Evidence map›Paper›PMID 35249204›Full record

ArticleCNS drugs2022

Signals of Muscle Relaxant Drug Interactions Associated with Unintentional Traumatic Injury: A Population-Based Screening Study.

Ghadeer K Dawwas, Sean Hennessy, Colleen M Brensinger, Emily K Acton, Warren B Bilker, Sophie Chung, Sascha Dublin, John R Horn, Melanie M Manis, Todd A Miano and 5 more

Open access · greenAbstract read
In one paragraph

Article in CNS drugs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 7 institutions in 1 country.

Ghadeer K DawwasCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Sean HennessyCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Colleen M BrensingerCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Emily K ActonCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Warren B BilkerCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Sophie ChungAthenaHealth, Inc., Watertown, MA, USA.
Sascha DublinKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
John R HornDepartment of Pharmacy, School of Pharmacy, University of Washington, Seattle, WA, USA.
Melanie M ManisDepartment of Pharmacy Practice, McWhorter School of Pharmacy, Samford University, Birmingham, AL, USA.
Todd A MianoCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
David W OslinCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Thanh Phuong Pham NguyenCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Samantha E SopranoCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Douglas J WiebeDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Charles E LeonardCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA. celeonar@pennmedicine.upenn.edu.ORCID 0000-0002-5092-9657
University of Pennsylvania · USathenahealth · USKaiser Permanente Washington Health Research Institute · USPhiladelphia VA Medical Center · USSamford University · USTranslational Therapeutics (United States) · USUniversity of Washington · US

Funding

Clinical Importance of Drug-Drug InteractionsR01AG025152 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2006 to 2021
$8.1M
Drug interactions involving psychoactive drugsR01AG060975 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Charles Edward Leonard · 2019 to 2026
$3.9M
Drug-Drug Interactions Involving Methadone and BuprenorphineR01DA048001 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN · 2019 to 2023
$2.9M
Enhancing the Utility of the Trend-in-Trend Research DesignR01AG064589 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, SMALL, DYLAN S · 2019 to 2022
$2.2M
NIA NIH HHS R01 AG025152NIA NIH HHS R01AG025152NIA NIH HHS R01 AG060975NIA NIH HHS R01AG060975NIA NIH HHS R01 AG064589NIA NIH HHS R01AG064589NIDA NIH HHS R01 DA048001NIDA NIH HHS R01DA048001
6 · The paper itself

Abstract

backgroundUse of muscle relaxants is rapidly increasing in the USA. Little is understood about the role of drug interactions in the known association between muscle relaxants and unintentional traumatic injury, a clinically important endpoint causing substantial morbidity, disability, and death.

objectiveWe examined potential associations between concomitant drugs (i.e., precipitants) taken with muscle relaxants (affected drugs, i.e., objects) and hospital presentation for unintentional traumatic injury.

methodsIn a series of self-controlled case series studies, we screened to identify drug interaction signals for muscle relaxant + precipitant pairs and unintentional traumatic injury. We used Optum's de-identified Clinformatics

resultsWe identified 74,657 people who initiated muscle relaxants and experienced an unintentional traumatic injury, in whom we studied concomitant use of 2543 muscle relaxant + precipitant pairs. After adjusting for time-varying confounders, 16 (0.6%) pairs were statistically significantly and positively associated with injury, and therefore deemed signals of a potential drug interaction. Among signals, semi-Bayes shrunk, confounder-adjusted rate ratios ranged from 1.29 (95% confidence interval 1.04-1.62) for baclofen + sertraline to 2.28 (95% confidence interval 1.14-4.55) for methocarbamol + lamotrigine.

conclusionsUsing real-world data, we identified several new signals of potential muscle relaxant drug interactions associated with unintentional traumatic injury. Only one among 16 signals is currently reported in a major drug interaction knowledge base. Future studies should seek to confirm or refute these signals.

Indexed as

Emergency Service, HospitalMusclesBayes TheoremDatabases, FactualDrug InteractionsHumans

Identifiers

PMID35249204
PMCPMC9375100
OpenAlexW4220682381

What OpenQuestion holds

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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.