ReviewPain and therapy2025
The Missing Link: Integrating Interventional Pain Management in the Era of Multimodal Oncology.
Review in Pain and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers to interventional pain management in patients with cancer: a systematic review.BMC palliative care · 2026Pooled it
- Early analgesic response to interventional pain procedures in hospitalized patients with cancer-related pain: clinical predictors and exploratory survival analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Palliative radiotherapy plus multimodal analgesia for painful bone metastases: improved pain control and survival.American journal of cancer research · 2026Article
- Multidisciplinary management of persistent severe cancer pain: a collaborative European approach.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer-related pain (CrP) is one of the most frequent and debilitating issues that affect the quality of life of patients with cancer. Systemic analgesics, particularly opioids, have been the cornerstone of pain management. However, the following shortcomings of the mentioned therapies, such as side effects, tolerance, and inadequate relief in refractory cases, make implementing a more complete, multimodal treatment plan necessary. Interventional pain management (IPM) uses specific invasive procedures, with different degree of invasiveness, such as nerve blocks, neurolysis, neuromodulation, and intrathecal drug delivery systems to provide effective pain relief with reduced adverse effects compared with opioids. These approaches are frequently underutilized due to delayed referrals, insufficient awareness, and logistic inefficiencies, which delay access to pain management centers specializing in care for patients in pain. Recent technological advancements offer the potential to overcome these barriers, including artificial intelligence-driven decision support systems and automated referral pathways, enabling early intervention and individualized pain treatment plans. The future of CrP management should shift from the current reactive model to a proactive approach, enabling the earlier incorporation of interventional techniques into treatment plans. The integration of interdisciplinary collaboration and technological innovations will enhance cancer pain management and progress from current outdated approaches to provide more effective and timely pain relief for patients with chronic refractory cancer pain.
Indexed as
Identifiers
What Socratic 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 Socratic graph.