The economic and environmental effects of China's environmental expenditure under financing constraints.

Sound ecological and environmental governance systems are critical for promoting green and low-carbon economic transformation and high-quality development. However, financing constraints are major obstacle to the revitalization and transformation of China's real economy. In this study, we constructed an environmental dynamic stochastic general equilibrium (E-DSGE) model that incorporates two types of environmental expenditure and financing constraints, and discussed their economic and environmental effects. Based on this, we further considered the impacts of financing constraints on policy effects. Firstly, we found that increases in carbon emission reduction subsidies in government expenditure (1) increase total economic output and (2) motivate enterprises to increase emission reduction efforts and reduce pollution intensity and emissions, thereby reducing the inventory of environmental pollutants while balancing economic benefits and emission reduction. Secondly, increasing the proportion of government special expenditure on environmental protection promote output growth and directly reduces the pollution stock in the environment. However, such policies may also reduce the emission reduction efforts of enterprises, leading to increases in their pollution emissions and intensity. Lastly, the existence of financing constraints is not conducive to the growth of total output but increases the pollution control effect of emission reduction subsidies and pollution prevention expenditure. Application of the E-DSGE model offers new theoretical insight into environmental economics and macroeconomics. Moreover, the results of this study provide a reference for optimizing the structure of fiscal expenditure.

Caregivers' Burden on Patients with Dementia Having Multiple Chronic Diseases.

Purpose: This study aimed to find the caregiving burden level for patients with dementia who had multiple chronic diseases by simultaneously considering both patient and caregiver factors. Participants and Methods: A cross-sectional study with 284 patients with dementia having multiple chronic diseases managed by the dementia collaborative care team at Changhua Christian Hospital in Taiwan was conducted. The input variables were from patients, such as age, gender, mood symptoms, and behavioral and psychological symptoms, and caregivers, including age, relation to the patient, caregiver's mood, and caregiving burden. The Apriori algorithm was employed to determine the association between patient and caregiver factors and different caregiving burden levels by setting up the minimum support of 1% and confidence of 90% along with lift >1. Results: When caring for patients with dementia, twenty scenarios were found for caregivers with a severe burden. In addition, 1936 scenarios were related to caregivers with a moderate-to-severe burden. Specifically, there were eight scenarios for patients with three chronic diseases which could be further categorized into five general rules. Two hundred and fifty scenarios belonging to patients with two chronic diseases could be classified into 16 different combinations from eight chronic diseases of the database. Conclusion: Caregiver's mood, patients with mild dementia, and patients aged 75-84 years were associated with a severe caregiving burden. College and above education of the caregiver, the patient aged 85 years or more, and at least one of caregiver's moods were the variables to result in a moderate-to-severe burden for caregivers caring for patients with three multiple chronic diseases. Moreover, college and above education of the caregiver, mood symptom, age of the caregiver, and age of the patient were important variables for caregivers who had a moderate-to-severe burden taking care of patients with two chronic diseases.

Neuropsychiatric Symptoms Predict Faster Cognitive Decline in Dementia Collaborative Care Than Antipsychotic Use.

Background: To compare short-term cognitive outcomes among groups with and without neuropsychiatric symptoms (NPSs) or antipsychotic prescription and to determine which disease status or treatment modality is associated with relatively faster cognitive decline. Methods: We retrospectively analyzed a prospective cohort of patients diagnosed with dementia and mild cognitive impairment. All participants were evaluated using the Cognitive Abilities Screening Instrument (CASI) during their initial clinical assessments and at the annual follow-up. The dependent variable was annual delta CASI. Multivariate linear regression analysis was used to assess the degree of association between NPS, antipsychotic use, and cognitive decline after adjusting for confounding factors. Neuropsychiatric symptoms were examined individually to determine their predictive value for cognitive decline. Results: A total of 407 (N = 407) patients were included in the study. NPSs, rather than antipsychotic use, led to faster cognitive decline. A higher baseline NPI total score predicted a significantly faster decline in CASI scores (1-year delta CASI = -0.22, 95% CI = -0.38~ -0.05, p = 0.010). Specific items (delusions, agitation, depression, anxiety, euphoria, and apathy) in the NPS significantly increased cognitive decline. Conclusion: Certain neuropsychiatric symptoms, rather than antipsychotic use, lead to faster cognitive decline in a dementia collaborative care model. Checking for and providing appropriate interventions for NPS in people with dementia and their caregivers are highlighted.

