Evidence map›Paper›PMID 30518593›Full record

ArticleBMJ open2018

Combating escalating harms associated with pharmaceutical opioid use in Australia: the POPPY II study protocol.

Natasa Gisev, Sallie-Anne Pearson, Timothy Dobbins, David C Currow, Fiona Blyth, Sarah Larney, Adrian Dunlop, Richard P Mattick, Andrew Wilson, Louisa Degenhardt

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 31 citations in OpenAlex.

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  12. Opioid epidemic and liver disease.JHEP reports : innovation in hepatology · 2019
    Review
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

10 authors at 4 institutions in 1 country.

Natasa GisevNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-0452-8470
Sallie-Anne PearsonCentre for Big Data Research in Health, UNSW Sydney, Sydney, New South Wales, Australia.
Timothy DobbinsNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
David C CurrowIMPACCT, Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia.
Fiona BlythConcord Clinical School, The University of Sydney, Sydney, New South Wales, Australia.
Sarah LarneyNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-5602-4963
Adrian DunlopSchool of Medicine and Public Health, Faculty of Health, The University of Newcastle, Newcastle, New South Wales, Australia.
Richard P MattickNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
Andrew WilsonMenzies Centre for Health Policy, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
UNSW Sydney · AUThe University of Sydney · AUHunter New England Local Health District · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOpioid prescribing has increased 15-fold in Australia in the past two decades, alongside increases in a range of opioid-related harms such as opioid dependence and overdose. However, despite concerns about increasing opioid use, extramedical use and harms, there is a lack of population-level evidence about the drivers of long-term prescribed opioid use, dependence, overdose and other harms. METHODS AND ANALYSIS: We will form a cohort of all adult residents in New South Wales (NSW), Australia, who initiated prescribed opioids from 2002 using Pharmaceutical Benefits Scheme dispensing records. This cohort will be linked to a wide range of other datasets containing information on sociodemographic and clinical characteristics, health service use and adverse outcomes (eg, opioid dependence and non-fatal and fatal overdose). Analyses will initially examine patterns and predictors of prescribed opioid use and then apply regression and survival analysis to quantify the risks and risk factors of adverse outcomes associated with prescribed opioid use. ETHICS AND DISSEMINATION: This study has received full ethical approval from the Australian Institute of Health and Welfare Ethics Committee, the NSW Population and Health Services Research Committee and the ACT Health Human Research Ethics Committee. This will be the largest postmarketing surveillance study of prescribed opioids undertaken in Australia, linking exposure and outcomes and examining risk factors for adverse outcomes of prescribed opioids. As such, this work has important translational promise, with direct relevance to regulatory authorities and agencies worldwide. Project findings will be disseminated at scientific conferences and in peer-reviewed journals. We will also conduct targeted dissemination with policy makers, professional bodies and peak bodies in the pain, medicine and addiction fields through stakeholder workshops and advisory groups. Results will be reported in accordance with the REporting of studies Conducted using Observational Routinely collected Data (RECORD) Statement.

Indexed as

AdultAnalgesics, OpioidCohort StudiesDrug OverdoseFemaleHumansMaleNew South WalesOpioid-Related DisordersPainPractice Patterns, Physicians'Regression AnalysisResearch DesignAnalgesics, Opioidadverse eventshealth policypain managementpublic health

Identifiers

PMID30518593
PMCPMC6286479
OpenAlexW2902426713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.