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Nevin Manimala Statistics

Hearing and balance functions in patients with systemic lupus erythematosus

Acta Otolaryngol. 2024 Oct 21:1-5. doi: 10.1080/00016489.2024.2416934. Online ahead of print.

ABSTRACT

BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic, inflammatory, autoimmune disease, characterized by multiple organ involvement, which is seen more often in young females.

OBJECTIVES: To evaluate the hearing and balance functions in SLE patients.

MATERIALS AND METHODS: Twenty-four SLE patients, 24 healthy controls underwent pure tone audiometry (0.125-16 kHz), VNG, vestibular evoked myogenic potential (VEMP), and video head impulse test (vHIT).

RESULTS: A statistically significant difference was determined between the control group and the SLE group at 0.125, 0.25, 0.5, 1.0, 6.0, 8.0, 10, 12, 14, and 16 kHz frequencies. Sensorineural hearing loss was observed in 37.5% of the SLE group. The pursuit test was pathological at the rate of 25% in the SLE group. No response was obtained in six SLE patients in the oVEMP test and four SLE patients in the cVEMP test. The mean posterior SCC VOR gain values were 0.64 ± 0.2 in the SLE group. A significant difference was determined between the groups with respect to posterior SCC VOR gains.

CONCLUSIONS AND SIGNIFICANCE: Our findings show that SLE disease may negatively affect the hearing system and the vestibular system as well. The current study is the first study to comprehensively evaluate SLE patients with VNG, VEMP, and vHIT tests.

PMID:39432242 | DOI:10.1080/00016489.2024.2416934

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Nevin Manimala Statistics

Clinical Efficacy and Safety of Novel Anticoagulants for the Management of Venous Thromboembolism in Patients with Cancer: A Systematic Review and Meta-Analysis

Cardiovasc Drugs Ther. 2024 Oct 21. doi: 10.1007/s10557-024-07620-x. Online ahead of print.

ABSTRACT

PURPOSE: Cancer patients face a four- to sevenfold higher risk of venous thromboembolism (VTE) than the general population. Novel oral anticoagulants (NOACs) provide convenient alternatives to traditional therapies.

METHODS: We performed a systematic literature search across PubMed, Embase, and the Cochrane Library, targeting studies that examined the use of NOACs in cancer-associated VTE. The search included randomized controlled trials (RCTs). Selected studies compared NOACs with low-molecular-weight heparin (LMWH) or vitamin K antagonists (VKA) in cancer patients diagnosed with VTE. A meta-analysis using a random-effects model was applied to estimate pooled effect sizes for outcomes.

RESULTS: In this meta-analysis, we included 12 RCTs. Results showed NOACs were more effective than LMWH in preventing VTE recurrence (RR 0.66, 95% CI 0.52-0.83, p = 0.0004). Compared with VKAs, NOACs showed no significant difference (RR 0.63, 95% CI 0.34-1.15, p = 0.13). However, this finding is limited by the small patient sample. Major bleeding outcomes were similar between NOACs and LMWH/VKAs (RR 1.24, 95% CI 0.85-1.80, p = 0.28; RR 0.77, 95% CI 0.39-1.53, p = 0.46, respectively). Meta-regression analysis indicated a statistically significant positive correlation between mortality and major bleeding events when comparing NOACs with LMWH (p = 0.049). There was no significant difference in all-cause mortality between patients treated with NOACs and those treated with LMWH (RR 1.04, 95% CI 0.92-1.18, p = 0.54) or VKAs (RR 0.94, 95% CI 0.72-1.23, p = 0.65).

CONCLUSION: Meta-analysis shows NOACs, especially factor Xa inhibitors, reduce VTE recurrence in cancer patients more effectively than LMWH. Comparison between NOACs and VKAs is inconclusive due to limited patient data. Further research is needed to assess NOACs’ efficacy and safety against VKAs.

PMID:39432236 | DOI:10.1007/s10557-024-07620-x

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Nevin Manimala Statistics

Carbon price prediction in China based on ensemble empirical mode decomposition and machine learning algorithms

Environ Sci Pollut Res Int. 2024 Oct 21. doi: 10.1007/s11356-024-35316-0. Online ahead of print.

ABSTRACT

The carbon emission trading market is crucial for reducing emissions, conserving energy, and enhancing the climate and environment. Studying carbon price forecasting can encourage China’s involvement in international carbon financial instruments trading and promote the development of China’s pilot carbon markets. This study employs ensemble empirical mode decomposition (EEDM) to convert the initial carbon price, which is a non-stationary signal, into several intrinsic mode functions and residual terms. Subsequently, hybrid machine learning methods are used to estimate the carbon price. For empirical analysis, the three main carbon markets with large trading volumes, Guangdong, Hubei, and Shenzhen, are selected from the eight pilot carbon markets. To achieve short-term carbon price prediction, a hybrid model combining a genetic algorithm (GA) and back propagation (BP) neural network is used. This model effectively addresses the issue of neural networks falling into local optimization. The results indicate that the hybrid algorithm is significantly superior to other algorithms for short-term prediction. Additionally, another hybrid model, combining the least squares support vector machine (LSSVM) and particle swarm optimization (PSO) algorithms, is employed to reduce forecast error while minimizing search parameters, which is not possible with traditional neural network models.