Effects of neoadjuvant VEGF­TKI treatment on surgery for renal cell carcinoma: A systematic review and meta­analysis.

To evaluate the effects of neoadjuvant vascular endothelial growth factor-tyrosine kinase inhibitor (VEGF-TKI) treatment on surgery in patients with renal cell carcinoma (RCC), sources from Embase, PubMed and the Cochrane Library databases collected from inception to December, 2022 were used for analysis in the present study, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data regarding surgical outcomes were collected. The pooled effect sizes were calculated in terms of the risk ratio (RR)/standard mean difference (SMD) with 95% confidence intervals (CIs) using the random-effects model. Subgroup and sensitivity analyses were used to explore the source of heterogeneity within the data. In total, 9 identified articles involving 829 patients (336 in the neoadjuvant + surgery group; 493 in the surgery group) were included in the present study, according to the criteria. The results demonstrated that there were no significant differences in blood loss (SMD=-0.11; 95% CI, -0.63-0.41; P=0.68), postoperative length of hospital stay or total length of hospital stay (SMD=0.23; 95% CI, -0.55-1.01; P=0.57) or complications (RR=1.16; 95% CI, 0.80-1.67; P=0.44) between the two groups. However, neoadjuvant therapy reduced the operation time (SMD=-0.67; 95% CI, -1.25- -0.09; P=0.02) and resulted in a greater proportion of patients choosing partial nephrectomy (RR=1.84; 95% CI, 1.47-2.31; P<0.00001). In the subgroup analysis, the blood loss was significantly lower in patients with RCC with inferior vena cava tumor thrombus in the neoadjuvant group (SMD=-1.10; 95% CI, -1.82- -0.38; P=0.003). In conclusion, the results of the present study indicated that neoadjuvant VEGF-TKI treatment in patients with RCC shortened operation time, decreased blood loss and did not cause an increase in perioperative complications. In addition, this treatment modality may encourage patients to opt for partial nephrectomy to preserve renal function.

Different diagnostic strategies combining prostate health index and magnetic resonance imaging for predicting prostate cancer: A multicentre study.

OBJECTIVE: To explore how prostate health index (PHI) and multiparametric magnetic resonance imaging (mpMRI) should be used in concert to improve diagnostic capacity for clinically significant prostate cancers (CsCaP) in patients with prostate-specific antigen (PSA) between 4 and 20 ng/ml. METHODS: About 426 patients fulfilling the inclusion criteria were included in this study. Univariable and multivariable logistic analyses were performed to analyze the association between the clinical indicators and CaP/CsCaP. We used the Delong test to compare the differences in the area under the curve (AUC) values of four models for CaP and CsCaP. Decision curve analysis (DCA) and calibration plots were used to assess predictive performance. We compared clinical outcomes of different diagnostic strategies constructed using different combinations of the models by the chi-square test and the McNemar test. RESULTS: The AUC of PHI-MRI (a risk prediction model based on PHI and mpMRI) was 0.859, which was significantly higher than those of PHI (AUC = 0.792, P < 0.001) and mpMRI (AUC = 0.797, P < 0.001). PHI-MRI had a higher net benefit on DCA for predicting CaP and CsCaP in comparison to PHI and mpMRI. Adding the PHI-MRI in diagnostic strategies for CsCaP, such as use PHI-MRI alone or sequential use of PHI followed by PHI-MRI, could reduce the number of biopsies by approximately 20% compared to use PHI followed by mpMRI (256 vs 316, 257 vs 316, respectively). CONCLUSIONS: The PHI-MRI model was superior to PHI and MRI alone. It may reduce the number of biopsies and ensure the detection rate of CsCaP under an appropriate sensitivity at the cost of an increased number of MRI scans.

The Effectiveness of the Case Manager-Centered Collaborative Care Model with Computer-Assisted Assessment on Quality Indicators for the Care of Dementia.

