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Heliyon May 2023The prediabetes population is large and easily overlooked because of the lack of obvious symptoms, which can progress to diabetes. Early screening and targeted... (Review)
Review
BACKGROUNDS
The prediabetes population is large and easily overlooked because of the lack of obvious symptoms, which can progress to diabetes. Early screening and targeted interventions can substantially reduce the rate of conversion of prediabetes to diabetes. Therefore, this study systematically reviewed prediabetes risk prediction models, performed a summary and quality evaluation, and aimed to recommend the optimal model.
METHODS
We systematically searched five databases (Cochrane, PubMed, Embase, Web Of Science, and CNKI) for published literature related to prediabetes risk prediction models and excluded preprints, duplicate publications, reviews, editorials, and other studies, with a search time frame of March 01, 2023. Data were categorized and summarized using a standardized data extraction form that extracted data including author; publication date; study design; country; demographic characteristics; assessment tool name; sample size; study type; and model-related indicators. The PROBAST tool was used to assess the risk of bias profile of included studies.
FINDINGS
14 studies with a total of 15 models were eventually included in the systematic review. We found that the most common predictors of models were age, family history of diabetes, gender, history of hypertension, and BMI. Most of the studies (83.3%) had a high risk of bias, mainly related to under-reporting of outcome information and poor methodological design during the development and validation of models. Due to the low quality of included studies, the evidence for predictive validity of the available models is unclear.
INTERPRETATION
We should pay attention to the early screening of prediabetes patients and give timely pharmacological and lifestyle interventions. The predictive performance of the existing model is not satisfactory, and the model building process can be standardized and external validation can be added to improve the accuracy of the model in the future.
PubMed: 37215820
DOI: 10.1016/j.heliyon.2023.e15529 -
Vascular Jun 2023Abdominal aortic aneurysm (AAA) is a deadly disease in the elderly population. Currently, the association between single nucleotide polymorphisms (SNPs) and the presence... (Meta-Analysis)
Meta-Analysis Review
Association between gene polymorphism of inflammatory factors, thrombogenic factors, and stress-related proteins and abdominal aortic aneurysm: A meta-analysis and systematic review.
BACKGROUND
Abdominal aortic aneurysm (AAA) is a deadly disease in the elderly population. Currently, the association between single nucleotide polymorphisms (SNPs) and the presence of AAAs has become a hot topic and is a concern for many researchers.
METHOD
We performed a document retrieval in PubMed, EMBASE, and the Cochrane Library (to January 2020). A total of 17 case-control reports on SNPs of AAAs and eight SNPs of correlation factors were selected. All essential data, including race, age, country, criteria of AAA diagnosis, method of AAA measurement, method of genotype detection, name of SNPs, minor allele frequency (MAF), Hardy Weinberg equilibrium (HWE) of the control group, and number of cases and control groups were extracted by two reviewers independently. The fixed-effect model and random-effect model were used to calculate the overall odds ratios (ORs) and 95% confidence intervals (CIs). The association between selected SNPs and the presence of AAAs was evaluated under different genetic models (dominant, codominant, recessive, overdominant, and allele models).
RESULTS
A total of 17 articles (sample size ranging from to 42-665 AAA cases and 49-2,297 controls) and 23 SNPs of related factors were identified. Eight SNPs were assessed in at least two studies and were selected for further meta-analysis. We found that the A allele of interleukin (IL)-10 (-1082 G/A) (OR: 1.35, 95% CI: 1.18-1.54, < 0.0001) was a risk factor for AAAs under random and fixed-effect models. In addition, partial genetic models of these SNPs were confirmed to be related to the presence of AAA. Subgroup analysis revealed that haptoglobin (HP)-1 was a risk factor for AAAs (OR: 1.30, 95% CI: 1.04-1.63, = 0.02) in the European population. No association was found between the occurrence of AAA and the other SNPs.
CONCLUSION
In our current meta-analysis, we speculated that the genotype distribution of IL-10 (-1082 G/A) may be associated with the emergence of AAA.
