Evidence map›Paper›PMID 24475016›Full record

ArticlePloS one2014

Managing cancer pain at the end of life with multiple strong opioids: a population-based retrospective cohort study in primary care.

Wei Gao, Martin Gulliford, Michael I Bennett, Fliss E M Murtagh, Irene J Higginson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Colorectal cancer.Nature reviews. Disease primers · 2015
    Review
  9. Why are we not controlling cancer pain adequately in the community?The British journal of general practice : the journal of the Royal College of General Practitioners · 2014
    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 at 2 institutions in 1 country.

Wei GaoKing's College London, School of Medicine, Department of Palliative Care, Policy and Rehabilitation, London, United Kingdom.
Martin GullifordKing's College London, School of Medicine, Department of Primary Care and Public Health Sciences, London, United Kingdom.
Michael I BennettUniversity of Leeds, Leeds Institute of Health Sciences, Academic Unit of Palliative Care, Leeds, United Kingdom.
Fliss E M MurtaghKing's College London, School of Medicine, Department of Palliative Care, Policy and Rehabilitation, London, United Kingdom.
Irene J HigginsonKing's College London, School of Medicine, Department of Palliative Care, Policy and Rehabilitation, London, United Kingdom.
King's College London · GBUniversity of Leeds · GB

Funding

Department of Health NF-SI-0611-10209
6 · The paper itself

Abstract

backgroundEnd-of-life cancer patients commonly receive more than one type of strong opioid. The three-step analgesic ladder framework of the World Health Organisation (WHO) provides no guidance on multiple opioid prescribing and there is little epidemiological data available to inform practice. This study aims to investigate the time trend of such cases and the associated factors.

methodsStrong opioid prescribing in the last three months of life of cancer patients were extracted from the General Practice Research Database (GPRD). The outcome variable was the number of different types of prescribed non-rescue doses of opioids (1 vs 2-4, referred to as a complex case). Associated factors were evaluated using prevalence ratios (PR) derived from multivariate log-binomial model, adjusting for clustering effects and potential confounding variables.

resultsOverall, 26.4% (95% CI: 25.6-27.1%) of 13,427 cancer patients (lung 41.7%, colorectal 19.1%, breast 18.6%, prostate 15.5%, head and neck 5.0%) were complex cases. Complex cases increased steadily over the study period (1.02% annually, 95%CI: 0.42-1.61%, p = 0.048) but with a small dip (7.5% reduction, 95%CI: -0.03 to 17.8%) around the period of the Shipman case, a British primary care doctor who murdered his patients with opioids. The dip significantly affected the correlation of the complex cases with persistent increasing background opioid prescribing (weighted correlation coefficients pre-, post-Shipman periods: 0.98(95%CI: 0.67-1.00), p = 0.011; 0.14 (95%CI: -0.85 to 0.91), p = 0.85). Multivariate adjusted analysis showed that the complex cases were predominantly associated with year of death (PRs vs 2000: 1.05-1.65), not other demographic and clinical factors except colorectal cancer (PR vs lung cancer: 1.24, 95%CI: 1.12-1.37).

conclusionThese findings suggest that prescribing behaviour, rather than patient factors, plays an important role in multiple opioid prescribing at the end of life; highlighting the need for training and education that goes beyond the well-recognised WHO approach for clinical practitioners.

Indexed as

Analgesics, OpioidChronic PainCohort StudiesDrug UtilizationHumansModels, StatisticalNeoplasmsPractice Patterns, Physicians'Primary Health CareRetrospective StudiesTerminal CareAnalgesics, Opioid

Identifiers

PMID24475016
PMCPMC3903468
OpenAlexW2032627392

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.