INTRODUCTION: This study aimed to investigate the influence of case management and its corresponding computer-assisted assessment system on the quality improvement of dementia care. METHODS: This observational study enrolled 2029 patients and their caregivers at Changhua Christian Hospital in Taiwan. Physicians who made the diagnosis of dementia would introduce the patient and caregiver dyad to the case manager-centered collaborative care team after obtaining agreement. The achievement rates of 11 quality indicators (QIs) comprising timely diagnostic evaluations, regular screens of cognition and neuropsychiatric symptoms, caregiver support, and proper medication prescriptions were counted. Different timeframes (≤4 months, 4 months-1 year, 1-2 years, 2-3 years, or ≥3 years) from diagnosis of dementia to collaborative care intervention were compared. RESULTS: A significantly higher attainment rate was achieved for patients with earlier entry into the collaborative team model, including QIs about timely diagnosis and regular screening, and caregiver support. The QIs regarding dementia medication prescriptions and documentation of the risk of antipsychotics remained similar regardless of the time of entry into the model. The completion rates of QIs also improved after the information system was launched. CONCLUSIONS: Physician-case manager co-management in the setting of a collaborative care model with a computer-assisted assessment system helps improve QI achievement for dementia care.

Predictors of live-in migrant caregiver employment for people with dementia in Taiwan.

BACKGROUND: With the increasing number of individuals with dementia, families have hired an increasing number of live-in migrant caregivers (LIMCs). Currently, limited evidence is available regarding the influence of long-term care resource utilization on the hiring of LIMCs for caring for individuals with dementia in Taiwan. METHODS: We recruited individuals with dementia who did not hire LIMCs and their primary family caregivers from nine hospitals in Taiwan as baseline. Multivariable logistic regression was used to evaluate the utilization of long-term care resources for individuals with dementia and other factors that may affect the decision to hire LIMCs. RESULTS: The users of non-long-term care resources had the highest likelihood of hiring LIMCs (odds ratio [OR] = 4.24, 95% CI, 2.30-7.84). Compared with spouses, nonimmediate family caregivers (OR = 3.40, 95% CI, 1.16-9.90) were significantly more likely to hire LIMCs. A higher likelihood of hiring LIMCs was observed for those with Lewy body dementia compared with other individuals (OR = 2.31, 95% CI, 1.03-5.14). Compared with individuals who did not hire LIMCs, those who hired LIMCs exhibited higher scores on the Neuropsychiatric Inventory (NPI) and higher severity of individual NPI items. CONCLUSION: Hiring LIMCs is strongly correlated with the utilization of non-long-term care resources and is influenced by the dynamics between individuals with dementia and their primary family caregivers. A higher likelihood of hiring LIMCs was observed for individuals with Lewy body dementia and individuals with elevated NPI scores compared with their counterparts. Given these observations, various support strategies and interventions should be tailored to the specific requirements of individuals with dementia and their families.

A 12-Year Comparison of Alzheimer's Dementia Patients With Their Informants in Taiwan.

BACKGROUND: To update the characteristics of patients with Alzheimer's disease (AD) and their informants in Taiwan and compare them from 12 years ago. METHODS: 1218 patients with AD and their informants were recruited from six hospitals in Taiwan. The uniform data set version 3.0 (UDS3, form A1-A3) were administered. RESULTS: Compared with the first registration from 2010-2012 (n = 691), the mean clinical dementia rating sum of boxes score was significantly lower, more patients living independently, and more informants not living together with the patients. A total of 11.2%, 4.1%, 12.8%, and 0.5% of the patients had a reported history of cognitive impairment in their mothers, fathers, siblings, and children, respectively. CONCLUSION: Compared with the data from 2010, patients have been diagnosed at a milder disease stage, and their informants used telephone contact more frequently instead of living with the patients. Family histories of cognitive impairment in patients with AD remain frequent.

Corrigendum: A comparison of caregiver burden for different types of dementia: an 18-month retrospective cohort study.

[This corrects the article DOI: 10.3389/fpsyg.2021.798315.].

Case Management-based Collaborative Care Model Associated with improvement in neuropsychiatric outcomes in community-dwelling people living with dementia.

