Data Extraction Research Articles

The optimal atropine concentration for myopia control in Chinese children: a systematic review and network Meta-analysis

AIM: To figure out whether various atropine dosages may slow the progression of myopia in Chinese kids and teenagers and to determine the optimal atropine concentration for effectively slowing the progression of myopia. METHODS: A systematic search was conducted across the Cochrane Library, PubMed, Web of Science, EMBASE, CNKI, CBM, VIP, and Wanfang database, encompassing literature on slowing progression of myopia with varying atropine concentrations from database inception to January 17, 2024. Data extraction and quality assessment were performed, and a network Meta-analysis was executed using Stata version 14.0 Software. Results were visually represented through graphs. RESULTS: Fourteen papers comprising 2475 cases were included; five different concentrations of atropine solution were used. The network Meta-analysis, along with the surface under the cumulative ranking curve (SUCRA), showed that 1% atropine (100%)>0.05% atropine (74.9%) >0.025% atropine (51.6%)>0.02% atropine (47.9%)>0.01% atropine (25.6%)>control in refraction change and 1% atropine (98.7%)>0.05% atropine (70.4%)>0.02% atropine (61.4%)>0.025% atropine (42%)>0.01% atropine (27.4%)>control in axial length (AL) change. CONCLUSION: In Chinese children and teenagers, the five various concentrations of atropine can reduce the progression of myopia. Although the network Meta-analysis showed that 1% atropine is the best one for controlling refraction and AL change, there is a high incidence of adverse effects with the use of 1% atropine. Therefore, we suggest that 0.05% atropine is optimal for Chinese children to slow myopia progression.

Dementia in Rare Genetic Neurodevelopmental Disorders: A Systematic Literature Review.

Knowledge of young-onset Alzheimer disease in adults with Down syndrome has greatly improved clinical care. However, little is known about dementia in rare genetic neurodevelopmental disorders (RGNDs). In this review, a comprehensive overview is provided of reports on dementia and cognitive/adaptive trajectories in adults with RGNDs. A systematic literature review was conducted in Embase, Medline ALL, and PsycINFO on December 6, 2022. The protocol was registered in PROSPERO (CRD42021223041). Search terms for dementia, cognitive and adaptive functioning, and RGNDs were combined using generic terms and the Orphanet database. Study characteristics and descriptive data on genetic diagnosis, clinical and neuropathologic features, comorbidities, and diagnostic methods were extracted using a modified version of the Cochrane Data Extraction Template. The literature search yielded 40 publications (17 cohorts, 23 case studies) describing dementia and/or cognitive or adaptive trajectories in adults with 14 different RGNDs. Dementia was reported in 49 individuals (5 cohorts, 20 cases) with a mean age at onset of 44.4 years. Diagnostics were not disclosed for half of the reported individuals (n = 25/49, 51.0%). A total of 44 different psychodiagnostic instruments were used. MRI was the most reported additional investigation (n = 12/49, 24.5%). Comorbid disorders most frequently associated with cognitive/adaptive decline were epilepsy, psychotic disorders, and movement disorders. Currently available literature shows limited information on aging in RGNDs, with relatively many reports of young-onset dementia. Longitudinal data may provide insights into converging neurodevelopmental degenerative pathways. We provide recommendations to optimize dementia screening, diagnosis, and research.

A new framework to enhance healthcare monitoring using patient-centric predictive analysis

In the contemporary healthcare landscape, various intelligent automated approaches are revolutionizing healthcare tasks. Learning concepts are pivotal for activities like comprehending acquired data and monitoring patient behavior. Among patient-centric concerns, addressing data heterogeneity, extraction, and prediction challenges is crucial. To enhance patient monitoring using care indicators like cost and length of stay at healthcare centers, many researchers found a model for automated tools, but do not have the artificial intelligence (AI) based models as of now. Therefore, this research study will propose an AI and internet of things (IoT) integrated automated approach with smart sensors called the “PatientE” framework with heterogeneity and patient data. Employing certain rules for data extraction to form a distinct representation, our model integrates pre-treatment information and employs a modified combined random forest, long-short term memory (LSTM), and bidirectional long-short term memory (BiLSTM) algorithm for predictive post-treatment monitoring. This framework, synergizing AI, IoT, and advanced neural networks, facilitates real-time health monitoring, especially focusing on breast cancer patients. Embracing pre-treatment, in-treatment, and post-treatment phases, our model aims for accurate diagnosis, improved cost-efficiency, and extended stays. The evaluation underscores scalability, reliability enhancement, and validates the framework's efficacy in transforming healthcare practices.

