Yoxas/statistical_literacy huggingface dataset:
Cancer surveillance data are essential to help understand where gaps exist and progress is being made in cancer control. We sought to summarize the expected impact of cancer in Canada in 2024, with projections of new cancer cases and deaths from cancer by sex and province or territory for all ages combined. We obtained data on new cancer cases (i.e., incidence, 1984-2019) and deaths from cancer (i.e., mortality, 1984-2020) from the Canadian Cancer Registry and Canadian Vital Statistics Death Database, respectively. We projected cancer incidence and mortality counts and rates to 2024 for 23 types of cancer, overall, by sex, and by province or territory. We calculated age-standardized rates using data from the 2011 Canadian standard population. In 2024, the number of new cancer cases and deaths from cancer are expected to reach 247 100 and 88 100, respectively. The age-standardized incidence rate (ASIR) and mortality rate (ASMR) are projected to decrease slightly from previous years for both males and females, with higher rates among males (ASIR 562.2 per 100 000 and ASMR 209.6 per 100 000 among males; ASIR 495.9 per 100 000 and ASMR 152.8 per 100 000 among females). The ASIRs and ASMRs of several common cancers are projected to continue to decrease (i.e., lung, colorectal, and prostate cancer), while those of several others are projected to increase (i.e., liver and intrahepatic bile duct cancer, kidney cancer, melanoma, and non-Hodgkin lymphoma). Although the overall incidence of cancer and associated mortality are declining, new cases and deaths in Canada are expected to increase in 2024, largely because of the growing and aging population. Efforts in prevention, screening, and treatment have reduced the impact of some cancers, but these short-term projections highlight the potential effect of cancer on people and health care systems in Canada.
Cancer survival data from Population Based Cancer Registries (PBCR) reflect the average outcome of patients in the population, which is critical for cancer control efforts. Despite decreasing incidence rates, cervical cancer is the second most common female cancer in India, accounting for 10% of all female cancers. The objective of the study is to estimate the five-year survival of patients with cervical cancer diagnosed between 2012 and 2015 from the PBCRs in India. A single primary incidence of cervical cancer cases of 11 PBCRs (2012-2015) was followed till June 30, 2021 (n = 5591). Active follow-ups were conducted through hospital visits, telephone calls, home or field visits, and public databases. Five-year Observed Survival (OS) and Age Standardised Relative Survival (ASRS) was calculated. OS was measured by age and clinical extent of disease for cervical cancers. The five-year ASRS (95% CI) of cervical cancer was 51.7% (50.2%-53.3%). Ahmedabad urban (61.5%; 57.4%-65.4%) had a higher survival followed by Thiruvananthapuram (58.8%; 53.1%-64.3%) and Kollam (56.1%; 50.7%-61.3%). Tripura had the lowest overall survival rate (31.6%; 27.2%-36.1%). The five-year OS% for pooled PBCRs was 65.9%, 53.5%, and 18.0% for localised, regional, and distant metastasis, respectively. We observed a wide variation in cervical cancer survival within India. The findings of this study would help the policymakers to identify and address inequities in the health system. We re-emphasise the importance of awareness, early detection, and increase the improvement of the health care system. The National Cancer Registry Programme is funded through intra-mural funding by Indian Council of Medical Research, Department of Health Research, India, Ministry of Health & Family Welfare.
Cancer threat is relevant to age, and the threat of a foreshortened life coupled with a lengthy treatment process negatively affects middle-aged and older adults. Understanding the coping throughout the cancer experience in middle-aged and older cancer survivors will help develop supportive care to promote their physiological and psychological coping effects. To explore the cancer coping experiences of middle-aged adults aged 40-59 and older adults over 60. A descriptive phenomenological study was employed. Face-to-face, in-depth, semistructured interviews were conducted with 22 oncology patients in a tertiary university hospital aged 40 or above from August to October 2023. The interview data were analyzed using thematic analysis procedures. Five themes and 13 subthemes were formed through analysis: acceptance of cancer (considering cancer as chronic, believing in fate and attributing cancer to karma); having different information needs (desired to be truthfully informed, information-seeking behaviour, information avoidance behaviour); getting families involved (developing dependent behaviours, feeling emotional support, family members suffering worse); striving to maintain positive psychological state (positive thinking, seeking peer support) and negative experience (undesirable, low self-esteem). Our study reveals that cancer survivors' attitudes towards having cancer have changed from a death sentence to a more positive perception of a chronic disease. Supportive programmes for developing coping strategies should consider the cultural traditions and religious beliefs, different information needs, involvement of family and promoting a positive psychological state while avoiding negative factors. Participants with experience of coping with cancer were involved in the semistructured interview.
