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Campbell Systematic Reviews Jun 2024Many intervention studies of summer programmes examine their impact on employment and education outcomes, however there is growing interest in their effect on young... (Review)
Review
REVIEW RATIONALE AND CONTEXT
Many intervention studies of summer programmes examine their impact on employment and education outcomes, however there is growing interest in their effect on young people's offending outcomes. Evidence on summer employment programmes shows promise on this but has not yet been synthesised. This report fills this evidence gap through a systematic review and meta-analysis, covering summer education and summer employment programmes as their contexts and mechanisms are often similar.
RESEARCH OBJECTIVE
The objective is to provide evidence on the extent to which summer programmes impact the outcomes of disadvantaged or 'at risk' young people.
METHODS
The review employs mixed methods: we synthesise quantitative information estimating the impact of summer programme allocation/participation across the outcome domains through meta-analysis using the random-effects model; and we synthesise qualitative information relating to contexts, features, mechanisms and implementation issues through thematic synthesis. Literature searches were largely conducted in January 2023. Databases searched include: Scopus; PsychInfo; ERIC; the YFF-EGM; EEF's and TASO's toolkits; RAND's summer programmes evidence review; key academic journals; and Google Scholar. The review employed PICOSS eligibility criteria: the was disadvantaged or 'at risk' young people aged 10-25; were either summer education or employment programmes; a valid group that did not experience a summer programme was required; studies had to estimate the summer programme's impact on violence and offending, education, employment, socio-emotional and/or health ; eligible were experimental and quasi-experimental; eligible were high-income countries. Other eligibility criteria included publication in English, between 2012 and 2022. Process/qualitative evaluations associated with eligible impact studies or of UK-based interventions were also included; the latter given the interests of the sponsors. We used standard methodological procedures expected by The Campbell Collaboration. The search identified 68 eligible studies; with 41 eligible for meta-analysis. Forty-nine studies evaluated 36 summer education programmes, and 19 studies evaluated six summer employment programmes. The number of participants within these studies ranged from less than 100 to nearly 300,000. The PICOSS criteria affects the external applicability of the body of evidence - allowances made regarding study design to prioritise evidence on UK-based interventions limits our ability to assess impact for some interventions. The risk of bias assessment categorised approximately 75% of the impact evaluations as low quality, due to attrition, losses to follow up, interventions having low take-up rates, or where allocation might introduce selection bias. As such, intention-to-treat analyses are prioritised. The quality assessment rated 93% of qualitative studies as low quality often due to not employing rigorous qualitative methodologies. These results highlight the need to improve the evidence.
RESULTS AND CONCLUSIONS
The quantitative synthesis examined impact estimates across 34 outcomes, through meta-analysis (22) or in narrative form (12). We summarise below the findings where meta-analysis was possible, along with the researchers' judgement of the security of the findings (high, moderate or low). This was based on the number and study-design quality of studies evaluating the outcome; the consistency of findings; the similarity in specific outcome measures used; and any other specific issues which might affect our confidence in the summary findings.Below we summarise the findings from the meta-analyses conducted to assess the impact of allocation to/participation in summer education and employment programmes (findings in relation to other outcomes are also discussed in the main body, but due to the low number