Cancer Groundshot: Building a Robust Cancer Control Platform in Addition To Launching the Cancer Moonshot

Series on the Lancet Oncology Commission on Global Cancer Surgery: Introduction-Intent and Content

BACKGROUND

Surgery plays a key role in the multi-disciplinary cancer care pathway. Nearly 80% of patients with solid tumors will require surgical intervention during the course of their disease. Unfortunately, the vast majority of these patients do not have access to safe, timely, high-quality, and affordable cancer surgical care. The first Lancet Oncology Commission on Global Cancer Surgery shone a light on this grave situation and outlined some strategies to address them. The second Lancet Oncology Commission on Global Cancer Surgery (TLO- II) was conceived to continue the work of its predecessor by developing a roadmap of practical solutions to propel improvements in cancer surgical care globally.

METHODS

The Commission was developed by involving approximately 50 cancer care leaders and experts from different parts of the world to ensure diversity of input and global applicability.

RESULTS

The Commission identified nine solutional domains that are considered essential to deliver safe, timely, high-quality, and affordable cancer surgical care. These nine domains were further refined to develop solutions specific to each of the six World Health Organization regions. Based on the above solutions, we developed eight action items that are intended to propel improvements in cancer surgical care on the global stage.

CONCLUSIONS

The second Lancet Oncology Commission on Global Cancer Surgery builds on the first Commission by developing a pragmatic roadmap of practical solutions that we hope will ensure access to safe, timely, high-quality, and affordable cancer surgical care for everyone regardless of their socioeconomic status or geographic location.

An analysis of the African cancer research ecosystem: tackling disparities

Disparities in cancer research persist around the world. This is especially true in global health research, where high-income countries (HICs) continue to set global health priorities further creating several imbalances in how research is conducted in low and middle-income countries (LMICs). Cancer research disparities in Africa can be attributed to a vicious cycle of challenges in the research ecosystem ranging from who funds research, where research is conducted, who conducts it, what type of research is conducted and where and how it is disseminated. For example, the funding chasm between HICs and LMICs contributes to inequities and parachutism in cancer research. Breaking the current cancer research model necessitates a thorough examination of why current practices and norms exist and the identification of actionable ways to improve them. The cancer research agenda in Africa should be appropriate for the African nations and continent. Empowering African researchers and ensuring local autonomy are two critical steps in moving cancer research towards this new paradigm.

The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

BACKGROUND

The field of oncology is at the forefront of advances in artificial intelligence (AI) in health care, providing an opportunity to examine the early integration of these technologies in clinical research and patient care. Hope that AI will revolutionize health care delivery and improve clinical outcomes has been accompanied by concerns about the impact of these technologies on health equity.

OBJECTIVE

We aimed to conduct a scoping review of the literature to address the question, "What are the current and potential impacts of AI technologies on health equity in oncology?"

METHODS

Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines for scoping reviews, we systematically searched MEDLINE and Embase electronic databases from January 2000 to August 2021 for records engaging with key concepts of AI, health equity, and oncology. We included all English-language articles that engaged with the 3 key concepts. Articles were analyzed qualitatively for themes pertaining to the influence of AI on health equity in oncology.

RESULTS

Of the 14,011 records, 133 (0.95%) identified from our review were included. We identified 3 general themes in the literature: the use of AI to reduce health care disparities (58/133, 43.6%), concerns surrounding AI technologies and bias (16/133, 12.1%), and the use of AI to examine biological and social determinants of health (55/133, 41.4%). A total of 3% (4/133) of articles focused on many of these themes.

CONCLUSIONS

Our scoping review revealed 3 main themes on the impact of AI on health equity in oncology, which relate to AI's ability to help address health disparities, its potential to mitigate or exacerbate bias, and its capability to help elucidate determinants of health. Gaps in the literature included a lack of discussion of ethical challenges with the application of AI technologies in low- and middle-income countries, lack of discussion of problems of bias in AI algorithms, and a lack of justification for the use of AI technologies over traditional statistical methods to address specific research questions in oncology. Our review highlights a need to address these gaps to ensure a more equitable integration of AI in cancer research and clinical practice. The limitations of our study include its exploratory nature, its focus on oncology as opposed to all health care sectors, and its analysis of solely English-language articles.