Evidence map›Paper›PMID 23594683›Full record

ArticleMMWR. Morbidity and mortality weekly report2013

Motor vehicle traffic-related pedestrian deaths - United States, 2001-2010.

Centers for Disease Control and Prevention (CDC)

Abstract read
In one paragraph

Article in MMWR. Morbidity and mortality weekly report, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Contextualizing Walkability: Do Relationships Between Built Environments and Walking Vary by Socioeconomic Context?Journal of the American Planning Association. American Planning Association · 2017
    Article
  10. Article
  11. Article
  12. 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

1 author.

Centers for Disease Control and Prevention (CDC)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor vehicle traffic crashes are the leading cause of unintentional injury-related death in the United States, resulting in 33,687 deaths in 2010. Pedestrian travel makes up 10.5% of all trips (i.e., any travel from one address to another) taken in the United States, and pedestrians represent 13% of all motor vehicle traffic-related deaths. To determine traffic-related pedestrian death rates by sex, age group, race/ethnicity, and urbanization level, CDC analyzed 2001-2010 data from the National Vital Statistics System (NVSS). The results of that analysis indicated that the overall, annualized, age-adjusted traffic-related pedestrian death rate was 1.58 deaths per 100,000 population. Persons aged ≥75 years and those categorized as American Indian/Alaska Native (AI/AN) had the highest death rates, and age group differences varied by race/ethnicity. The results suggest that the overall pedestrian death rate could increase with the aging and growing racial/ethnic diversity of the U.S. population. The U.S. Census Bureau projects that the number of persons aged ≥75 years will more than double, from approximately 18 million in 2011 (6% of the U.S. population) to 44 million in 2040 (12% of the population); minority racial/ethnic populations are projected to increase from 116 million in 2010 (37% of the population) to 186 million in 2040 (49% of the population).* Strategies to prevent pedestrian deaths should include consideration of the needs of older adults and cultural differences among racial/ethnic populations.

Indexed as

Accidents, TrafficAdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolDatabases, FactualEthnicityFemaleHumansInfantMaleMiddle AgedRisk Factors

Identifiers

PMID23594683
PMCPMC4604973

What OpenQuestion holds

Textmetadata
LicenceCC0
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.