Evidence map›Paper›PMID 39461883›Full record

ArticleBMJ supportive & palliative care2025

High-dose opioids in advanced cancer: use factors-retrospective study.

Wanglian Peng, Xufen Huang, Ran Zou, Qifang Chen, Jialin Ding, Man Jiang, Zhijun Yuan

Abstract read
In one paragraph

Article in BMJ supportive & palliative care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Wanglian PengThe Affiliated Cancer Hospital of Xiangya School of Medicine /Hunan Cancer Hospital, Central South University, Changsha, Hunan, China.ORCID http://orcid.org/0009-0004-1058-0763
Xufen HuangThe Affiliated Cancer Hospital of Xiangya School of Medicine /Hunan Cancer Hospital, Central South University, Changsha, Hunan, China.
Ran ZouThe Affiliated Cancer Hospital of Xiangya School of Medicine /Hunan Cancer Hospital, Central South University, Changsha, Hunan, China.
Qifang ChenThe Affiliated Cancer Hospital of Xiangya School of Medicine /Hunan Cancer Hospital, Central South University, Changsha, Hunan, China.
Jialin DingThe Affiliated Cancer Hospital of Xiangya School of Medicine /Hunan Cancer Hospital, Central South University, Changsha, Hunan, China.
Man JiangThe Affiliated Cancer Hospital of Xiangya School of Medicine /Hunan Cancer Hospital, Central South University, Changsha, Hunan, China.
Zhijun YuanThe Affiliated Cancer Hospital of Xiangya School of Medicine /Hunan Cancer Hospital, Central South University, Changsha, Hunan, China hunanyuan2024@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate factors associated with high-dose opioid use in patients with advanced cancer and examine the effect of high-dose opioid use on patients' survival.

methodsThis study retrospectively searched the medical records of 416 patients with advanced cancer in a home-based hospice in central China. Age, sex, type of cancer, type of pain, the maximum oral morphine equivalent daily dose, type of opioid, preadmission oral morphine equivalent daily dose, lung cancer or not, bone metastases, opioid switch and survival time were assessed.

resultsThere were 416 subjects included from the 455 eligible participants (91.4%). 80 patients (19.2%) received high-dose opioids at home. Male (OR 2.471; 95% CI 1.054 to 5.792; p=0.037), preadmission morphine equivalent daily dose (OR 1.022; 95% CI 1.016 to 1.028; p=0.000) and the use of morphine at maximum morphine equivalent daily dose (OR 5.123; 95% CI 1.249 to 21.014; p=0.023) were positively predicted high-dose opioid use. No difference in survival was found when comparing the high-dose and very high-dose opioid use groups.

conclusionsMale home-based patients with advanced cancer who use morphine and have greater preadmission opioid doses should be aware of the necessity for high-dose opioid use. Regulated opioid use in adequate amounts does not shorten survival.

Indexed as

Analgesics, OpioidCancer PainNeoplasmsAdultAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedMorphineRetrospective StudiesAnalgesics, OpioidMorphineCancerHospice carePainSurvivorshipSymptoms and symptom management

Identifiers

PMID39461883
PMCPMC12772541

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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.