Metastatic Castration-Resistant Prostate Cancer: Advances in Treatment and Symptom Management.

OPINION STATEMENT: The management of metastatic castrate-resistant prostate cancer (mCRPC) has evolved in the past decade due to substantial advances in understanding the genomic landscape and biology underpinning this form of prostate cancer. The implementation of various therapeutic agents has improved overall survival but despite the promising advances in therapeutic options, mCRPC remains incurable. The focus of treatment should be not only to improve survival but also to preserve the patient's quality of life (QoL) and ameliorate cancer-related symptoms such as pain. The choice and sequence of therapy for mCRPC patients are complex and influenced by various factors, such as side effects, disease burden, treatment history, comorbidities, patient preference and, more recently, the presence of actionable genomic alterations or biomarkers. Docetaxel is the first-line treatment for chemo-naïve patients with good performance status and those who have yet to progress on docetaxel in the castration-sensitive setting. Novel androgen agents (NHAs), such as abiraterone and enzalutamide, are effective treatment options that are utilized as second-line options. These medications can be considered upfront in frail patients or patients who are NHA naïve. Current guidelines recommend genetic testing in mCRPC for mutations in DNA repair deficiency genes to inform treatment decisions, as for example in breast cancer gene mutation testing. Other potential biomarkers being investigated include phosphatase and tensin homologues and homologous recombination repair genes. Despite a growing number of studies incorporating biomarkers in their trial designs, to date, only olaparib in the PROFOUND study and lutetium-177 in the VISION trial have improved survival. This is an unmet need, and future trials should focus on biomarker-guided treatment strategies. The advent of novel noncytotoxic agents has enhanced targeted drug delivery and improved treatment responses with favourable toxicity profiling. Trials should continue to incorporate and report health-related QoL scores and functional assessments into their trial designs.

Virtual Reality for advanced cancer patients assisted at home: A randomized controlled interventional study.

OBJECTIVE: Virtual Reality (VR) has been demonstrated to be an effective option for integrating psychological interventions in different therapeutic settings. This randomized controlled interventional study aims to assess the effects of VR, compared to tablet controlled intervention, on anxiety, depression, pain, and short-term psychophysical symptoms in advanced cancer patients assisted at home. METHODS: Participants were provided with a VR headset or a tablet (TAB) for 4 days. On the first and last day, anxiety and depression were measured by Hospital Anxiety and Depression Scale and pain by Brief Pain Inventory. Before and after each VR and tablet session, symptoms were collected by the Edmonton Symptom Assessment Scale (ESAS). RESULTS: Fifty-three patients (27 VR vs. 26 TAB) completed the study. Anxiety significantly decreased in the VR group after the 4-day intervention. The analysis of ESAS showed a significant improvement in pain (p = 0.013), tiredness (p < 0.001), and anxiety (p = 0.013) for TAB group, and a significant reduction in tiredness (p < 0.001) in the VR group. CONCLUSIONS: Technological and user-friendly tools, such as VR and tablets, might be integrated with traditional psychological interventions to improve anxiety and cancer-related short-term symptoms. Further studies are needed to better consolidate the possible beneficial effects of VR.

Symptom-BERT: Enhancing Cancer Symptom Detection in EHR Clinical Notes.

CONTEXT: Extracting cancer symptom documentation allows clinicians to develop highly individualized symptom prediction algorithms to deliver symptom management care. Leveraging advanced language models to detect symptom data in clinical narratives can significantly enhance this process. OBJECTIVE: This study uses a pretrained large language model to detect and extract cancer symptoms in clinical notes. METHODS: We developed a pretrained language model to identify cancer symptoms in clinical notes based on a clinical corpus from the Enterprise Data Warehouse for Research at a healthcare system in the Midwestern United States. This study was conducted in 4 phases:1 pretraining a Bio-Clinical BERT model on one million unlabeled clinical documents,2 fine-tuning Symptom-BERT for detecting 13 cancer symptom groups within 1112 annotated clinical notes,3 generating 180 synthetic clinical notes using ChatGPT-4 for external validation, and4 comparing the internal and external performance of Symptom-BERT against a non-pretrained version and six other BERT implementations. RESULTS: The Symptom-BERT model effectively detected cancer symptoms in clinical notes. It achieved results with a micro-averaged F1-score of 0.933, an AUC of 0.929 internally, and 0.831 and 0.834 externally. Our analysis shows that physical symptoms, like Pruritus, are typically identified with higher performance than psychological symptoms, such as anxiety. CONCLUSION: This study underscores the transformative potential of specialized pretraining on domain-specific data in boosting the performance of language models for medical applications. The Symptom-BERT model's exceptional efficacy in detecting cancer symptoms heralds a groundbreaking stride in patient-centered AI technologies, offering a promising path to elevate symptom management and cultivate superior patient self-care outcomes.

