Journal of Cancer Policy最新文献

Introduction

The COVID-19 pandemic disrupted normal pathways to cancer diagnosis, particularly for screening and non-acute symptomatic patients. While reductions in overall cancer diagnoses have been reported elsewhere, any differential effects on emergency presentations, which are associated with poorer outcomes, have not been described.

Material and methods

Cross-sectional descriptive study from 2015 to 2021, based on International Cancer Benchmarking Partnership methods, where emergency route to diagnosis is defined as presenting as an emergency admission in the 30 days prior to cancer incidence date. Acute hospital records and cancer registrations were individually linked. Includes all individuals with a new diagnosis of specific cancers on the national cancer registry.

Results

All cancers included showed reductions in non-emergency diagnoses in 2020, with varying recovery in 2021. The largest reductions in non-emergency diagnoses of about a third were for colorectal and cervical cancers in 2020. Non-emergency diagnoses of prostate cancer remained lower but upper GI higher in 2021. Emergency routes to diagnosis were significantly higher in 2020 for breast, cervical, colorectal and upper GI cancers and were higher in 2021 for breast and cervical cancers. The absolute magnitude of reductions in non-emergency diagnoses was greater than any increases in emergency diagnoses.

Conclusions

In 2020, there were large reductions in numbers of cancers diagnosed through non-emergency pathways in Scotland, while those diagnosed via emergency routes fell only for prostate cancer. Some effects persisted or emerged through 2021. It is likely that opportunities to diagnose cancers in a favourable, elective manner have been lost. Further work is needed to describe outcomes among these patients.

Artificial Intelligence (AI) has made significant strides due to advancements in processing algorithms and data availability. Recent years have shown a resurgence in AI, driven by breakthroughs in deep machine learning. AI has attracted particular interest in the medical sector, especially in the field of personalized medicine, which for example uses large-scale genomic and molecular data to predict individual patient treatment responses. The applications of AI in disease diagnosis, monitoring, and treatment are expanding rapidly, leading to a growing number of registered trials. Therefore, this study aimed to identify and evaluate clinical trials registered between January 1st 2016, and September 30th 2023 that connect AI and cancer. Our findings show that the number of clinical trials linking AI with cancer research has grown significantly compared to other diseases, with colorectal and breast tumour types showing the highest number of registered trials. The most frequent intervention was disease diagnosis and monitoring. Regarding countries, China and the United States hold the highest numbers of registered trials. In conclusion, oncology is a field with a great interest in AI, where the developed countries are leading the studies in this field. Unfortunately, developing countries are still crawling in this aspect and government policies should be made to improve that area.

Background

Method

Results

Conclusion

Policy summary

Background

Whole genome sequencing (WGS) has transformative potential for blood cancer management, but reimbursement is hindered by uncertain benefits relative to added costs. This study employed scenario planning and multi-criteria decision analysis (MCDA) to evaluate stakeholders’ preferences for alternative reimbursement pathways, informing future health technology assessment (HTA) submission of WGS in blood cancer.

Methods

Key factors influencing WGS reimbursement in blood cancers were identified through a literature search. Hypothetical scenarios describing various evidential characteristics of WGS for HTA were developed using the morphological approach. An online survey, incorporating MCDA weights, was designed to gather stakeholder preferences (consumers/patients, clinicians/health professionals, industry representatives, health economists, and HTA committee members) for these scenarios. The survey assessed participants' approval of WGS reimbursement for each scenario, and scenario preferences were determined using the geometric mean method, applying an algorithm to improve reliability and precision by addressing inconsistent responses.

Results

Nineteen participants provided complete survey responses, primarily clinicians or health professionals (n = 6; 32 %), consumers/patients and industry representatives (both at n = 5; 26 %). “Clinical impact of WGS results on patient care" was the most critical criterion (criteria weight of 0.25), followed by "diagnostic accuracy of WGS" (0.21), "cost-effectiveness of WGS" (0.19), "availability of reimbursed treatment after WGS" (0.16), and "eligibility criteria for reimbursed treatment based on actionable WGS results" and "cost comparison of WGS" (both at 0.09). Participants preferred a scenario with substantial clinical evidence, high access to reimbursed targeted treatment, cost-effectiveness below $50,000 per quality-adjusted life year (QALY) gained, and affordability relative to standard molecular tests. Reimbursement was initially opposed until criteria such as equal cost to standard tests and better treatment accessibility were met.