Cancer was ranked as the second leading cause of global mortality in 2019, with an increasing incidence. An adequate workforce of healthcare professionals with special skills and knowledge in cancer care is vital for addressing the disparities in cancer prognosis. This study aimed to elucidate the trends in the advanced practice nursing workforce (APNW) in cancer care, which included certified nurse specialists (CNSs) and certified nurses (CNs) in each prefecture of Japan from the system's inception to the present. Further, it sought to analyze the regional disparities and compare these trends with other healthcare resources to identify contributing factors associated with the APNW in cancer care in each prefecture. We performed a panel data analysis using publicly available data on the APNW in cancer care in each prefecture of Japan from 1996 to 2022. Gini coefficients were calculated to examine the trends in geographic equality. Univariate and multivariable fixed effect panel data regression models were used to examine regional factors associated with an APNW in cancer care. From 1996 to 2012, the APNW in cancer care increased from four to 6982 staff, while their Gini coefficients decreased from 0.79 to 0.43. However, from 2012 to 2022, the Gini coefficients decreased slightly from 0.43 to 0.41. The coefficient value was comparable to that for the disparity between hospital doctors (0.43) but more pronounced compared to those for other medical resources, such as hospitals (0.34), hospital nurses (0.37), and designated cancer care hospitals (0.29). The APNW in cancer care in each prefecture was significantly associated with a higher number of designed cancer care hospitals in the previous year (see first quartile, the coefficient for second quartile: 0.31, 95% confidence interval (CI) 0.21-0.40), and a fewer number of hospital doctors (- 1.89, 95%CI - 2.70 to - 1.09). The size of the APNW in cancer care has increased since the system was established in 1996 up till 2022. With the increase in numbers, geographic inequality narrowed until 2012 and has since then remained stagnant.
Cancer-related chronic pain is an important sequelae that damages the quality of life of breast cancer survivors. Pain neuroscience education and graded exposure to movement are therapeutic tools that have been shown to be effective in the management of chronic pain in other populations. However, there are no previous studies that combine them after breast cancer. To evaluate the effectiveness of an online physiotherapy focused-person program which combines pain neuroscience education and graded exposure to movement for quality of life improvement in breast cancer survivors. This protocol is a randomized controlled trial with a sample size of 40 breast cancer survivors with pain in the last 6 months. Participants will be allocated to the experimental or control group using a fixed size block randomization method. The evaluator and statistician will be blinded to participant allocation. Participants in the experimental group will receive a 12-week intervention based on pain neuroscience education and therapeutic yoga as a graded exposure to movement exercise; participants in the control group will continue with their usual cancer-related symptoms care. Both groups will receive an education booklet. The main outcome will be quality of life, measured by the Functional Assessment of Cancer Therapy - Breast (FACT-B+4); secondary, four outcomes related to pain experience (catastrophising, self-efficacy, kinesiophobia and fear-avoidance behaviors) will be also assessed. All variables will be assessed by two blinded evaluators at four timepoints. A mixed-model analyses of variance ANOVA (2 × 4) will be used to study the effects of the treatment on the dependent variables. All statistical tests will be performed considering a confidence interval of 95%. SPSS program will be used for the data analysis. This research is expected to contribute to breast cancer rehabilitation field. The proposed intervention is also expected to improve self-care skills related to chronic pain and to empower women regarding the management of their symptoms and quality of life.Clinical trial registration: https://clinicaltrials.gov/, NCT04965909.
Cancer-related fatigue and its associated symptoms of sleep disorder and depression are prevalent in cancer survivors especially among breast, lung, and colorectal cancer survivors. While there is no gold standard for treating cancer-related fatigue currently, studies of mind-body exercises such as Qigong have reported promise in reducing symptoms. This study was designed to evaluate the feasibility and effect of Guolin Qigong on cancer-related fatigue and other symptoms in breast, lung and colorectal cancer survivors while exploring their perceptions and experiences of Guolin Qigong intervention. This is an open-label randomized controlled trial with 60 participants divided into 2 study groups in a 1:1 ratio. The intervention group will receive 12 weeks of Guolin Qigong intervention with a 4-week follow-up while control will receive usual care under waitlist. The primary outcome will be feasibility measured based on recruitment and retention rates, class attendance, home practice adherence, nature, and quantum of missing data as well as safety. The secondary subjective outcomes of fatigue, sleep quality and depression will be measured at Week-1 (baseline), Week-6 (mid-intervention), Week-12 (post-intervention), and Week-16 (4 weeks post-intervention) while an objective 24-hour urine cortisol will be measured at Week-1 (baseline) and Week-12 (post-intervention). We will conduct a semi-structured interview individually with participants within 3 months after Week-16 (4 weeks post-intervention) to obtain a more comprehensive view of practice adherence. This is the first mixed-method study to investigate the feasibility and effect of Guolin Qigong on breast, lung, and colorectal cancer survivors to provide a comprehensive understanding of Guolin Qigong's intervention impact and participants' perspectives. The interdisciplinary collaboration between Western Medicine and Chinese Medicine expertise of this study ensures robust study design, enhanced participant care, rigorous data analysis, and meaningful interpretation of results. This innovative research contributes to the field of oncology and may guide future evidence-based mind-body interventions to improve cancer survivorship. This study has been registered with ANZCTR (ACTRN12622000688785p), was approved by Medical Research Ethic Committee of University Malaya Medical Centre (MREC ID NO: 2022323-11092) and recognized by Western Sydney University Human Research Ethics Committee (RH15124).
