Evidence map›Paper›PMID 31317364›Full record

Observational studyAIDS and behavior2019

Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study.

Christopher T Rentsch, E Jennifer Edelman, Amy C Justice, Brandon D L Marshall, Ke Xu, Andrew H Smith, Stephen Crystal, Julie R Gaither, Adam J Gordon, Rachel V Smith and 8 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in AIDS and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-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

11 citing papers in PubMed, 20 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

18 authors at 7 institutions in 2 countries.

Christopher T RentschFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. Christopher.Rentsch@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-1408-7907
E Jennifer EdelmanInternal Medicine, Yale School of Medicine, New Haven, CT, 06515, USA.
Amy C JusticeVeterans Aging Cohort Study Coordinating Center, VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Brandon D L MarshallDepartment of Epidemiology, Brown School of Public Health, Providence, RI, 02903, USA.
Ke XuDepartment of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Andrew H SmithDepartment of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Stephen CrystalInstitute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, NJ, 08901, USA.
Julie R GaitherYale Center for Medical Informatics, Yale School of Medicine, New Haven, CT, 06515, USA.
Adam J GordonVA COIN Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City VA Health Care System, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA.
Rachel V SmithSchool of Nursing, University of Louisville, Louisville, KY, 40202, USA.
Rachel L KemberDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Renato PolimantiDepartment of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Joel GelernterDepartment of Psychiatry, Yale School of Medicine and VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
David A FiellinInternal Medicine, Yale School of Medicine, New Haven, CT, 06515, USA.
Janet P TateVeterans Aging Cohort Study Coordinating Center, VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
Henry R KranzlerMental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA.
William C BeckerInternal Medicine, Yale School of Medicine, New Haven, CT, 06515, USA.
VACS Project Team
Yale University · USVA Connecticut Healthcare System · USBrown University · USRutgers, The State University of New Jersey · USUniversity of London · GBUniversity of Louisville · USUniversity of Utah · US

Funding

Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Yale Drug use, Addiction and HIV Research Scholars (DAHRS)K12DA033312 · NIDA · YALE UNIVERSITY · PI Gail D'Onofrio, Patrick O'Connor · 2013 to 2026
$7.2M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Non-Medical Use of Prescription Opioids Among HIV-Infected Individuals: Trajectories and Impact on Health OutcomesR01DA040471 · NIDA · YALE UNIVERSITY · PI EDELMAN, E. JENNIFER · 2016 to 2018
$716k
Agency for Healthcar Research and Quality R18-HS023258Agency for Healthcar Research and Quality U19-HS021112AHRQ HHS R18 HS023258AHRQ HHS U19 HS021112BLRD VA I01 BX003341NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01-AA020790NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U10-AA013566NIAAA NIH HHS U24 AA020794NIAAA NIH HHS U24-AA020794NIDA NIH HHS K12 DA033312NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA040471NIDA NIH HHS R01-DA040471NIDA NIH HHS R01-DA12690U.S. Department of Veterans Affairs i01-BX003341Yale School of Medicine Drug Use, Addiction, and HIV Research Scholars Program K12-DA033312
6 · The paper itself

Abstract

A better understanding of predisposition to transition to high-dose, long-term opioid therapy after initial opioid receipt could facilitate efforts to prevent opioid use disorder (OUD). We extracted data on 69,268 patients in the Veterans Aging Cohort Study who received any opioid prescription between 1998 and 2015. Using latent growth mixture modelling, we identified four distinguishable dose trajectories: low (53%), moderate (29%), escalating (13%), and rapidly escalating (5%). Compared to low dose trajectory, those in the rapidly escalating dose trajectory were proportionately more European-American (59% rapidly escalating vs. 38% low); had a higher prevalence of HIV (31% vs. 29%) and hepatitis C (18% vs. 12%); and during follow-up, had a higher incidence of OUD diagnoses (13% vs. 3%); were hospitalised more often [18.1/100 person-years (PYs) vs. 12.5/100 PY]; and had higher all-cause mortality (4.7/100 PY vs. 1.8/100 PY, all p < 0.0001). These measures can potentially be used in future prevention research, including genetic discovery.

Indexed as

VeteransAdultAnalgesics, OpioidBlack or African AmericanChronic PainCohort StudiesFemaleHepatitis CHIV InfectionsHospitalizationHumansIncidenceMaleMiddle AgedMortalityOpioid-Related DisordersAnalgesics, OpioidElectronic health recordsOpioidsPharmacoepidemiologyPharmacy fill dataPhenotype

Identifiers

PMID31317364
PMCPMC7344341
OpenAlexW2958721085

What OpenQuestion holds

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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.