Early-Onset Colorectal Cancer-A Retrospective Study from a Tertiary Referral Hospital in Romania.

Early-onset colorectal cancer emerges as a distinctive clinical and biological entity and is generally defined as the onset of colon or rectal neoplasia before the age of 50. Several reports describe an increasing incidence worldwide of colorectal cancers occurring in individuals younger than 50 years, along with particular histologic and molecular features. Although heredity may be an explanation in some cases with young-onset colorectal cancer, other driving factors remain partially unknown. The present study explores demographic, clinical, and pathological features within a group of patients diagnosed with colorectal cancer before the age of 50. It is a retrospective survey based on data collected between 2017 and 2023 within three surgical departments from a tertiary Romanian hospital. The clinical and pathological features we identified (later-stage disease, distal colon tumor localization, mucinous histology) are mainly superimposed with the existing data in the literature regarding this pathology. In order to lower the burden that colorectal neoplasia diagnosed in the young implies, a change of paradigm should be made in terms of establishing effective and targeted screening programs but also in the direction of enhancing complex clinical, pathological, and molecular diagnosis.

Symptom Burden and Time from Symptom Onset to Cancer Diagnosis in Patients with Early-Onset Colorectal Cancer: A Multicenter Retrospective Analysis.

Background: The incidence of colorectal cancer (CRC) is decreasing in individuals >50 years due to organised screening but has increased for younger individuals. We characterized symptoms and their timing before diagnosis in young individuals. Methods: We identified all patients diagnosed with CRC between 1990-2017 in British Columbia, Canada. Individuals <50 years (n = 2544, EoCRC) and a matched cohort >50 (n = 2570, LoCRC) underwent chart review to identify CRC related symptoms at diagnosis and determine time from symptom onset to diagnosis. Results: Across all stages of CRC, EoCRC presented with significantly more symptoms than LoCRC (Stage 1 mean ± SD: 1.3 ± 0.9 vs. 0.7 ± 0.9, p = 0.0008; Stage 4: 3.3 ± 1.5 vs. 2.3 ± 1.7, p < 0.0001). Greater symptom burden at diagnosis was associated with worse survival in both EoCRC (p < 0.0001) and LoCRC (p < 0.0001). When controlling for cancer stage, both age (HR 0.87, 95% CI 0.8-1.0, p = 0.008) and increasing symptom number were independently associated with worse survival in multivariate models. Conclusions: Patients with EoCRC present with a greater number of symptoms of longer duration than LoCRC; however, time from patient reported symptom onset was not associated with worse outcomes.

Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review.

BACKGROUND: People with cancer frequently experience severe and distressing symptoms associated with cancer and its treatments. Predicting symptoms in patients with cancer continues to be a significant challenge for both clinicians and researchers. The rapid evolution of machine learning (ML) highlights the need for a current systematic review to improve cancer symptom prediction. OBJECTIVE: This systematic review aims to synthesize the literature that has used ML algorithms to predict the development of cancer symptoms and to identify the predictors of these symptoms. This is essential for integrating new developments and identifying gaps in existing literature. METHODS: We conducted this systematic review in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. We conducted a systematic search of CINAHL, Embase, and PubMed for English records published from 1984 to August 11, 2023, using the following search terms: cancer, neoplasm, specific symptoms, neural networks, machine learning, specific algorithm names, and deep learning. All records that met the eligibility criteria were individually reviewed by 2 coauthors, and key findings were extracted and synthesized. We focused on studies using ML algorithms to predict cancer symptoms, excluding nonhuman research, technical reports, reviews, book chapters, conference proceedings, and inaccessible full texts. RESULTS: A total of 42 studies were included, the majority of which were published after 2017. Most studies were conducted in North America (18/42, 43%) and Asia (16/42, 38%). The sample sizes in most studies (27/42, 64%) typically ranged from 100 to 1000 participants. The most prevalent category of algorithms was supervised ML, accounting for 39 (93%) of the 42 studies. Each of the methods-deep learning, ensemble classifiers, and unsupervised ML-constituted 3 (3%) of the 42 studies. The ML algorithms with the best performance were logistic regression (9/42, 17%), random forest (7/42, 13%), artificial neural networks (5/42, 9%), and decision trees (5/42, 9%). The most commonly included primary cancer sites were the head and neck (9/42, 22%) and breast (8/42, 19%), with 17 (41%) of the 42 studies not specifying the site. The most frequently studied symptoms were xerostomia (9/42, 14%), depression (8/42, 13%), pain (8/42, 13%), and fatigue (6/42, 10%). The significant predictors were age, gender, treatment type, treatment number, cancer site, cancer stage, chemotherapy, radiotherapy, chronic diseases, comorbidities, physical factors, and psychological factors. CONCLUSIONS: This review outlines the algorithms used for predicting symptoms in individuals with cancer. Given the diversity of symptoms people with cancer experience, analytic approaches that can handle complex and nonlinear relationships are critical. This knowledge can pave the way for crafting algorithms tailored to a specific symptom. In addition, to improve prediction precision, future research should compare cutting-edge ML strategies such as deep learning and ensemble methods with traditional statistical models.

