care are key targets underpinning the Sustainable Development Goals (SDG), there is an urgent need to improve access to appropriate supports and services for this population. Little is known about what programs and practices exist to support PPWUD's access to sexual and reproductive health care. This scoping review aimed to identify the available literature on these programs and practices in Canada.
METHODS
A scoping review was conducted using JBI methodology and reported using PRISMA guidelines. Scholarly databases and grey literature sources were searched to identify literature published between 2016-2023 in English or French that discussed, defined, conceptualised, or evaluated programs and practices that support PPWUD's access to sexual and reproductive health care in Canada. Identified literature was screened using Covidence. Data were extracted from included texts, then analysed descriptively. Frequencies and key concepts were reported.
RESULTS
A total of 71 articles were included, most of which were grey literature. Of the total, 46 unique programs were identified, as well as several useful practices. Most programs were in urban centres in Western Canada, and most programs offered holistic 'wrap-around services.' Several programs delivered these services on-site or as 'drop-in' programs with the support of staff with lived/living experience of substance use. Most frequent program outcomes included keeping parents and children together, improving connection to other services, and reducing substance use harms. Noted helpful practices included non-judgmental care and the use of harm-reduction strategies.
CONCLUSIONS
Several programs and practices that support PPWUD exist in Canada, though few focus exclusively on sexual and reproductive health. There remain opportunities to improve access to programs, including expanding geographic availability and range of services. The review has clinical application by providing an overview of available programs that may support clinicians in identifying services for PPWUD. Future research should consider client perspectives and experiences of these programs.
REVIEW REGISTRATION NUMBER
Open Science Framework https://osf.io/5y64j .
Topics: Child; Female; Pregnancy; Humans; Reproductive Health; Sexual Behavior; Reproduction; Canada; Substance-Related Disorders
PubMed: 38254076
DOI: 10.1186/s12884-023-06225-w -
The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.Journal of Medical Internet Research Jan 2024Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the... (Review)
Review
BACKGROUND
Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial intelligence studies in medicine.
OBJECTIVE
We aimed to systematically review the reporting quality of machine learning (ML) studies of pediatric DM using the Minimum Information About Clinical Artificial Intelligence Modelling (MI-CLAIM) checklist, a general reporting guideline for medical artificial intelligence studies.
METHODS
We searched the PubMed and Web of Science databases from 2016 to 2020. Studies were included if the use of ML was reported in children with DM aged 2 to 18 years, including studies on complications, screening studies, and in silico samples. In studies following the ML workflow of training, validation, and testing of results, reporting quality was assessed via MI-CLAIM by consensus judgments of independent reviewer pairs. Positive answers to the 17 binary items regarding sufficient reporting were qualitatively summarized and counted as a proxy measure of reporting quality. The synthesis of results included testing the association of reporting quality with publication and data type, participants (human or in silico), research goals, level of code sharing, and the scientific field of publication (medical or engineering), as well as with expert judgments of clinical impact and reproducibility.
RESULTS
After screening 1043 records, 28 studies were included. The sample size of the training cohort ranged from 5 to 561. Six studies featured only in silico patients. The reporting quality was low, with great variation among the 21 studies assessed using MI-CLAIM. The number of items with sufficient reporting ranged from 4 to 12 (mean 7.43, SD 2.62). The items on research questions and data characterization were reported adequately most often, whereas items on patient characteristics and model examination were reported adequately least often. The representativeness of the training and test cohorts to real-world settings and the adequacy of model performance evaluation were the most difficult to judge. Reporting quality improved over time (r=0.50; P=.02); it was higher than average in prognostic biomarker and risk factor studies (P=.04) and lower in noninvasive hypoglycemia detection studies (P=.006), higher in studies published in medical versus engineering journals (P=.004), and higher in studies sharing any code of the ML pipeline versus not sharing (P=.003). The association between expert judgments and MI-CLAIM ratings was not significant.
CONCLUSIONS
The reporting quality of ML studies in the pediatric population with DM was generally low. Important details for clinicians, such as patient characteristics; comparison with the state-of-the-art solution; and model examination for valid, unbiased, and robust results, were often the weak points of reporting. To assess their clinical utility, the reporting standards of ML studies must evolve, and algorithms for this challenging population must become more transparent and replicable.
Topics: Humans; Child; Artificial Intelligence; Reproducibility of Results; Machine Learning; Diabetes Mellitus; Checklist
PubMed: 38241075
DOI: 10.2196/47430 -
Zhongguo Zhong Yao Za Zhi = Zhongguo... Dec 2023This study systematically searched and sorted out randomized controlled trial(RCT) of acupuncture-moxibustion treatment for non-specific low back pain by scoping review,...
