Background: Fatigue is a typical consequence of cancer that can affect one’s quality of life (QOL). The goal of this review is to provide comprehensive data on the impact of fatigue on QOL of cancer patients. Methods: An electronic data search in Web of Science, SCOPUS, and PubMed for relevant papers; those written in English; those reporting quantitative data; and those including more than one hundred patients who received just chemotherapy were included. Studies involving participants that received other kinds of anti-neoplastic therapies were excluded. Results: A total of 35 papers published between January 2000 and December 2021 were retrieved from the search databases of which (11612 patients) met the inclusion criteria. Findings showed that fatigue negatively affected QOL with a pooled prevalence of 49% (95% CI; 25.00-74.00) and the significant heterogeneity between articles was (I²=98%, P <0.001). Further, breast cancer contributed to the majority of selected articles with about 55 % (95%CI; 9:00- 94:00), followed by cancer (unspecified) 44% (95%CI; 5:00 – 92:00). Most studies (71%) (95%CI; 4:00 – 99:00) used the brief fatigue inventory (BFI) tool to assess severity of fatigue and 39% (95%CI; 17:00 -68:00) employed the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire to evaluate QOL among cancer survivors. Conclusion: The prevalence of fatigue in cancer patients is high and fatigue has a negative impact on QOL of cancer patients receiving chemotherapy. Directionality, fatigue needs to be addressed and treated properly for better improvement of health status and QOL in cancer patients.

Fatigue is the most frequently reported symptom experienced by cancer patients and has a profound effect on their quality of life (QOL). The study aimed to determine the impact of fatigue on QOL among breast cancer patients receiving chemotherapy and to identify the risk factors associated with severe fatigue incidence. This was an observational prospective study carried out at multiple centers. In total, 172 breast cancer patients were included. The Functional Assessment of Chronic Illness Therapy-Fatigue Questionnaire was used to measure QOL, while the Brief Fatigue Inventory (BFI) was used to assess the severity of fatigue. The total average mean and standard deviation of QOL were 84.58±18.07 and 4.65±1.14 for BFI scores, respectively. A significant association between fatigue and QOL was found in linear and multiple regression analyses. The relationships between fatigue severity and cancer stage, chemotherapy dose delay, dose reduction, chemotherapy regimen, and ethnicity were determined using binary logistic regression analysis. The findings of this study are believed to be useful for helping oncologists effectively evaluate, monitor, and treat fatigue related to QOL changes.

Purpose. The purpose of this study was to ascertain the prevalence and factors associated with anemia (hemoglobin [Hb] 12g/dL) in breast cancer patients undergoing chemotherapy. Materials and Methods. We conducted a prospective longitudinal study to collect demographic and clinical data on adult breast cancer patients with or without anemia who were admitted to HKL, UMMC, and NCI. The incidence of anemia was determined by detecting whether or not anemia developed during the course of chemotherapy. Mild, moderate, or severe anemia was defined. A chi-squared and logistic regression model were used to assess the effect of demographic and clinical factors on the incidence of anemia and multiple logistic regression analysis was used to evaluate the associations of potential risk factors with the presence of CRA. Results. The study enrolled a total of 292 breast cancer patients. Anemia occurred at a rate of 41.1 (n=120). Our findings indicated that clinical factors such as the number of chemotherapy regimens, dose reduction, and type of chemotherapy, for example, docetaxel, as well as demographic covariates such as age and BMI, all contribute to the incidence of anemia in cancer patients. Conclusions. According to this study, the prevalence of anemia in breast cancer patients is high. Patients' age, BMI, number of chemotherapy regimens, and docetaxel were risk factors; thus, protocols are needed to identify subgroups of breast cancer likely to benefit from novel management strategies.