Ovarian cancer red flags: help prevent delayed diagnosis.

Ovarian cancer is classified as a gynaecological cancer, but the symptoms present as abdominal and they can be mistaken for those of a bowel condition or bladder problems. Target Ovarian Cancer is urging clinicians to recognise the red flags for ovarian cancer, and to never diagnose new-onset irritable bowel syndrome (IBS) or overactive bladder in women over 50 without ruling out ovarian cancer. The symptoms of these are also red flags for ovarian cancer and warrant further investigations. This article covers how to spot these red flags, safety netting and what to do if you suspect a woman's symptoms may be ovarian cancer.

Patients from general practice with non-specific cancer symptoms: a retrospective study of symptoms and imaging.

BACKGROUND: Patients with non-specific symptoms or signs of cancer (NSSC) present a challenge as they are a heterogeneous population who are not candidates for fast-track work-up in an organ-specific cancer pre-planned pathway (CPP). Denmark has a cancer pre-planned pathway for this population (NSSC-CPP), but several issues remain unclarified, for example, distribution and significance of symptoms and findings, and choice of imaging. AIM: To investigate symptoms, cancer diagnoses, and diagnostic yield of computed tomography (CT) and fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) in patients on NSSC-CPP to improve the overall diagnostic process. DESIGN & SETTING: A retrospective medical chart review in a 1-year consecutive cohort (2020). METHOD: A total of 802 referrals were reviewed for diagnostic imaging in patients with NSSP from general practices, specialist practices, or the local hospital diagnostic centre responsible for NSSC-CPP. RESULTS: The study included 248 patients; 21% had cancer, most frequently gastrointestinal cancer (27%). The most frequent symptom was weight loss (56%). CT had a sensitivity of 85%, specificity of 87%, positive predictive value (PPV) of 65%, and negative predictive value (NPV) of 96%. For 18F-FDG-PET/CT, the numbers were sensitivity 82%, specificity 62%, PPV 33%, and NPV 94%. Patients frequently underwent subsequent examinations following initial imaging. CONCLUSION: The findings were in accordance with the literature. Patients with NSSC had a cancer prevalence of 21%, most frequently gastrointestinal. The most frequent symptom was weight loss and, even as the only symptom, it is a potential marker for cancer. CT and 18F-FDG-PET/CT were sensitive with high NPV, whereas PPV was superior in CT. Better stratification by symptoms or findings is an obvious focus point for future studies to further optimise the NSSC-CPP work-up strategy.

Cannabinoids for symptom management in children with cancer: A systematic review and meta-analysis.