BACKGROUND: This study aimed to explore the association between adherence of collaborative care model and short-term deterioration of BPSD after controlling patient and caregiver factors. METHODS: This retrospective case-control study enrolled 276 participants who were newly diagnosed with dementia and BPSD. A dementia collaborative care team interviewed patients and caregivers to form a care plan and provided individualized education or social resource referrals. A multivariate logistic regression model with backward selection was used to test factors associated with BPSD deterioration, defined as worse neuropsychiatric inventory (NPI) scores 1 year after joining the care model. RESULTS: Male sex (odds ratio [OR] = 0.45; 95% confidence interval [CI] = 0.25-0.84) and higher clinical dementia rating scale sum of boxes scores (CDR-SOB) (OR = 0.90; 95% CI = 0.83-0.98) were protective factors, whereas spouse caregivers and withdrawals from the care model (OR = 3.42; 95% CI = 1.28-9.15) were risk factors for BPSD deterioration. CONCLUSIONS: Our study showed that both patient and caregiver factors were associated with deterioration of BPSD. The case manager-centered dementia collaborative care model is beneficial for the management of BPSD. Healthcare systems may consider implementing a case management model in clinical dementia care practice.

Diagnostic Efficiency of Pan-Immune-Inflammation Value to Predict Prostate Cancer in Patients with Prostate-Specific Antigen between 4 and 20 ng/mL.

INTRODUCTION: To evaluate the predictive value of the pan-immune-inflammation value (PIV) and other systemic inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), for prostate cancer (PCa) and clinically significant prostate cancer (CSPCa) in patients with a prostate-specific antigen (PSA) value between 4 and 20 ng/mL. PATIENTS AND METHODS: The clinical data of 319 eligible patients who underwent prostate biopsies in our hospital from August 2019 to June 2022 were retrospectively analyzed. CSPCa was defined as a "Gleason grade group of ≥2". A univariable logistic regression analysis and multivariable logistic regression analysis were conducted to analyze the association between the PIV, SII, MLR, and PCa/CSPCa. For the inflammatory indicators included in the multivariable logistic regression analysis, we constructed models by combining the separate inflammatory indicator and other significant predictors and compared the area under the curve (AUC). A nomogram based on the PIV for PCa was developed. RESULTS: We included 148 PCa patients (including 127 CSPCa patients) and 171 non-PCa patients in total. The patients with PCa were older, had higher MLR, SII, PIV, and total PSA (TPSA) values, consumed more alcohol, and had lower free/total PSA (f/T) values than the other patients. Compared with the non-CSPCa group, the CSPCa group had higher BMI, MLR, PIV, TPSA values, consumed more alcohol, and had lower f/T values. The univariable regression analysis showed that drinking history, higher MLR, PIV, and TPSA values, and lower f/T values were independent predictors of PCa and CSPCa. The AUC of the PIV in the multivariable logistic regression model was higher than those of the MLR and SII. In addition, the diagnostic value of the PIV + PSA for PCa was better than the PSA value. However, the diagnostic value for CSPCa was not significantly different from that of using PSA alone, while the AUC of the PIV + PSA was higher than the individual indicator of the PSA value. CONCLUSIONS: Our study suggests that for the patients who were diagnosed with PSA values between 4 and 20 ng/mL, the PIV and MLR are potential indicators for predicting PCa and CSPCa. In addition, our study indicates that the new inflammatory index PIV has clinical value in the diagnosis of PCa and CSPCa.

The function of Prostate Health Index in detecting clinically significant prostate cancer in the PI-RADS 3 population: a multicenter prospective study.