The effect of early weight-bearing and later weight-bearing rehabilitation interventions on outcomes after ankle fracture surgery: A systematic review and meta-analysis of randomised controlled trials.

This systematic review aimed to analyse the effect of early weight bearing versus late weight bearing on rehabilitation outcomes after ankle fractures, which primarily include ankle function scores, time to return to work/daily life and complication rates. The China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, China Science and Technology Journal, Web of Science, PubMed, Embase and Cochrane Library databases were searched. The focus was on identifying randomised controlled trials centred on early weight-bearing interventions for post-operative ankle fracture rehabilitation. All databases were searched for eligible studies published within the period from database inception to 20 June 2023. The eligible studies were screened according to the inclusion criteria. Study quality was evaluated using the methodology recommended by the Cochrane Handbook for the Systematic Evaluation of Interventions. Two authors independently performed the literature search and data extraction. Eligible studies were subjected to meta-analyses using Review Manager 5.3. Based on the time points at which post-operative ankle function was reported in the studies included in this paper, we decided to perform a meta-analysis of ankle function scores at 6weeks post-operatively, 12weeks post-operatively, 24-26weeks post-operatively and 1year post-operatively. A total of 11 papers, comprising 862 patients, were included. Meta-analysis indicated that patients receiving early weight-bearing interventions, which referred to weight-bearing for 6weeks post-operatively, experienced enhancements in ankle function scores (Olerud-Molander score, AOFAS score or Baird-Jackson score) at various post-operative milestones: 6weeks (SMD=0.69, 95% CI: 0.49-0.88 and p<0.01), 12weeks (SMD=0.57, 95% CI: 0.22-0.92 and p<0.01) and the 24-26weeks range (SMD=0.52, 95% CI: 0.20-0.85 and p<0.01). The results of subgroup analyses revealed that the effects of early weight-bearing interventions were influenced by ankle range-of-motion exercises. Additionally, early weight bearing allows patients to return to daily life and work earlier, which was evaluated by time when they resumed their preinjury activities (MD=-2.74, 95% CI: -3.46 to -2.02 and p<0.01), with no distinct elevation in the incidence of complications (RR=1.49, 95% CI: 0.85-2.61 and p>0.05). The results showed that early weight bearing is effective in improving ankle function among post-operative ankle fracture patients and allows patients to return to daily life earlier. Significantly, the safety profile of early weight bearing remains favourable, with no higher risk of complications than late weight bearing.

The role of peace educators in building a culture of peace in the school: Comparisons between Indonesia and Malaysia

&lt;span lang="EN-US"&gt;A culture of peace is a condition that school members covet. Indonesia and Malaysia are two neighboring countries that support implementing peace education. Even though the two countries are allied and neighbors, each country has uniqueness, including implementing peace education. This study aims to describe the role of peace educators in Indonesian and Malaysian schools. Systematic literature reviews identify the position of peace educators in building a culture of peace in schools. The study uses eight main articles to describe the role of peace educators in Indonesia and Malaysia. The selected articles were analyzed by data extraction. The study results show that peace educators in Indonesia and Malaysia have different characteristics. Peace educators in Indonesia focus more on efforts to suppress student violence. Meanwhile, peace educators in Malaysia focus on building a constructive mindset towards all forms of experiences experienced by students. The study recommends further research to create a unique model of peace education according to the characteristics of students in Indonesia and Malaysia.&lt;/span&gt;

Risk of bias in cross-sectional studies: Protocol for a scoping review of concepts and tools

Cross-sectional studies are commonly used to study human health and disease, but are especially susceptible to bias. This scoping review aims to identify and describe available tools to assess the risk of bias (RoB) in cross-sectional studies and to compile the key bias concepts relevant to cross-sectional studies into an item bank. Using the JBI scoping review methodology, the strategy to locate relevant RoB concepts and tools is a combination of database searches, prospective review of PROSPERO registry records; and consultation with knowledge users and content experts. English language records will be included if they describe tools, checklists, or instruments which describe or permit assessment of RoB for cross-sectional studies. Systematic reviews will be included if they consider eligible RoB tools or use RoB tools for RoB of cross-sectional studies. All records will be independently screened, selected, and extracted by one researcher and checked by a second. An analytic framework will be used to structure the extraction of data. Results for the scoping review are pending. Results from this scoping review will be used to inform future selection of RoB tools and to consider whether development of a new RoB tool for cross-sectional studies is needed.