BACKGROUND: Despite the widespread use of medical cannabis, little is known regarding the safety, efficacy, and dosing of cannabis products in children with cancer. The objective of this study was to systematically appraise the existing published literature for the use of cannabis products in children with cancer. METHODS: This systematic review, registered with the International Prospective Register of Systematic Reviews (CRD42020187433), searched four databases: MEDLINE, Embase, PsycINFO, and the Cochrane Library. Abstracts and full texts were screened in duplicate. Data on types of cannabis products, doses, formulations, frequencies, routes of administration, indications, and clinical and demographic details as well as reported efficacy outcomes were extracted. Data on cannabinoid-related adverse events were also summarized. RESULTS: Out of 34,611 identified citations, 19 unique studies with a total of 1927 participants with cancer were included: eight retrospective chart reviews, seven randomized controlled trials, two open-label studies, and two case reports. The included studies reported the use of various cannabis products for the management of symptoms. Cannabinoids were commonly used for the management of chemotherapy-induced nausea and vomiting (11 of 19 [58%]). In controlled studies, somnolence, dizziness, dry mouth, and withdrawal due to adverse events were more commonly associated with the use of cannabinoids. Across all included studies, no serious cannabis-related adverse events were reported. CONCLUSIONS: Although there is evidence to support the use of cannabis for symptom management, in children with cancer, there is a lack of rigorous evidence to inform the dosing, safety, and efficacy of cannabinoids. Because of the increasing interest in using cannabis, there is an urgent need for more research on medical cannabis in children with cancer.

Defining research priorities and needs in cancer symptoms for adults diagnosed with cancer: an Australian/New Zealand modified Delphi study.

PURPOSE: This study asked consumers (patients, carers) and healthcare professionals (HCPs) to identify the most important symptoms for adults with cancer and potential treatment interventions. METHODS: A modified Delphi study was conducted involving two rounds of electronic surveys based on prevalent cancer symptoms identified from the literature. Round 1 gathered information on participant demographics, opinions and/or experience on cancer symptom frequency and impact, and suggestions for interventions and/or service delivery models for further research to improve management of cancer symptoms. In Round 2, respondents ranked the importance of the top ten interventions identified in Round 1. In Round 3, separate expert panels of consumers and healthcare professionals (HCPs) attempted to reach consensus on the symptoms and interventions previously identified. RESULTS: Consensus was reached for six symptoms across both groups: fatigue, constipation, diarrhoea, incontinence, and difficulty with urination. Notably, fatigue was the only symptom to reach consensus across both groups in Round 1. Similarly, consensus was reached for six interventions across both groups. These were the following: medicinal cannabis, physical activity, psychological therapies, non-opioid interventions for pain, opioids for breathlessness and cough, and other pharmacological interventions. CONCLUSIONS: Consumers and HCPs prioritise differently; however, the symptoms and interventions that reached consensus provide a basis for future research. Fatigue should be considered a high priority given its prevalence and its influence on other symptoms. The lack of consumer consensus indicates the uniqueness of their experience and the need for a patient-centred approach. Understanding individual consumer experience is important when planning research into better symptom management.

Nurse-led emergency department avoidance model of care for patients receiving cancer therapy in the ambulatory setting: a health service improvement initiative.

AIMS: The Symptom and Urgent Review Clinic was a service improvement initiative, which consisted of the implementation and evaluation of a nurse-led emergency department (ED) avoidance model of care. The clinic was developed for patients experiencing symptoms associated with systemic anti-cancer therapy in ambulatory cancer settings. METHODS: The clinic was implemented in four health services in Melbourne, Australia across a six-month period in 2018. Evaluation was by prospective data collection of the frequency and characteristics of patients who used the service, pre- and post-survey of patient reported experience, and a post-implementation survey of clinician engagement and experience. RESULTS: There were 3095 patient encounters in the six-month implementation period; 136 patients were directly admitted to inpatient healthcare services after clinic utilization. Of patients who contacted SURC (n = 2174), a quarter (n = 553) stated they would have otherwise presented to the emergency department and 51% (n = 1108) reported they would have otherwise called the Day Oncology Unit. After implementation, more patients reported having a dedicated point of contact (OR 14.3; 95% CI 5.8-37.7) and ease of contacting the nurse (OR 5.5; 95% CI 2.6-12.1). Clinician reported experience and engagement with the clinic was highly favorable. CONCLUSION: The nurse-led emergency department avoidance model of care addressed a gap in service delivery, while optimizing service utilization by reducing ED presentations. Patients reported improved levels of satisfaction with ease of access to a dedicated nurse and advice provided.

Are There Ethnic Differences in Recorded Features among Patients Subsequently Diagnosed with Cancer? An English Longitudinal Data-Linked Study.

