Care for breast cancer survivors in Asian countries: A review of sexual dysfunction.

Breast cancer accounts for one in three new cancer cases in women each year. Despite having a higher survival rate than other cancers, it is associated with various side effects, including anorgasmia, vaginismus, hair loss, and decreased libido. This review aims to explore trends in the incidence of sexual dysfunction in breast cancer survivors, the etiology of sexual dysfunction, and the role of factors such as family history, age, duration of marriage, and depression in predisposing patients. We summarize the limitations of the treatment modalities already used to cater to sexual dysfunction in breast cancer survivors and patients. The authors conducted searches on databases such as PubMed and Google Scholar using relevant search terms: sexual dysfunction, breast cancer, breast cancer survivors, chemotherapy, dyspareunia, vaginismus, and anorgasmia from 1997-2023. The inclusion criteria encompassed all types of articles with abstracts or titles indicating research on sexual dysfunction in breast cancer survivors in Asia. A total of 64 articles were included out of which 10 were systematic reviews and meta-analyses. The literature search yielded results showing high incidence rates of breast cancer in Asia (45.4%), with 31.6%-91.2% of breast cancer survivors likely to experience sexual dysfunction. Regional differences were noted, as female sexual dysfunction occurred in 74.1% of Asian breast cancer women. Further randomized controlled trials should be conducted to assess the effectiveness of treatment modalities. Personalized approaches should be tailored to address beliefs, such as the potential impact of sexual activity on disease recovery. Utilizing a family history of breast cancer as a preemptive tool can help reduce the risk of developing female sexual dysfunction in survivors, and factors such as age and depression should be considered when formulating solutions.

Can ChatGPT-3.5 Pass a Medical Exam? A Systematic Review of ChatGPT's Performance in Academic Testing.

OBJECTIVE: We, therefore, aim to conduct a systematic review to assess the academic potential of ChatGPT-3.5, along with its strengths and limitations when giving medical exams. METHOD: Following PRISMA guidelines, a systemic search of the literature was performed using electronic databases PUBMED/MEDLINE, Google Scholar, and Cochrane. Articles from their inception till April 4, 2023, were queried. A formal narrative analysis was conducted by systematically arranging similarities and differences between individual findings together. RESULTS: After rigorous screening, 12 articles underwent this review. All the selected papers assessed the academic performance of ChatGPT-3.5. One study compared the performance of ChatGPT-3.5 with the performance of ChatGPT-4 when giving a medical exam. Overall, ChatGPT performed well in 4 tests, averaged in 4 tests, and performed badly in 4 tests. ChatGPT's performance was directly proportional to the level of the questions' difficulty but was unremarkable on whether the questions were binary, descriptive, or MCQ-based. ChatGPT's explanation, reasoning, memory, and accuracy were remarkably good, whereas it failed to understand image-based questions, and lacked insight and critical thinking. CONCLUSION: ChatGPT-3.5 performed satisfactorily in the exams it took as an examinee. However, there is a need for future related studies to fully explore the potential of ChatGPT in medical education.

Risk factors for 30-day readmission following shoulder arthroscopy: a systematic review.

BACKGROUND: Recently, there has been a rapid shift from open shoulder surgery to arthroscopic shoulder procedures for treating several shoulder pathologies. This shift is mainly due to reduced postoperative complications and 30-day readmission. Although the 30-day readmission rate is low, the risk still exists. One way to minimize the risk factors is to analyze all the risk factors contributing to the 30-day readmission following shoulder arthroscopy. METHODS: Electronic databases such as PubMed, Google Scholar, and Cochrane library were searched. Studies were selected based on predefined inclusion and exclusion criteria. Newcastle-Ottawa score was used for the quality assessment of individual studies. Two reviewers extracted data from the selected studies. Results were evaluated through narrative analysis and presented as an odds ratio with 95% confidence interval. A meta-analysis was not possible due to the heterogeneity in the available data. RESULTS: A total of 12 studies evaluating 494,038 patients were selected in our review. All the studies have a low risk of bias (median = 8). Significant factors predicting readmission included age, gender, COPD (chronic obstructive pulmonary disorder), steroid use, smoking, preoperative opioid use, higher American Society of Anesthesiologists (ASA) score (3 or higher), and general and regional anesthesia vs. regional anesthesia alone. CONCLUSION: Through our systematic review, we tried to identify risk factors that can predict 30-day readmission following shoulder arthroscopy. These include age > 65 years, COPD, steroid use, opioid use, and OR time > 90 mins. These high-risk patients could be triaged earlier by identifying these parameters, and effective pre and post-operative surveillance could minimize 30-day readmission risk following shoulder arthroscopy.

Latent Tuberculosis Infection (LTBI) as a predictor of coronary artery disease: A systematic review and meta-analysis.

Background: A converging epidemic of Latent tuberculosis infection (LTBI) is observed over past two decades. LTBI is a state of persistent immune stimulation by Mycobacterium tuberculosis but with no active clinical manifestation. Also, there has been as increasing trend for incidence of cardiovascular problems in patients suffering from latent TB infection. Reportedly, the risk of coronary artery disease spikes up to 1.52 times in patient with latent TB infection. Considering the fact that cardiovascular diseases account to be leading cause of death globally, we found a dire need to investigate the role of Latent TB infection in producing coronary artery disease and unveil this unconventional relationship. Purpose: We aim to conduct a meta-analysis to evaluate Latent TB infection as a predictor for coronary artery disease (CAD). Methods: A systemic search was conducted on electronic databases (PubMed/Medline, Cochrane Library, and Google Scholar) from inception to 24th June 2022. Studies meeting predefined inclusion criteria underwent statistical analysis on Review Manager 5.4.1. We calculated odds ratio (OR) with 95% confidence intervals (CI) and graphically represented it through fixed-effect forest plot. Heterogeneity of I2>75% and p-value of p < 0.05 was considered to be significant. Results: Pooled analysis of four selected studies showed that patient with Latent TB infection significantly developed Coronary Artery Disease (OR = 2.15 [1.48, 3.12]; p < 0.0001; I 2  = 0%). Conclusions: Latent TB infection can be a potential useful predictor for Coronary Artery Disease. However, there is need for further investigation on a greater number of studies before this can truly become clear.