Linking Repeated Subjective Judgments and ConvNets for Multimodal Assessment of the Immediate Living Environment

The integration of alternative data extraction approaches for multimodal data, can significantly reduce modeling difficulties for the automatic location assessment. We develop a method for assessing the quality of the immediate living environment by incorporating human judgments as ground truth into a neural network for generating new synthetic data and testing the effects in surrogate hedonic models. We expect that the quality of the data will be less biased if the annotation is performed by multiple independent persons applying repeated trials which should reduce the overall error variance and lead to more robust results. Experimental results show that linking repeated subjective judgements and Deep Learning can reliably determine the quality scores and thus expand the range of information for the quality assessment. The presented method is not computationally intensive, can be performed repetitively and can also be easily adapted to machine learning approaches in a broader sense or be transferred to other use cases. Following aspects are essential for the implementation of the method:•Sufficient amount of representative data for human assessment.•Repeated assessment trials by individuals.•Confident derivation of the effect of human judgments on property price as an approbation for further generation of synthetic data.

Efficacy of substances containing 3 types of active ingredients-saponins, flavones, and alkaloids in regulation of cytokines in autoimmune diseases a systematic review and Meta-analysis based on animal studies.

To investigate the efficacy of substances containing 3 types of active ingredients-saponins, flavones, and alkaloids on experimental animals with autoimmune diseases (AIDs). The protocol for this systematic review and Meta-analysis was prospectively registered with PROSPERO (CRD42023395741). Searches were conducted in the China National Knowledge Infrastructure, Wanfang, Chinese Science and Technology Journals, China Biomedical, PubMed, Cochrane Library, and Embase databases to screen for animal studies investigating the therapeutic effects of saponins, flavones, or alkaloids on autoimmune diseases; consequently, corresponding data extraction tables were prepared. Systematic Review Centre for Laboratory Animal Experimentation was used to assess the risk of methodological bias in the included literature. RevMan 5.4 was used for the Meta-analysis on the 8 serum cytokines. A total of 31 studies were included, all of which were randomized controlled studies. Meta-analysis indicated that substances rich in saponins, flavones, and alkaloids reduced serum levels of interleukin (IL)-1β [standardized mean difference (SMD) = -1.94, 95% confidence interval (CI) (-2.99, -0.90), P = 0.0003], IL-6 [SMD = -1.65, 95% CI (-2.33, -0.97,) P < 0.000 01], IL-17 [SMD = -2.41, 95% CI (-3.61, -1.20), P < 0.0001], tumor necrosis factor (TNF)-α [SMD = -1.84, 95% CI (-2.61, -1.06), P < 0.0001], and interferon (IFN)-γ [SMD = -1.54, 95% CI (-2.43, -0.65), P = 0.0007], but increased serum levels of IL-4 [SMD = 1.30, 95% CI (0.15, 2.44), P = 0.03) and IL-10 [SMD = 2.05, 95% CI (1.39, 2.70), P < 0.000 01) in animal models. However, no significant regulatory effect of these three active components was observed on serum levels of IL-2 [SMD = -0.63, 95% CI (-1.82, 0.57), P = 0.30]. Substances containing saponins, flavones, and alkaloids regulated the changes of immune-related cytokines, it may be a novel dietary substance to relieve and control autoimmune diseases in the future.

Web Scraping Application for E-Commerce Website

Abstract: In the rapidly evolving digital world, efficient extraction of data from the web is essential for insights and decision making. This project introduces a versatile web scraping solution by integrating Superagent and Puppeteer. Superagent efficiently handles HTTP requests and static content, while Puppeteer excels in dynamic web page interactions. The combination of their capabilities forms a robust approach for navigating and scraping modern websites. The resulting tool enables seamless extraction of both static and dynamic content, providing researchers, analysts, and businesses with a powerful tool to acquire structured data from diverse web sources, facilitating data-driven decisions and research across multiple domains. The combined power of these libraries offers an end-to-end solution for automating data extraction and integration. It also emphasizes on ethical considerations

Advanced Data Extraction and Analytics Software on AWS: Revolutionizing Insights with Personalized