of studies evaluating these, meta-analysis was not performed). We only cover the pooled results for the two programme types where there are not clear differences in findings between summer education and summer employment programmes, so as to avoid potentially attributing any impact to both summer programme types when this is not the case. We list the outcome measure, the average effect size type (i.e., whether a standardised mean difference (SMD) or log odds ratio), which programme type the finding is in relation to and then the average effect size along with its 95% confidence interval and the interpretation of the finding, that is, whether there appears to be a significant impact and in which direction (positive or negative, clarifying instances where a negative impact is beneficial). In some instances there may be a discrepancy between the 95% confidence interval and whether we determine there to be a significant impact, which will be due to the specifics of the process for constructing the effect sizes used in the meta-analysis. We then list the statistic and the -value from the homogeneity test as indications of the presence of heterogeneity. As the sample size used in the analysis are often small and the homogeneity test is known to be under-powered with small sample sizes, it may not detect statistically significant heterogeneity when it is in fact present. As such, a 90% confidence level threshold should generally be used when interpreting this with regard to the meta-analyses below. The presence of effect size heterogeneity affects the extent to which the average effects size is applicable to all interventions of that summer programme type. We also provide an assessment of the relative confidence we have in the generalisability of the overall finding (low, moderate or high) - some of the overall findings are based on a small sample of studies, the studies evaluating the outcome may be of low quality, there may be wide variation in findings among the studies evaluating the outcome, or there may be specific aspects of the impact estimates included or the effect sizes constructed that affect the generalisability of the headline finding. These issues are detailed in full in the main body of the review. -Engagement with/participation in/enjoyment of education (SMD):∘Summer education programmes: +0.12 (+0.03, +0.20); positive impact; = 48.76%, = 0.10; moderate confidence.-Secondary education attendance (SMD):∘Summer education programmes: +0.26 (+0.08, +0.44); positive impact; = N/A; = N/A; low confidence.∘Summer employment programmes: +0.02 (-0.03, +0.07); no impact; = 69.98%; = 0.03; low confidence.-Passing tests (log OR):∘Summer education programmes: +0.41 (-0.13, +0.96); no impact; = 95.05%; = 0.00; low confidence.∘Summer employment programmes: +0.02 (+0.00, +0.04); positive impact; = 0.01%; = 0.33; low confidence.-Reading test scores (SMD):∘Summer education programmes: +0.01 (-0.04, +0.05); no impact; = 0.40%; = 0.48; high confidence.-English test scores (SMD):∘Summer education programmes: +0.07 (+0.00, +0.13); positive impact; = 27.17%; = 0.33; moderate confidence.∘Summer employment programmes: -0.03 (-0.05, -0.01); negative impact; = 0.00%; = 0.76; low confidence.-Mathematics test scores (SMD):∘All summer programmes: +0.09 (-0.06, +0.25); no impact; = 94.53%; = 0.00; high confidence.∘Summer education programmes: +0.14 (-0.09, +0.36); no impact; = 94.15%; = 0.00; moderate confidence.∘Summer employment programmes: +0.00 (-0.04, +0.05); no impact; = 0.04%; = 0.92; moderate confidence.-Overall test scores (SMD):∘Summer employment programmes: -0.01 (-0.08, +0.05); no impact; = 32.39%; = 0.20; high confidence.-All test scores (SMD):∘Summer education programmes: +0.14 (+0.00, +0.27); positive impact; = 91.07%; = 0.00; moderate confidence.∘Summer employment programmes: -0.01 (-0.04, +0.01); no impact; = 0.06%; = 0.73; high confidence.-Negative behavioural outcomes (log OR):∘Summer education programmes: -1.55 (-3.14, +0.03); negative impact; = N/A; = N/A; low confidence.∘Summer employment programmes: -0.07 (-0.33, +0.18); no impact; = 88.17%; = 0.00; moderate confidence.