This study systematically searched and sorted out randomized controlled trial(RCT) of acupuncture-moxibustion treatment for non-specific low back pain by scoping review, so as to demonstrate the current state of the research evidence and provide a reference point for future clinical research and healthcare decision-making. Eight commonly used Chinese and English databases were searched, and the search time was from the establishment of the databases to July 7, 2023, so as to analyze the characteristics of the current status of the current research through visualization methods. A total of 50 studies were included, including 23 studies in Chinese and 27 studies in English. The overall number of studies showed an increasing trend. The percentage of studies published in Chinese non-core journals was 42.0%. The disease subtypes of interest were mainly chronic non-specific low back pain, accounting for 68.0% of the studies. The sample sizes of the studies were mainly concentrated in the range of 50-100 cases. A total of 15 types of interventions were categorized, with acupuncture interventions being the most studied. Duration of treatment did not exceed one month in 80.0% of the studies. Only 8.0% of the studies used minimal clinical important difference(MCID) as a basis for judgment. The follow-up period was set within 3 months in 28.0% of the studies, and 82.0% of the studies concluded that acupuncture-moxibustion was effective in the treatment of non-specific lower back pain. Adverse events were reported in 20.0% of the studies. The risk of bias in the included studies was dominated by low risk of bias and uncertain risk of bias, with fewer studies focusing on high risks of bias. In most of the studies, acupuncture-moxibustion was significantly more effective than the control group. The research on acupuncture-moxibustion treatment for non-specific low back pain is developing rapidly, but there are still insufficient studies on psychological state, safety, and other indicators, and there are still some studies with uncertain risks of bias, which is not conducive to the generalization and application of the findings. Therefore, future studies should improve and refine these shortcomings.
Topics: Humans; Acupuncture Therapy; Low Back Pain; Moxibustion; Randomized Controlled Trials as Topic
PubMed: 38211981
DOI: 10.19540/j.cnki.cjcmm.20230915.502 -
Diagnostics (Basel, Switzerland) Jan 2024Artificial intelligence (AI) has emerged as a transformative force in various sectors, including medicine and healthcare. Large language models like ChatGPT showcase... (Review)
Review
Artificial intelligence (AI) has emerged as a transformative force in various sectors, including medicine and healthcare. Large language models like ChatGPT showcase AI's potential by generating human-like text through prompts. ChatGPT's adaptability holds promise for reshaping medical practices, improving patient care, and enhancing interactions among healthcare professionals, patients, and data. In pandemic management, ChatGPT rapidly disseminates vital information. It serves as a virtual assistant in surgical consultations, aids dental practices, simplifies medical education, and aids in disease diagnosis. A total of 82 papers were categorised into eight major areas, which are G1: treatment and medicine, G2: buildings and equipment, G3: parts of the human body and areas of the disease, G4: patients, G5: citizens, G6: cellular imaging, radiology, pulse and medical images, G7: doctors and nurses, and G8: tools, devices and administration. Balancing AI's role with human judgment remains a challenge. A systematic literature review using the PRISMA approach explored AI's transformative potential in healthcare, highlighting ChatGPT's versatile applications, limitations, motivation, and challenges. In conclusion, ChatGPT's diverse medical applications demonstrate its potential for innovation, serving as a valuable resource for students, academics, and researchers in healthcare. Additionally, this study serves as a guide, assisting students, academics, and researchers in the field of medicine and healthcare alike.
PubMed: 38201418
DOI: 10.3390/diagnostics14010109 -
Healthcare (Basel, Switzerland) Dec 2023Clinical reasoning (CR) is a holistic and recursive cognitive process. It allows nursing students to accurately perceive patients' situations and choose the best course... (Review)
Review
BACKGROUND
Clinical reasoning (CR) is a holistic and recursive cognitive process. It allows nursing students to accurately perceive patients' situations and choose the best course of action among the available alternatives. This study aimed to identify the randomised controlled trials studies in the literature that concern clinical reasoning in the context of nursing students.
METHODS
A comprehensive search of PubMed, Scopus, Embase, and the Cochrane Controlled Register of Trials (CENTRAL) was performed to identify relevant studies published up to October 2023. The following inclusion criteria were examined: (a) clinical reasoning, clinical judgment, and critical thinking in nursing students as a primary study aim; (b) articles published for the last eleven years; (c) research conducted between January 2012 and September 2023; (d) articles published only in English and Spanish; and (e) Randomised Clinical Trials. The Critical Appraisal Skills Programme tool was utilised to appraise all included studies.
RESULTS
Fifteen papers were analysed. Based on the teaching strategies used in the articles, two groups have been identified: simulation methods and learning programs. The studies focus on comparing different teaching methodologies.
CONCLUSIONS
This systematic review has detected different approaches to help nursing students improve their reasoning and decision-making skills. The use of mobile apps, digital simulations, and learning games has a positive impact on the clinical reasoning abilities of nursing students and their motivation. Incorporating new technologies into problem-solving-based learning and decision-making can also enhance nursing students' reasoning skills. Nursing schools should evaluate their current methods and consider integrating or modifying new technologies and methodologies that can help enhance students' learning and improve their clinical reasoning and cognitive skills.
PubMed: 38200996
DOI: 10.3390/healthcare12010090 -
Frontiers in Neurology 2023Chronic pain is common, disruptive, and often treatment-resistant. Hence, researchers and clinicians seek alternative therapies for chronic pain. Transcranial... (Review)
Review
BACKGROUND
Chronic pain is common, disruptive, and often treatment-resistant. Hence, researchers and clinicians seek alternative therapies for chronic pain. Transcranial alternating current stimulation (tACS) is an emerging neuromodulation technique that non-invasively modulates neural oscillations in the human brain. tACS induces pain relief by allowing the neural network to restore adequate synchronization. We reviewed studies on the effectiveness of tACS in controlling chronic pain.
