METHODS: We conducted a comprehensive literature review, searching databases such as PubMed, Embase, and Web of Science until June 2023. Our objective was to identify studies that compared the efficacy of 68Ga-PSMA-11 PET/CT and mpMRI in detecting primary prostate cancer. To determine heterogeneity, the I2 statistic was used. Meta-regression analysis and leave-one-out sensitivity analysis were conducted to identify potential sources of heterogeneity.
RESULTS: Initially, 1286 publications were found, but after careful evaluation, only 16 studies involving 1227 patients were analyzed thoroughly. The results showed that the 68Ga-PSMA-11 PET/CT method had a pooled sensitivity and specificity of 0.87 (95 % CI: 0.80-0.92) and 0.80 (95 % CI: 0.69-0.89), respectively, for diagnosing prostatic cancer. Similarly, the values for mpMRI were determined as 0.84 (95 % CI: 0.75-0.92) and 0.74 (95 % CI: 0.61-0.86), respectively. There were no significant differences in diagnostic effectiveness observed when comparing two primary prostate cancer methodologies (pooled sensitivity P = 0.62, pooled specificity P = 0.50). Despite this, the funnel plots showed symmetry and the Egger test results (P values > 0.05) suggested there was no publication bias.
CONCLUSIONS: After an extensive meta-analysis, it was found that both 68Ga-PSMA-11 PET/CT and mpMRI demonstrate similar diagnostic effectiveness in detecting primary prostate cancer. Future larger prospective studies are warranted to investigate this issue further.
METHOD: This cross-sectional study included 115 women recruited through their husbands who were patients at a selected government health clinic in Malaysia. A self-administered questionnaire containing the Depression Anxiety and Stress Scale-21 and items on health-related information, marital history, sexual history and perception of husband's ED was used to assess possible depression, anxiety and stress.
RESULTS: The prevalence of psychological morbidities was 28.7% (depression=17.4%, anxiety=25.2% and stress=10.4%). Most respondents were middle-aged [median (interquartile range)=44.0 (11.0) years], were employed (55.7%) and had a low income (81.7%). About 47.0% of the spouses had a medical problem. The mean marriage duration was 18.7 (standard deviation=7.9) years. Almost all (90.4%) had sexual intercourse (SI) within the previous month. The majority had moderate-to-high interest in SI (72.2%) with a frequency of one to two times per week (69.6%). The majority (75.7%) did not perceive their husband as having ED. Multiple logistic regression demonstrated that medical illness was significantly associated with anxiety (adjusted odds ratio=2.85, 95% confidence interval=1.11-7.29, P=0.029).
CONCLUSION: Psychological morbidities were present among the spouses of men with T2DM and ED. Psychological well-being was significantly affected by their medical illness. Despite their husband's ED, the women declared to have regular sexual relationships and did not perceive their husband as having erectile problems.
OBJECTIVES: This research aimed to investigate the potential of NanoSECA on cognitive tasks and memory enhancement pathways in a normal adult rat model.
METHODS: Thirty male Sprague Dawley rats (7-8 weeks old) were randomly subjected to five groups (n=six per group). Treatment groups were supplemented with NanoSECA and ethanolic extract of C. asiatica (SECA) for 28 days by oral gavages. Different brain sections were isolated, homogenized, and tested for acetylcholinesterase, antioxidants (glutathione and malondialdehyde), and anti-inflammatory agents (nitric oxide, tumour necrosis factor-α, and prostaglandin E2).
RESULT: NanoSECA supplementation markedly enhanced the acetylcholine, glutathione levels and reduced a distinct diminution in plasma activities of acetylcholinesterase, malondialdehyde, nitric oxide, prostaglandin E, and tumor necrosis factor-α levels.
CONCLUSION: NanoSECA can be used as a memory enhancer through enhanced cholinergic activity, increased antioxidant level, and reduced oxidative stress.
METHODS: PubMed, IEEE Xplore, Google Scholar, and Scopus were searched for relevant studies. All studies that used ML/DL to detect or early-predict the onset of sepsis in the adult population using EHRs were considered. Data were extracted and analyzed from all studies that met the criteria and were also evaluated for their quality.
RESULTS: This systematic review examined 1942 articles, selecting 42 studies while adhering to strict criteria. The chosen studies were predominantly retrospective (n = 38) and spanned diverse geographic settings, with a focus on the United States. Different datasets, sepsis definitions, and prevalence rates were employed, necessitating data augmentation. Heterogeneous parameter utilization, diverse model distribution, and varying quality assessments were observed. Longitudinal data enabled early sepsis prediction, and quality criteria fulfillment varied, with inconsistent funding-article quality correlation.
CONCLUSIONS: This systematic review underscores the significance of ML/DL methods for sepsis detection and early prediction through EHR data.