Evidence map›Paper›PMID 40248526›Full record

ArticleCureus2025

Examining 12 Years of Pedestrian Injuries and Fatalities in Wichita, Kansas: A Retrospective Study.

Amanda I Aguila Gonzalez, Elizabeth Ablah

Abstract read
In one paragraph

Article in Cureus, 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

2 authors.

Amanda I Aguila GonzalezDepartment of Population Health, University of Kansas School of Medicine - Wichita, Wichita, USA.
Elizabeth AblahDepartment of Population Health, University of Kansas School of Medicine - Wichita, Wichita, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background As more people walk and bike in their communities, there is a corresponding increase in the number of crashes with motor vehicles. Each year, a significant number of pedestrians die in motor vehicle crashes in the U.S., and many more are injured. Safety interventions to decrease motor vehicle crashes have included roadway design, safety programs, and laws. However, there is still much that is unknown about the factors that impact motor vehicle crashes with pedestrians. This study aimed to describe the pedestrian motor vehicle crashes occurring in Wichita, Kansas, from 2008 through 2019, specifically to identify factors associated with fatalities/serious injuries of pedestrians. Methods This study was a retrospective analysis of data from the Kansas Motor Vehicle Accident Reports from January 2008 through December 2019. Bivariate and multivariate logistical regression analyses were conducted to determine factors associated with fatalities/serious injuries of pedestrians from motor vehicle crashes. Results From 2008 through 2019, 979 motor vehicle crashes involving a pedestrian were reported, with an upward trend of crashes reported over the years. Of the total motor vehicle crashes reported, 97.5% (n = 955) resulted in a pedestrian injury. In 67.3% (n = 659) of motor vehicle crash cases involving a pedestrian, medical assistance and transport to the nearest hospital occurred. The severity of injury varied per crash; 18.2% (n = 177) of crashes resulted in a severe or fatal injury for a pedestrian. There were significant associations between pedestrian serious/fatal injuries and pedestrian age, driver age, time of day, road characteristics, vehicle maneuver, vehicle damage, pedestrian location before impact, pedestrian substance abuse, and driver substance abuse. Conclusions The frequency of pedestrian crashes in Wichita either remained consistent or increased over the course of 12 years, underscoring a need for action to increase safety and implement policy efforts to decrease crash prevalence. Further exploration of pedestrian crashes through a multilevel model can yield knowledge of individual behaviors and environmental factors contributing to crashes.

Indexed as

motor vehicle crash (mvc)pedestrianpedestrian vs autosafetysevere injurytraffic fatality

Identifiers

PMID40248526
PMCPMC12005353

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.