Conclusion

Payers commonly emphasize acceptable cost-effectiveness, but strong clinical evidence for many variants and comparable costs to standard tests are likely to drive positive reimbursement decisions for WGS.

Purpose

Cancer is the second-leading cause of death worldwide, and its burden is increasing around the world, particularly in low- and middle-income countries (LMICs). Yet, cancer research has historically been conducted primarily in high-income countries (HICs).

Methods

In this review, we describe the results of our literature search into the current state of international cancer trials, including the benefits, challenges, limitations, and ethical concerns regarding the international conduct of HIC-led trials. We also propose some possible means of addressing these challenges and overcoming these barriers to extend the benefits of cancer research to people around the world.

Results

Over the last several decades, there has been a shift toward inclusion of investigators and participants from LMICs in pivotal cancer clinical trials.

Conclusions

While inclusion of LMIC countries has benefits, including increased diversity of participant populations, investment in research infrastructure in LMICs, and potential expansion of cancer treatment options around the world, the continued leadership of most trials by HICs presents ethical concerns, including potential exploitation of researchers and participants from LMICs, lack of focus on cancer types prevalent in all participating regions, and disparities in access to approved therapies once the trial is complete.

Background

Smoking and alcohol are the main risk factors for head and neck cancer. Despite the significant psychological impact, many patients continue to smoke and drink alcohol after diagnosis of cancer. This study aims to analyze the patients’ behavior post diagnosis and treatment of head and neck cancer.

Methods

An observational retrospective study was conducted on patients suffering from head and neck cancer. Their smoking and alcohol habits before and after diagnosis of cancer were studied.

Results

A total of 85 patients were recruited: 80 % males, mean age 61.77±9.30 years. Among smokers, 35.80 % continued smoking post-diagnosis. A statistically significant correlation was found between smoking habit after diagnosis of cancer and type of treatment and tracheostomy. Among drinkers, 65.52 % continued to consume alcohol after diagnosis of cancer. A statistically significant correlation was found between alcohol consumption post-diagnosis and sex.

Conclusions

Patients undergoing more invasive treatments are more likely to quit smoking and/or drinking alcohol, suggesting the strong psychological impact of cancer and its therapy. Many patients continue smoking and consuming alcohol due to unawareness, depression, or addiction. However, most patients reduced cigarette smoking and alcohol consumption. Comprehensive care, including psychological support, is essential for these patients.

Background

Cancer presents a growing global burden, not least in African countries such as Ghana where high cancer treatment dropouts has been identified due to numerous social, cultural and financial reasons. There is little understanding regarding patterns of treatment access behaviour, especially in Northern Ghana, which this study was designed to explore.

Methods

Through cross-sector collaboration, we extracted and clinically validated cancer patient records available in the Tamale Teaching Hospital. These were analysed descriptively and through multi-variate logistic regression. A treatment mapping process was also applied to highlight challenges in data collection. Multiple imputation with chained equations was conducted for high levels of missing data. Sensitivity analysis was applied to assess the impact of missing data.

Results

Treatment drop-out was high even when uncertainty due to missing data was accounted for, and only 27 % of patients completely engaged with treatment. High drop-out was found for all cancers including those covered by the Ghana National Health Insurance scheme. Multi-variate logistic regression revealed that social, health condition and systemic factors influence treatment engagement until completion. High missing data was observed for liver, ovarian, colorectal, gastric, bladder, oesophageal and head and neck and skin cancers, and soft tissue sarcomas, which limited model fitting.

Conclusion

Treatment drop-out is a critical issue in Northern Ghana. There was high missing data due to the dynamic, complex and decentralised treatment pathway. Future studies are needed to understand the complex challenges in data recording.

