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OBJECTIVE: Despite the historical neurological use of Withania somnifera, limited evidence supports its efficacy for conditions like anxiety and insomnia. Given its known anti-stress properties, this review evaluated its safety and efficacy for anxiety and insomnia. METHODS: We searched Medline, Cochrane Library, and Google Scholar until August 2023 for randomized controlled trials (RCTs) comparing W. somnifera to placebo in patients with anxiety and/or insomnia. Outcome measures included changes in anxiety levels via the Hamilton Anxiety Scale (HAM-A), Sleep Onset Latency (SOL), Total Sleep Time (TST), Wake After Sleep Onset (WASO), Total Time in Bed (TIB), Sleep Efficiency (SE), and Pittsburgh Sleep Quality Index (PSQI) score. We utilized a random-effect model for pooling Mean Differences (MD) with a 95% Confidence Interval (CI). Heterogeneity was assessed through sensitivity and subgroup analysis, and the quality of RCTs was evaluated using the Cochrane revised risk of bias tool. RESULTS: Pooled results from five RCTs (n = 254) demonstrated that W. somnifera significantly reduced HAM-A scores (MD = -5.96; [95% CI -10.34, -1.59]; P = 0.008; I2 = 98%), as well as sleep parameters such as SOL, TST, PSQI, and SE, but not WASO and TIB. CONCLUSION: While W. somnifera extracts yielded promising results, further research with larger sample sizes is needed to confirm its effects on anxiety and insomnia.
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Sleep duration is a substantial risk factor for several cardiovascular diseases, including atrial fibrillation (AF). Despite much research, the precise nature of the relationship between the amount of sleep and AF remains unclear. This narrative review explores the relationship between AF and sleep duration, looking at genetic, mechanistic, and epidemiological data to explain this association. A U-shaped association (nonlinear relationship or curvilinear association) between sleep duration and AF has been seen, where longer and shorter sleep duration, more or less than seven to eight hours, have been associated with increased AF risk. Multiple mechanisms such as autonomic dysfunction, inflammation, and structural atrial remodeling have been proposed linking sleep disturbances to AF. Moreover, confounding factors such as individual lifestyle, comorbidities, and sleep quality could affect this association. Additionally, the interpretation of study results is further impacted by methodological limitations, including self-reported sleep duration and observational study designs. It is imperative to comprehend the complex relationship between sleep duration and AF to develop effective preventive and therapeutic methods. The main goals of future research should focus on prospective cohort studies with objective sleep metrics, exploring the mechanistic pathways, and comprehensive confounder adjustments that link sleep disturbances to AF. In summary, addressing sleep disturbances may represent one of the novel approaches to AF prevention and management, with potential implications for improving cardiovascular health and reducing AF-related morbidity and mortality.
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Introduction Intraoperative sentinel lymph node (SLN) evaluation is the standard of care in patients with clinically node-negative breast cancer. The most common histological subtype of breast carcinoma is invasive ductal carcinoma (IDC), followed by invasive lobular carcinoma (ILC). Alternatively, histological grades vary from grades G1 to G3. Therefore, in this study, we evaluated the diagnostic accuracy of frozen section (FS) for detecting breast cancer metastasis to SLNs with respect to histological subtypes and grades. Methods A retrospective observational study was conducted in the Department of Histopathology at Liaquat National Hospital and Medical College, Pakistan, from January 2013 till December 2020, over a duration of eight years. A total of 540 cases of primary breast cancer, undergoing upfront breast surgery were included in the study. Intraoperatively, SLNs were identified and sent for FS. After FS reporting, the remaining tissue was submitted for final (paraffin) section examination after formalin fixation, and results of FS and final (paraffin) sections were compared. Results The mean age of the patients included in the study was 52.05±12.42 years, and the median number of SLNs was three (ranging from one to 14). The overall sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of intraoperative FS were 88.2%, 100%, 100%, 92.5%, and 95.2%, respectively. The sensitivity of FS for IDC was 88.3%, whereas it was 85.7% for ILC. Alternatively, the sensitivity of FS for grade G1, G2, and G3 tumors was 78.3%, 91.5%, and 90.2%, respectively. The false-negative rate for grade G1 tumors was 21.7%, which was higher than G2 and G3 tumors (8.5% and 9.8%, respectively). Similarly, the false-negative rate for cases where the number of SLNs was more than three was only 5.4%, which was lower than cases with a single and two to three SLNs sent on FS (23.1 and 14.7%, respectively). Conclusion The sensitivity of intraoperative FS for detecting ILC metastasis to axillary SLNs was not substantially different from IDC; however, histological grade affects the sensitivity of FS diagnosis, with lower-grade tumors having low sensitivity. Moreover, increasing the number of SLNs sent intraoperatively on FS improves the sensitivity of FS for detecting breast cancer metastasis to axillary SLNs.