-Progression to HE (log OR):∘All summer programmes: +0.24 (-0.04, +0.52); no impact; = 97.37%; = 0.00; low confidence.∘Summer education programmes: +0.32 (-0.12, +0.76); no impact; = 96.58%; = 0.00; low confidence.∘Summer employment programmes: +0.10 (-0.07, +0.26); no impact; = 76.61%; = 0.02; moderate confidence.-Complete HE (log OR):∘Summer education programmes: +0.38 (+0.15, +0.62); positive impact; = 52.52%; = 0.06; high confidence.∘Summer employment programmes: +0.07 (-0.19, +0.33); no impact; = 70.54%; = 0.07; moderate confidence.-Entry to employment, short-term (log OR):∘Summer employment programmes: -0.19 (-0.45, +0.08); no impact; = 87.81%; = 0.00; low confidence.∘Entry to employment, full period (log OR)∘Summer employment programmes: -0.15 (-0.35, +0.05); no impact; = 78.88%; = 0.00; low confidence.-Likelihood of having a criminal justice outcome (log OR):∘Summer employment programmes: -0.05 (-0.15, +0.05); no impact; = 0.00%; = 0.76; low confidence.-Likelihood of having a drug-related criminal justice outcome (log OR):∘Summer employment programmes: +0.16 (-0.57, +0.89); no impact; = 65.97%; = 0.09; low confidence.-Likelihood of having a violence-related criminal justice outcome (log OR):∘Summer employment programmes: +0.03 (-0.02, +0.08); no impact; = 0.00%; = 0.22; moderate confidence.-Likelihood of having a property-related criminal justice outcome (log OR):∘Summer employment programmes: +0.09 (-0.17, +0.34); no impact; = 45.01%; = 0.18; low confidence.-Number of criminal justice outcomes, during programme (SMD):∘Summer employment programmes: -0.01 (-0.03, +0.00); no impact; = 2.17%; = 0.31; low confidence.-Number of criminal justice outcomes, post-programme (SMD):∘Summer employment programmes: -0.01 (-0.03, +0.00); no impact; = 23.57%; = 0.37; low confidence.-Number of drug-related criminal justice outcomes, post-programme (SMD):∘Summer employment programmes: -0.01 (-0.06, +0.06); no impact; = 55.19%; = 0.14; moderate confidence.-Number of violence-related criminal justice outcomes, post-programme (SMD):∘Summer employment programmes: -0.02 (-0.08, +0.03); no impact; = 44.48%; = 0.18; low confidence.-Number of property-related criminal justice outcomes, post-programme (SMD):∘Summer employment programmes: -0.02 (-0.10, +0.05); no impact; = 64.93%; = 0.09; low confidence. We re-express instances of significant impact by programme type where we have moderate or high confidence in the security of findings by translating this to a form used by one of the studies, to aid understanding of the findings. Allocation to a summer education programme results in approximately 60% of individuals moving from never reading for fun to doing so once or twice a month (engagement in/participation in/enjoyment of education), and an increase in the English Grade Point Average of 0.08. Participation in a summer education programme results in an increase in overall Grade Point Average of 0.14 and increases the likelihood of completing higher education by 1.5 times. Signs are positive for the effectiveness of summer education programmes in achieving some of the education outcomes considered (particularly on test scores (when pooled across types), completion of higher education and STEM-related higher education outcomes), but the evidence on which overall findings are based is often weak. Summer employment programmes appear to have a limited impact on employment outcomes, if anything, a negative impact on the likelihood of entering employment outside of employment related to the programme. The evidence base for impacts of summer employment programmes on young people's violence and offending type outcomes is currently limited - where impact is detected this largely results in substantial reductions in criminal justice outcomes, but the variation in findings across and within studies affects our ability to make any overarching assertions with confidence. In understanding the effectiveness of summer programmes, the order of outcomes also requires consideration - entries into education from a summer employment programme might be beneficial if this leads towards better quality employment in the future and a reduced propensity of criminal justice outcomes.