PMID:39432218 | DOI:10.1007/s11356-024-35316-0

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Nevin Manimala Statistics

Income inequality-renewable energy demand nexus in emerging Asian economies: does asymmetry matter?

Environ Sci Pollut Res Int. 2024 Oct 21. doi: 10.1007/s11356-024-35315-1. Online ahead of print.

ABSTRACT

Several efforts have been made to explore the income inequality influence on environmental degradation, but the query regarding the nexus of income inequality and renewable energy consumption (REC) is still unanswered. This vacuum in existing literature has raised the need to inspect the relationship between income inequality and REC. Thus, this study purposes to investigate the asymmetric effect of income inequality on REC for emerging Asian economies over the period 1990-2019 by adopting the nonlinear autoregressive distributed lag (NARDL) approach. The panel-wise long-run results infer that positive shock in income inequality exerts a significant negative effect on REC, while negative shock in income inequality has an insignificant effect on REC. Likewise, economy-wise long-run findings reveal that a positive shock in income inequality brings a negative and statistically significant influence on REC in the case of China, India, and Iran, while a negative shock in income inequality brings a positive influence on REC only in case of Russia.

PMID:39432217 | DOI:10.1007/s11356-024-35315-1

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Nevin Manimala Statistics

The influence of economic determinants on CO2 emissions in Belt and Road Initiative (BRI) countries

Environ Sci Pollut Res Int. 2024 Oct 21. doi: 10.1007/s11356-024-35288-1. Online ahead of print.

ABSTRACT

CO2 emissions in Belt and Road Initiative (BRI) countries are precisely influenced by economic determinants, requiring a comprehensive perspective. The BRI can augment its prospects for sustainable development by acknowledging the obstacles it faces and promoting global collaboration. Examining the CO2 emission (CO2e) in BRI countries in response to economic determinants such as financial development (FD), income distribution (ID), foreign direct investment (FDI), economic complexity index (ECI), and economic growth (EG) will determine the study’s long-term and short-term impacts. This study introduces a novel concept of CO2es by employing panel data from 1991 to 2020. Thus, the CD, Kao, Pedroni, FMOLS, and pooled mean group-autoregressive distributed lag (PMG-ARDL) tests are utilized to assess cointegration. According to empirical findings, economic determinants (ECI, EG, FDI, and ID) have a statistically significant short-run and long-run impact on CO2e in BRI countries. Policymakers in BRI countries should integrate monetary development, FDI, and CO2es to foster EG, attract FDI, and promote sustainable development through regulatory frameworks.

PMID:39432216 | DOI:10.1007/s11356-024-35288-1

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Nevin Manimala Statistics

A simple four symptom-based BEDS score to predict dyssynergic defecation in patients with chronic constipation

Indian J Gastroenterol. 2024 Oct 21. doi: 10.1007/s12664-024-01697-w. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Dyssynergic defecation (DD) is a disorder of anorectal function characterized by impaired relaxation or inappropriate contraction of pelvic floor muscles on attempted defecation. Based on previous Indian studies, we devised a symptom score (bleeding per rectum, excessive straining for stools, digitation, sense of incomplete evacuation/blockage-BEDS) and tried to determine if it can identify which patients with chronic constipation are more likely to have DD.

METHODS: This is a prospective observational cohort study in which consecutive adult patients (> 18 years) with chronic constipation who were referred to our centre for anorectal manometry (ARM) between 2019 and 2023 were included. Prior to tests, patients were asked in detail regarding their symptoms and scoring was done. ARM was done by a single observer. Diagnosis of DD was based on standard criteria. Statistical tests used were median, range and percentages, Chi-square test and Mann-Whitney U-test. The data was analyzed for sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Agreement of symptom-based scoring and DD diagnosis as per criteria was calculated using Cohen’s κ coefficient. A p value of < 0.05 was considered statistically significant.

RESULTS: As many as 244 patients (males 140, median age 42 years) formed the study cohort. Of these, 104 (42.6%) have DD. Sense of incomplete evacuation/sense of blockage (72.1% vs. 40%, p < 0.0001), excessive straining (73.1% vs. 22.1%, p < 0.0001) and digitation (28.8% vs. 13.5%, p 0.003) were more commonly reported in patients with DD. Taking a cut-off score of > / = 2, sensitivity of 69.2%, specificity 81.4% and positive likelihood ratio of 3.73 were noted. Similarly, if the score of > / = 3 was considered, the likelihood ratio increased to 4.71 with an increase in specificity (94.29%) and fall in sensitivity (26.92%).

CONCLUSION: Symptom-based BEDS score of > / = 2 is useful in identifying patients with DD.

PMID:39432213 | DOI:10.1007/s12664-024-01697-w

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Nevin Manimala Statistics

Enhancing insights into Global Cancer Statistics 2022: implications for cancer control

Sci China Life Sci. 2024 Oct 18. doi: 10.1007/s11427-024-2734-6. Online ahead of print.