We investigated ethnic differences in the presenting features recorded in primary care before cancer diagnosis. METHODS: English population-based cancer-registry-linked primary care data were analysed. We identified the coded features of six cancers (breast, lung, prostate, colorectal, oesophagogastric, and myeloma) in the year pre-diagnosis. Logistic regression models investigated ethnic differences in first-incident cancer features, adjusted for age, sex, smoking status, deprivation, and comorbidity. RESULTS: Of 130,944 patients, 92% were White. In total, 188,487 incident features were recorded in the year pre-diagnosis, with 48% (89,531) as sole features. Compared with White patients, Asian and Black patients with breast, colorectal, and prostate cancer were more likely than White patients to have multiple features; the opposite was seen for the Black and Other ethnic groups with lung or prostate cancer. The proportion with relevant recorded features was broadly similar by ethnicity, with notable cancer-specific exceptions. Asian and Black patients were more likely to have low-risk features (e.g., cough, upper abdominal pain) recorded. Non-White patients were less likely to have alarm features. CONCLUSION: The degree to which these differences reflect disease, patient or healthcare factors is unclear. Further research examining the predictive value of cancer features in ethnic minority groups and their association with cancer outcomes is needed.

Impact of COVID-19 on Public Interest in Breast Cancer Screening and Related Symptoms: Google Trends Analysis.

BACKGROUND: The COVID-19 pandemic has led to a decrease in cancer screening due to the redeployment of health care resources and public avoidance of health care facilities. Breast cancer is the most common cancer diagnosed in female individuals, with improved survival rates from early detection. An avoidance of screening, resulting in late detection, greatly affects survival and increases health care resource burden and costs. OBJECTIVE: This study aimed to evaluate if a sustained decrease in public interest in screening occurred and to evaluate other search terms, and hence interest, associated with that. METHODS: This study used Google Trends to analyze public interest in breast cancer screening and symptoms. We queried search data for 4 keyword terms ("mammogram," "breast pain," "breast lump," and "nipple discharge") from January 1, 2019, to January 1, 2022. The relative search frequency metric was used to assess interest in these terms, and related queries were retrieved for each keyword to evaluate trends in search patterns. RESULTS: Despite an initial drastic drop in interest in mammography from March to April 2020, this quickly recovered by July 2020. After this period, alongside the recovery of interest in screening, there was a rapid increase in interest for arranging for mammography. Relative search frequencies of perceived breast cancer-related symptoms such as breast lump, nipple discharge, and breast pain remained stable. There was increase public interest in natural and alternative therapy of breast lumps despite the recovery of interest in mammography and breast biopsy. There was a significant correlation between search activity and Breast Cancer Awareness Month in October. CONCLUSIONS: Online search interest in breast cancer screening experienced a sharp decline at the beginning of the COVID-19 pandemic, with a subsequent return to baseline interest in arranging for mammography followed this short period of decreased interest.

Factors affecting patient decisions to undergo testing for cancer symptoms: an exploratory qualitative study in Australian general practice.

BACKGROUND: Patients presenting to their GP are often concerned their symptoms may be due to cancer. However, there is a lack of evidence on the factors that influence patient decisions to undergo investigation for suspected cancer in the general practice setting. AIM: To identify the factors influencing patient decisions to undertake investigations for suspected cancer in general practice. DESIGN & SETTING: An exploratory qualitative, semi-structured interview study of patients attending rural and metropolitan general practices in Victoria, Australia. METHOD: A purposive sample of 15 general practice patients aged ≥40 years participated. Thematic analysis of transcripts drew on interpretative description methodology and shared decision-making (SDM) theory. RESULTS: Cancer-related concerns such as 'cancer worry' prompt patients to seek investigations from their GP. Participants prefer that their symptoms are investigated regardless of cancer risk. The perceived 'best test' provides the most reassurance. Trust and SDM enhance dialogue between patients and GPs about diagnostic testing strategies. Deterrents to testing included out-of-pocket costs, waiting time, travel time, and competing work and family demands. CONCLUSION: There may be a mismatch between efforts to rationalise investigation use and patient preferences for investigation. SDM that incorporates patient concerns, facilitators, and barriers to testing may ensure appropriate and timely investigation of cancer symptoms.

Locally advanced breast cancer (LABC) and delayed care: a qualitative analysis of psychosocial factors.