QUALITATIVE SYNTHESIS
Various shared features among different summer education programmes emerged from the review, allowing us to cluster specific types of these interventions which then aided the structuring of the thematic synthesis. The three distinct clusters for summer education programmes were: catch-up programmes addressing attainment gaps, raising aspirations programmes inspiring young people to pursue the next stage of their education or career, and transition support programmes facilitating smooth transitions between educational levels. Depending on their aim, summer education programme tend to provide a combination of: additional instruction on core subjects (e.g., English, mathematics); academic classes including to enhance specialist subject knowledge (e.g., STEM-related); homework help; coaching and mentoring; arts and recreation electives; and social and enrichment activities. Summer employment programmes provide paid work placements or subsidised jobs typically in entry-level roles mostly in the third and public sectors, with some summer employment programmes also providing placements in the private sector. They usually include components of pre-work training and employability skills, coaching and mentoring. There are a number of mechanisms which act as facilitators or barriers to engagement in summer programmes. These include tailoring the summer programme to each young person and individualised attention; the presence of well-prepared staff who provide effective academic/workplace and socio-emotional support; incentives of a monetary (e.g., stipends and wages) or non-monetary (e.g., free transport and meals) nature; recruitment strategies, which are effective at identifying, targeting and engaging participants who can most benefit from the intervention; partnerships, with key actors who can help facilitate referrals and recruitment, such as schools, community action and workforce development agencies; format, including providing social activities and opportunities to support the formation of connections with peers; integration into the workplace, through pre-placement engagement, such as through orientation days, pre-work skills training, job fairs, and interactions with employers ahead of the beginning of the summer programme; and skill acquisition, such as improvements in social skills. In terms of the causal processes which lead from engagement in a summer programme to outcomes, these include: skill acquisition, including academic, social, emotional, and life skills; positive relationships with peers, including with older students as mentors in summer education programmes; personalised and positive relationships with staff; location, including accessibility and creating familiar environments; creating connections between the summer education programme and the students' learning at home to maintain continuity and reinforce learning; and providing purposeful and meaningful work through summer employment programmes (potentially facilitated through the provision of financial and/or non-financial incentives), which makes participants more likely to see the importance of education in achieving their life goals and this leads to raised aspirations. It is important to note that no single element of a summer programme can be identified as generating the causal process for impact, and impact results rather from a combination of elements. Finally, we investigated strengths and weaknesses in summer programmes at both the design and implementation stages. In summer education programmes, design strengths include interactive and alternative learning modes; iterative and progressive content building; incorporating confidence building activities; careful lesson planning; and teacher support which is tailored to each student. Design weaknesses include insufficient funding or poor funding governance (e.g., delays to funding); limited reach of the target population; and inadequate allocation of teacher and pupil groups (i.e., misalignment between the education stage of the pupils and the content taught by staff). Implementation strengths include clear programme delivery guidance and good governance; high quality academic instruction; mentoring support; and strong partnerships. Implementation weaknesses include insufficient planning and lead in time; recruitment challenges; and variability in teaching quality. In summer employment programmes, design strengths include use of employer orientation materials and supervisor handbooks; careful consideration of programme staff roles; a wide range of job opportunities; and building a network of engaged employers. Design weaknesses are uncertainty over funding and budget agreements; variation in delivery and quality of training between providers; challenges in recruitment of employers; and caseload size and management. Implementation strengths include effective job matching; supportive relationships with supervisors; pre-work training; and mitigating attrition (e.g., striving to increase take up of the intervention among the treatment group). Implementation weaknesses are insufficient monitors for the number of participants, and challenges around employer availability.
PubMed: 38873396
DOI: 10.1002/cl2.1406 -
PloS One 2024There is a consistent association between exposure to air pollution and elevated rates of cardiopulmonary illnesses. As public health activities emphasize the paramount...
BACKGROUND
There is a consistent association between exposure to air pollution and elevated rates of cardiopulmonary illnesses. As public health activities emphasize the paramount need to reduce exposure, it is crucial to examine strategies like the antioxidant diet that could potentially protect individuals who are unavoidably exposed.
METHODS
A systematic search was performed in PubMed/Medline, EMBASE, CENTRAL, and ClinicalTrials.gov up to March 31, 2023, for clinical trials assessing dietary supplements against cardiovascular (blood pressure, heart rate, heart rate variability, brachial artery diameter, flow-mediated dilation, and lipid profile) or pulmonary outcomes (pulmonary function and airway inflammation) attributed to air pollution exposure.
RESULTS
After reviewing 4681 records, 18 studies were included. There were contradictory findings on the effects of fish oil and olive oil supplementations on cardiovascular outcomes. Although with limited evidence, fish oil offered protection against pulmonary dysfunction induced by pollutants. Most studies on vitamin C did not find protective cardiovascular effects; however, the combination of vitamin C and E offered protective effects against pulmonary dysfunction but showed conflicting results for cardiovascular outcomes. Other supplements like sulforaphane, L-arginine, n-acetylcysteine, and B vitamins showed potential beneficial effects but need further research due to the limited number of existing trials.