NO ABSTRACT

PMID:39432206 | DOI:10.1007/s11427-024-2734-6

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Nevin Manimala Statistics

Impact of flexible assertive community treatment model (FACT) on community rehabilitation of schizophrenia in Southern China

Neurogenetics. 2024 Oct 21. doi: 10.1007/s10048-024-00778-4. Online ahead of print.

ABSTRACT

Schizophrenia is a group of severe mental illnesses of unknown etiology, most of which are slow or subacute in young adults. 160 adult schizophrenic patients were randomly divided into an intervention group given FACT and a control group given routine mental health follow-up. The scale includes the Positive and Negative Syndrome Scale (PANSS), Social Disability Screening Schedule Scale (SDSS), and the World Health Organization’s multicultural quality of life instrument in its brief form Scale(WHOQOL-BREF) were recorded. The average scores of positive scale, negative scale, general psychopathology scale and total score in PANSS scale before intervention(baseline) of the patients in the intervention group were 24.90 ± 5.43, 17.53 ± 3.84, 38.31 ± 4.09 and 80.54 ± 6.75. After 6 months and 12 months of intervention, positive scale, negative scale, general psychopathology scale and total score of the PANSS scale in the intervention group and the total score of SDSS all decreased significantly. The WHOQOL-BREF total score was significantly improved, and the differences were statistically significant (P < 0.05). The FACT intervention model has a significant effect on the rehabilitation of patients with schizophrenia in the community, improves their social function, and improves their quality of life.

PMID:39432193 | DOI:10.1007/s10048-024-00778-4

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Nevin Manimala Statistics

Metabolomic signature of sperm in men with obesity-associated asthenozoospermia

J Assist Reprod Genet. 2024 Oct 21. doi: 10.1007/s10815-024-03294-4. Online ahead of print.

ABSTRACT

PURPOSE: Obese men have a significantly increased risk of developing asthenozoospermia. Sperm motility is directly related to cellular energy supply and metabolic status. Sperm metabolomics research based on Gas chromatography-mass spectrometry (GC-MS) technology can provide useful information for the pathological mechanism, diagnosis, and treatment of obesity-associated asthenozoospermia.

METHODS: Sperm samples were obtained from a healthy control group (n = 49) and patients with obesity-associated asthenozoospermia (n = 40). After the analysis of sperm samples using GC-MS, various multivariate statistical methods such as principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and orthogonal partial least squares-discriminant analysis (OPLS-DA) were conducted.

RESULTS: A total of 56 metabolites were identified in the sperm samples. Among them, 19 differential metabolites were found between the two groups. Metabolites such as glutamic acid, fumaric acid, and cysteine were significantly downregulated in the sperm of patients with obesity-associated asthenozoospermia, while metabolites like palmitic acid, stearic acid, and alanine were significantly upregulated. The differential metabolites were enriched in D-glutamine and D-glutamate metabolism; proline, aspartate, and glutamate metabolism; glutathione metabolism and the other metabolic pathways.

CONCLUSION: Obesity may influence the composition of metabolic products in sperm, and metabolomic analysis proves beneficial for the future diagnosis and treatment of obesity-associated asthenozoospermia.

PMID:39432192 | DOI:10.1007/s10815-024-03294-4

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Nevin Manimala Statistics

Evaluating a digital tool for supporting people affected by breast cancer: a prospective randomized controlled trial-the ADAPT study

Support Care Cancer. 2024 Oct 21;32(11):740. doi: 10.1007/s00520-024-08923-3.

ABSTRACT

PURPOSE: This study reports the findings from the ADAPT randomized controlled trial (RCT), concerning the impact of a digital tool for supported self-management in people affected by breast cancer on patient activation as the primary outcome, with health-related quality of life (HRQoL), and health status as secondary outcomes.

METHODS: Women with early-stage breast cancer were randomly assigned to standard care (control) or standard care in addition to the breast cancer digital tool (intervention). Data were collected using a demographic questionnaire, the Patient Activation Measure (PAM-13), the European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire (EORTC QLQ-C30), and the EuroQol 5-Dimension 5-Level questionnaire (EQ-5D-5L) at baseline, 6 weeks, 3 months, 6 months, and 1 year from diagnosis. Linear mixed effect model regression was used to assess the effect of the digital tool over the first year from diagnosis while correcting for intra-participant correlation.

RESULTS: A total of 166 participants were included, with 85 being randomized into the intervention. No significant differences (p > 0.05) in the PAM-13 scores, EORTC QLQ-C30 scales (global QoL, physical functioning, emotional functioning, pain, fatigue), and EQ-5D-5L Index between the control and intervention groups were observed. It is important to note that there was significant non-adherence within the intervention group.

CONCLUSION: The breast cancer digital tool had no statistically significant impact on patient activation, HRQoL, and health status over time compared to standard care alone in women with early-stage breast cancer. Future research should focus on identifying and addressing barriers to digital tool engagement to improve efficacy. Clinical trial information The study was registered at https://clinicaltrials.gov (NCT03866655) on 7 March 2019 ( https://clinicaltrials.gov/study/NCT03866655 ).

PMID:39432189 | DOI:10.1007/s00520-024-08923-3