PURPOSE: The purpose of this study is to identify patients in the prostate imaging reporting and data system (PI-RADS) 3 population who need biopsy by using prostate health index (PHI) and other clinical parameters in order to avoid unnecessary biopsies. METHODS: A total of 302 patients from four hospital were enrolled, and 92 patients with PI-RADS 3 were included finally. All patients were biopsy-naïve and had suspicion of prostate cancer (PCa) with PSA level in 4-20 ng/ml and a normal digital rectal exam. Univariable and stepwise forward multivariable logistic regression analyses were used to evaluated the risk factors. The sensitivity, specificity, and positive and negative predictive values of different cut-off value of PHI were calculated for the diagnosis of clinically significant prostate cancer (CSPCa). RESULTS: The overall patient's mean age was 65.65 ± 9.55 years, median PSA was 7.68 (5.28-12.07) ng/ml and median PHI was 43.80 (33.09-64.69). PCa was identified in 32.61% (30/92) of PI-RADS 3 and CSPCa was identified in 28.26% (26/92) of PI-RADS 3. The risk factors for detecting PCa and CSPCa in multivariable regression analysis were age and PHI. When the biopsy was restricted to those PHI ≥ 43.5, 42.39% unnecessary biopsied could avoid. The sensitivity, specificity, positive predictive value and negative predictive value for the detection of CSPCa in the PHI ≥ 43.5 were 92.31%, 63.64%, 50% and 95.45% respectively. CONCLUSION: The inclusion of PHI in the diagnosis of the PI-RADS 3 population may avoid many unnecessary biopsies. The multivariable models could increase the detection of cancer.

Nomograms Combining PHI and PI-RADS in Detecting Prostate Cancer: A Multicenter Prospective Study.

(1) Background: The study aimed to construct nomograms to improve the detection rates of prostate cancer (PCa) and clinically significant prostate cancer (CSPCa) in the Asian population. (2) Methods: This multicenter prospective study included a group of 293 patients from three hospitals. Univariable and multivariable logistic regression analysis was performed to identify potential risk factors and construct nomograms. Discrimination, calibration, and clinical utility were used to assess the performance of the nomogram. The web-based dynamic nomograms were subsequently built based on multivariable logistic analysis. (3) Results: A total of 293 patients were included in our study with 201 negative and 92 positive results in PCa. Four independent predictive factors (age, prostate health index (PHI), prostate volume, and prostate imaging reporting and data system score (PI-RADS)) for PCa were included, and four factors (age, PHI, PI-RADS, and Log PSA Density) for CSPCa were included. The area under the ROC curve (AUC) for PCa was 0.902 in the training cohort and 0.869 in the validation cohort. The AUC for CSPCa was 0.896 in the training cohort and 0.890 in the validation cohort. (4) Conclusions: The combined diagnosis of PHI and PI-RADS can avoid more unnecessary biopsies and improve the detection rate of PCa and CSPCa. The nomogram with the combination of age, PHI, PV, and PI-RADS could improve the detection of PCa, and the nomogram with the combination of age, PHI, PI-RADS, and Log PSAD could improve the detection of CSPCa.

Care Need Combinations for Dementia Patients with Multiple Chronic Diseases.

Purpose: The purpose of this study was to find care need combinations for dementia patients with multiple chronic diseases and their caregivers. Patients and Methods: A cross-sectional study was conducted with 83 patients who had multiple chronic diseases. Variables from patients included age, gender, severity of clinical dementia rating, feeding, hypnotics, mobility, getting lost, mood symptoms, and behavioral and psychological symptoms. Moreover, 26 types of care needs were included in this study. The Apriori algorithm was employed to first identify care need combinations and then to find the relationships between care needs and variables from dementia patients with multiple chronic diseases. Results: Six rules were generated for care need combinations. Four care needs could be formed as a basic care need bundle. Moreover, two additional care needs could be added to provide a wider coverage for patients. In the second stage, 93 rules were found and categorized into three groups, including 2, 6, and 28 general rules with support of 30% but less than 40%, 20% but less than 30%, and 10% but less than 20%, respectively. When the support value is 10% but less than 20%, more variables from patients were found in rules which help the dementia collaborative care team members provide tailor-made care need bundles. Conclusion: Four basic care needs were social resources referral and legal support (Care (1)), drug knowledge education (Care (3)), memory problem care (Care (5)), and fall prevention (Care (8)). Besides, disease knowledge education (Care (2)) and hypertension care (Care (16)) were frequent unmet needs in this specific population. Moreover, care for the mood of the caregiver (Care (11)) should be considered especially in dementia patients with preserved ambulatory function or with symptoms of hallucination. The collaborative care team should pay more attention to those care needs when assessing this specific population.