CONCLUSIONS
Although more research is needed to determine the efficacy and optimal dose of anti-inflammatory and antioxidant dietary supplements against air pollution toxicity, this low-cost preventative strategy has the potential to offer protection against outcomes of air pollution exposure.
Topics: Humans; Dietary Supplements; Air Pollution; Antioxidants; Cardiovascular Diseases; Clinical Trials as Topic; Fish Oils; Ascorbic Acid
PubMed: 38870164
DOI: 10.1371/journal.pone.0304402 -
Frontiers in Psychiatry 2024The concept of caring stress and its specific management has received less attention than other dimensions of stress in nurses. Therefore, to clarify the concept of...
OBJECTIVE
The concept of caring stress and its specific management has received less attention than other dimensions of stress in nurses. Therefore, to clarify the concept of caring stress, a scoping review study was designed. This scoping review aimed to investigate the concept of caring stress among clinical nurses and examine the strategies used for its management.
METHODS
This review employed a scoping review methodology to comprehensively map the essential concepts and attributes of the phenomenon by drawing on a wide range of sources. International databases including PubMed, Scopus, Web of Science, Google Scholar, and Scientific Information Database (SID) were searched to gather relevant studies published until October 1, 2023. MESH terms included "caring stress", "care", "stress", "nurse", and "stress management" were used. Two reviewers independently collected data from full-text papers, ensuring that each paper underwent assessment by at least two reviewers.
RESULTS
Out of 104,094 articles initially searched, 22 articles were included in this study. High workloads, transmitting the infection, stressful thoughts, stressful emotions, and stressful communications were the significant concepts and factors of caring stress among nurses. Also, rest breaks during patient care shifts, playing music in the ward, and denial of critical situations were examples of positive and negative coping and management ways to reduce caring stress.
CONCLUSION
Effective stress management strategies can lead to better patient care and safety. Stressed nurses are more likely to make errors or become less vigilant in their duties, impacting patient outcomes. By addressing caring stress, clinical practice can prioritize patient well-being. Further research is required to delve deeper into this critical issue concerning nurses in the future.
PubMed: 38863606
DOI: 10.3389/fpsyt.2024.1337938 -
Translational Psychiatry Jun 2024Excessive and persistent aggressiveness is the most common behavioral problem that leads to psychiatric referrals among children. While half of the variance in childhood...
Excessive and persistent aggressiveness is the most common behavioral problem that leads to psychiatric referrals among children. While half of the variance in childhood aggression is attributed to genetic factors, the biological mechanism and the interplay between genes and environment that results in aggression remains elusive. The purpose of this systematic review is to provide an overview of studies examining the genetics of childhood aggression irrespective of psychiatric diagnosis. PubMed, PsycINFO, and MEDLINE databases were searched using predefined search terms for aggression, genes and the specific age group. From the 652 initially yielded studies, eighty-seven studies were systematically extracted for full-text review and for further quality assessment analyses. Findings show that (i) investigation of candidate genes, especially of MAOA (17 studies), DRD4 (13 studies), and COMT (12 studies) continue to dominate the field, although studies using other research designs and methods including genome-wide association and epigenetic studies are increasing, (ii) the published articles tend to be moderate in sizes, with variable methods of assessing aggressive behavior and inconsistent categorizations of tandem repeat variants, resulting in inconclusive findings of genetic main effects, gene-gene, and gene-environment interactions, (iii) the majority of studies are conducted on European, male-only or male-female mixed, participants. To our knowledge, this is the first study to systematically review the effects of genes on youth aggression. To understand the genetic underpinnings of childhood aggression, more research is required with larger, more diverse sample sets, consistent and reliable assessments and standardized definition of the aggression phenotypes. The search for the biological mechanisms underlying child aggression will also benefit from more varied research methods, including epigenetic studies, transcriptomic studies, gene system and genome-wide studies, longitudinal studies that track changes in risk/ameliorating factors and aggression-related outcomes, and studies examining causal mechanisms.
