Evidence map›Paper›PMID 30633773›Full record

ArticlePloS one2019

Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study.

GYeon Oh, Erin L Abner, David W Fardo, Patricia R Freeman, Daniela C Moga

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05037682 (Addressing Opioid Use Disorder in the Elderly Through Primary Care Innovation), which is not on this map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% 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.

NCT05037682 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Addressing Opioid Use Disorder in the Elderly Through Primary Care Innovation: Pain and Opioid Management in Older Adults

TypeinterventionalSponsorUniversity of OklahomaRan2020 to 2024Enrolled1,035ConditionsPain, Chronic, Opioid Use DisorderArmsDissemination and Implementation Research
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 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

5 authors at 1 institution in 1 country.

GYeon OhDepartment of Epidemiology, University of Kentucky, Lexington, Kentucky, United States of America.ORCID 0000-0001-7203-8460
Erin L AbnerDepartment of Epidemiology, University of Kentucky, Lexington, Kentucky, United States of America.
David W FardoSanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, United States of America.
Patricia R FreemanDepartment of Pharmacy Practice and Science, University of Kentucky, Lexington, Kentucky, United States of America.
Daniela C MogaDepartment of Epidemiology, University of Kentucky, Lexington, Kentucky, United States of America.
University of Kentucky · US

Funding

NATIONAL ALZHEIMERS COORDINATING CENTER (NACC)U01AG016976 · NIA · UNIVERSITY OF WASHINGTON · PI KUKULL, WALTER ANTHONY · 1999 to 2020
$72.8M
THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2M
VIRUS-INDUCED BRAIN PATHOLOGYP50AG005131 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BREWER, JAMES B · 1985 to 2018
$55.4M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI FAGAN, ANNE · 1985 to 2019
$52.1M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DE JAGER, PHILIP L · 1989 to 2019
$46.3M
TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 1985 to 2019
$43.0M
THE ROLE OF ADVANCED CAA IN ALZHEIMER'S DEMENTIAP50AG005134 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HYMAN, BRADLEY T. · 1985 to 2018
$42.1M
VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRASKIE, MEREDITH NICOLE · 1985 to 2019
$41.0M
VESICULAR LOCALIZATION AND FUNCTION OF PRESENILIN 1 FRAGMENTP50AG005138 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GROSSMAN, HILLEL · 1985 to 2019
$37.9M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 1985 to 2019
$37.6M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG008051NIA NIH HHS P30 AG010124NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG012300NIA NIH HHS P30 AG013846NIA NIH HHS P30 AG013854NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG028383NIA NIH HHS P30 AG035982NIA NIH HHS P30 AG049638NIA NIH HHS P30 AG053760NIA NIH HHS P50 AG005131NIA NIH HHS P50 AG005133NIA NIH HHS P50 AG005134NIA NIH HHS P50 AG005136NIA NIH HHS P50 AG005138NIA NIH HHS P50 AG005142NIA NIH HHS P50 AG005146NIA NIH HHS P50 AG005681NIA NIH HHS P50 AG008702NIA NIH HHS P50 AG016573NIA NIH HHS P50 AG016574NIA NIH HHS P50 AG023501NIA NIH HHS P50 AG025688NIA NIH HHS P50 AG033514NIA NIH HHS P50 AG047266NIA NIH HHS P50 AG047270NIA NIH HHS P50 AG047366NIA NIH HHS R01 AG054130NIA NIH HHS U01 AG016976
6 · The paper itself

Abstract

backgroundGiven the controversy around the effectiveness of opioid treatment for chronic pain and the lack of detailed guidance for prescribing opioids in older adults, the objectives of this study were to estimate the trajectories and predictors of opioid use in older adults.

methodsData were extracted from the National Alzheimer's Coordinating Center (2005-2017). Group-based trajectory modeling was used to identify the patterns of opioid use (any or strong) among participants age 65+. We used multivariable logistic regression with backward selection to evaluate demographics and comorbidities as potential predictors of trajectory membership.

resultsAmong 13,059 participants, four trajectories were identified for the use of both any opioids and strong opioids (minimal-users, incident chronic-users, discontinuing-users, and prevalent chronic-users). For any opioids, female sex (adjusted odds ratio = 1.23; 95% confidence interval = 1.03-1.46), black vs. white (1.47; 1.18-1.82), year of education (0.96; 0.94-0.99), type of residence (independent group vs. private: 1.77; 1.38-2.26, care facility vs. private: 1.89; 1.20-2.97), hypertension (1.44; 1.20-1.72), cardiovascular disease (1.30; 1.09-1.55), urinary incontinence (1.45; 1.19-1.78), dementia (0.73; 0.57-0.92), number of medications (1 to 4 vs. none: 0.48; 0.36-0.64, 5 or more vs. none: 0.67; 0.50-0.88), and antidepressant agent (1.38; 1.14-1.67) were associated with incident chronic-use vs. non-use. For strong opioids, female sex (1.27; 1.04-1.56), type of residence (independent group vs. private: 1.90; 1.43-2.53, care facility vs. private: 2.37; 1.44-3.90), current smoking (1.68; 1.09-2.60), hypertension (1.49; 1.21-1.83), urinary incontinence (1.45; 1.14-1.84), dementia (0.73; 0.55-0.97), number of medications (1 to 4 vs. none: 0.46; 0.32-0.65, 5 or more vs. none: 0.59; 0.42-0.83), and antidepressant agent (1.55; 1.24-1.93) were associated with incident chronic-use vs. non-use.

conclusionGiven that chronic opioid use was more prevalent in participants who were more vulnerable (i.e., older age, with multiple comorbidities, and polypharmacy), further studies should evaluate the safety and efficacy of using opioids in this population.

Indexed as

AgedAged, 80 and overAnalgesics, OpioidChronic PainCohort StudiesComorbidityDatabases, FactualFemaleHumansLogistic ModelsMaleOpioid-Related DisordersPolypharmacyRetrospective StudiesSex FactorsUnited StatesAnalgesics, Opioid

Identifiers

PMID30633773
PMCPMC6329525
OpenAlexW2909185575

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Registered trials

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.