Evidence map›Paper›PMID 27260937›Full record

Observational studyBritish journal of clinical pharmacology2016

Initiation of strong prescription opioids in Australia: cohort characteristics and factors associated with the type of opioid initiated.

Natasa Gisev, Sallie-Anne Pearson, Bianca Blanch, Briony Larance, Timothy Dobbins, Sarah Larney, Louisa Degenhardt

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in British journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  5. Article
  6. The Role of Pharmacogenomics in Opioid Prescribing.Current treatment options in oncology · 2022
    Review
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  8. Article
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  13. Observational
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

7 authors at 3 institutions in 1 country.

Natasa GisevNational Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia. n.gisev@unsw.edu.au.
Sallie-Anne PearsonCentre for Big Data Research in Health, UNSW Australia, Sydney, New South Wales, Australia.
Bianca BlanchFaculty of Pharmacy, The University of Sydney, Sydney, New South Wales, Australia.
Briony LaranceNational Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia.
Timothy DobbinsNational Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia.
Sarah LarneyNational Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia.
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Australia, Sydney, New South Wales, Australia.
National Centre for Clinical Research on Emerging Drugs · AUUniversity of Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo describe the characteristics of Australians initiating strong opioids and examine the factors associated with the type of opioid initiated.

methodsPharmaceutical Benefits Scheme dispensing records were extracted for a 10% sample of people who initiated a strong opioid treatment episode (buprenorphine, fentanyl, hydromorphone, morphine, oxycodone) between 29 September 2009 and 31 December 2013, as evidenced by the absence of a strong opioid dispensing for at least 90 days. The cohort was restricted to people with complete medicines ascertainment. Socio-demographic characteristics, previous dispensing histories and index opioid use were examined. Multinomial logistic regression was used to calculate adjusted relative risk ratios (aRRRs) and 95% confidence intervals (CIs) to determine the factors associated with the type of opioid medicine initiated, relative to oxycodone.

resultsThe cohort consisted of 125 335 people: 58.3% were female and 63.7% were aged ≥65 years. The most commonly initiated strong opioid was oxycodone (72.8%), usually 5 mg immediate-release tablets (76.1%). Compared to people aged 18-44 years, those ≥85 years were 14.18 times as likely (95% CI 12.67-15.87) to initiate morphine than oxycodone. Compared to people without a cancer treatment history, those with a cancer treatment history were 2.34 times as likely (95% CI 2.11-2.60) to initiate morphine than oxycodone.

conclusionsThe most commonly initiated strong opioid was oxycodone, usually at lower strengths. Those who initiated oxycodone were more likely to be younger with no previous cancer treatment history. As these are high-risk characteristics for potential harms, a judicious approach when initiating strong opioids for this group is necessary.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAnalgesics, OpioidAustralasiaAustraliaComorbidityFemaleHumansMaleMiddle AgedPainPractice Patterns, Physicians'Prescription DrugsAnalgesics, OpioidPrescription Drugsanalgesicsdrug utilizationopioidspainpharmacoepidemiology

Identifiers

PMID27260937
PMCPMC5137837
OpenAlexW2416919730

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.