Contemporary patient care requires a multidisciplinary approach to monitoring, assessing, and managing diseases. Promoting multidisciplinary approaches encourages the purposeful participation of many healthcare professionals and harnessing their combined knowledge to provide tailored treatment plans. Pharmacists, skilled and knowledgeable professionals in medication management, drug-related problems, and disease prevention, can offer vital interventions that contribute to improved patient outcomes. Advances in healthcare and information technology have expanded pharmacists' professional roles and made them essential in healthcare. Pharmacist-managed clinics (PMCs), an innovative healthcare approach, could potentially improve patient safety, satisfaction, accessibility, and affordability to quality healthcare. Spread across the healthcare continuum, pharmacists have a well-defined role in providing comprehensive pharmaceutical care and interprofessional collaboration, further reinforcing the necessity of establishing PMCs. This narrative review aims to compile and summarize information on PMCs from PubMed, Scopus, Web of Science, and Google Scholar till December 2023. The PMC shortlist covers specialties such as cardiovascular, hematologic, endocrine, pain medicine, respiratory medicine, infectious diseases, gastrointestinal, nephrology, neurology, and oncology. Pharmacists in disease-specific PMCs have demonstrated improved treatment outcomes and access to specialty care. Additionally, based on peer-reviewed literature, the review also highlights how PMCs enhance the pharmacist's role in improving disease-specific outcomes, overall quality of care, and medication management. The inclusion criteria are randomized controlled trials, case-control studies, cohort studies, and pre-post studies involving patients from cardiology, hematology, endocrinology, pain medicine, respiratory medicine, infectious diseases, neurology, nephrology, gastroenterology, and oncology specialties, focusing on pharmacist-driven clinics, published in English, and covering any geographical location. The exclusion criteria include review articles, proposed models, commentaries, editorials, and those published in languages other than English. Our findings reveal that PMCs are underutilized globally. PMCs work better in developed countries, possibly on account of robust healthcare infrastructure, adequate healthcare budgets, availability of trained pharmacists, and supportive regulatory environments. The review found that pharmacist-led interventions, such as medication monitoring and patient education, significantly enhance therapeutic outcomes. Pharmacist Managed Clinics improve affordability and acceptability, expanding healthcare access in outpatient and inpatient settings. This review also highlights the critical need for implementing PMCs to improve healthcare delivery, particularly in providing comprehensive and accessible services in developing countries.

Background: The link between the risk of type 2 diabetes mellitus (T2DM) and vitamin D deficiency has perplexed the medical society due to the controversy in the data available. Saudi Arabia (SA) is a sunny region; however, ample amount of data reported the increased prevalence of vitamin D deficiency along with T2DM. Thus, this study aimed to compare vitamin D deficiency between healthy and T2DM patients in SA, alongside with the risk factors associated with that. Methods: A cross-sectional study was conducted in the Medical Unit, Taibah University in Al-Madinah Al-Munawarah, SA, from November 2017 to May 2018. The involved participants were non-diabetics and T2DM men. Measuring vitamin D for T2DM and non-diabetics group was done by trained technicians. Data analysis was done via SPSS. Results: Sixty-four participants (T2DM group = 32; non-diabetics group = 32) were recruited, and the mean age of T2DM patients was 48.6 ± 10.4, while that of the non-diabetics was 42.4 ± 6.5. The mean of vitamin D level was found higher in the non-diabetic participants than in diabetic patients. There was statistically significant association between vitamin D deficiency and T2DM (P = 0.001). Besides, duration of diabetes was the only factor, found to be positively correlated with vitamin D deficiency in T2DM patients. Conclusion: Early screening for vitamin D serum-level is recommended for T2DM patients in Saudi Arabia. Therefore, early correction of vitamin D levels should be considered, and medical and scientific societies, along with other sectors such as the media, should highlight and increase the awareness of the importance of vitamin D and the seriousness of its deficiency.

Background: Successful diabetes treatment requires commitment and understanding of disease management by the patients. Objective: This trial aimed to evaluate the programme effectiveness of home medication review by community pharmacists (HMR-CP) in optimising diabetes care and reducing medication wastage. Methods: A randomised controlled trial was conducted on 166 patients with Type 2 Diabetes Mellitus (T2DM) who were randomly assigned to the intervention or control groups. The intervention group received HMR-CP at 0-month, 3-month, and 6-month. The primary outcome was haemoglobin A1c (HbA1c) while clinical outcomes, anthropometric data, and humanistic outcomes were the secondary outcomes. For the intervention group, drug-related problems (DRP) were classified according to the Pharmaceutical Care Network Europe Foundation (PCNE). Medication adherence was determined based on the Pill Counting Adherence Ratio (PCAR). The cost of medication wastage was calculated based on the total missed dose by the T2DM patients multiplied by the cost of medication. General linear model and generalised estimating equations were used to compare data across the different time-points within and between the groups, respectively. Results: No significant difference was observed in the demographic and anthropometric data at baseline between the two groups except for fasting blood glucose (FBG). There was a significant reduction in the HbA1c (-0.91%) and FBG (-1.62mmol/L) over the study period (p<0.05). A similar observation was noted in diastolic blood pressure (DBP) and total cholesterol (TC) but not in high-density lipoprotein (HDL), and anthropometric parameters. Both utility value and Michigan Diabetes Knowledge Test (MDKT) scores increased significantly over time. As for the intervention group, significant changes in PCAR (p<0.001) and the number of DRP (p<0.001) were noted. Conclusions: HMR-CP significantly improved the glycaemic control, QoL, medication adherence, and knowledge of T2DM patients as well as reduced the number of DRP and cost of medication wastage. However, the impact of HMR-CP on certain clinical and anthropometric parameters remains inconclusive and further investigation is warranted.