Topics: Child; Female; Humans; Male; Aggression; Catechol O-Methyltransferase; Gene-Environment Interaction; Genome-Wide Association Study; Monoamine Oxidase; Receptors, Dopamine D4
PubMed: 38862490
DOI: 10.1038/s41398-024-02870-7 -
Diabetology & Metabolic Syndrome Jun 2024Numerous studies have developed or validated prediction models aimed at estimating the likelihood of amputation in diabetic foot (DF) patients. However, the quality and... (Review)
Review
BACKGROUND
Numerous studies have developed or validated prediction models aimed at estimating the likelihood of amputation in diabetic foot (DF) patients. However, the quality and applicability of these models in clinical practice and future research remain uncertain. This study conducts a systematic review and assessment of the risk of bias and applicability of amputation prediction models among individuals with DF.
METHODS
A comprehensive search was conducted across multiple databases, including PubMed, Web of Science, EBSCO CINAHL Plus, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang, Chinese Biomedical Literature Database (CBM), and Weipu (VIP) from their inception to December 24, 2023. Two investigators independently screened the literature and extracted data using the checklist for critical appraisal and data extraction for systematic reviews of prediction modeling studies. The Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist was employed to evaluate both the risk of bias and applicability.
RESULTS
A total of 20 studies were included in this analysis, comprising 17 development studies and three validation studies, encompassing 20 prediction models and 11 classification systems. The incidence of amputation in patients with DF ranged from 5.9 to 58.5%. Machine learning-based methods were employed in more than half of the studies. The reported area under the curve (AUC) varied from 0.560 to 0.939. Independent predictors consistently identified by multivariate models included age, gender, HbA1c, hemoglobin, white blood cell count, low-density lipoprotein cholesterol, diabetes duration, and Wagner's Classification. All studies were found to exhibit a high risk of bias, primarily attributed to inadequate handling of outcome events and missing data, lack of model performance assessment, and overfitting.
CONCLUSIONS
The assessment using PROBAST revealed a notable risk of bias in the existing prediction models for amputation in patients with DF. It is imperative for future studies to concentrate on enhancing the robustness of current prediction models or constructing new models with stringent methodologies.
PubMed: 38858732
DOI: 10.1186/s13098-024-01360-6 -
The Science of the Total Environment Jun 2024Shipping contributes to air pollution causing adverse health effects. We conducted for the first time a systematic review on the health and economic impacts of ambient... (Review)
Review
BACKGROUND
Shipping contributes to air pollution causing adverse health effects. We conducted for the first time a systematic review on the health and economic impacts of ambient air pollution from shipping emissions.
METHODS
We performed a systematic search in PubMed, Web of Science, EBSCO (Medline), and Scopus of all time up to December 2023. We then inter-compared semi-quantitatively the results of the included eligible studies.
RESULTS
We identified 23 eligible studies, 22 applying health impact assessment, and 1 using epidemiological methods. These studies used different methods for the evaluation of emissions, dispersion, and exposure, and for the exposure-mortality risk functions for exposure to shipping emissions for 1-2 years. The estimated excess global all-cause mortality from six studies ranged between 1 and 5 deaths per 100,000 person-years. However, the heterogeneity of the methods and critical gaps in the reporting seriously limited the synthesis of the evidence on health and economic effects of shipping emissions. Sufficient spatial and temporal resolutions in both dispersion and exposure modeling, as well as presentation of uncertainties is needed. Health impact assessment should present the results with all the main risk functions and population attributable risks, and the magnitude of the effect should be expressed in excess number per a given person-time or per population size. Economic effects should also cover work productivity, mental well-being, and cognitive functions.
CONCLUSIONS
We recommend that future studies should properly evaluate and report the uncertainty ranges and the confidence limits of the results. Rigorous studies are needed on multipollutant exposures, exposures from various source categories, and exposures attributed to various particulate matter measures. Studies should report the health impact measures in a format that facilitates straightforward inter-study comparisons. Further research should also specifically report the used grid spacings and resolutions and evaluate whether these are optimal for the task.