Abstract: In the current evolving landscape of marketing, a robust analytics platform is required that integrates data from various marketing channels for insightful decision-making. This paper introduces an Integrated Marketing Data Analytics Platform, a comprehensive solution designed to enhance marketing strategies through advanced analytics. The platform amalgamates data from different marketing sources, enabling an integrated view of campaigns, customer behavior, and market trends. Key features include cross-channel analytics, predictive modeling, and real-time reporting. This research aims to empower marketing professionals with a versatile tool that maximizes the impact and outcome of marketing efforts by providing actionable insights and promoting data-driven decision-making in marketing strategy. (Abstract) Keywords: Marketing analytics, Integrated marketing data , Advanced analytics Cross-ch

Literature review: Work music in reducing work stress

High productivity allows companies to produce goods and services at lower costs, so they can offer more competitive prices in the market. Productivity may experience a decline which can have a negative impact on organizational performance. Decreased productivity can be caused by prolonged work stress. This research aims to analyze the role of work music in reducing work stress. This research was carried out using the method literature review by determining inclusion and exclusion criteria using PICOS (Problem, Intervention, Comparison, Outcome, and Study design) from 7 articles that met the eligibility criteria, then data extraction was carried out by evaluating work music in reducing work stress. Based on the results of a systematic review conducted, it shows that the occupational safety and health program in the form of providing work music is able to increase worker productivity found in various types of work so that it can optimally increase the profits of the employing agency.

Sensory stimulation interventions in ICU: A comprehensive systematic review on enhancing consciousness in unconscious patients

Background: Unconsciousness is a common and critical condition among patients admitted to the Intensive Care Unit (ICU). The potential impact of sensory stimulation as a therapeutic intervention for improving consciousness in these patients has gained increasing attention. This systematic review aims to evaluate the effectiveness of sensory stimulation programs in enhancing consciousness levels among unconscious patients in the ICU. Objectives: The primary objective of this review is to assess the effectiveness of sensory stimulation programs in promoting consciousness among unconscious patients in the ICU. Secondary objectives include identifying specific types of sensory stimulation techniques employed, examining eligibility criteria for patient inclusion in relevant studies, and exploring the reported results and conclusions relating to the review questions and objectives. Inclusion and Exclusion Criteria: Studies were included if they focused on sensory stimulation interventions for unconscious patients in the ICU. There were no restrictions on publication date or language. Studies that did not assess consciousness as an outcome or lacked sufficient data were excluded. Sources of Evidence: PubMed, EMBASE, Cochrane Library, and Web of Science will be searched to identify relevant articles. The last search was conducted on 2022. Assessment of Risk of Bias: The included studies were assessed for risk of bias using standardized tools, such as the PEDRO tool for randomized controlled trials. Discrepancies in the assessment were resolved through consensus or consultation with a third reviewer. Methods for Presenting and Synthesizing Results: Study characteristics, patient demographics, intervention details, outcomes, and results were extracted and summarized. Number of Included Studies and Participants: A total of 11 studies involving 500 participants were included. The characteristics of the included studies, such as study design, sample size, sensory stimulation techniques used, and outcome measures, were summarized. Charting Methods: Two independent reviewers will extract data and assess the eligibility of studies based on predefined inclusion and exclusion criteria. Any discrepancies will be resolved through discussion or consultation with a third reviewer. A standardized data extraction form will be used to record relevant information, including study characteristics, patient demographics, intervention details, outcomes, and results. Results: Upon completion of the data extraction process, study characteristics, sensory stimulation techniques, and reported results will be summarized. If feasible, a meta-analysis will be conducted to provide a quantitative synthesis of the findings. Any limitations and potential biases identified among the included studies will be discussed.

The Effectiveness of Hammock Positioning in Regulating Behavioral Patterns in Preterm: A Systematic Review