Cancer's increasing prevalence across the globe emphasizes the urgency for continued research, prevention, and accessible healthcare to mitigate its impact on individuals and communities. While there have been significant advances made towards controlling cancer morbidity and mortality in recent decades, Pakistan continues to experience a markedly elevated burden of the disease. With this study, we aim to raise awareness about biobank research within the cancer patient community, fostering participation and collaboration to advance the fight against cancer through vital research contributions. In October 2022, we initiated the biobank clinic at Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC). Here, patients underwent screening and received invitations to voluntarily participate in biobank research. During these interactions, we engaged patients in discussions about the significance of biobank research, addressed their concerns, and encouraged their participation in advancing our research endeavors. Two-sample independent t-tests were performed to compare the mean number of participants in pre-clinic and post-clinic cohorts. This research involved a total of 958 participants, with 312 participants enrolled before the clinic and 646 participants enrolled after the clinic. We have observed a noticeable increase in the participation of cancer patients in our research endeavors since the inception of the biobank clinic (p-value<0.001). Over an 11-month time frame, we scheduled appointments for 759 patients, and out of those, 656 patients availed themselves to visit the clinic. Impressively, we achieved the enrollment of 646 patients into the clinic, reflecting an exceptional consent rate of 98.47% for their active involvement in our research initiatives. This underscores our commitment to conducting comprehensive discussions and providing thorough explanations regarding the ethical and procedural aspects of our research. Biobank clinic plays a pivotal role in raising cancer awareness and fostering research participation, especially in regions with limited healthcare infrastructure and lower literacy rates. It emerges as a community-engagement model that aligns research with local needs, ensuring its relevance and benefit to the population.
Cannabis and the endocannabinoid system (ESC) are rarely included in training programs for healthcare providers. Knowledge within the medical and dental health professionals is lacking regarding the treatment of patients using medical or recreational cannabis. Patients are unaware of the risks associated with cannabis use, and healthcare providers should be prepared to assess, educate, and treat the patients who use cannabis. With the increased legalization and use of cannabis for medical and recreational purposes across the US, this study demonstrated the lack of cannabis education provided in dental hygiene programs. In 2021, an online survey was conducted with 327 dental hygiene program directors. Respondents were asked to answer 26 questions. With a 21% response rate and 100% completion rate, 60% of the participants responded that cannabis content was provided in their dental hygiene program, 38% responded with a "no," and one responded with "I do not know." No significant difference was found regardless of whether cannabis was legal in the state for medical or recreational use and whether the cannabis content was included in the dental hygiene curriculum. The results indicate that every dental hygiene program should provide cannabis content, and each patient should receive a cannabis assessment at every dental hygiene appointment. Further research is required to identify standardized educational content on cannabis and the ESC, which will enable educators to teach students. The development and implementation of a standardized cannabis use assessment and the creation of standardized recommendations for patients who use cannabis to alleviate adverse oral health effects are important.
Canonical splice site variants (CSSVs) are often presumed to cause loss-of-function (LoF) and are assigned very strong evidence of pathogenicity (according to American College of Medical Genetics/Association for Molecular Pathology criterion PVS1). The exact nature and predictability of splicing effects of unselected rare CSSVs in blood-expressed genes are poorly understood. We identified 168 rare CSSVs in blood-expressed genes in 112 individuals using genome sequencing, and studied their impact on splicing using RNA sequencing (RNA-seq). There was no evidence of a frameshift, nor of reduced expression consistent with nonsense-mediated decay, for 25.6% of CSSVs: 17.9% had wildtype splicing only and normal junction depths, 3.6% resulted in cryptic splice site usage and in-frame insertions or deletions, 3.6% resulted in full exon skipping (in frame), and 0.6% resulted in full intron inclusion (in frame). Blind to these RNA-seq data, we attempted to predict the precise impact of CSSVs by applying in silico tools and the ClinGen Sequence Variant Interpretation Working Group 2018 guidelines for applying PVS1 criterion. The predicted impact on splicing using (1) SpliceAI, (2) MaxEntScan, and (3) AutoPVS1, an automatic classification tool for PVS1 interpretation of null variants that utilizes Ensembl Variant Effect Predictor and MaxEntScan, was concordant with RNA-seq analyses for 65%, 63%, and 61% of CSSVs, respectively. In summary, approximately one in four rare CSSVs did not show evidence for LoF based on analysis of RNA-seq data. Predictions from in silico methods were often discordant with findings from RNA-seq. More caution may be warranted in applying PVS1-level evidence to CSSVs in the absence of functional data.