Topics: Aged; Humans; Aortic Aneurysm, Abdominal; Case-Control Studies; Gene Frequency; Genetic Predisposition to Disease; Polymorphism, Single Nucleotide; Risk Factors
PubMed: 35287513
DOI: 10.1177/17085381221077502 -
Journal of Affective Disorders Feb 2020Emotional disorders, such as anxiety and depression, are one of the main causes of disability worldwide. Recent reviews suggest that Acceptance and Commitment Therapy is...
BACKGROUND
Emotional disorders, such as anxiety and depression, are one of the main causes of disability worldwide. Recent reviews suggest that Acceptance and Commitment Therapy is effective in treating emotional disorders. However, they appraise mainly individual approaches. This review aimed to analyze published studies regarding the usefulness of Acceptance and Commitment Therapy, applied on a group basis, in the treatment of anxiety and depression.
METHODS
A systematic review of the literature was conducted using the Web of Science, from 2008 to 2019. Fifteen articles fulfilled the inclusion criteria.
RESULTS
Those patients who received interventions based on Acceptance and Commitment Therapy showed a better emotional state and greater psychological flexibility than patients in control groups without treatment. No differences are found with Cognitive Therapy and Cognitive-Behavioral Therapy.
LIMITATIONS
the studies reviewed show limitations, principally regarding sample characteristics, study design and manner in which mechanisms responsible for changes are evaluated.
CONCLUSION
Group-based Acceptance and Commitment Therapy proved to be useful in the psychological treatment of emotional disorders. However, the heterogeneity and limitations of the studies, make it impossible to determine the exact therapeutic elements, and if they are specific to the approach and procedure of this therapy. More research would be necessary to ascertain what patient and/or intervention characteristics might improve results and what the active and specific ingredients of the therapy are. This has clinical relevance because group-based interventions could be more cost-efficient, and it would help facilitate health-care decisions aimed at giving the public access to useful treatments.
Topics: Acceptance and Commitment Therapy; Anxiety; Anxiety Disorders; Cognitive Behavioral Therapy; Depression; Humans
PubMed: 31818766
DOI: 10.1016/j.jad.2019.11.154 -
Reviews in Medical Virology May 2022This study aimed to systematically assess COVID-19 patient background characteristics and pre-existing comorbidities associated with hospitalisation status. The... (Meta-Analysis)
Meta-Analysis Review
This study aimed to systematically assess COVID-19 patient background characteristics and pre-existing comorbidities associated with hospitalisation status. The meta-analysis included cross-sectional, cohort, and case-series studies with information on hospitalisation versus outpatient status for COVID-19 patients, with background characteristics and pre-existing comorbidities. A total of 1,002,006 patients from 40 studies were identified. Significantly higher odds of hospitalisation were observed in Black individuals (OR = 1.33, 95% CI: 1.04-1.70), males (OR = 1.59, 95% CI: 1.43-1.76), and persons with current/past smoking (OR = 1.59, 95% CI: 1.34-1.88). Additionally, individuals with pre-existing comorbidities were more likely to be hospitalised [asthma (OR = 1.22, 95% CI: 1.02-1.45), COPD (OR = 3.68, 95% CI: 2.97-4.55), congestive heart failure (OR = 6.80, 95% CI: 4.97-9.31), coronary heart disease (OR = 4.40, 95% CI: 3.15-6.16), diabetes (OR = 3.90, 95% CI: 3.29-4.63), hypertension (OR = 3.89, 95% CI: 3.34-4.54), obesity (OR = 1.98, 95% CI: 1.59-2.46) and renal chronic disease (OR = 5.84, 95% CI: 4.51-7.56)]. High heterogeneity and low publication bias among all factors were found. Age was not included due to the large variability in the estimates reported. In this systematic review/meta-analysis for patients with COVID-19, Black patients, males, persons who smoke, and those with pre-existing comorbidities were more likely to be hospitalised than their counterparts. Findings provide evidence of populations with higher odds of hospitalisation for COVID-19.