Background- Preterm newborns benefit from supportive developmental techniques such as hammock placement, which give them a sense of being in the womb that promotes calm, relaxation, and deep restful sleep. Objective- To identify and synthesize the available evidence on the effect of hammock positioning in regulating behavioral patterns and sleep in preterm infants admitted to the NICU Data Sources: We searched the Google Scholar, Pubmed, and Scopus databases for reports of primary research studies using a three-step strategy. We also searched for and reviewed the reference lists of retrieved articles. Methods: We included data from randomized controlled trials, Quasi-experimental and Comparative study measuring the effects of hammock positioning on physiological stress outcomes, defined as oxygen saturation, body temperature, heart rate and respiratory rate, Sleep-wakefulness, and behavioral pattern. The PRISMA model was used to conduct data extraction. We performed a narrative synthesis of all studies when data were available from multiple studies. Results: Five studies were eligible for inclusion. Infants who received hammock positioning has shown to have a higher mean heart rate, oxygen saturation and temperature, Sleep-wakefulness and improved behavioral patterns. Conclusions: Current evidence suggests that hammock positioning in the neonatal intensive care unit setting is a safe method that may significantly affect some of the physiological parameters of stress, improved behavioral patterns and Sleep-wakefulness in preterm infants. However, due to clinical heterogeneity, further studies are needed to assess the effects of physiological stress in the neonatal intensive care unit on the development of preterm infants.

How consistent are the key recommendations, and what is the quality of guidelines and expert consensus regarding paediatric cow's milk protein allergy?

The objective of this study was to assess the quality and consistency of recommendations in clinical practice guidelines (CPGs) and expert consensus on paediatric cow's milk protein allergy (CMPA) to serve as a foundation for future revisions and enhancements of clinical guidelines and consensus documents. We conducted a comprehensive literature search across several databases, including the Chinese Biomedical Literature Database (CBM), PubMed, Embase, Web of Science, UpToDate, ClinicalKey, DynaMed Plus and BMJ Best Practice. We spanned the search period from the inception of each database through October 1, 2023. We integrated subject headings (MeSH/Emtree) and keywords into the search strategy, used the search methodologies of existing literature and developed it in collaboration with a librarian. Two trained researchers independently conducted the literature screening and data extraction. We evaluated methodological quality and recommendations by using the Appraisal of Guidelines for Research & Evaluation II (AGREE II) and AGREE-Recommendations for Excellence (AGREE-REX) tools. Moreover, we compared and summarized key recommendations from high-quality CPGs. Our study included 27 CPGs and expert consensus documents on CMPA. Only four CPGs (14.8%) achieved a high-quality AGREE II rating. The four high-quality CPGs consistently provided recommendations for CMPA. The highest scoring domains for AGREE II were 'scope and purpose' (77 ± 12%) and 'clarity of presentation' (75 ± 22%). The lowest scoring domains were 'stakeholder involvement' (49 ± 21%), 'rigor of development' (34 ± 20%) and 'applicability' (12 ± 20%). Evaluation with AGREE-REX generally demonstrated low scores across its domains. Conclusion: Recommendations within high-quality CPGs for the paediatric CMPA showed fundamental consistency. Nevertheless, the methodology and recommendation content of CPGs and the expert consensus exhibited low quality, thus indicating a substantial scope for enhancement. Guideline developers should rigorously follow the AGREE II and AGREE-REX standards in creating CPGs or expert consensuses to guarantee their clinical efficacy in managing paediatric CMPA. What is Known: • The quality of clinical practice guidelines and expert consensus on paediatric cow's milk protein allergy (CMPA) remains uncertain. • There is a lack of clarity regarding the consistency of crucial recommendations for CMPA management. What is New: • Improving the methodological quality of guidelines and consensus on CMPA requires greater emphasis on stakeholder engagement, rigorous development processes, and practical applicability. • The recommendations from four high-quality guidelines align. However, addressing clinical applicability, integrating values and preferences, and ensuring actionable implementation are critical to improving the quality of all guidelines.

Differential Outcomes of Placebo Treatment Across 9 Psychiatric Disorders: A Systematic Review and Meta-Analysis.