Elastic Knowledge Distillation by Learning From Recollection.

Model performance can be further improved with the extra guidance apart from the one-hot ground truth. To achieve it, recently proposed recollection-based methods utilize the valuable information contained in the past training history and derive a "recollection" from it to provide data-driven prior to guide the training. In this article, we focus on two fundamental aspects of this method, i.e., recollection construction and recollection utilization. Specifically, to meet the various demands of models with different capacities and at different training periods, we propose to construct a set of recollections with diverse distributions from the same training history. After that, all the recollections collaborate together to provide guidance, which is adaptive to different model capacities, as well as different training periods, according to our similarity-based elastic knowledge distillation (KD) algorithm. Without any external prior to guide the training, our method achieves a significant performance gain and outperforms the methods of the same category, even as well as KD with well-trained teacher. Extensive experiments and further analysis are conducted to demonstrate the effectiveness of our method.

Influence of care modes and social resources on psychotropic medication use in community-dwelling dementia patients.

Background: Optimal use of psychotropic medications for people living with dementia is important. By finding potentially modifiable factors, dementia care teams may find solutions to achieve the appropriate use of psychotropic drugs. Objective: This study aimed to elucidate patient and caregiver factors associated with the use of psychotropic drugs listed in the potentially inappropriate medications (PIMs) in community-dwelling people with dementia. Methods: This cross-sectional study enrolled 808 patients newly diagnosed with dementia, and their caregivers, from a dementia clinic at Changhua Christian Hospital. Patient and caregiver characteristics, care mode, and social resource usage were recorded. Multivariate logistic regression was used to identify factors associated with prescribing psychotropic medications. Results: Of all the participants, 39.1% used at least one of psychotropic medication categorized as PIM. Patients with frontotemporal dementia, with behavior or psychological symptoms, or cared by sole foreign care workers; caregivers with higher depression scores, employed or non-spouse caregivers carried a higher risk of prescription of psychotropic medications listed in PIMs. Conclusion: Psychotropic drug prescriptions are associated with patient and caregiver factors. Therefore, implementing appropriate interventions, especially those targeting potentially modifiable factors, is important to reduce psychotropic medication use.

Applying Apriori algorithm to explore long-term care services usage status-Variables based on the combination of patients with dementia and their caregivers.

Purpose: The aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage. Patients and methods: A cross-sectional study was conducted with 475 patients with mild, moderate, and severe dementia at Changhua Christian Hospital, Taiwan. Eleven types of variables from patients with dementia, nine types of variables from patients' caregivers, and 15 types of LTC services were used for this study. The Apriori algorithm was employed to identify the attributes from the patients and their caregivers who used a particular LTC service from a comprehensive viewpoint. Results: A total of 75 rules were generated by the Apriori algorithm with support of 2%, confidence of 80%, and lift >1. Among these rules, 25 rules belonged to home personal care services which were summarized further into four general rules for home personal care services. On the other hand, 50 rules belonged to assistive devices that were summarized further into 21 general rules based on their similarities. Patient's walking ability, patient's emotional liability, unemployed or retired caregivers, caregivers' feelings with either helplessness or hopelessness, and caregivers who cared for patients with dementia solely were found to be the critical variables to use home personal care services. In contrast, patient's walking ability, age, and severity as well as caregivers' age, mood, marital status, caregiving burden, and the patient being cared for mainly by a foreign care helper were found to be the critical variables to use assistive devices. Conclusion: This study showed preliminary results on the LTC service usage from patients with dementia and their caregivers residing in the community. Understanding the patient-caregiver dyad's profile leads the service providers, policymakers, and the referral team to tailor service provisions better to meet the needs and identify the potential target groups. The findings in this study serve as references to reduce caregivers' burden as well as to improve the quality of care for patients with dementia.

Analysis and Measurement of Barriers to Green Transformation Behavior of Resource Industries.

