Evidence map›Paper›PMID 41148771›Full record

ReviewClinics and practice2025

Cancer Pain Is Not One-Size-Fits-All: Evolving from Tradition to Precision.

Nidha Shapoo, Abdul Rehman, Carlos Izaguirre-Rojas, Vladimir Gotlieb, Noella Boma

Abstract readReview
In one paragraph

Review in Clinics and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Nidha ShapooDepartment of Medicine, New York Medical College/Metropolitan Hospital, New York, NY 10029, USA.ORCID 0000-0002-0240-1575
Abdul RehmanDepartment of Medicine, New York Medical College/Metropolitan Hospital, New York, NY 10029, USA.
Carlos Izaguirre-RojasDepartment of Medicine, New York Medical College/Metropolitan Hospital, New York, NY 10029, USA.ORCID 0000-0002-6732-9404
Vladimir GotliebDepartment of Medicine, New York Medical College/Metropolitan Hospital, New York, NY 10029, USA.
Noella BomaDepartment of Medicine, New York Medical College/Metropolitan Hospital, New York, NY 10029, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer pain remains a significant challenge in oncology, profoundly affecting patients' quality of life, function, and prognosis. Historically under-recognized and managed with a uniform, opioid-centric approach, cancer pain was often inadequately treated. Advances in pain assessment, multimodal analgesia, and supportive care have improved outcomes, yet traditional algorithms frequently fail to address the complex, heterogeneous nature of cancer pain. Contemporary management is shifting toward precision and personalized medicine, integrating genetic, molecular, and biomarker data with individual patient characteristics to inform treatment decisions. To address this complexity, we propose a five-domain framework encompassing biological, pharmacologic, psychological, sociocultural, and functional domains. This multidimensional approach enables clinicians to tailor pain management strategies to each patient's unique profile, aiming for equitable and individualized care. However, challenges remain, including tumor and patient heterogeneity, limited biomarker validation, data integration, disparities in access, and the need for multidisciplinary coordination. This review traces the evolution of cancer pain management, highlights the promise of precision and personalized strategies, and presents a comprehensive framework for optimizing pain control in oncology.

Indexed as

biomarkerscancer painchallengesemerging advancesevolutionpersonalized approachprecision medicineWHO analgesic ladder

Identifiers

PMID41148771
PMCPMC12563744

What OpenQuestion holds

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Registered trials

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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.