Evidence map›Paper›PMID 41282649›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Evaluating tramadol utilization and patterns by county-level social determinants of health characteristics from 2015 to 2022.

Chisom Eze, Marie Abate, Gordon Smith, Zheng Dai, Nathan Wood, Mohammad Al-Mamun

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chisom EzeDepartment of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA.ORCID 0009-0001-1447-5504
Marie AbateDepartment of Clinical Pharmacy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA.
Gordon SmithDepartment of Epidemiology and Biostatistics, School of Public Health, West Virginia University, Morgantown, West Virginia, USA.
Zheng DaiHealth Affairs Institute, Health Sciences Center, West Virginia University, Morgantown, West Virginia, USA.ORCID 0000-0002-5943-0748
Nathan WoodWest Virginia Board of Pharmacy, Charleston, West Virginia, USA.ORCID 0000-0002-5798-9994
Mohammad Al-MamunDepartment of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA.ORCID 0000-0001-9509-4414

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

Background: Tramadol, an opioid analgesic, is liable to abuse and implicated in drug overdose deaths in the U.S. However, tramadol use and its driving factors have not been intricately examined. This study aims to evaluate the tramadol utilization trends by dosage and county, and social determinants of health (SDoH)-related factors associated with the utilization rates. Methods: The retrospective study utilized 2015-2022 WV controlled substances monitoring program, CDC opioid dispensing rate, and County Health Ranking and Roadmaps data. Average tramadol daily dose and morphine milligram equivalent were calculated. Annual tramadol dispensing and use rate per 100 population were calculated for WV and each county. Pooled Poisson regression model was used to analyze the relationship between tramadol dispensing rate, opioid dispensing rate, and SDoH variables. Results: Tramadol dispensing rate declined by 35% (2015-2022), but varied within counties with Grant (34.10), McDowell (28.91), and Wyoming (26.67) average annual rates exceeding the overall WV rate (17.90). High tramadol dispensing rate was associated with a high percentage of the population with poor/fair health ( Conclusion: Our study found heterogenous trends of tramadol dispensing rate within WV and was associated with county-wise health status, physical inactivity, insurance, PCP, and opioid dispensing rates. Considering these factors in local surveillance might improve health, and reduce disease burden, drug, and health resource utilization.

Identifiers

PMID41282649
PMCPMC12637732

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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.