Evidence map›Paper›PMID 41571835›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Pain at the end of life in patients with cancer: a population-based study on prevalence, relief, and the role of pain assessment.

Ellis Slotman, Christel Hedman, Heidi P Fransen, Yvette M van der Linden, Natasja J H Raijmakers, Staffan Lundström

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ellis SlotmanDepartment of Health Technology and Services Research, University of Twente, Technical Medical Centre, Enschede, the Netherlands. e.slotman@utwente.nl.
Christel HedmanDepartment of Research and Development, Stockholms Sjukhem Foundation, Stockholm, Sweden.
Heidi P FransenDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands.
Yvette M van der LindenCentre of Expertise in Palliative Care, Leiden University Medical Centre, Leiden, the Netherlands.
Natasja J H RaijmakersDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands.
Staffan LundströmDepartment of Research and Development, Stockholms Sjukhem Foundation, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain is common in advanced cancer, and its assessment is recognized as crucial for effective management. However, real-world evidence on pain prevalence, relief, and the impact of structured pain assessment across cancer types at the end of life remains limited.

methodsWe analyzed data from 215,317 patients who died from cancer reported to the Swedish Register of Palliative Care (2011-2023). Data are based on validated end-of-life questionnaires completed by healthcare providers after the patient's death. Patient characteristics and provider-reported pain outcomes (prevalence of pain, severe pain, structured pain assessment usage, pain relief) were evaluated. Pain prevalence and relief across cancer types were examined through multivariable logistic regression analyses.

resultsOverall, 82% of patients experienced pain and 35% severe pain during their final week of life. Highest pain prevalence occurred in pancreatic, prostate, and bone/soft tissue cancer and lowest in brain/CNS cancers. Complete pain relief was reported in 77% of patients, with lowest odds in patients with prostate and bone/soft tissue cancer and highest odds in patients with brain/CNS cancer. Pain assessment using validated tools was reported in 57% of patients, ranging from 49% in hematological malignancies to 64% in pancreatic cancer. Structured pain assessment was significantly associated with higher odds of complete pain relief both overall (adjusted OR 1.27, 95% CI 1.24-1.30) and across most cancer types.

conclusionPain remains highly prevalent in patients with cancer at the end of life, with variation in both occurrence and relief across cancer types. Structured pain assessment was consistently associated with higher odds of complete pain relief. These findings underscore the importance of routine, systematic pain assessment and tailored pain management strategies in end-of-life cancer care.

Indexed as

Cancer PainNeoplasmsPain ManagementPain MeasurementPalliative CareTerminal CareAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrevalenceRegistriesSurveys and QuestionnairesCancerPain prevalenceRelief

Identifiers

PMID41571835
PMCPMC12827307

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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.