Placebo is the only substance systematically evaluated across common psychiatric diagnoses, but comprehensive cross-diagnostic comparisons are lacking. To compare changes in placebo groups in recent high-quality randomized clinical trials (RCTs) across a broad spectrum of psychiatric disorders in adult patients. MEDLINE and the Cochrane Database of Systematic Reviews were systematically searched in March 2022 for the latest systematic reviews meeting predetermined high-quality criteria for 9 major psychiatric diagnoses. Using these reviews, the top 10 highest-quality (ie, lowest risk of bias, according to the Cochrane Risk of Bias tool) and most recent placebo-controlled RCTs per diagnosis (totaling 90 RCTs) were selected, adhering to predetermined inclusion and exclusion criteria. Following the Cochrane Handbook, 2 authors independently carried out the study search, selection, and data extraction. Cross-diagnosis comparisons were based on standardized pre-post effect sizes (mean change divided by its SD) for each placebo group. This study is reported following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline. The primary outcome, pooled pre-post placebo effect sizes (dav) with 95% CIs per diagnosis, was determined using random-effects meta-analyses. A Q test assessed statistical significance of differences across diagnoses. Heterogeneity and small-study effects were evaluated as appropriate. A total of 90 RCTs with 9985 placebo-treated participants were included. Symptom severity improved with placebo in all diagnoses. Pooled pre-post placebo effect sizes differed across diagnoses (Q = 88.5; df = 8; P < .001), with major depressive disorder (dav = 1.40; 95% CI, 1.24-1.56) and generalized anxiety disorder (dav = 1.23; 95% CI, 1.06-1.41) exhibiting the largest dav. Panic disorder, attention-deficit/hyperactivity disorder, posttraumatic stress disorder, social phobia, and mania showed dav between 0.68 and 0.92, followed by OCD (dav = 0.65; 95% CI, 0.51-0.78) and schizophrenia (dav = 0.59; 95% CI, 0.41-0.76). This systematic review and meta-analysis found that symptom improvement with placebo treatment was substantial in all conditions but varied across the 9 included diagnoses. These findings may help in assessing the necessity and ethical justification of placebo controls, in evaluating treatment effects in uncontrolled studies, and in guiding patients in treatment decisions. These findings likely encompass the true placebo effect, natural disease course, and nonspecific effects.

A data recovery method for extra-long-span railway bridge health monitoring based on TVFEMD and CNN-GRU

Structure health monitoring systems play a crucial role in understanding the condition of structures. However, owing to various uncertain factors, sensor data may be missing, which poses a great challenge to capture the real-time dynamic characteristics of the bridge. To address this problem, this paper proposes a model that integrates time varying filtering based empirical mode decomposition (TVFEMD), convolutional neural network (CNN), and gated recurrent unit (GRU) to forecast and fill in the missing data. The proposed model initially employs TVFEMD to decompose the signal into several intrinsic mode functions (IMFs) of different frequency bands. Subsequently, CNN is utilized to extract data features for each IMF, followed by prediction through GRU. The model linearly combines the prediction results obtained from each IMF to obtain the actual prediction result. Simulation data and measured data from the large railway bridge are utilized in this research to validate the model’s efficacy. The analysis results demonstrate a significant improvement in prediction performance compared to traditional models, showcasing strong generalization ability and robustness. In conclusion, the model proposed in this paper has a high utilization value in health monitoring data recovery.

Existing psychological supportive care interventions for cervical cancer patients: a systematic review and meta-analysis.

Cervical cancer patients commonly experience psychological supportive care needs, necessitating diverse interventions to enhance psychological well-being and alleviate physical symptoms. This systematic review, covering English-published articles from January 1999 to April 2023, assessed the impact of psychological supportive care interventions on anxiety and depression. Twenty-Six studies, including 11,638 patients, were analyzed, comprising randomized controlled trials; quasi-experimental, and pre-post-test designs from PubMed; Science Direct; Wiley online library; Google Scholar; Cochrane Library; and JSTOR. The extraction of data was done by two independent authors and a third independent author checked the data extraction. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), 2020 statement was adopted. The population, intervention, comparator, and outcomes (PICO) search strategy was applied. Effective Public Health Practice Project (EPHPP) tool was used to assess the quality of selected articles. Various interventions, such as psychological nursing, exercise, counselling, psycho-curative approaches, peer and family education, psychotherapy, and medication, were identified. Two studies incorporated homework sessions, predominantly administered by nursing staff. Self-Rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS) were commonly used instruments. Statistical analysis revealed a significant difference in anxiety and depression scores between treatment and control groups (p < 0.005) post-intervention across all studies. A subsequent meta-analysis of eight homogeneous studies, utilizing a random-effects model, showed a moderate-to-high overall effect size (1.35, 95% CI: 0.75 to 1.94), indicating a statistically significant positive impact. Various studies exhibited variability in effect sizes ranging from low to high. While the meta-analysis included 936 participants, the forest plot visually represents individual study effect sizes and the combined effect size. Preliminary evidence supports the positive impact of psychological supportive care interventions on cervical cancer outcomes, urging further research, especially exploring long-term effects and employing rigorous study designs.

