ReviewCurrent oncology reports2020
Percutaneous Management of Cancer Pain.
Review in Current oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 21 citations in OpenAlex.
- JK5G postbiotics modulate gut microbiota and metabolome to alleviate cancer-related pain: a randomized controlled trial with multi-omics integration.Frontiers in immunology · 2026Trial
- A Retrospective Evaluation of the Effectiveness of Thoracic Sympathetic Block: A Three-Year Experience.Journal of clinical medicine · 2026Article
- Minimally Invasive Treatment Strategies for Metastatic Disease of the Skeleton: Current Concepts.Current oncology reports · 2025Review
- The Missing Link: Integrating Interventional Pain Management in the Era of Multimodal Oncology.Pain and therapy · 2025Review
- Interventional Radiology Management of Bone Metastasis Pain: Strategies and Techniques.Cardiovascular and interventional radiology · 2025Review
- Minimally invasive interventional guided imaging therapies of musculoskeletal tumors.Quantitative imaging in medicine and surgery · 2024Review
- Thermal Ablation Combined with Immune Checkpoint Blockers: A 10-Year Monocentric Experience.Cancers · 2024Article
- Analgesic and potentiated photothermal therapy with ropivacaine-loaded hydrogels.Theranostics · 2023Article
- Celiac Plexus Cryoneurolysis.Seminars in interventional radiology · 2022Review
- Interventional Palliation of Painful Extraspinal Musculoskeletal Metastases.Seminars in interventional radiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewTo describe several effective imaging-guided, minimally invasive treatments to relieve cancer-associated pain in oncologic patients. Clinical applications, technical considerations, and current controversies are addressed. RECENT
findingsThe great variability in tumor subtype, location, and growth rates dictate the necessity for a tailored treatment approach. While opioids and radiotherapy may provide adequate relief for some patients, alternative minimally invasive procedures may augment theses more traditional treatments or even provide superior palliative relief. Recent image-guided percutaneous techniques applied to reduce cancer-associated pain and minimize opioid dependence include neurolysis, ablation, high intensity focused ultrasound, and bone consolidation. Each technique treats cancer pain in a unique method. Minimally invasive interventional radiology techniques can provide effective and lasting pain palliation for cancer patients through both indirect and direct effects. Selection among treatments techniques should be based upon an individually tailored approach, to include consideration of all treatment modalities.
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.