Evidence map›Paper›PMID 36531101›Full record

ArticlePreventive medicine reports2022

Trends in child pedestrian motor vehicle collision injury rates by neighborhood deprivation score in Toronto, Canada.

N Schwartz, L Rothman, A Howard, T To, C Macarthur

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive medicine reports, 2022. 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, top 85% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

N SchwartzSchool of Occupational and Public Health, Ryerson University, 350 Victoria St, Toronto, ON M5B 2K3, Canada.
L RothmanSchool of Occupational and Public Health, Ryerson University, 350 Victoria St, Toronto, ON M5B 2K3, Canada.
A HowardChild Health Evaluative Sciences, SickKids Research Institute, 686 Bay St, Toronto, ON M5G 0A4, Canada.
T ToChild Health Evaluative Sciences, SickKids Research Institute, 686 Bay St, Toronto, ON M5G 0A4, Canada.
C MacarthurChild Health Evaluative Sciences, SickKids Research Institute, 686 Bay St, Toronto, ON M5G 0A4, Canada.
Institute for Clinical Evaluative Sciences · CAToronto Metropolitan University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined trends from 2000 to 2019 in child pedestrian motor vehicle collision (PMVC) injury rates in Toronto, Canada, to see if injury trends varied by neighbourhood deprivation. This 20-year period was associated with major road safety policy changes in the City. A Poisson regression analysis examined police-reported data on children (age 1-19 years), killed or seriously injured (KSI) PMVC rates, by deprivation status (using the Ontario Marginalization Index), over the period 2000-2019. Models controlled for location (urban core v. inner suburbs) and evaluated potential interactions. There were 523 child pedestrian KSI collisions from 2000 to 2019. Over this period, KSI rates decreased by more than 50 % across all neighbourhood deprivation levels. Steep declines from 2000 to 2010 were followed by level or increasing child PMVC rates from 2010 to 2019. Higher deprivation was associated with slightly elevated KSI rates; although not statistically significant. It is important to learn from road safety policy "successes" and ensure that future road safety interventions are applied equitably across areas, accounting for deprivation and location.

Indexed as

Child and youthRoad injurySocial inequalities in healthTrends

Identifiers

PMID36531101
PMCPMC9747651
OpenAlexW4308922190

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.