Policy summary

Treatment drop out is a pertinent issue that policy makers should look to address. Further discussion with stakeholders involved in cancer treatment and data collection is required to better understand challenges to routine data collection in the local setting. This will allow policy to be designed to cater for the impact of multiple intersecting health and social factors on treatment completion.

Introduction

Studies have shown that certain groups of patients are underrepresented in clinical trials including non-Caucasian ethnicity, poor fluency in English, low socioeconomic status, older age, neurodivergence, and large Body Mass Index (BMI). There is a need to ensure adequate representation of these groups so that the results of any trial accurately reflect the population.

The aim of this study was to review the pathway of patients recruited into two early phase breast cancer clinical and determine the inclusivity of patients from the aforementioned sub-groups.

Methods

The Breast Cancer Research Database was reviewed, and the characteristics of all patients who were screened for eligibility in two early phase clinical trials was examined. The English Indices of Deprivation was used to populate the Index of Multiple Deprivation (IMD) for each patient using their postcode.

Results

In total, 392 patients were eligible to participate, between September 2020 to May 2023. Of these, 144 (36.7 %) were recruited to these two trials. In all, 100 % of patients eligible for these trials were approached and screened for participation. Eligible patients had a mean age of 53.5 years. Recruited patients were younger on average than those not recruited (49.1 years vs 56.0 years, p<0.0001). Only one recruited patient required an interpreter, compared with 24 (9.7 %%) of those who were not recruited (p<0.001).

There was no difference in the IMD (p=0.38), BMI (p=0.34) and neurodiversity (p=0.10) between patients recruited into clinical trials and those who were not.

Conclusion

Older age and poor fluency in the English language remain barriers to participation in early-phase clinical trials despite implementing a clear pathway to trial recruitment. There is a pressing need to address these barriers by raising awareness, improve appropriate training and providing comprehensive trial information to patients in the language of their choice.

Background

Mutations in KRAS and NRAS are associated with a lack of response to cetuximab and panitumumab, two biologics used for third-line therapy of metastatic colorectal cancer (mCRC). In British Columbia, Canada, eligibility for cetuximab or panitumumab was first based on single-gene KRAS testing. OncoPanel, a multi-gene next-generation sequencing panel with both KRAS and NRAS, was introduced in 2016. Our objective was to estimate the real-world cost-effectiveness of OncoPanel versus to single-gene KRAS testing to inform eligibility for cetuximab or panitumumab in mCRC.

Methods

Using population-based administrative health data, we identified a cohort of mCRC patients who had received a KRAS or OncoPanel test, and completed prior chemotherapy in 2010–2019. We matched KRAS- and OncoPanel-tested patients (1:1) using genetic matching to balance baseline covariates. Mean and incremental 3-year costs, survival, and quality-adjusted survival were estimated using inverse-probability-of-censoring weighting and bootstrapping. We conducted scenario-based sensitivity analysis for key costs and assumptions.

Findings

All OncoPanel-tested cases (n=371) were matched to a KRAS-tested comparator. In the KRAS and OncoPanel groups, respectively, 55·8 % and 41·2 % of patients were potentially eligible for cetuximab or panitumumab based on mutation status. Incremental cost and effectiveness of OncoPanel were $72 (95 % CI: −6387, 6107), −0·004 life-years (95 % CI: −0·119, 0·113), and −0·011 quality-adjusted life-years (95 % CI: −0·094, 0·075). Reductions in systemic therapy costs were offset by increased costs in other resources. Results were moderately sensitive to time horizon and changes in testing or treatment cost.

Interpretation

The use of OncoPanel resulted in more precise targeting of cetuximab and panitumumab, but there was no change in incremental cost or quality-adjusted survival. Understanding the balance of costs achieved in practice can provide insight into the effect of future changes in testing policy, test cost, treatment eligibility, or drug prices in this setting.

This report provides a concise overview of how Georgia has integrated the principles of the European Code Against Cancer (ECAC) into its national cancer strategies. Through a structured exploration, we highlight Georgia's commitment to cancer prevention, while addressing the challenges and opportunities encountered.