Evidence map›Paper›PMID 31900614›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2020

Patient-level factors associated with chronic opioid use in cancer: a population-based cohort study.

Colleen A Cuthbert, Yuan Xu, Shiying Kong, Devon J Boyne, Brenda R Hemmelgarn, Winson Y Cheung

Abstract read
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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. The impact of the COVID-19 pandemic on community prescription of opioid and antineuropathic analgesics for cancer patients in Wales, UK.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Observational
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  5. Article
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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

6 authors at 2 institutions in 1 country.

Colleen A CuthbertFaculty of Nursing, University of Calgary, PF 2294, 2500 University Drive N.W, Calgary, AB, T2N 1N4, Canada. cacuthbe@ucalgary.ca.ORCID http://orcid.org/0000-0002-0940-2802
Yuan XuCumming School of Medicine, Department of Community Health Sciences, University of Calgary, Calgary, Canada.
Shiying KongCumming School of Medicine, Department of Community Health Sciences, University of Calgary, Calgary, Canada.
Devon J BoyneCumming School of Medicine, Department of Community Health Sciences, University of Calgary, Calgary, Canada.
Brenda R HemmelgarnCumming School of Medicine, Department of Community Health Sciences, University of Calgary, Calgary, Canada.
Winson Y CheungAlberta Health Services Cancer Control, Calgary, Alberta, Canada.
University of Calgary · CAAlberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeConcerns around chronic opioid use (COU), misuse, and harms have led to increased scrutiny of opioid prescribing in oncology. There is lack of research examining patient-level factors associated with COU. Our aim was to examine patient-level factors associated with COU in newly diagnosed cancer patients.

methodsPopulation-based retrospective cohort study using administrative health data of patients in Alberta, Canada, diagnosed between February 2016 and October 2017. Adult cancer patients who completed a symptom survey within ± 60 days of diagnosis were included. Patients were divided into two groups: COU (defined as continuous opioid prescriptions for at least 90 days post-diagnosis) and non-chronic opioid use (NCOU). Logistic regression was used to evaluate factors associated with COU.

resultsWe included 694 patients (mean age 65 years; 51% female). Most had breast (20%), colorectal (13%), and lung (33%) cancers. Of the 14% with COU, 79% were opioid naïve at diagnosis. Those in the COU group were more often diagnosed with advanced cancer (66% versus 40%), had lung cancer (47%), and were opioid tolerant (> 90 days of continuous opioids within one-year pre-diagnosis). A total of 64% of COU versus 27% of NCOU had moderate to severe pain at diagnosis (p < 0.001). Irrespective of treatment type or stage, those with moderate to severe pain, were opioid tolerant at diagnosis, or had multiple prescribers were at greater risk for COU.

conclusionsSpecific patient groups were at increased risk of COU and should be the focus of adaptive prescribing approaches to ensure that opioid use is appropriate.

Indexed as

AdultAgedAlbertaAnalgesics, OpioidCancer PainCohort StudiesDrug PrescriptionsFemaleHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedNeoplasmsPain ManagementPractice Patterns, Physicians'Analgesics, OpioidCancerChronic opioid useCohort studyOpioidsSymptom management

Identifiers

PMID31900614
OpenAlexW2997502473

What OpenQuestion holds

Textmetadata
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.