Evidence map›Paper›PMID 28347350›Full record

ArticleAddiction science & clinical practice2017

The association between age of onset of opioid use and comorbidity among opioid dependent patients receiving methadone maintenance therapy.

Leen Naji, Brittany Burns Dennis, Monica Bawor, Michael Varenbut, Jeff Daiter, Carolyn Plater, Guillaume Pare, David C Marsh, Andrew Worster, Dipika Desai and 3 more

Open access · goldAbstract read
In one paragraph

Article in Addiction science & clinical practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.9field-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

24 citing papers in PubMed, 45 citations in OpenAlex.

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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

13 authors at 6 institutions in 2 countries.

Leen NajiMichael Degroote School of Medicine, McMaster University, Hamilton, Canada.
Brittany Burns DennisSt. George's University of London, London, UK.
Monica BaworSt. George's University of London, London, UK.
Michael VarenbutCanadian Addiction Treatment Centres, Richmond Hill, Canada.
Jeff DaiterCanadian Addiction Treatment Centres, Richmond Hill, Canada.
Carolyn PlaterCanadian Addiction Treatment Centres, Richmond Hill, Canada.
Guillaume PareDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Canada.
David C MarshCanadian Addiction Treatment Centres, Richmond Hill, Canada.
Andrew WorsterCanadian Addiction Treatment Centres, Richmond Hill, Canada.
Dipika DesaiPopulation Genomic Program, Chanchalani Research Centre, McMaster University, Hamilton, Canada.
James MacKillopPeter Boris Centre for Addictions Research, Hamilton, Canada.
Lehana ThabaneDepartments of Pediatrics and Anesthesia, McMaster University, Hamilton, Canada.
Zainab SamaanDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Canada. samaanz@mcmaster.ca.
Centre for Addiction and Mental Health · CAMcMaster University · CASt George's, University of London · GBHamilton General Hospital · CAPopulation Health Research Institute · CASt. Joseph’s Healthcare Hamilton · CA

Funding

CIHR 126639
6 · The paper itself

Abstract

backgroundOpioid use disorder (OUD) affects approximately 21.9 million people worldwide. This study aims to determine the association between age of onset of opioid use and comorbid disorders, both physical and psychiatric, in patients receiving methadone maintenance treatment (MMT) for OUD. Understanding this association may inform clinical practice about important prognostic factors of patients on MMT, enabling clinicians to identify high-risk patients.

methodsThis study includes data collected between June 2011 and August 2016 for the Genetics of Opioid Addiction research collaborative between McMaster University and the Canadian Addiction Treatment Centers. All patients were interviewed by trained health professionals using the Mini-International Neuropsychiatric Interview and case report forms. Physical comorbidities were verified using patients' electronic medical records. A multi-variable logistic regression model was constructed to determine the strength of the association between age of onset of opioid use and the presence of physical or psychiatric comorbidity while adjusting for current age, sex, body mass index, methadone dose and smoking status.

resultsData from 627 MMT patients with a mean age of 38.8 years (SD = 11.07) were analyzed. Individuals with an age of onset of opioid use younger than 18 years were found to be at higher odds for having a physical or psychiatric comorbid disorder compared to individuals with an age of onset of opioid use of 31 years or older (odds ratio 2.94, 95% confidence interval 1.20, 7.19, p = 0.02). A significant association was not found between the risk of having a comorbidity and an age of onset of opioid use between 18 and 25 years or 26 and 30 years, compared to an age of onset of opioid use of 31 years or older.

conclusionOur study demonstrates that the younger one begins to use opioids, the greater their chance of having a physical or psychiatric co-morbidity. Understanding the risk posed by an earlier onset of opioid use for the later development of comorbid disorders informs clinical practice about important prognostic predictors and aids in the identification of high-risk patients.

Indexed as

Health StatusAdultAge of OnsetAnalgesics, OpioidComorbidityFemaleHumansMaleMethadoneOpiate Substitution TreatmentOpioid-Related DisordersYoung AdultAnalgesics, OpioidMethadoneMethadoneOpioid substitution treatmentOpioid use disorderRisk predictionSubstance use

Identifiers

PMID28347350
PMCPMC5369183
OpenAlexW2591880629

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.