The literature has extensively documented how delayed access to health care services in the context of cancer can result from subjective characteristics, dysfunctional coping styles, barriers to care, or procrastination. However, limited research has investigated the psychosocial experience of women diagnosed with Locally Advanced Breast Cancer (LABC). This qualitative study aimed at understanding cognitive, emotional and relational factors associated with delayed access to care and treatment decision-making. In-depth interviews with 14 Italian women were conducted. A thematic analysis of elementary contexts using T-LAB was used to identify the association between emerging clusters and participants' coping styles as measured by the Mini-MAC. Five clusters were identified: 'relationships', 'ineluctability', 'disease', 'surgery', and 'diagnosis'. The 'relationships' cluster was characterized by elevated rates of Fighting Spirit (p < 0.01) while Anxious Preoccupation was associated with 'surgery' (p < 0.01). Findings contribute to explain individual and relational variables related to delay seeking care of LABC patients by illustrating the interplay of personal motivations and social networks' characteristics. Evidence from this work expands current understanding of the interplay of factors contributing to delays in seeking medical attention and may be utilized to inform strategies to timely identify women at greater risk.

Risk factors for reduced function in women with a history of breast cancer.

PURPOSE: People with a history of breast cancer are at risk of losing function during and after treatment. Unfortunately, little is known about the individual and additive effects of specific treatment, disease-related, and demographic factors that may contribute to functional decline. This manuscript reports the results of a multi-center study to evaluate the effects of these factors on function. METHODS: In this cross-sectional study, women with a history of breast cancer referred to physical medicine and rehabilitation cancer rehabilitation clinics were administered the PROMIS® Cancer Function Brief 3D Profile to evaluate function in the domains of physical function, fatigue, and social participation. Clinical and demographic information, including treatment history and disease status, was recorded by clinicians. Patients were analyzed in two groups: those with active disease on antineoplastic treatment, and those with no evidence of disease (NED). A multivariable model was constructed to detect associations between clinical and demographic factors. RESULTS: In patients with NED, the presence of chemotherapy-induced peripheral neuropathy (CIPN) was strongly associated with reduced function in all three domains. In those with active disease, having brain metastases was significantly associated with reduced function in all domains and CIPN with reduced physical function. Radiation was associated with improved function in both cohorts. CONCLUSIONS: Among women seeking rehabilitative care, CIPN and the presence of brain metastases were most strongly associated with a decline in function. The effects of radiation on function were unexpected and may be partially explained by the treatment's role in symptom management. Clinicians who treat breast cancer should consider a patient's functional status when providing supportive care.

Associations between smoking status and involvement of personal and professional relations among individuals reporting symptoms related to a diagnosis of lung cancer: a population-based study.

BACKGROUND: Smoking is the leading cause of lung cancer, but individuals who currently smoke seek healthcare less frequently. This study of individuals reporting symptoms related to diagnosis of lung cancer has the following aims: 1) to explore the involvement of personal and professional relations; 2) to analyse whether age, sex and smoking status are associated with involving personal and professional relations; and 3) to analyse whether involving a personal relation is associated with healthcare-seeking. METHODS: Data was extracted from a Danish population-based survey from 2012 with 100,000 randomly selected invitees 20 years or older. We describe the involvement of personal and professional relations among individuals experiencing four predefined symptoms indicative of lung cancer: prolonged coughing, prolonged hoarseness, shortness of breath and haemoptysis, either alone or in combination. Using multivariate logistic regression, we analyse the associations between involving personal or professional relations and various covariates (sex, age, smoking status). Moreover, we analyse the association between involving a personal relation and healthcare-seeking. RESULTS: A total of 35,958 individuals over 40 years old completed the questionnaire. Of these, 5,869 individuals reported at least one lung cancer symptom. A higher percentage of participants with prolonged hoarseness and prolonged coughing reported no involvement of personal and professional relations (27.6% and 22.7%, respectively) compared to shortness of breath (12.4%). The most involved personal and professional relations were the spouse (46.2-62.5%) and the general practitioner (GP) (31.3-54.5%), respectively. Women and individuals in the oldest age group had higher odds of involving personal and professional relations. Individuals who currently smoke involved all relations less frequently than individuals who formerly,- and never smoked. Odds of contacting the GP or another doctor were three to seven-fold higher when a personal relation was also involved. CONCLUSION: Women and the oldest age group had higher odds of involving relations, whereas individuals who currently smoked tended to be less likely to contact any personal or professional relations. Involving a personal relation was associated with higher odds of healthcare-seeking. The findings could be useful for GPs in terms of identifying patients at risk of postponing relevant healthcare-seeking with potential lung cancer symptoms.

