Evidence map›Paper›PMID 33409097›Full record

ArticleCureus2020

Alarming Rate of Substance Use in Motor Vehicle Collisions at an Appalachian Trauma Center.

Rebecca Proctor, Melissa P Taylor, Megan Quinn, Bracken Burns

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2020. 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
0.5field-weighted citation impact, top 27% 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, 3 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

4 authors at 1 institution in 1 country.

Rebecca ProctorSurgery, Quillen College of Medicine, East Tennessee State University, Johnson City, USA.
Melissa P TaylorSurgery, Quillen College of Medicine, East Tennessee State University, Johnson City, USA.
Megan QuinnEpidemiology and Public Health, College of Public Health, East Tennessee State University, Johnson City, USA.
Bracken BurnsSurgery, Quillen College of Medicine, East Tennessee State University, Johnson City, USA.
East Tennessee State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prescription drug use is a growing public health concern and studies show it is a contributing risk to motor vehicle collisions. The Appalachian region is also known to have an ever-increasing number of patients on controlled substances. This retrospective study of patients from the years 2011-2015 on controlled substances presenting to an Appalachian Level 1 trauma center after a motor vehicle or motorcycle collision was analyzed in order to determine the rate of opioid use among victims of motor vehicle collisions in the system, as well as evaluate for any differences in resource utilization between these patients and patients not using controlled substances. A total of 2,570 patients were included in the study. Seven-hundred sixty-eight (29.9%) individuals were found to be on a controlled substance. There was a similar mortality rate in both groups (2.8% vs 3.6%). There was no significant difference in hospital length of stay (LOS), intensive care unit (ICU) LOS, ventilator days, or injury severity score. Statistically significant findings include the type of crash (motor vehicle crash vs motorcycle crash) (p=0.003) and position in the vehicle (driver vs passenger) (p<0.001). Motor vehicle crashes and driver position were significantly associated with the presence of a controlled substance.

Indexed as

appalachiacontrolled substancesmotor vehicle collisionsubstance abuse

Identifiers

PMID33409097
PMCPMC7781544
OpenAlexW3109126143

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.