Evidence map›Paper›PMID 32105169›Full record

ArticleJournal of managed care & specialty pharmacy2020

Trends in Gabapentin Prescribing in a Commercially Insured U.S. Adult Population, 2009-2016.

Nathan J Pauly, Chris Delcher, Svetla Slavova, Eric Lindahl, Jeff Talbert, Patricia R Freeman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 81 citations in OpenAlex.

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  14. Gabapentinoid Dispensing to Children and Adolescents in the U.S.American journal of preventive medicine · 2025
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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

6 authors at 1 institution in 1 country.

Nathan J PaulyDepartment of Health Policy, Management, and Leadership, West Virginia University School of Public Health, Morgantown.
Chris DelcherInstitute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington.
Svetla SlavovaDepartment of Biostatistics, University of Kentucky College of Public Health, Lexington.
Eric LindahlInstitute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington.
Jeff TalbertInstitute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington.
Patricia R FreemanInstitute for Pharmaceutical Outcomes and Policy, University of Kentucky College of Pharmacy, Lexington.
University of Kentucky · US

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
NCATS NIH HHS UL1 TR001998
6 · The paper itself

Abstract

backgroundGabapentin is prescribed for a variety of conditions and is often used off label. It is important to understand the prevalence of gabapentin prescribing and the characteristics of individuals who are prescribed gabapentin, given increasing concern regarding its potential for misuse.

objectivesTo (a) examine state- and region-level prevalence and trends in gabapentin prescribing from 2009 to 2016 and (b) characterize demographic and clinical characteristics of individuals prescribed gabapentin in a nationwide population of commercially insured adults.

methodsThis retrospective, longitudinal study examined trends in gabapentin prescribing from 2009 to 2016. The study population included individuals aged 18-64 years who were enrolled in a commercial insurance plan at any point from 2009 to 2016. Individuals who were prescribed gabapentin were defined as beneficiaries with at least 1 gabapentin prescription claim in a calendar year (CY). A cross-sectional descriptive analysis was performed to examine differences in demographic and clinical characteristics of individuals prescribed or not prescribed gabapentin in CY 2016.

resultsThe prevalence of gabapentin prescribing nearly doubled from 2009 to 2016. During this time, gabapentin prescribing increased in every state (range: 44%-179%). State-specific prevalence rates in 2016 varied from 12.7 to 43.9 per 1,000 beneficiaries. Overall, 2.7% of beneficiaries filled ≥ 1 gabapentin prescription in 2016. Individuals prescribed gabapentin were more likely to fill opioid prescriptions (60.8% vs. 16.5%,

conclusionsThe prevalence of gabapentin prescribing among a U.S. privately insured population has increased steadily in recent years. Additional research should examine coprescribing of gabapentin in the context of the opioid epidemic. DISCLOSURES: The project described in this study was supported by the NIH National Center for Advancing Translational Sciences through grant number UL1TR001998. This study was also partially supported by grant number 2017-PM-BX-K026 (Data-Driven Responses to Prescription Drug Misuse in Kentucky) awarded by the Bureau of Justice Assistance. Viewpoints or opinions in this document are those of the authors and do not necessarily represent the official position or policies of the U.S. Department of Justice or the official views of the NIH. The authors do not have any conflicts of interest to report. Portions of this study have been previously presented in poster presentations at the 2019 Academy Health Annual Research Meeting; June 2-4, 2019; Washington, DC, and the 2019 University of Kentucky Substance Use Research Day; March 3, 2019; Lexington, KY.

Indexed as

AdolescentAdultAnalgesicsAnticonvulsantsFemaleGabapentinHumansLongitudinal StudiesMaleMiddle AgedPractice Patterns, Physicians'Retrospective StudiesUnited StatesYoung AdultAnalgesicsAnticonvulsantsGabapentin

Identifiers

PMID32105169
PMCPMC7155217
OpenAlexW3008224421

What OpenQuestion holds

Textmetadata
LicenceTDM
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.