Evidence map›Paper›PMID 41040753›Full record

ReviewCureus2025

Understanding Cancer-Related Pain: Pathophysiology, Classification, and Treatment Modalities.

Jerish Murari, Ish Sharma, Siddharth Arjun Atwal, Aparna Sharma, Sukanta Bandyopadhyay, B Shalini, Manish Kumar

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jerish MurariDepartment of General Medicine, Chettinad Hospital and Research Institute, Kelambakkam, IND.
Ish SharmaDepartment of Ayurvedic Pathology, Babe Ke Ayurvedic Medical College and Hospital, Daudhar, IND.
Siddharth Arjun AtwalDepartment of Emergency Medicine, Civil Hospital Malerkotla, Malerkotla, IND.
Aparna SharmaDepartment of Ayurvedic Eye and Ear, Nose, and Throat (ENT), National Institute of Ayurveda, Jaipur, IND.
Sukanta BandyopadhyayDepartment of Biochemistry, Rama Medical College Hospital and Research Centre, Kanpur, IND.
B ShaliniDepartment of Pediatric Medicine, National Institute of Siddha, The Tamil Nadu Dr. M.G.R. Medical University, Chennai, IND.
Manish KumarDepartment of Microbiology, School of Science, YBN University, Ranchi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer-related pain (CRP) is a complex, multidimensional challenge in oncology that undermines quality of life, psychological well-being, and treatment adherence. This narrative, mechanism-informed review synthesizes pathophysiology, classification systems, and multidisciplinary management strategies to provide clinical insights and research priorities. It connects nociceptive, neuropathic, and mixed pain mechanisms to practical interventions, emphasizing peripheral and central sensitization in chronicity. Major frameworks, including the WHO analgesic ladder, International Classification of Diseases, 11th Revision, Edmonton Classification System for Cancer Pain, and European Pain Federation standards, are appraised alongside assessment tools such as the Visual Analogue Scale, Brief Pain Inventory, and Hospital Anxiety and Depression Scale, with examples of their clinical application. Management is framed within a flexible, mechanism-based, multimodal model that integrates pharmacologic, adjuvant, interventional, and psychosocial approaches, delivered through coordinated, multidisciplinary teams. Evidence for complementary modalities, such as acupuncture and mindfulness-based stress reduction, remains preliminary and heterogeneous, requiring further high-quality trials, whereas opioid-based pharmacologic approaches and structured psychosocial interventions such as cognitive behavioral therapy are supported by more robust, established evidence. Similarly, innovations like AI-driven monitoring and pharmacogenomics hold promise but are still in the early validation phase, underscoring the need to distinguish between evolving and well-established domains of cancer pain management. The principal actionable priorities are to adopt mechanism-based classification, embed multidisciplinary collaboration, expand multimodal access in low-resource settings, and rigorously validate emerging pharmacogenomic and digital health innovations before widespread clinical integration.

Indexed as

artificial intelligencecancer-related painmechanism-based treatmentprecision oncologytranslational pain research

Identifiers

PMID41040753
PMCPMC12486688

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.