To effectively guide and stimulate the green transformation behavior of resource industries and promote the sustainable and high-quality development of the region, it is necessary to deeply analyze and clarify the barrier factors of the green transformation behavior of resource industries. This study measures the green transformation efficiency of the resource industries by selecting the panel data of the mining industry from 29 Chinese provinces, based on the DEA-SBM model, and employing the ideas and methods of system engineering, for the years 2012-2019. Hence, the study employs the Tobit model to verify the factors that hinder the green transformation behavior of the resource industries. The results show that the (1) resource industries' barriers against the green transformation behavior form a significant barrier effect by inhibiting the efficiency of green transformation; (2) there is a difference in the intensity of the effect of the resource industries' barriers to the green transformation behavior; (3) regional heterogeneity exists in the effects of the barriers to the green transformation behavior of the resource industries. The findings of the study can provide a scientific basis for further improving the effectiveness of policies related to the green transformation behavior of resource industries.

Revealing the prognostic and clinicopathological significance of systemic immune-inflammation index in patients with different stage prostate cancer: A systematic review and meta-analysis.

Background: A novel inflammatory marker called the systemic immune-inflammation index (SII) was applied to predict the prognosis of different cancers. However, the role of SII in prostate cancer (PCa) remains unclear. This systematic review aims to explore the prognostic role of SII in different stage PCa. Methods: We comprehensively searched three public databases: PubMed, EMBASE, and the Cochrane Library. The hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were extracted to evaluate the association between SII and the prognosis and clinicopathological characteristics in different stage PCa patients. Results: Ten studies and 7,986 patients were enrolled in our meta-analysis, 1,442 patients were diagnosed with metastatic-castration resistant prostate cancer (mCRPC), and 6544 patients were diagnosed with non-metastatic prostate cancer (nmPCa). According to the pooled results, we found that a high SII was associated with worse overall survival (OS) in mCRPC patients (HR = 1.94, 95% CI: 1.26-3.01, p = 0.003), and a high SII was associated with biochemical recurrence-free survival (BFS) in nmPCa patients (HR = 1.85, 95% CI: 1.06-3.24, p = 0.031). But there was no significant association observed between SII and progression-free survival (PFS) in mCRPC patients (HR = 1.90, 95% CI: 0.87-4.14, p = 0.107). And we found that the high SII was associated with advanced tumor stage of PCa (OR = 2.19, 95% CI: 1.11-4.33, p = 0.024), presence of lymph node involvement (OR = 2.72, 95% CI: 1.96-3.76, p < 0.001) and Gleason score (OR = 1.27, 95% CI: 1.13-1.44, p < 0.001). Conclusion: High SII was associated with bad OS in mCRPC patients, and associated with bad BFS and some adverse pathological features in nmPCa patients. We think SII can be a prognostic predictor for PCa patients. The application of SII will advance the diagnosis and treatment of different stage prostate cancer.

The Effectiveness of Community Aging Care Centers on Global Function for People Living with Dementia.

BACKGROUND: The global population with dementia is growing rapidly. Dementia patients have been included in the services of the long-term care Act 2.0, supported by Taiwan's government since 2017. Community aging care centers are extensively established, which are places providing social connections and group physical and cognitive training programs for elderly people. OBJECTIVE: To elucidate the efficacy of community aging care centers on cognitive function in people with dementia. METHODS: A total of 1,277 patients with dementia diagnosed at the Changhua Christian Hospital outpatient departments were enrolled. A total of 113 patients who used community aging care centers and 452 subjects matched for age, education, and initial score of clinical dementia rating scale sum of boxes (CDR-SOB) control group were analyzed. The primary outcome was the change in CDR-SOB scores before and after utilization of community aging care centers. RESULTS: The mean annual change of CDR-SOB scores were 1.72±2.97, 1.08±2.36, and 1.04±3.64 in control, Community Service Centers for Dementia, and community elderly stations, respectively, after about 1.5 years follow-up. Patients with dementia using community aging care centers had significantly less progression in CDR-SOB scores than those in the control group (-0.65; 95% CI: -1.27, -0.03; p = 0.041). Using one more day of community aging care centers per week significantly promotes 0.16 points of CDR-SOB decline (-0.16, 95% CI: -0.31; -0.00; p = 0.045). CONCLUSION: Community aging care centers, based on the long-term care Act 2.0 in Taiwan, were effective in delaying the decline in global function in people living with dementia.