PubMed: 38857797
DOI: 10.1016/j.scitotenv.2024.173714 -
Frontiers in Immunology 2024Immunotherapeutic approaches, including immune checkpoint inhibitor (ICI) therapy, are increasingly recognized for their potential. Despite notable successes, patient... (Meta-Analysis)
Meta-Analysis
Myeloid-derived suppressor cells in peripheral blood as predictive biomarkers in patients with solid tumors undergoing immune checkpoint therapy: systematic review and meta-analysis.
BACKGROUND
Immunotherapeutic approaches, including immune checkpoint inhibitor (ICI) therapy, are increasingly recognized for their potential. Despite notable successes, patient responses to these treatments vary significantly. The absence of reliable predictive and prognostic biomarkers hampers the ability to foresee outcomes. This meta-analysis aims to evaluate the predictive significance of circulating myeloid-derived suppressor cells (MDSC) in patients with solid tumors undergoing ICI therapy, focusing on progression-free survival (PFS) and overall survival (OS).
METHODS
A comprehensive literature search was performed across PubMed and EMBASE from January 2007 to November 2023, utilizing keywords related to MDSC and ICI. We extracted hazard ratios (HRs) and 95% confidence intervals (CIs) directly from the publications or calculated them based on the reported data. A hazard ratio greater than 1 indicated a beneficial effect of low MDSC levels. We assessed heterogeneity and effect size through subgroup analyses.
RESULTS
Our search yielded 4,023 articles, of which 17 studies involving 1,035 patients were included. The analysis revealed that patients with lower levels of circulating MDSC experienced significantly improved OS (HR=2.13 [95% CI 1.51-2.99]) and PFS (HR=1.87 [95% CI 1.29-2.72]) in response to ICI therapy. Notably, heterogeneity across these outcomes was primarily attributed to differences in polymorphonuclear MDSC (PMN-MDSC) subpopulations and varying cutoff methodologies used in the studies. The monocytic MDSC (M-MDSC) subpopulation emerged as a consistent and significant prognostic marker across various subgroup analyses, including ethnicity, tumor type, ICI target, sample size, and cutoff methodology.
CONCLUSIONS
Our findings suggest that standardized assessment of MDSC, particularly M-MDSC, should be integral to ICI therapy strategies. These cells hold the promise of identifying patients at risk of poor response to ICI therapy, enabling tailored treatment approaches. Further research focusing on the standardization of markers and validation of cutoff methods is crucial for integrating MDSC into clinical practice.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023420095, identifier CRD42023420095.
Topics: Humans; Myeloid-Derived Suppressor Cells; Neoplasms; Immune Checkpoint Inhibitors; Biomarkers, Tumor; Prognosis
PubMed: 38855104
DOI: 10.3389/fimmu.2024.1403771 -
Industrial Psychiatry Journal 2024Non-consensual pornography has become a growing concern, with potentially negative consequences for the victims. Victims of revenge porn are more likely to be blamed,... (Review)
Review
Non-consensual pornography has become a growing concern, with potentially negative consequences for the victims. Victims of revenge porn are more likely to be blamed, and understanding why and how blame is attributed toward victims of non-consensual pornography is crucial to support them and reduce the negative consequences. This study aimed to explore and synthesize the existing evidence on victim blaming in non-consensual pornography and the underlying psychosocial factors within the context of attribution framework. A comprehensive systematic review was conducted across four databases namely PubMed, ProQuest, Google Scholar, and Scopus for English-language studies published from April 2012 to June 2022. Data from the selected studies were extracted and collated into the review matrix. Among the 22 full-text reviews, 10 records that met the eligibility criteria were included in the final review. Two themes namely "Culture and morality" and "gendered differences in attributions of blame" were derived from a thematic synthesis of 10 studies and reflected the psychosocial underpinnings of victim blaming. The review highlighted how cultural narratives and perceived immorality play a major role in how attributions are placed on self or others for victim blaming in "non-consensual pornography." Blame attributions emerging from gender stereotyping and gendered responsibilization within cultural and societal contexts were found to impact self-blame and compound victimization in non-consensual pornography. The study findings implicated that recognizing psychosocial underpinnings of victim blame attribution in revenge porn would allow for evolving suitable legislative and policy responses for designing effective educative and preventative strategies.
