ArticleInjury epidemiology2018
Using matrix frame to present road traffic injury pattern.
Article in Injury epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Risk of Injury and Mortality among Driver Victims Involved in Single-Vehicle Crashes in Taiwan: Comparisons between Vehicle Types.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough many epidemiological studies have presented road traffic injuries (RTIs) according to the victim's mode of transport, very few have mentioned the mode of transport of the victim's counterparts. We sought to use matrix frame to present the pattern of RTIs based on the International Classification of Diseases, Tenth Revision (ICD-10) codes.
methodsPatients admitted to Hualien Tzu Chi Hospital, Taiwan, for RTIs from January 1, 2013 to December 31, 2016 were included. The numbers and proportions of various crash types of RTIs were presented using a matrix frame. The row margin of the matrix is the second character of ICD-10 codes V00-V79 (victim's mode of transport), and the column margin of the matrix is the third character of ICD-10 codes V00-V79 (mode of transport of victim's counterpart), constituting a 80-cell grid.
resultsIn total, 2727 patients were included. The cell with the highest proportion in the matrix grid was ICD-10 code V23 "motorcycle rider injured in collision with car, pick-up truck or van" (27.0%, 737/2727), followed by that of V27 "motorcycle rider injured in collision with fixed or stationary object" (12.5%, 342/2727) and V28 "motorcycle rider injured in noncollision transport accident" (12.2%, 334/2727). The matrix pattern of RTIs differed with sex and age.
conclusionsBy using the matrix frame, we can easily understand the RTI pattern for different demographic groups and identify the priority crash types.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.