Social support as a coping resource for psychosocial conditions in postpartum period: a systematic review and logic framework

PurposeThis review seeks to examine the current state of postpartum social support and psychosocial conditions among women around the world, as well as explore the relationship between these factors. Additionally, it aims to propose a logical framework for enhancing postpartum social support and psychosocial conditions in this population.MethodsFollowing the development of a search strategy, two databases, PubMed and Science Direct, were searched for studies published between January 2019 and May 2023. The search was conducted throughout the entire month of May 2023. The risk of bias in the included cross-sectional studies was assessed using the Newcastle–Ottawa Quality Assessment Scale, which was adapted for this specific study design. To determine if the main objective of the cross-sectional studies was to investigate the relationship between social support and postpartum psychosocial conditions, a review was conducted based on the AMSTAR checklist, PRISMA checklist and PRISMA flow diagram. Data extraction was performed with the consensus of two authors, and a narrative synthesis approach was chosen for data synthesis, following the guidelines provided by the Centre for Reviews and Dissemination (CRD).ResultsEleven cross-sectional studies were included in the final analysis. Our findings revealed that all reviewed studies provided evidence of a positive association between social support and healthy psychosocial conditions in postpartum period. However, due to the absence of standardized measurement indicators to identify and compare the outcomes of various studies, there was a need to develop a conceptual framework that could enhance our understanding of the postpartum psychosocial condition including anxiety, depression, unfavorable quality of life and social support status up to 24 month after child birth. This framework aimed to incorporate childbirth and motherhood as "stressful events," while considering social support as a crucial "coping resource." Furthermore, it acknowledged empowerment, help-seeking behavior, and peer support as important "coping actions," alongside implementing client-centered interventions. Lastly, it recognized postpartum mental health and optimal quality of life as significant "effects" of these factors.ConclusionsThe proposed conceptual framework could define postpartum women’s health as “the ability to adapt and self-manage.”

Optimizing Finerenone in People With Diabetes and Chronic Kidney Disease: An Opportunity for the Pharmacist.

Objective: This review aims to emphasize the role of pharmacists for optimization of evidence-based outcomes of finerenone in multidisciplinary kidney care teams during the early detection process of CKD patients. Data Sources: A PubMed literature search was performed using keywords pharmacists, chronic kidney disease (CKD), type 2 diabetes (T2D), and finerenone. Study Selection and Data Extraction: All English-language studies on the role of pharmacists in managing CKD patients or finerenone prescriptions were evaluated. Data Synthesis: CKD is a major health problem affecting millions worldwide, especially those with T2D. In recent years, new drugs have been added to the treatment options for patients with T2D and CKD, which have been shown to reduce the risk of cardiovascular and renal complications in large clinical trials. Conclusions: Pharmacists can help detect and treat CKD in patients with T2D. They may use indicators to identify potential candidates for appropriate finerenone therapy, such as stage of CKD, albuminuria level, serum potassium concentration, and use of RAAS inhibitors. Pharmacists can provide education on the benefits and usage of finerenone, monitor response to therapy, adjust the medications and doses, prevent drug interactions, help with adherence and tolerability issues, and coordinate with other healthcare providers.

Ending HIV Transmission in Australia: Expanding PrEP to Cisgender Women: A Scoping Review.

Pre-exposure prophylaxis (PrEP) availability through the Pharmaceutical Benefits Scheme provides real potential for the elimination of HIV transmission in Australia, as evidenced by a rapid decline in HIV incidence among gay and bisexual men (GBM). However, HIV elimination will not be possible without also extending PrEP to other populations, including cisgender women. We conducted a scoping review to examine the extent to which PrEP access for cisgender women has been considered in Australia. A comprehensive search across five databases, grey literature, and hand search of references was conducted. A single reviewer conducted title and abstract screening and two reviewers completed full-text screening and data extraction. Nineteen documents were included in the final review and included both peer-reviewed journal articles and guidelines and strategies. Focused discussion of cisgender women's use of PrEP was largely missing from the literature and, although their use of PrEP is supported in some relevant guidelines, little has been done to actively develop strategies to inform cisgender women about PrEP as a precursor to prescribing for HIV prevention. Healthcare providers' narrow view of PrEP as being the domain of GBM further limits cisgender women's potential access. If HIV elimination in Australia is to be a reality, we need to develop mechanisms to specifically engage with cisgender women about PrEP.