PubMed: 38853810
DOI: 10.4103/ipj.ipj_166_23 -
International Journal of Health... Jun 2024Geographical environments influence people's active mobility behaviors, contributing to their physical and mental health. The use of Virtual Reality (VR) in experimental... (Review)
Review
BACKGROUND
Geographical environments influence people's active mobility behaviors, contributing to their physical and mental health. The use of Virtual Reality (VR) in experimental research can unveil new insights into the relationship between exposure to geographic environments and active mobility behaviors. This systematic review aims to (1) identify environmental attributes investigated in relation with walking and cycling, using VR, (2) assess their impacts on active mobility behaviors and attitudes, and (3) identify research gaps, strengths and limitations in VR-based experimental research.
METHODS
Articles published between January 2010 and February 2022 within five databases (PubMed, Scopus, EBSCO, IEEE Xplore, and Cochrane Library) were explored using three keywords and their synonyms: Virtual Reality, Active mobility behavior, and Geographical environments. Studies focusing on indoor environments, driving simulation, disease-specific groups, non-relevant disciplines (e.g. military, emergency evacuation), VR methodology/software optimization, and those with static participants' involvement were excluded. The full protocol is available from PROSPERO (ID = CRD42022308366).
RESULTS
Out of 3255 articles, 18 peer-reviewed papers met the selection criteria, mostly focusing on walking (83%). Most studies used head-mounted displays (94%) and relied on convenience sampling (72% below 100 participants). Both static (33%) and dynamic (45%) environmental attributes have been investigated, with only 22% of them simultaneously in the same virtual environment. Greenness and crowd density were the most frequent attributes, rather consistently associated with emotional states and movement behaviors. Few studies have taken into account participant's previous VR experience (33%) and cybersickness (39%) while both are likely to affect an individual's perception and behavior.
CONCLUSIONS
Future research should explore a broader range of environmental attributes, including static and dynamic ones, as well as a more complex integration of these attributes within a single experiment to mimic the effect of realistic environments on people's active mobility behaviors and attitudes. Larger and more diverse population samples are deemed required to improve result generalizability. Despite methodological challenges, VR emerges as a promising tool to disentangle the effect of complex environments on active mobility behaviors.
Topics: Humans; Virtual Reality; Walking; Bicycling
PubMed: 38851727
DOI: 10.1186/s12942-024-00375-6 -
Value in Health : the Journal of the... Jun 2024This review sought to identify the qualitative methods and techniques researchers have employed in the past decade to develop attributes and inform health-related... (Review)
Review
OBJECTIVES
This review sought to identify the qualitative methods and techniques researchers have employed in the past decade to develop attributes and inform health-related discrete choice experiments (DCEs) surveys from a patient perspective.
METHODS
The review followed the PRISMA guidelines for reporting systematic reviews. An adapted appraisal tool following guidelines for reporting qualitative research for quantitative instruments and criteria for attribute development in DCEs was applied for quality assessment and data extraction. A narrative approach was used to synthesise data. This examination included consideration of issues pertaining to sampling, data collection, data analysis, attribute list reduction, wording, methodological adaptations to capture patient preferences, and testing the pre-experimental design decisions of the DCE survey.
RESULTS
Of 8,505 articles identified for abstract screening, 680 were included for full-text screening, 36 of which met the inclusion criteria. Practices to improve methodological robustness included pre-data collection materials to inform instruments, data collection methods specific for decision-making scenarios, purposeful selection of data analysis methods to address the research question, and participants' involvement in reducing the list of attributes. Examples of methodological adaptations for patients were noted.
CONCLUSIONS
DCEs have the potential to become a mixed-method approach where the qualitative phase informs a reduced list of attributes for a survey, serves the pre-design decisions of the experiment by testing trade-offs, overlapping, understandability, face, and content validity, and provides explanations of the quantitative results. Establishing guidelines for using qualitative methods for DCE attribute development may help to broadly enhance the methodological robustness of DCEs.
PubMed: 38851483
DOI: 10.1016/j.jval.2024.05.014