Topics: COVID-19; Comorbidity; Cross-Sectional Studies; Humans; Hypertension; Male; Outpatients
PubMed: 34674338
DOI: 10.1002/rmv.2306 -
Artificial Intelligence in Medicine Oct 2022Early detection and prediction of suicidal behaviour are key factors in suicide control. In conjunction with recent advances in the field of artificial intelligence,... (Review)
Review
BACKGROUND
Early detection and prediction of suicidal behaviour are key factors in suicide control. In conjunction with recent advances in the field of artificial intelligence, there is increasing research into how machine learning can assist in the detection, prediction and treatment of suicidal behaviour. Therefore, this study aims to provide a comprehensive review of the literature exploring machine learning techniques in the study of suicidal behaviour prediction.
METHODS
A search of four databases was conducted: Web of Science, PubMed, Dimensions, and Scopus for research papers dated between January 2016 and September 2021. The search keywords are 'data mining', 'machine learning' in combination with 'suicidal behaviour', 'suicide', 'suicide attempt', 'suicidal ideation', 'suicide plan' and 'self-harm'. The studies that used machine learning techniques were synthesized according to the countries of the articles, sample description, sample size, classification tasks, number of features used to develop the models, types of machine learning techniques, and evaluation of performance metrics.
RESULTS
Thirty-five empirical articles met the criteria to be included in the current review. We provide a general overview of machine learning techniques, examine the feature categories, describe methodological challenges, and suggest areas for improvement and research directions. Ensemble prediction models have been shown to be more accurate and useful than single prediction models.
CONCLUSIONS
Machine learning has great potential for improving estimates of future suicidal behaviour and monitoring changes in risk over time. Further research can address important challenges and potential opportunities that may contribute to significant advances in suicide prediction.
Topics: Artificial Intelligence; Data Mining; Humans; Machine Learning; Suicidal Ideation
PubMed: 36207078
DOI: 10.1016/j.artmed.2022.102395 -
American Journal of Public Health Mar 2023Schools are sites of dating and relationship violence (DRV) and of gender-based violence (GBV) victimization and perpetration. School-based interventions can reach a... (Meta-Analysis)
Meta-Analysis
Schools are sites of dating and relationship violence (DRV) and of gender-based violence (GBV) victimization and perpetration. School-based interventions can reach a broad range of students, targeting both individual and group processes that may underpin DRV and GBV. Considering DRV and GBV jointly is important because of their shared etiologies. Comparing the effectiveness of interventions using network meta-analysis (NMA) can support decision-making on optimal resource use. To evaluate the comparative effectiveness of school-based interventions for children aged 5 to 18 years on DRV and GBV victimization, perpetration, and related mediators. We searched 21 databases in July 2020 and June 2021, alongside extensive supplementary search methods, including gray literature searches, forward and backward citation chasing, and searches on first and last author names. We included randomized-controlled trials of interventions for children of compulsory school age implemented within the school setting, and either partially or wholly aimed at changing DRV or GBV outcomes. Pairwise meta-analyses using random-effects robust variance estimation considered intervention effectiveness on DRV and GBV victimization and perpetration using odds ratios, and on mediators (e.g., knowledge and attitudes) using standardized mean differences. Effects were divided into short-term (< 12 months postbaseline) and long-term (≥ 12 months postbaseline). NMAs on victimization and perpetration outcomes compared interventions categorized by breadth of mechanism and complexity of delivery and implementation. Meta-regression tested sensitivity to percentage of girls in the trial sample and country context. Our analysis included 68 trials. Evidence was stronger overall for effects on DRV than for GBV, with significant long-term impacts on DRV victimization (odds ratio [OR] = 0.82; 95% confidence interval [CI] = 0.68, 0.99) and DRV perpetration (OR = 0.78; 95% CI = 0.64, 0.94). Knowledge and attitudinal effects were predominantly short-term (e.g., for DRV-related violence acceptance, = 0.16; 95% CI = 0.08, 0.24). NMAs did not suggest the superiority of any intervention type; however, most analyses for GBV outcomes were inconsistent. A higher proportion of girls in the sample was associated with increased effectiveness on long-term victimization outcomes. Evidence is stronger for DRV than for GBV, despite considerable heterogeneity. Certainty of findings was low or very low overall. Violence reductions may require more than 1 school year to become apparent. More extensive interventions may not be more effective. A possible reason for stronger effectiveness for DRV is that whereas GBV is ingrained in school cultures and practices, DRV is potentially more open to change via addressing individual knowledge and attitudes. (. 2023;113(3):320-330. https://doi.org/10.2105/10.2105/AJPH.2022.307153).