Capacity building and monitoring of response capacity are critical to disaster preparedness. Assessing disaster response capacity is a challenging task in India due to diverse geo-climatic conditions and exposure to different disasters. This paper addresses the absence of a methodological framework to measure multiple aspects of the disaster response capacity of districts in India through indicators. 26 indicators were identified under four factors namely; resources, communication and coordination, budget, and community engagement; anchored on a theoretical framework evolved through literature survey and key informant interviews. Each factor was modelled as a linear function of indicators based on data-sets maintained by district authorities. A Composite Index was constructed as a weighted aggregation of four factors using weightings elicited through Questionnaire Surveys among 151 expert respondents. Weightings were derived through an extension of Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) to balance the variability in perceptions of respondents. As disasters demand quick response, assessment of response capacity with a fewer number of indicators is desirable. Therefore, a reduced set of critical indicators sensitive to the Indian context were derived through model reduction applying probabilistic and statistical methods- l2 norm-based sensitivity analysis and coefficient of variation method. Critical indicators are: number of rescue and health service personnel, NGOs, Self-Help-Groups; efficacy of existing SOPs; literacy; and budget options. Robustness of the Composite Index was checked in terms of sensitivity to weightings and model reduction. The critical indicators and the Composite Index would sensitize decision-makers on disaster response capacities across districts.
Carbapenem-resistant Gram-negative bacteria (CR-GNB) are a critical public health threat globally; however, there are inadequate surveillance data, especially in intensive care units (ICU), to inform infection prevention and control in many resource-constrained settings. Here, we assessed the prevalence of CR-GNB infections and risk factors for acquisition in a Kenyan ICU. A hospital-based cross-sectional study design was adopted, recruiting 162 patients clinically presenting with bacterial infection after 48 h of ICU admission, from January to October 2022 at the Nairobi West Hospital, Kenya. Demographics and clinical data were collected by case report form. The type of sample collected, including blood, tracheal aspirate, ascitic tap, urine, stool, and sputum depended on the patient's clinical presentation and were transported to the hospital Microbiology laboratory in a cool box for processing within 2 h. The samples were analyzed by cultured and BD Phoenix system used for isolates' identity and antimicrobial susceptibility. CR-GNB infections prevalence was 25.9% (42/162), with Klebsiella pneumoniae (35.7%, 15/42) and Pseudomonas aeruginosa (26.2%, 11/42) predominating. All isolates were multidrug-resistant (MDR). P. aeruginosa and A. baumannii were 100% colistin-resistant, while K. pneumoniae (33.3%) was tigecycline-resistant. History of antibiotics (aOR = 3.40, p = 0.005) and nasogastric tube (NGT) use (aOR = 5.84, p = < 0.001) were the risk factors for infection. Our study highlights high MDR- and CR-GNB infections in ICU, with prior antibiotic exposure and NGT use as risk factors, and diminishing clinical value of colistin and tigecycline. In this study setting and beyond, strict implementation of antimicrobial stewardship programs and adherence to infection prevention and control through monitoring, evaluation and feedback are warranted to curb CR-GNB infections, especially among the risk groups.
Carbon peaking and carbon neutrality, which are the significant national strategy for sustainable development, have attracted considerable attention from production enterprises. In this study, the energy consumption is considered in the distributed blocking flow shop scheduling problem (DBFSP). A hyperheuristic with Q -learning (HHQL) is presented to address the energy-efficient DBFSP (EEDBFSP). Q -learning is employed to select an appropriate low-level heuristic (LLH) from a predesigned LLH set according to historical information fed back by LLH. An initialization method, which considers both total tardiness (TTD) and total energy consumption (TEC), is proposed to construct the initial population. The ε -greedy strategy is introduced to utilize the learned knowledge while retaining a certain degree of exploration in the process of selecting LLH. The acceleration operation of the job on the critical path is designed to optimize TTD. The deceleration operation of the job on the noncritical path is designed to optimize TEC. The statistical and computational experimentation in an extensive benchmark testified that the HHQL outperforms the other comparison algorithm regarding efficiency and significance in solving EEDBFSP.