Exploring knowledge of parents and caregivers on cancer symptoms in children: an observational study regarding the need for educational tools and health promotion in low- and middle-income countries.

BACKGROUND: Although most cases of childhood cancer are unlikely to be prevented, by today's standards, most children with cancer can now be cured. However, disparities about survival exist among countries; in Mexico, the overall survival is 49.6%, with 70% of childhood cancers diagnosed at advanced stages. Therefore, parents and caregivers must have optimal knowledge of the early signs and symptoms of childhood malignancies as they are largely non-specific. This study was designed to explore the current knowledge of childhood cancer among parents and caregivers in Mexico and identify the need for education and health promotion in low- and middle-income countries. METHODS: An online survey of 112 parents and caregivers was performed to assess their knowledge of childhood cancer, focusing on the signs and symptoms and early diagnostic strategies. RESULTS: Sixty-nine (61.6%) mothers, 23 (20.5%) fathers, 17 (15.2%) familiar caregivers, and 3 (2.7%) non-familiar caregivers responded. Forty-six (41.1%) respondents said that they knew a child diagnosed with cancer, 92.9% mentioned leukemia as the most common type of cancer among children, the most highly ranked option when asked which sign/symptom they considered as a warning for suspicion was growth/lump in any part of the body, 97.3% considered that an early diagnosis is related to a higher cure rate, and 92.9% expressed the desire to receive reliable information about childhood cancer. CONCLUSIONS: Although parents and caregivers have some knowledge of childhood cancer, there are concepts that should be reinforced to improve their understanding of this group of diseases, as they are the frontline for children to seek medical attention. In the future, the use of tools that help educate more caregivers will strengthen knowledge and contribution regarding this issue and promote the generation of public policies that support the early diagnosis of childhood cancer.

Acupuncture in hematologic malignancies and hematopoietic cell transplantation.

Acupuncture is an integrative medicine modality that has been used historically and studied recently for managing various symptoms and diseases. Patients with hematological malignancies often experience a high symptom burden including pain, fatigue, nausea, vomiting, and insomnia. Pharmacological interventions are the mainstay of managing these symptoms, although they may not provide adequate control or are not well tolerated due to side effects. There have been many randomized controlled trials of acupuncture on reduction of these symptoms. In this review, we will summarize the current evidence on the effect of acupuncture on the management of common symptoms experienced by patients with hematological malignancies and the current understanding of acupuncture's mechanism of action. The evidence is the strongest for reducing pain and nausea vomiting, less strong for symptoms such as peripheral neuropathy, fatigue, constipation, insomnia, night sweat, and pruritus.

Health-Related and Behavioral Factors Associated With Lung Cancer Stage at Diagnosis: Observations From Alberta's Tomorrow Project.

BACKGROUND: Lung cancer is the leading cause of cancer death in Canada, with stage at diagnosis among the top predictors of lung cancer survival. Identifying factors associated with stage at diagnosis can help reduce lung cancer morbidity and mortality. This study used data from a prospective cohort study of adults living in Alberta, Canada to examine factors associated with lung cancer stage at diagnosis. METHODS: This cohort study used data from adults aged 35-69 years enrolled in Alberta's Tomorrow Project. Partial Proportional Odds models were used to examine associations between sociodemographic characteristics and health-related factors and subsequent lung cancer stage at diagnosis. RESULTS: A total of 221 participants (88 males and 133 females) developed lung cancer over the study period. Nearly half (48.0%) of lung cancers were diagnosed at a late stage (stage IV), whereas 30.8 % and 21.3% were diagnosed at stage I/II and III, respectively. History of sunburn in the past year was protective against late-stage lung cancer diagnosis (odds ratio (OR) .40, P=.005). In males, a higher number of lifetime prostate specific antigen tests was associated with reduced odds of late-stage lung cancer diagnosis (odds ratio .66, P=.02). Total recreational physical activity was associated with increased odds of late-stage lung cancer diagnosis (OR 1.08, P=.01). DISCUSSION: Lung cancer stage at diagnosis remains a crucial determinant of prognosis. This study identified important factors associated with lung cancer stage at diagnosis. Study findings can inform targeted cancer prevention initiatives towards improving early detection of lung cancer and lung cancer survival.