Evidence map›Paper›PMID 35806956›Full record

ArticleJournal of clinical medicine2022

Evaluation of Cough Medication Use Patterns in Ambulatory Care Settings in the United States: 2003-2018.

Seonkyeong Yang, Juan M Hincapie-Castillo, Xuehua Ke, Jonathan Schelfhout, Helen Ding, Mandel R Sher, Lili Zhou, Ching-Yuan Chang, Debbie L Wilson, Wei-Hsuan Lo-Ciganic

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 9 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

10 authors at 6 institutions in 1 country.

Seonkyeong YangDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-5198-8544
Juan M Hincapie-CastilloDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Xuehua KeCenter for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Rahway, NJ 07065, USA.
Jonathan SchelfhoutCenter for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Rahway, NJ 07065, USA.
Helen DingCenter for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Rahway, NJ 07065, USA.
Mandel R SherCenter for Cough, Largo, FL 33778, USA.
Lili ZhouGlobal Patient Safety, BeiGene USA, Inc., San Mateo, CA 94403, USA.
Ching-Yuan ChangDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL 32611, USA.
Debbie L WilsonDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-1640-5497
Wei-Hsuan Lo-CiganicDepartment of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0001-6590-4770
Merck & Co., Inc., Rahway, NJ, USA (United States) · USUniversity of Florida · USCenter for Drug Evaluation and Research · USFlorida Center for Gastroenterology · USNational Patient Safety Foundation · USUniversity of North Carolina at Chapel Hill · US

Funding

Merck Sharp & Dohme Corp. C2116 (NIS008067)
6 · The paper itself

Abstract

Using 2003−2018 National Ambulatory Medical Care Survey data for office-based visits and 2003−2018 National Hospital Ambulatory Medical Care Survey data for emergency department (ED) visits, we conducted cross-sectional analyses to examine cough medication (CM) use trends in the United States (US) ambulatory care settings. We included adult (≥18 years) patient visits with respiratory-infection-related or non-infection-related cough as reason-for-visit or diagnosis without malignant cancer or benign respiratory tumor diagnoses. Using multivariable logistic regressions, we examined opioid antitussive, benzonatate, dextromethorphan-containing antitussive, and gabapentinoid use trends. From 2003−2005 to 2015−2018, opioid antitussive use decreased in office-based visits (8.8% to 6.4%, Ptrend = 0.03) but remained stable in ED visits (6.3% to 5.9%, Ptrend = 0.99). In both settings, hydrocodone-containing antitussive use declined over 50%. Benzonatate use more than tripled (office-based:1.6% to 4.8%; ED:1.5% to 8.0%; both Ptrend < 0.001). Dextromethorphan-containing antitussive use increased in ED visits (1.8% to 2.6%, Ptrend = 0.003) but stayed unchanged in office-based visits (3.8% to 2.7%; Ptrend = 0.60). Gabapentinoid use doubled in office-based visits (1.1% in 2006−2008 to 2.4% in 2015−2018, Ptrend < 0.001) but was negligible in ED visits. In US office-based and ED ambulatory care settings, hydrocodone-containing antitussive use substantially declined from 2003 to 2018, while benzonatate use more than tripled, and dextromethorphan-containing antitussive and gabapentinoid use remained low (<3%).

Indexed as

ambulatory care visitsantitussivebenzonatatecoughdextromethorphanemergency departmentgabapentinoidNAMCSNHAMCSopioid antitussive

Identifiers

PMID35806956
PMCPMC9267927
OpenAlexW4283590133

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.