METHODS
The PubMed, SCOPUS, Embase, and Cochrane Library databases were systematically searched for relevant studies published until December 6, 2023. The key search phrase for identifying potentially relevant articles was [(Transcranial Alternating Current Stimulation OR tACS) AND pain]. The following inclusion criteria were applied for article selection: (1) studies involving patients with chronic pain; (2) tACS was applied for controlling pain; and (3) follow-up evaluations were performed to assess the degree of pain reduction after the application of tACS.
RESULTS
We identified 2,330 potentially relevant articles. After reading the titles and abstracts and assessing eligibility based on the full-text articles, we included four articles in our review. Among the included studies, tACS was used for fibromyalgia in one study, low back pain (LBP) in two studies, and migraine in one study. In the study on fibromyalgia, it did not show a better pain-reducing effect of tACS compared with sham stimulation. Two studies on LBP showed conflicting results. In migraine, tACS showed a positive pain-reducing effect 24-48 h after its application.
CONCLUSION
There is insufficient research to draw a conclusive judgment on the effectiveness of tACS in controlling chronic pain. More studies across various chronic pain-related diseases are required for a definitive conclusion.
PubMed: 38192572
DOI: 10.3389/fneur.2023.1323520 -
Frontiers in Psychology 2023Previous research suggests that altered experiences of agency are an underlying vulnerability in both schizophrenia and autism. Here, we explore agency as a potential...
INTRODUCTION
Previous research suggests that altered experiences of agency are an underlying vulnerability in both schizophrenia and autism. Here, we explore agency as a potential transdiagnostic factor by conducting a systematic review of existing literature investigating agency in autism and schizophrenia individually and together.
METHODS
Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted three systematic searches on PsycINFO, Embase, Medline, PubMed and Web of Science to identify studies that investigated (1) agency in schizophrenia, (2) agency in autism, and (3) agency in both schizophrenia and autism.
RESULTS
A total of 31 articles met eligibility criteria for inclusion and data extraction, with 24 measuring agency in schizophrenia, 7 investigating agency in autism, and no articles comparing the two. Results show that, compared to control populations, agency is significantly different in every identified schizophrenia study and generally not significantly different in autism.
DISCUSSION
Importantly, we identified a lack of studies using common tasks and a disproportionate number of studies investigating different dimensions of agency across the two conditions, resulting in limited grounds for valid comparison.
SYSTEMATIC REVIEW REGISTRATION
Prospero, CRD42021273373.
PubMed: 38187412
DOI: 10.3389/fpsyg.2023.1280622 -
Nurse Education Today Mar 2024To map current assessment practices for learning outcomes related to nurses' clinical judgment from undergraduate education to entry to practice. (Review)
Review
OBJECTIVE
To map current assessment practices for learning outcomes related to nurses' clinical judgment from undergraduate education to entry to practice.
DESIGN
Scoping review using the Joanna Briggs Institute guidelines and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).
DATA SOURCES
Electronic databases-Cumulative Index of Nursing and Allied Health Literature (CINAHL Complete; EBSCOhost), EMBASE (Ovid), MEDLINE (Ovid), PsycINFO (Ovid), and Web of Science (Social Sciences Citation Index, Citation Index Expanded)-using a combination of descriptors and keywords related to nursing students, newly graduated nurses, clinical judgment and related terms (e.g., critical thinking, clinical reasoning, clinical decision-making, and problem-solving), and assessment.
METHODS
Two reviewers independently extracted study characteristics and, for each outcome relevant to clinical judgment, the concept, definition and framework, assessment tool, and the number and schedule of assessments. Data were synthesized narratively and using descriptive statistics.
RESULTS
Most of the 52 reviewed studies examined the outcome of a discrete educational intervention (76.9 %) in academic settings (78.8 %). Only six studies (11.5 %) involved newly graduated nurses. Clinical judgment (34.6 %), critical thinking (26.9 %), and clinical reasoning (9.6 %) were the three most frequent concepts. Three assessment tools were used in more than one study: the Lasater Clinical Judgment Rubric (n = 22, 42.3 %), the California Critical Thinking Skills Test (n = 9, 17.3 %), and the Health Science Reasoning Test (n = 2, 3.8 %). Eleven studies (21.2 %) used assessment tools designed for the study.
CONCLUSION
In addition to a disparate understanding of underlying concepts, there are minimal published studies on the assessment of nursing students and nurses' clinical judgment, especially for longitudinal assessment from education to clinical practice. Although there is some existing research on this topic, further studies are necessary to establish valid and reliable clinical competency assessment methods that effectively integrate clinical judgment in clinical situations at relevant time points.
Topics: Humans; Judgment; Students, Nursing; Thinking; Education, Nursing, Baccalaureate; Clinical Reasoning
PubMed: 38184981
DOI: 10.1016/j.nedt.2023.106078