Topics: Child; Female; Humans; Gender-Based Violence; Network Meta-Analysis; Violence; Crime Victims; Attitude
PubMed: 36791352
DOI: 10.2105/AJPH.2022.307153 -
Heliyon Mar 2024Self-harm (any self-injury or -poisoning regardless of intent) is highly prevalent in transgender and gender diverse (TGD) populations. It is strongly associated with... (Review)
Review
BACKGROUND
Self-harm (any self-injury or -poisoning regardless of intent) is highly prevalent in transgender and gender diverse (TGD) populations. It is strongly associated with various adverse health and wellbeing outcomes, including suicide. Despite increased risk, TGD individuals' unique self-harm pathways are not well understood. Following PRISMA guidelines we conducted the first systematic review of risk and protective factors for self-harm in TGD people to identify targets for prevention and intervention.
METHODS
We searched five electronic databases (PubMed, PsychInfo, Scopus, MEDLINE, and Web of Science) published from database inception to November 2023 for primary and secondary studies of risk and/or protective factors for self-harm thoughts and behaviours in TGD people. Data was extracted and study quality assessed using Newcastle-Ottawa Scales.
FINDINGS
Overall, 78 studies published between 2007 and 2023 from 16 countries (N = 322,144) were eligible for inclusion. Narrative analysis identified six key risk factors for self-harm in TGD people (aged 7-98years) were identified. These are younger age, being assigned female at birth, illicit drug and alcohol use, sexual and physical assault, gender minority stressors (especially discrimination and victimisation), and depression or depressive symptomology. Three important protective factors were identified: social support, connectedness, and school safety. Other possible unique TGD protective factors against self-harm included: chosen name use, gender-identity concordant documentation, and protective state policies. Some evidence of publication bias regarding sample size, non-responders, and confounding variables was identified.
INTERPRETATION
This systematic review indicates TGD people may experience a unique self-harm pathway. Importantly, the risk and protective factors we identified provide meaningful targets for intervention. TGD youth and those assigned female at birth are at increased risk. Encouraging TGD people to utilise and foster existing support networks, family/parent and peer support groups, and creating safe, supportive school environments may be critical for self-harm and suicide prevention strategies. Efforts to reduce drug and alcohol use and experiences of gender-based victimisation and discrimination are recommended to reduce self-harm in this high-risk group. Addressing depressive symptoms may reduce gender dysphoria and self-harm. The new evidence presented in this systematic review also indicates TGD people may experience unique pathways to self-harm related to the lack of social acceptance of their gender identity. However, robust longitudinal research which examines gender-specific factors is now necessary to establish this pathway.
PubMed: 38468947
DOI: 10.1016/j.heliyon.2024.e26074 -
Paediatric Respiratory Reviews Mar 2021Birth cohort studies are a valuable source of information about potential risk factors for childhood asthma. To better understand similarities and variations in findings... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Birth cohort studies are a valuable source of information about potential risk factors for childhood asthma. To better understand similarities and variations in findings between birth cohort studies, the methodologies used to measure asthma require consideration.
OBJECTIVE
To review and appraise the definitions of "asthma" used in birth cohort studies.
METHODS
A literature search, conducted in December 2017 in the MEDLINE database and birth cohort repositories, identified 1721 citations published since 1990. Information extracted included: study name, year of publication, sample size, sample age, prevalence of asthma (%), study region, source of information about asthma, measured outcome, and asthma case definition. A meta-analysis evaluated whether asthma prevalence in cohorts from Europe and North America varied by the studies' definition of asthma and by their data sources.
