ReviewThe Lancet. Oncology2024
Addressing challenges in low-income and middle-income countries through novel radiotherapy research opportunities.
Review in The Lancet. Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- ONMORE-Africa: diagnosing and building real-world oncology studies in Morocco and Africa.ESMO real world data and digital oncology · 2026Review
- A bibliometric analysis of global research in cervical cancer radiotherapy (2015-2024): trends, hotspots, and future directions.Translational cancer research · 2026Article
- A prospective multicenter trial of deep learning auto-segmentation for organs at risk in thoracic radiotherapy.Nature communications · 2026Observational
- C. Norman Coleman's Legacy in Radiation Research and Global Health: A Cancer Research and Care Perspective.Disaster medicine and public health preparedness · 2026Article
- Review
- Global Cancer Imaging Access: Addressing Barriers and Harnessing Innovations.Radiology. Imaging cancer · 2025Review
- From Symptoms to Diagnosis of Metastatic Brain Lesion: A Complex Scenario From a Resource-Limited Setting.Clinical case reports · 2025Article
- Bridging the Beam Gap: Expanding Global Access to Stereotactic Radiosurgery Through Policy and Innovation.Cureus · 2025Article
- Bidirectional Mendelian Randomization Analysis to Study the Relationship Between Human Skin Microbiota and Radiation-Induced Skin Toxicity.Microorganisms · 2025Article
- Natural polymer derivative-based pH-responsive nanoformulations with entrapped diketo-tautomers of 5-fluorouracil for enhanced cancer therapy.ADMET & DMPK · 2025Article
- Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods.BJR open · 2024Review
- Patent spotlight on theranostics targeting fibroblast activation protein for personalized cancer care.Pharmaceutical patent analyst · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors.
Funding
Abstract
Although radiotherapy continues to evolve as a mainstay of the oncological armamentarium, research and innovation in radiotherapy in low-income and middle-income countries (LMICs) faces challenges. This third Series paper examines the current state of LMIC radiotherapy research and provides new data from a 2022 survey undertaken by the International Atomic Energy Agency and new data on funding. In the context of LMIC-related challenges and impediments, we explore several developments and advances-such as deep phenotyping, real-time targeting, and artificial intelligence-to flag specific opportunities with applicability and relevance for resource-constrained settings. Given the pressing nature of cancer in LMICs, we also highlight some best practices and address the broader need to develop the research workforce of the future. This Series paper thereby serves as a resource for radiation professionals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.