RESULTS
The final review included 67 birth cohorts, of which 48 (72%) were from Europe, 14 (21%) from North America, 3 (5%) from Oceania, 1 (1%) from Asia and 1 (1%) from South America. We identified three measured outcomes: "asthma ever", "current asthma", and "asthma" without further specification. Definitions of "asthma ever" were primarily based upon an affirmative parental response to the question whether the child had ever been diagnosed with asthma by a physician. The most frequently used definition of "current asthma" was "asthma ever" and either asthma symptoms or asthma medications in the last 12 months. This definition of "current asthma" was used in 16 cohorts. There was no statistically significant difference in the pooled asthma prevalence in European and North American cohorts that used questionnaire alone versus other data sources to classify asthma.
CONCLUSION
There is substantial heterogeneity in childhood asthma definitions in birth cohort studies. Standardisation of asthma case definitions will improve the comparability and utility of future cohort studies and enable meta-analyses.
Topics: Asthma; Child; Cohort Studies; Humans; Parents; Prevalence; Risk Factors
PubMed: 32653466
DOI: 10.1016/j.prrv.2019.12.005 -
Asia-Pacific Psychiatry : Official... Jun 2021This review aimed to systematically investigate patients' and caregivers' knowledge and beliefs about mental illness in mainland China. A total of 48 eligible studies... (Review)
Review
This review aimed to systematically investigate patients' and caregivers' knowledge and beliefs about mental illness in mainland China. A total of 48 eligible studies (N = 11 895) were retrieved from eight electronic databases. Prevalence statistics were computed for themes (eg, stress) under each construct relating to knowledge or belief about mental illness (eg, beliefs about causes). Effect size r was calculated for each correlation with an identified construct. We found that only 27.8% of patients recognized the symptoms of schizophrenia. Although 65% of caregivers declared that they knew the names of the disorders that their ill relatives had, depression (43.6%), schizophrenia (28.5%) and anxiety disorders (18.1%) had low recognition rates. Both caregivers and patients preferred psychosocial explanations of mental illness. Pharmacological interventions (eg, antipsychotics), non-specific actives (eg, "getting out and learning more"), mental health professionals (eg, psychiatrists) and informal support (eg, family) were each considered helpful for different disorders by caregivers, whereas regular contact with mental health professionals was not highly rated as helpful by patients. Additionally, while more patients knew about the effects of the medications that they were taking, more caregivers emphasized the importance of medicine adherence. Psychosocial variables (eg, family burden) demonstrated significant effects on both groups' mental health literacy. The government should invest more in supporting caregivers of people with mental disorders and monitor the implementation of mental health policies.
Topics: Anxiety Disorders; Caregivers; China; Humans; Mental Disorders; Mental Health; Schizophrenia
PubMed: 32935477
DOI: 10.1111/appy.12423 -
Environmental Pollution (Barking, Essex... Dec 2022Per-and polyfluoroalkyl substances (PFAS) is a collective name for approximately 4700 synthetic chemicals ubiquitous in the aquatic environment worldwide. They are used... (Meta-Analysis)
Meta-Analysis Review
Per-and polyfluoroalkyl substances (PFAS) is a collective name for approximately 4700 synthetic chemicals ubiquitous in the aquatic environment worldwide. They are used in a wide array of products and are found in living organisms around the world. Some PFAS have been associated with cancer, developmental toxicity, endocrine disruption, and other health effects. Only a fraction of PFAS are currently monitored and regulated and the presence and effects on aquatic organisms of many PFAS are largely unknown. The aim of this study is to investigate the health effects of environmentally relevant concentrations of PFAS on aquatic organisms at different consumer trophic levels through a systematic review and meta-analysis. The main result shows that PFAS in concentrations up to 13.5 μg/L have adverse effects on body size variables for secondary consumers. However, no significant effects on liver or gonad somatic indices and neither on fecundity were found. In addition, the results show that there are large research gaps for PFAS effects on different organisms in aquatic environments at environmentally relevant concentrations. Most studies have been performed on secondary consumers and there is a substantial lack of studies on other consumers in aquatic ecosystems.
Topics: Fluorocarbons; Aquatic Organisms; Ecosystem
PubMed: 36244496
DOI: 10.1016/j.envpol.2022.120422